Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Evolution and development of fruits of Erycina pusilla and other orchid species

  • Dewi Pramanik ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

    dewi.pramanik@naturalis.nl

    Affiliations Evolutionary Ecology Group, Naturalis Biodiversity Center, Leiden, The Netherlands, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands, National Research and Innovation Agency Republic of Indonesia (BRIN), Central Jakarta, Indonesia

  • Annette Becker,

    Roles Conceptualization, Methodology, Validation, Writing – review & editing

    Affiliation Development Biology of Plants, Institute for Botany, Justus-Liebig-University Giessen, Giessen, Germany

  • Clemens Roessner,

    Roles Data curation, Formal analysis, Visualization, Writing – review & editing

    Affiliation Development Biology of Plants, Institute for Botany, Justus-Liebig-University Giessen, Giessen, Germany

  • Oliver Rupp,

    Roles Data curation, Formal analysis

    Affiliation Department of Bioinformatics and Systems Biology, Justus Liebig University, Giessen, Germany

  • Diego Bogarín,

    Roles Formal analysis, Methodology, Visualization

    Affiliations Evolutionary Ecology Group, Naturalis Biodiversity Center, Leiden, The Netherlands, Jardín Botánico Lankester, Universidad de Costa Rica, Cartago, Costa Rica

  • Oscar Alejandro Pérez-Escobar,

    Roles Formal analysis

    Affiliation Comparative Plant and Fungal Biology, Royal Botanicals Gardens, Kew Richmond Surrey, London, United Kingdom

  • Anita Dirks-Mulder,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization

    Affiliation Faculty of Science and Technology, University of Applied Sciences Leiden, Leiden, The Netherlands

  • Kevin Droppert,

    Roles Data curation, Investigation, Validation, Visualization

    Affiliation Faculty of Science and Technology, University of Applied Sciences Leiden, Leiden, The Netherlands

  • Alexander Kocyan,

    Roles Data curation, Formal analysis

    Affiliation Botanical Museum, Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland

  • Erik Smets,

    Roles Conceptualization, Writing – original draft, Writing – review & editing

    Affiliations Evolutionary Ecology Group, Naturalis Biodiversity Center, Leiden, The Netherlands, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands, Ecology, Evolution and Biodiversity Conservation, KU Leuven, Heverlee, Belgium

  • Barbara Gravendeel

    Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Evolutionary Ecology Group, Naturalis Biodiversity Center, Leiden, The Netherlands, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands, Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands

Abstract

Fruits play a crucial role in seed dispersal. They open along dehiscence zones. Fruit dehiscence zone formation has been intensively studied in Arabidopsis thaliana. However, little is known about the mechanisms and genes involved in the formation of fruit dehiscence zones in species outside the Brassicaceae. The dehiscence zone of A. thaliana contains a lignified layer, while dehiscence zone tissues of the emerging orchid model Erycina pusilla include a lipid layer. Here we present an analysis of evolution and development of fruit dehiscence zones in orchids. We performed ancestral state reconstructions across the five orchid subfamilies to study the evolution of selected fruit traits and explored dehiscence zone developmental genes using RNA-seq and qPCR. We found that erect dehiscent fruits with non-lignified dehiscence zones and a short ripening period are ancestral characters in orchids. Lignified dehiscence zones in orchid fruits evolved multiple times from non-lignified zones. Furthermore, we carried out gene expression analysis of tissues from different developmental stages of E. pusilla fruits. We found that fruit dehiscence genes from the MADS-box gene family and other important regulators in E. pusilla differed in their expression pattern from their homologs in A. thaliana. This suggests that the current A. thaliana fruit dehiscence model requires adjustment for orchids. Additionally, we discovered that homologs of A. thaliana genes involved in the development of carpel, gynoecium and ovules, and genes involved in lipid biosynthesis were expressed in the fruit valves of E. pusilla, implying that these genes may play a novel role in formation of dehiscence zone tissues in orchids. Future functional analysis of developmental regulators, lipid identification and quantification can shed more light on lipid-layer based dehiscence of orchid fruits.

Introduction

The angiosperm diversification record extends back to the early Cretaceous [1]. Since their appearance in the fossil record, angiosperms have radiated massively resulting in species richness and ecological dominance surpassing all other plant lineages [2]. They comprise approximately 350,500 described species [3]. The main evolutionary innovation of angiosperms is the ability to produce flowers [4] and gynoecia (the sum of all carpels) to protect developing ovules and seeds. The fruit is a structure that develops in flowering plants from the gynoecia after fertilization [5]. Different fruit types in angiosperms evolved with free (apocarpous) or (partly) fused carpels (syncarpous), a dry or fleshy texture, various pericarp layer differentiations, and different ways of opening [68]. The most abundant fruit types are dry dehiscent, dry indehiscent and fleshy, with frequent transitions between the different fruit types [9].

The gynoecium of A. thaliana is a silique consisting of two carpels forming one central cavity that is divided in two by a false septum or replum. After fertilization and fruit maturation, the fruit opens by separation of the two valves from the replum. The dehiscence zone (DZ) lies at the boundaries between the valves and the replum. At maturity, the DZ forms a separate layer that is not lignified, placed between lignified cells in the valve and the lignified vasculature of the replum [10]. The development and separation of the DZ are controlled by a complex molecular network, consisting of a dynamic interplay among hormones and transcription factors [11]. FRUITFULL (FUL) plays a pivotal role in valve development [10, 12], and REPLUMLESS (RPL) promotes replum development [13]. Meanwhile, SHATTERPROOF 1/2 (SHP1/2) controls valve margin formation and dehiscence [14]. These genes activate other valve margin genes, e.g. INDEHISCENT (IND) and ALCATRAZ (ALC) [15, 16]. IND is expressed in both the lignified and separation layer [14] whereas SPT/ALC is expressed in the separation layer only [15]. Together with RPL, FUL represses the expression of SHP1/2 [12, 17]. Combined action of SHP1/2, IND, and ALC forms a regulatory network for valve margin formation and proper specification of different cell types within the valve margin and DZ [14, 17]. In addition to these genes, the class I KNOTTED1-like homeobox (KNOX) gene BREVIPEDICELLUS (BP aka KNAT1) is expressed in valve margin and replum, and together with RPL, promotes replum formation [18]. While APETALA2 (AP2), FILAMENTOUS FLOWER (FIL), YABBY3 (YAB3), and JAGGED (JAG) repress BP/RPL, these genes are also crucial for precise positioning of the valve margin by preventing replum and valve margin overgrowth [19, 20]. Plant-specific YABBY proteins such as CRABS CLAWS-like/DROOPING-LEAF-like (CRC/DL) genes may also be involved in fruit DZ formation. CRC/DL genes are the key developmental regulators for carpel and gynoecium development in plants [21].

The orchid family is known for its spectacular flower shape and size diversity. Less known is that orchids also display very diverse fruit morphologies [22]. There are two main types of orchid fruits: indehiscent fleshy and dehiscent dry ones. Fleshy indehiscent orchid fruits are rare and only occur in some species of Apostasia and Neuwiedia (subfamily Apostasioideae), Selenipedium (subfamily Cypripedioideae), Cyrtosia, Pogoniopsis, and Vanilla (subfamily Vanilloideae), Corymborkis, Palmorchis, and Yoania (subfamily Epidendroideae) [2327]. The prominent characteristic of fleshy indehiscent orchid fruits is the hard and thick seed coat as an adaptation to endozoochory [28, 29]. Dry dehiscent orchid fruits evolved in 99% of the species of the Orchidaceae. The seeds of dehiscent orchid fruits have fragile, thin coats formed by single-cell layers and non-lignified cells surrounding the embryo [24] as an adaptation to wind dispersion.

Since genes involved in fruit formation of orchids are unknown, we used information from A. thaliana as a starting point knowing about the fundamental differences between fruit development and dehiscence of orchids and A. thaliana. At maturity, dehiscence in A. thaliana occurs at the DZ placed between a region of lignified cells in the valve and the lignified vasculature of the replum. The resulting valves detach from the replum freeing the seeds [10, 30]. In contrast to A. thaliana, and according to the “split carpel model” [22], inferior orchid fruits consist of six valves, three broad fertile ones, bearing the ovules, and three narrow sterile valves (Fig 1). The sterile valves develop from the sepal bases and in many cases may appear to split the carpel opposite to it. In contrast, the fertile valves each develop from two carpel-halves and a petal base, carrying one marginal placenta [22] (Fig 1). When a dehiscent orchid fruit grows in size and width, pressure is slowly building up, and when the fruit is ripe it splits open in the areas between the valves [22]. The valves of the E. pusilla fruit begin to separate longitudinally 16 weeks after pollination (WAP), starting at the apex and remaining fused at the base. The fruit begins to open at the endocarp borders of the sterile valves and continues to open along the DZ at the boundaries of fertile and sterile valves by rupturing the cells. Typically, the fruit splits into three wide seed bearing fertile valves along three of six fusion zones, while the narrow sterile valves remain connected to one of the fertile valves [31].

thumbnail
Fig 1. Cross section of Erycina pusilla fruit 8 weeks after pollination reflecting the split carpel model according to Rasmussen and Johansen (2006).

Abbreviations: F1 = fertile valve originating from labellum; F2 = fertile valve originating from lateral petal 1; F2 = fertile valve originating from lateral petal 2; S1 = sterile valve originating from lateral sepal 1; S2 = sterile valve originating from dorsal sepal; S3 = sterile valve originating from lateral sepal 2; Ca = carpel; DVB = dorsal vascular bundle; LVD = lateral vascular bundle.

https://doi.org/10.1371/journal.pone.0286846.g001

E. pusilla fruit DZ cells appear within one WAP at the border between the sterile and fertile valve margins. These cells are fully developed at three WAP and then consist of two layers [31] (Fig 1). Even though the development of DZ’s has been described, little information about genes involved in DZ development and differentiation has been obtained for orchids. Combined transcriptome and qPCR analyses revealed expression of MADS-domain transcription factors like EpAG, EpSEP, EpAGL6, EpSVP and the A. thaliana dehiscence-related genes HEC3, RPL, and SPT/ALC in ripening fruits of E. pusilla [31]. However, these authors did not focus on development of the DZ and genes specifically related to DZ cell formation. They discovered that a layer of cuticle lipids is formed in the DZ of E. pusilla fruits instead of the lignification patterning well known from A. thaliana. Candidate genes involved in cuticle lipid biosynthesis can be derived from triacylglycerol (TAG), wax, or cutin biosynthesis. The specific genes and their role in the formation of cuticle lipids in the DZ of E. pusilla are still unknown.

We aimed to study the evolution and development of DZ formation in orchid fruits in more detail. First, we examined the morphology and anatomy of fruits of 44 orchid species representing 31 genera of five subfamilies to investigate the evolutionary relationship between fruit traits by ancestral state reconstruction (ASR) analysis. Next, we studied the expression of a selection of candidate genes during DZ development of fruits of the emerging orchid model E. pusilla. We formulated the following hypotheses: (1) DZ lignification and shorter fruit ripening time co-evolved, especially in species coping with relatively short seasons suitable for seeds dispersal; (2) there are different expression patterns of SEP, SVP, SPT, HEC3, and RPL orthologs in the DZ of E. pusilla as compared with A. thaliana, as both species have a morphologically different DZ: lignified versus non lignified; and (3) expression of genes involved in lipid synthesis is upregulated in older fruits of E. pusilla due to the presence of a lipid layer in the DZs.

Material and methods

Morphological analysis

Scoring of morphological traits.

Based on differences in morphological characteristics of orchid fruits in ripening and opening, we selected six different key morphological traits that were straightforward to score, i.e. fruit ripening period (≤ 4 or > 4 months), fruit orientation (erect or pendant), fruit dehiscence (indehiscent or dehiscent), number of slits in mature fruits (< 3 or ≥ 3), fusion of valves during dehiscence (fused at base and apex, or fused at the base only), and lignification of the valves and/or DZ (either non-lignified or lignified). These characters were scored from freshly harvested ripe fruits of a selection of orchid species cultivated at the Hortus Botanicus Leiden (The Netherlands), Lankester Botanical Garden (Costa Rica), Utrecht Botanic Gardens (The Netherlands) and Bochum Botanical Garden (Germany) (S1 Table).

Lignification of orchid fruits.

A survey of fruit DZ’s was made using phloroglucinol staining of mature freshly harvested fruits. Handmade cross-sections of fruits were treated with 100% lactic acid for an hour at 60°C to clear the tissue. The sections were subsequently stained using 1% phloroglucinol in 96% ethanol for an hour, then immersed in 25% (v/v) hydrochloric acid for 2–5 minutes until the stain was visible and immediately examined under a Binocular microscope (Stereo Discovery V12, Carl Zeiss Microscopy GmbH., Jena, Germany). Sections were washed using demineralized water in between each step. Lignification of valve and/or DZ tissue was scored as present (1) or absent (0) (S1 and S2 Tables).

Ancestral state reconstruction

We aligned plastid matK and rbcL and nuclear ribosomal ITS sequences of 45 orchid species selected across the five orchid subfamilies (S3 Table), collected from NCBI GenBank (https://www.ncbi.nlm.nih.gov/genbank/) [32]. In addition, we included sequences of two accessions of Hypoxis curtissii Rose (Hypoxidaceae) and two of Narcissus bulbocodium L. (Amaryllidaceae) as outgroups due to the close relationship of these families with orchids within the monocots [33]. We aligned and trimmed the matrices of each marker in Geneious Prime® R2021.2.2 (Biomatters Ltd., Auckland, New Zealand) using MAFFT (Multiple Alignment using Fast Fourier Transform). The concatenated dataset (nrITS+matK+rbcL) was built with concatenated sequences in Geneious Prime® R2021.2.2 (Biomatters Ltd., Auckland, New Zealand). When sequences for a specific marker were not available, they were included as missing data. When a species analysed morphologically was not available in NCBI GenBank, it was substituted in the DNA concatenated matrix by a DNA sequence of a close relative.

We estimated the divergence times in BEAST v.1.8.2 using the CIPRES Science Gateway to obtain ultrametric trees for the ancestral state reconstructions [34]. The MCMC parameters were set to 20×106 generations and a sampling frequency of 1000, yielding 20,001 trees per run. The substitution model selected was GTR, estimated with 4 gamma categories, estimated lognormal relaxed clock (uncorrelated) and the Yule Process (Y) speciation tree model. A normal prior distribution of 105.06 (±2.5 standard deviations) Ma was assigned to the root node of the Orchidaceae and 94.75 (±3.5 standard deviations) Ma to the node containing all Orchidaceae members. These secondary calibrations were obtained from various dating studies of the Orchidaceae [33, 3537]. The convergence of independent runs and the MCMC parameters (ESS values >200) were inspected in Tracer v.1.6. Finally, a maximum clade credibility (MCC) tree was obtained with a 10% burnin using TreeAnnotator v.1.8.2. Resulting trees and the 95% highest posterior density (HPD) estimations were visualized in FigTree v1.4.3 [38] and manipulated with R programming language (R Core Team, 2018) under R Studio [39], using the packages APE, ggtree and phytools [4042].

Ancestral state reconstructions (ASRs) were assessed with ML and stochastic character mapping (SCM) using ultrametric trees. For the ML approach, we tested several models: equal rates (ER), symmetrical (SYM) and all rates different (ARD) with the re-rooting method of Yang et al. [43] and the function ACE implemented in R [44] packages APE, ggtree and phytools [4042]. The best-fitting models were selected by a likelihood ratio test. For the SCM analysis we performed 100 replicates on 100 randomly selected trees (10,000 mapped trees) derived from the BEAST analysis. These trees were randomly selected using the R function samples.trees (http://coleoguy.blogspot.de/2012/09/randomly-sampling-trees.html). The functions make.simmap and describe.simmap were applied to produce the time spent of transitions and the proportion in each state [41, 45]. The mean probabilities retrieved at each node were plotted with phytools on the MCC tree for each character analyzed.

We tested correlations among traits using the program BayesTraits V3.0.1 [4648] by performing 81 comparisons between each pair of the 9 characters of fruits assessed. We tested two models under Bayesian Inference: a dependent model which allows correlation among traits against the independence model with no correlation among traits (correlations set to zero). We used a set of 1000 trees (randomly selected with the R function samples.trees as described above) from the post burnin sample of the 20,001 ultrametric trees obtained from the time-calibrated BEAST analysis to record for phylogenetic uncertainty. The MCMC parameters of each model were set to 1,010,000 iterations, sample period of 1,000, burnin of 10,000, auto tune rate deviation and stepping stones 100 10,000 with reversible jump hyper-prior exponential. The BayesTraits outputs files were analysed in R with the BayesTraits wrapper (btw) by Randi H Griffin (http://rgriff23.github.io/projects/btw.html) and other functions from btrtools and BTprocessR (https://github.com/hferg). The MCMC stationarity of parameters (ESS values >200) and convergence of chains was checked with the R package coda [49] and the function mcmcPlots of BTprocessR. Using the log marginal likelihoods obtained from the outputs, we estimated a log Bayes factor (logBF) for the dependent model and the independent model with: logBF = 2*(SS dependent model (complex model)–SS independent model (simple model)). We interpreted the logBF as suggested in the BayesTraitsV3 manual (http://www.evolution.rdg.ac.uk/BayesTraitsV3.0.1/Files/BayesTraitsV3.Manual.pdf): < 2: weak evidence; > 2: positive evidence; 5–10: strong evidence and > 10: very strong evidence.

Molecular analysis

Tissue culture and pollination of E. pusilla.

Plants of E. pusilla were grown in vitro conditions in a sterile flask in climate cabinets from seed germination, seedling, maturation, and pollination to fruit production. The plants were cultured in a climate cabinets (Model SGC120, Weiss Technik, Loughborough, UK) at 22° C, 9.00 to 21.00 h light regime, and 50% relative humidity. For seed germination, we used multiplication media (Phytamax orchid multiplication medium, P6793, Sigma Aldrich). Whereas for the rest of the stages, we used Duchefa Orchimax medium (O027, Duchefa). Both the multiplication medium and the Orchimax medium were supplemented with 20 g/l banana powder (B1304.005, Duchefa) and 2 g/l charcoal (C1302, Duchefa). The pH was adjusted to 5.7–5.8, and afterwards, 4 g/l gelrite was added (G1101.0500, Duchefa). The medium was autoclaved for 25 minutes at 121°C with 1.5 Psi.

Fruits were produced by hand-pollination. Vigorous in vitro plantlets with fully open flowers were selected for in vitro pollination. The in vitro pollination was done in a laminar flow cabinet by removing the anther cap and then placing two pollinia on the stigma inside the column. After pollination, plantlets were cultured in a fresh medium to avoid fungal and bacterial contaminations and to ensure sufficient nutrition for the development of fruits. Specific fruit stages, 1 WAP and 3 WAP, were harvested for RNA-seq. Meanwhile, the rest were harvested at 12–14 WAP for seed germination. It took 20 weeks for the seeds to develop into mature flowering plants.

RNA isolation.

E. pusilla fruits were freshly harvested and dissected. Both 1 WAP and 3 WAP fruits of E. pusilla (S1 Fig) were manually dissected in triplicates for whole transcriptome sequencing and qPCR confirmation. In addition, fruit tissues from 0 WAP, 1 WAP, 3 WAP, 7 WAP, and 13 WAP, and floral bud tissues were pooled as a positive control for qPCR.

Fruit valve tissues were collected in 2.2-mL microcentrifuge Eppendorf tubes filled with a sterile 7-mm glass bead (Assistant, NL) and immediately immersed in liquid nitrogen. Frozen samples were stored at -80°C until all samples had been collected. The samples were subsequently ground by using a TissueLyser II (Qiagen, Venlo, NL).

RNA from these tissues was extracted using the PicoPureTM RNA Isolation Kit (Applied BiosystemsTM, Foster City, California, USA) following the manufacturer’s instructions for whole transcriptome sequencing. For qPCR, the samples were extracted using the RNeasy Plant Mini Kit (Qiagen, Venlo, NL) under RNase-free condition, following the manufacturer’s instructions. DNase I Amp Grade (Invitrogen 1U/μl) was applied to the extracted RNA to digest single- and double-stranded DNA. Quality and quantity of the RNA were measured using a Dropsense 96 SPEC-07 (Trinean NV/SA, Gentbrugge, Belgium). The yield of all samples used was higher than 50 ng/μl, whereas RNA quality was around 1.8 at 260/230 ratio and 1.8–2.2 at 260/280 ratio. RNA integrity numbers (RIN) were evaluated using an Agilent bioanalyzer (Agilent Technologies, Santa Clara, California, USA) with the Agilent RNA 6000 Pico kit (Agilent Technologies, Santa Clara, California, USA). Agarose gel electrophoresis was applied to identify RNA degradation and potential contamination.

Library preparation and sequencing.

The NEB Next® Ultra™ RNA Library Prep Kit (New England Biolabs, Ipswich, MA, UK) was used for library preparation. Library preparation started with mRNA enrichment to increase exonic regions by polyadenylic acid (poly(A)) enrichment. The mRNA was selected using poly(A) enrichment by mixing RNA with oligo (dT) primers. Subsequently, RNA was fragmented into an appropriate size by adding a fragmentation buffer. Then cDNA was synthesized using an mRNA template and random hexamers primers. A custom second-strand synthesis buffer (Illumina Inc., San Diego, California, USA), dNTPs, RNase H and DNA polymerase I were added to initiate second-strand synthesis. After a series of terminal repairs, ligation and sequencing adapter ligation, the double-stranded cDNA library was completed through size selection and PCR enrichment. Quality control of the library was tested by Qubit 2.0 for library concentration. Agilent 2100 tested the insert size and qPCR quantified the library effective concentration precisely. Library preparation and sequencing were done at Novogene in Cambridge, United Kingdom. Twelve samples per lane were sequenced on an Illumina Novaseq6000 (Illumina Inc., San Diego, California, USA) to generate at least 30 million reads per sample. Paired-end sequencing was applied for each sample to generate a read length of approximately 150 bp.

Bioinformatic analysis.

Raw sequencing reads of the six samples of E. pusilla fruit tissues were imported to perform quality tests, trimming, RNA-seq and PCA analysis using default parameters. Assembly and annotation were carried out in the GenDB genome annotation system. Assembly and annotation of the transcriptomes were done using de novo assemblies with Trinity [50], rnaSPAdes [51], scSPAdes [52], Bridger (k = 25), Bridger (k = 31) [53] and reference-based assemblies with GeMoMa [54], StringTie [55]/TransBorrow [56]. Individual assemblies were merged with the EviGene pipeline [57]. The trimmed reads were pseudo-mapped with salmon [58]. The evaluation of assembly completeness was done using BUSCO [59]. Annotation was performed by using Blastp homology searches against the UniProt/SwissProt and UniProt/trEMBL databases [60]. Subsequently, gene expression heatmaps were constructed. A count table with expression values was used to produce heatmaps to visualise differential gene expression in http://www.heatmapper.ca [61]. The heatmaps were generated from normalised TPM (Transcripts Per Kilobase Million) of reads in the transcriptomes, generated from a specific tissue at a particular time. Genes with too low expression (< 5 TPM) were removed from the dataset. For the complete list of candidate genes investigated related to carpel, flower, fruit, dehiscence tissue development, and triacylglycerol, cuticle wax and cutin biosynthesis, see S4S7 Tables.

cDNA synthesis.

RNA was transcribed into cDNA through reverse transcriptase (RT) by using the iScript cDNA Synthesis Kit (Bio-RadLaboratories, Hercules, CA, USA) and 1 μg of extracted RNA. The reaction mix (20 μL) consisted of 1x iScript reaction mix, iScript reverse transcriptase (1 μL), 1 μg RNA template and water for the remainder of the reaction volume. Total cDNA was synthesized under the following conditions: priming of the RT at 25°C for 5 minutes; reverse transcription at 46°C for 20 minutes; RT inactivation at 95°C for 1 minute. Quantity and quality were measured with a DropSense Dropsense 96 (Trinean NV/SA, Gentbrugge, Belgium).

Primer design.

A subset of 59 differentially expressed genes (p-value  ≤ 0.05) of E. pusilla was selected to verify expression patterns using qPCR. The qPCR primers were designed based on E. pusilla transcriptome database (Orchidstra) annotations, and their identity of sequences are listed in S4S7 Tables. We compared the transcriptome profile generated from RNA-seq analysis with those obtained from qPCR from fruit tissues of 1 WAP and 3 WAP. Nucleotide sequences of the reference genes Actin and Ubiquitin and selected differentially expressed genes of E. pusilla were downloaded from the transcriptome data. Specific primers were designed in OligoArchitect™ Online (Sigma-Aldrich®, Burlington, MA, USA) and Primer Quest™ (Integrated DNA Technologies, Inc., Coraville, Iowa, USA) (S8 Table). All primer pairs were blasted against the E. pusilla transcriptome database in Orchidstra [62] and further tested using PCR and gel electrophoresis. Primer sequences are listed in S8 Table and only exon-spanning primers with an amplification efficiency above 1.8 were used.

Quantitative PCR (qPCR).

Full cDNA from three biological replicates of floral buds, and 1 WAP and 3 WAP E. pusilla fruits were analysed in biological triplicates for each primer set. For each amplicon group, a positive control was extracted from floral buds and fruits (from stages 1 to 14 WAP). A reaction without cDNA template was assigned as a negative control. The Luna Universal qPCR Master Mix M3003L (NEB Inc., Frankfurt am Main, Germany) was used according to the manufacturer’s instructions, using 5 μM primer and 5 μl cDNA in a 1:50 dilution. The qPCR was run on a Lightcycler 480 II (Roche Diagnostics, Mannheim, Germany) in three biological replicates. Actin and Ubiquitin genes were used as reference genes and an interplate calibrator was used to adjust to interplate differences. The raw data was analyzed using the Pfaffl model [63] according to the MIQE guidelines [64].

Results

Ancestral state reconstruction

ASR is a method to evaluate the evolution of characters among species within a phylogenetic framework. The method aims to estimate character states back in time from observed states in extant species represented by the terminal nodes of a phylogenetic reconstruction. In this study, we were interested in the evolution of fruit traits in orchids and how they relate to each other, and carried out ASR on key characters present in the five orchid subfamilies (S3 Table). Firstly, an orchid phylogeny was calculated using nrITS, matK and rbcL nucleic acid sequences (Fig 2). The main topology was congruent with the latest insights in the Tree of Life of orchids [33]. Ancestral state reconstructions were applied to analyse six fruit characters that were straightforward to score (Fig 2) and the Bayesian analyses results are summarized in Fig 3.

thumbnail
Fig 2.

Ancestral state reconstruction of fruit ripening period (A), fruit orientation (B), fruit dehiscence type (C), number of slits in mature fruit (D), fusion of valves (E), and lignification of dehiscence zone (F) characters from stochastic mapping analysis based on joint sampling of nrITS, matK and rbcL (10,000 mapped trees). Posterior probabilities (pie charts) are mapped in a random stochastic character map. Note: * nodes have bootstrap values < 70%. Illustrations of fruits: (A-B) Character 1: Erycina pusilla (ripe in ≤4 months), Phalaenopsis equestris (ripe in >4 months); character 2: Habenaria eustachys (erect), Papilionanthe teres (pendant). (C-D) Character 3: Vanilla pompona (indehiscent), Arundina graminifolia (dehiscent); character 4: Lockhartia acuta (<3 slits), Guarianthe skinneri (≥3 slits). (E-F) Character 5: A. graminifolia (valves fused at the base and apex), Ornithocephalus valerioi (valves fused at the base only); character 6: E. pusilla (non-lignified dehiscence zones), Cynorkis fastigiata (lignified dehiscence zones).

https://doi.org/10.1371/journal.pone.0286846.g002

thumbnail
Fig 3. Heatmap of correlations between each character analyzed for the ancestral state analyses.

Criteria: Bayesfactors > 10 very strong correlation, 5–10 strong correlation, >2 positive correlation, and <2 weak correlation.

https://doi.org/10.1371/journal.pone.0286846.g003

Individual results of the ASR analyses of six fruit characters are presented in Fig 2A–2F. Bootstrap values lower than 70% are indicated in Fig 2A with an asterisk. Although the major dichotomies were well-supported, it should be noted that lower values indicate that not all branches are well-supported, and the resulting low phylogenetic resolution might affect the interpretation of the evolution of a particular character state.

Throughout the phylogeny, a fruit ripening period shorter than four months was lost at least three times (Fig 2A), a pendant fruit orientation evolved at least twice from an erect orientation (Fig 2B), indehiscent fruits evolved from dehiscent fruits twice (Fig 2C), and the character less than three slits in mature fruits evolved at least three times from more than three slits (Fig 2D). Species sampling was too small to say much on the evolution of the character fused valves at the base only (Fig 2E). Remarkably, the character lignified DZ evolved multiple times from a non-lignified DZ (Fig 2F).

From the ASR analyses, out of 15 possible correlations, we discovered two correlations with strong support (LogBayes Factor 5 to 10), four with some support (LogBayes Factor > 2) and nine with weak support (LogBayes Factor < 2) (Fig 3). The traits ripening period and fruit orientation, on the one hand, and dehiscence type and number of slits in the mature fruit on the other hand, were found to be strongly correlated (LogBayes Factor > 5) (Fig 3).

To explore these correlations in more detail, we generated a transition map of ASRs of selected morphological characters from stochastic mapping analyses, which is depicted in Fig 4. There is evidence for the hypothesis that a short fruit ripening period (≤ 4 months) coevolved with a pendant fruit orientation (Fig 4A). The relation between the number of slits and fruit dehiscence type is ambiguous (Fig 4B). We found evidence of coevolution between fruits with valves fused at the base and apex with an erect fruit orientation (Fig 4C). Erect fruit orientation coevolved with an absence of lignification of the DZs (Fig 4D), and absence of lignification also coevolved with fruit dehiscence (Fig 4E). An orchid fruit with valves fused at the base coevolved with lignified DZs with a transition via fruits with valves fused at the base coevolving with non-lignified DZs (Fig 4F).

thumbnail
Fig 4.

Ancestral state reconstructions of (A) character 2 (fruit orientation) vs 1 (ripening period), (B) character 4 (number of slits in mature fruit) vs 3 (dehiscence type, (C) character 5 (fusion of valves) vs character 2 (fruit orientation), (D) character 6 (lignified dehiscence zone) vs character 2 (fruit orientation), (E) character 4 (number of slits in mature fruit) vs character 3 (dehiscence type), and (F) character 5 (fusion of valves) vs character 6 (lignified dehiscence zone) from stochastic mapping analyses based on a joint sampling of nrITS, matK and rbcL (10000 map trees). The numbers represent the estimated number of evolutionary changes and the time spent in each state, arrows represent the direction of the transition between the states, and character combinations indicated with a square are interpreted as having co-evolved.

https://doi.org/10.1371/journal.pone.0286846.g004

Transcriptome sequencing of E. pusilla fruits

To obtain a comprehensive insight into transcriptional changes between 1 WAP and 3 WAP fruit stages, we carried out a transcriptome analysis. We found 83,137 gene loci, supported by RNA-seq, containing 35,245 (42%) coding loci with regular-sized proteins, and 47,892 putative loci with small proteins (smORF < 120 aa). A total of 218,753 alternate transcripts were found at 35,676 (43%) loci. A total of 55,054 (66%) of 83,137 coding genes could be translated into complete proteins, and 28,083 into partial proteins. The assembled unigenes were annotated by using Blastp homology searches against the UniProt/SwissProt and UniProt/trEMBL databases, resulting in 16,987 (6.38%) reliable annotations, of which 54,290 (20.39%) were shorter than the reference proteins, 4,182 (1.57%) were longer than the reference proteins, 97,772 (36.73%) had only partial similarity to a reference, 17,379 (6.53%) matched a putative transposon, and for 75,604 (28.40%) no homology was found.

Gene expression was calculated as transcripts per million (TPM). With a cut-off TPM ≥ 5, we calculated the number of transcripts identified in 1 WAP and 3 WAP tissues of E. pusilla fruits. With this criterion, we found 40,677 transcripts with TPM counts ≥ 5. The number of transcripts was highest in the earlier fruit stage (1 WAP) compared to the number of transcripts in the later stage (3 WAP) with 21,864 and 18,813 transcripts, respectively (Fig 5).

thumbnail
Fig 5. Venn diagrams of identified genes (cutoff TPM ≥ 5) in 1 WAP and 3 WAP fruits of Erycina pusilla.

https://doi.org/10.1371/journal.pone.0286846.g005

Identification of differentially expressed genes (DEGs) by RNA-seq

Putative differentially expressed genes (DEGs) were identified using the following criteria: (1) p-value  ≤ 0.05 and (2) fold change (FC) ≥ 2 for upregulated and ≤ –2 for down-regulated DEGs. With these criteria, a total of 2,568 upregulated and 3,217 downregulated reliable transcripts were identified in 1 WAP and 3 WAP of E. pusilla fruits (Fig 6).

thumbnail
Fig 6. Changes in gene expression profile of 1 WAP and 3 WAP fruits of Erycina pusilla.

Upregulated genes are shown in red, while the number of downregulated genes is shown in blue.

https://doi.org/10.1371/journal.pone.0286846.g006

Expression of putative dehiscence regulatory genes in the tissues investigated ranged from entirely absent (e.g., EpMADS24/Bsister in 1 WAP fruits) to approximately 989.82–1176.90 TPM (e.g. EpMALD3 in 1 WAP fruits). We selected genes with a cut-off TPM ≥ 5. By generating heatmaps, we studied the expression profile of a wide range of genes, including MIKC MADS-box transcription factors (S2 Fig), fruit dehiscence development genes (S3 Fig), carpel, gynoecium, ovule, and fruit developmental genes (S4 Fig), and triacylglycerols, cuticle wax and cutin biosynthesis genes (S5 Fig). Finally, we carried out a differential expression analysis of each gene expressed in each developmental stage tested and continued with an analysis of variance (ANOVA) (IBM SPSS statistics version 26) (S4S7 Tables). The main results are summarized below.

Expression of MIKC MADS-box genes in E. pusilla fruits.

MIKC MADS-box transcription factors (TFs) have pivotal roles in determining floral organ and fruit identity. In the E. pusilla transcriptome, many MADS-box TFs were found to be expressed in 1 WAP and 3 WAP fruits. Some were expressed evenly throughout fruit development, such as EpSEP2/3 and EpAGL6-1 (S4 Table; S2 Fig).

In contrast, EpSEP1–4 showed substantial differences in expression dynamics. EpSEP4 was hardly expressed whereas EpSEP2 were equally expressed in all tissues investigated. EpAG1, EpAG1, AG2, EpAG3, EpAP3-1/2, and EpSEP1 were significantly expressed in 1 WAP fruits. EpSOC1, a floral integrator gene [65, 66], and EpBsister (EpMADS24/EpBS), a MADS-box gene reported to be associated with orchid ovule integument development [66, 67], were significantly expressed in 3 WAP fruits (S4 Table; S2 Fig).

qPCR was used to validate the expression pattern of 18 MADS-box genes using qPCR. We discovered discrepancies between the TPM from RNA-seq and the expression pattern from qPCR results in some MADS-box genes. Only three MADS-box genes showed similar trends between RNA-seq and qPCR with a strong positive correlation (r ≥ 0.5 and p-value0.05; S10 Table.

Expression of fruit development and dehiscence genes in E. pusilla fruits.

We also found transcripts of many orthologs of genes related to DZ, valve and replum formation in A. thaliana in 1 WAP and 3 WAP E. pusilla fruits. These genes are related to the degradation of the middle lamella during fruit dehiscence in A. thaliana [10]. These effectors include fiber biosynthesis genes, lipid biosynthesis and their interaction with plant hormones such as auxin, gibberellic acid, cytokinin, etc. For example, a cellulose gene encoding for cellulose cell wall loosening (CEL5) [68] and pectinase gene (PG1) [69, 70]. PG1 expression in the DZ is regulated by IND and HEC3 transcription factors [71]. Other genes associated with the development of the DZ in A. thaliana are the cellulase genes KORRIGAN 1/KOR1 [72], CEL6, and the hemicellulase gene MAN7 [73]. In addition, several genes are involved in the auxin pathway of A. thaliana carpel, gynoecium, and ovule development such as ARF3/ETTIN [74], and ARF6 [75, 76]; TPL [7779]; CLHC1 [80]; and PIN1B [81].

The following orthologs did not show differential expression: EpKNAT2, EpKOR1, MAN7, EpCEL5, EpYAB2, EpARF6, EpTPL, EpPIN3a, EpCLHC1, EpAP2-10, and EpAP2-11 (S5 Table; S3 Fig).

EpRPL, EpHEC1 (the homolog of AtHEC1, a gene that controls carpel fusion and gynoecium development in A. thaliana [82]), EpPG1, EpARF15, and EpPIN1B were higher expressed in 1 WAP fruits as compared to 3 WAP fruits. The opposite was found for EpHEC1, EpIAA17, EpARF3 which were higher expressed in 3 WAP fruits as compared to 1 WAP fruits (S5 Table; S3 Fig).

The correlation between RNA-seq and RT-qPCR results demonstrated that only three out of twenty fruit development and dehiscence genes have a strong positive correlation r ≥ 0.5 and p-value0.05; S10 Table.

Expression of carpel, gynoecium, and ovule developmental genes.

We also found transcripts of many orthologs of genes related to carpel, gynoecium and ovule development in A. thaliana in 1 WAP and 3 WAP E. pusilla fruits. For example the ARR1/RR21, ARR12/RR23 and CKX3 genes are related to the cytokinin pathway. They are expressed during gynoecium development in A. thaliana, particularly in meristematic tissues [83, 84]. RGA encodes DELLA proteins that negatively regulate gibberellic acid responses during stamen and petal development in A. thaliana [85].

The following genes did not show differential expression: EpCRC/DL1, EpSLR1, EpMSG2 [86], EpCKX3, EpARR1/RR21, and EpBEE1 [76]. In addition, EpCIN2, EpCIN3, EpPCF2 and EpPCF3, orthologs of the TCP gene family, involved in multiple aspects of plant growth [8789], showed an equal expression across different fruit developmental stages.

Several transcription regulators (TRs) have essential functions in carpel, gynoecium and ovule development of A. thaliana and P. equestris, e.g. LUG, SEU and LUH [9095], CYP40/SQN [76], PCF1 [96], and PCF8 [96]. The following orthologs genes were higher expressed in 1 WAP compared to 3 WAP fruits: EpMYB305, EpLUG, EpSQN, EpPCF1, and EpULT1. In contrast, EpPCF8 and EpLUH were higher expressed in 3 WAP compared to 1 WAP fruits (S6 Table; S4 Fig).

We discovered differences in the TPM of RNA-seq and qPCR results. Only two carpel and ovule development genes showed similar trends and a strong positive correlation between RNA-seq and qPCR analyses out of the six tested genes r ≥ 0.5 and p-value0.05; S10 Table.

Expression of triacylglycerol, cuticle wax and cutin biosynthesis genes.

Lipids occur in plants in the extracellular domain as cuticles and waxes, as storages in the form of triacylglycerol, and as membranes [97]. Genes related to TAG biosynthesis include the acetyl-CoA synthesis E. pusilla orthologs of ACP1 [98100], BCCP1 [98], fatty acid synthesis genes KCS11 [98, 101], MOD1 [98, 102, 103] and KASI2 [98, 102, 104], fatty acid modified genes 2FAD7 [98, 102, 105] and SLD1 [98, 102], and TAG assembly genes LPAT5 and GPDHp [102]. Genes associated with wax biosynthesis are WSD1 [106], alkaline formation genes CER1, CER3 and Cyt b5 [107], the cutin polyester synthesis gene GPAT6 [108], and wax transporter genes ABCG11, ABCG12, ABCG13 and BDG1 [109112]. In cutin biosynthesis of A. thaliana, several genes are associated with acyl chains oxidase, acyltransferase, intercellular midchain hydroxylase, cutin polyester transport, and incorporation of hydroxyacyl monomers into polymers [98, 108, 110, 112115]. We analyzed transcripts related to triacylglycerol, cuticle wax and cutin biosynthesis in the fruits of E. pusilla and found putative orthologs of 66 A. thaliana fatty acid biosynthesis genes (S7 Table; S5 Fig).

In addition to the list of TAG, wax, and cutin biosynthesis genes, several genes associated with wax biosynthesis in A. thaliana were found, including AS1 [18, 116], CAC3 [102], ESR2 [109], PDG6 [117], MIXTA [118, 119], nsLTPs [120, 121], and MALD3 [109].

The following genes did not show differential expression: EpLEC2, of which the ortholog in A. thaliana is a TF regulating seed maturation [122, 123], EpACP1, EpACLA2, EpACP3, EpACP4, EpKAS12, EpFAD7, EpFAD12, EpSLD1, EpGPDH, EpCER10, EpKCR1, EpCER3, EpCYP77A4, EpGATP6, EpGATP9, EpABCG11, EpABCG12, EpABCG3, EpE1-BETA-2, EpMIXTA, EpEREBP1, EpLPEAT1, EpMALD3, EpRAP2-4, EpRAP2-6, EpRAP2-12, EpSF3B2 and EpDCR.

The following genes were found to be differentially expressed among 1 WAP and 3 WAP fruits: EpFUS3, EpBCCP1, EpACLA3, EpEMB3147, EPKCS11, EpKCS2, EpMOD1, EpFAR3, and EpLACS1, of which the ortholog in A. thaliana is involved in transformation of fatty acids [124], EpPAS2 of which the ortholog in A. thaliana encodes for fatty acyl-CoA reductase [125] were higher expressed in 1 WAP fruits whereas EpKCS20, EpGL1, EpLPAT5, EpLACS4, EpCER6, EpCER26-like, EpCYP86A8, EpMAH1 were higher expressed in 3 WAP fruits.

Only four of 16 triacylglycerol, cuticle wax and cutin biosynthesis genes biosynthesis genes tested exhibited a similar pattern, with a strong positive correlation between RNA-seq and qPCR (r ≥ 0.5 and p-value0.05; S10 Table.

Validation of subset of differentially expressed genes by quantitative real-time PCR (qPCR)

Several genes were identified as being potentially involved in E. pusilla fruit development by DEG analysis following RNA-seq. To verify patterns observed we applied qPCR.

A total of 59 DEGs were selected for validation. Of these 59 genes, 20 were MADS-box genes related to fruit development (EpFUL1, EpFUL2, EpFUL3, EpPI, EpAG1, EpAG2, EpAG3, EpAGL6-1, EpAGL6-2, EpAGL6-3, EpSEP1, EpSEP2, EpSEP3, EpSEP4, EpMADS18/SVP, EpFVF, EpMADS24/Bsister, EpAP2-3, and EpAP2-10), five were involved in carpel and gynoecium development (EpCUC1, EpCUC2, EpCUC3, EpDL1, and EpSLR1), one was involved in ovule development (EpPCF2), 13 were related to fruit dehiscence (EpIND/SPT, EpHEC3, EpPG1, Ep KNAT1, EpKNAT2, EpKOR1, EpCEL5, EpMAN7, EpARF6, EpBLH9, EpIAA17, EpERF10, and EpTPL), ten regulated triacylglycerol biosynthesis (EpFUS3, EpACL1.3A, EpACP4, EpKCS2, EpKCS6, EpMOD1, EpPDH-E1 BETA, EpFAD7, EpSLD1, and EpGL1), seven were associated with wax biosynthesis (EpPAS2, EpCER3, EpMAH1, EpAS1, EpESR/EREBP1, EpMIXTA, and EpPDG6), and three were linked to cutin biosynthesis (EpABCG11, EpABCG12, and EpBDG1) (S4S7 Tables).

We analyzed the qPCR data with one-way ANOVA to identify DEGs. Among 59 genes validated with qPCR, we found 21 DEGs (S8 and S9 Tables; Fig 7). Among those genes, we found four MADS-box genes (EpAG2, EpAGL6-3, EpSEP3, and EpMADS24/Bsister), three fruit development and dehiscence genes (EpTPL, EpRPL, and EpKOR1), two carpel and ovule development genes (EpDL1, and EpSLR1) and four lipid biosynthesis genes (EpKCS6, EpGL1, EpPHD-E1, and EpMAH1) that had similar trends between RNA-seq and qPCR analyses (r ≥ 0.5 and p-value0.05; S10 Table).

thumbnail
Fig 7.

Relative expression of MADS-box (A-D), fruit development and ovule, and carpel development (E-I), and lipid biosynthesis (J-M) genes from qPCR analysis in one week after pollination (1 WAP) and three weeks after pollination (3 WAP) fruit valves of E. pusilla. The x-axis shows the two samples of 1 WAP and 3 WAP. The y-axis represents the relative expression (in log2) of genes as the mean of three biological replicates’ expression and normalized relative to floral bud tissues. The asterisks denote statistically significant differences in the relative expression of the various developmental stages (*p≤  0.05).

https://doi.org/10.1371/journal.pone.0286846.g007

Discussion

Ancestral character state analysis of orchid fruits

The species studied represent a great diversity in fruit characteristics, growth habits, and phylogenetic position within the orchid family. We were able to sample four species from both genera of Apostasioideae (one of Apostasia and three species of Neuwiedia), two species from Vanilla as representative of the 15 genera in Vanilloideae, four species from Paphiopedilum as representative of the five genera in the Cypripedioideae, six species from six out of 650 Orchidoideae genera (one species of Anoectochilus, Cynorkis, Ophrys, Orchis, Sarcoglottis, and Spiranthes), and 29 species from 21 genera (one species of Angraecum, Barkeria, Bletilla, Brassavola, Calopogon, Catasetum, Cephalanthera, Coelogyne, Dendrobium, Epipactis, Eria, Erycina, Limodorum, Liparis, Oeceoclades, Phymatidium, Prosthechea, and Stelis; two species of Calanthe; four species of Bulbophyllum; and five species of Phalaenopsis) representing the more than 575 Epidendroideae genera (S1 Table). Despite the fact that the study covered representatives of all subfamilies, some fruit characters are still underrepresented in our sampling, such as the characters dehiscence type and fusion of fruit valves. Indehiscence was only represented by Vanilla pompona, Neuwiedia zollingeri and Neuwiedia zollingeri. Likewise, for the fusion of fruit valves, we only found basally fused valves in three species: Vanilla planifolia, Erycina pusilla, and Phymatidium falcifolium. Increasing the sample size to include more species for these two fruit characters could provide us with more unambiguous evidence and information about evolutionary changes in these characters.

We found that fruit ripening period (≤ 4 or > 4 months), fruit orientation (erect or pendant), reinforcement of DZs (lignified or non-lignified) and fruit opening (dehiscent or indehiscent) are phylogenetically informative within the orchid family. But numerous reversals also indicate some plasticity of these characters during orchid evolution. Plasticity of fruit characters is also reported for Brassicaceae [126129]. Most Brassicaceae have dehiscent fruits, like orchids, but some genera have indehiscent fruits such as Cardaria Desv [130]. Occurrence of plastic fruit characters might be explained by adaptation to different ecological niches (e.g. temperature, season) and/or dispersers [131]. For example, in Aethionema indehiscent fruits are an adaptation to arid areas where rainfall is irregular [126]. Under these circumstances, delaying seed dehiscence maintains seed germination capacity [126]. Whether this is also the case for indehiscent orchid fruits needs further investigation by comparing ecological conditions and seed dispersal agents of dehiscent orchid species like E. pusilla with indehiscent orchid species like Vanilla pompona. In general, more species and ecological characters related to fruit development should be included in future studies.

Our study showed that an erect fruit orientation is the most ancestral character in orchids. In a previous analysis of the inflorescence orientation in Phalaenopsis, a pendant inflorescence also evolved from an erect one [132]. Previously it was reported that in a subalpine plant community, erect fruits manage to disperse their seeds over much greater distances and have a more even distribution of dispersal direction than pendant ones [133]. Whether this also holds for erect orchid inflorescences and fruits is still unknown.

According to our analyses, an erect orchid fruit co-evolved with a more extended ripening period and non-lignified DZs. Longer fruit ripening periods are mostly found in tropical orchids that generally grow in humid areas with less distinct seasons, allowing for an extension of fruit and seed developmental time. Fruits with a lignified DZ were found in temperate orchids or tropical orchids with a short growing season, in which fruits and seeds must ripen relatively quickly. In non-lignified DZs of orchids, upon fruit maturation, lignification only occurs in a single layer of the endocarp and vascular bundles, particularly in sclerenchyma fiber caps (see S1F and S1H Fig). No sclerenchymatous cells were found in other pericarp layers. The DZ of Phalaenopsis equestris fruits consists of two layers of small cells, similar to E. pusilla (S1G and S1H Fig) and Oncidium flexuosum [31, 134, 135]. Along the DZs, instead of lignification a lipid layer is formed. Future study of lipid content by liquid chromatography-mass spectrometry (LC-MS) may shed more light on the quantity and types of lipids in these DZ tissues.

Are there genes similarly expressed during dehiscence zone development in A. thaliana and E. pusilla fruits?

The A. thaliana fruit DZ consists of both a lignified and unlignified separation layer [10]. AtFUL, which belongs to the AP1/FUL clade, and AtSHP1/2, which belongs to the AG clade, are both involved in the formation of lignified DZs in A. thaliana. SHP1 and SHP2 are the primary genetic regulators of DZ development in A. thaliana [11]. The conserved function of SHP in fruit lignin deposition has been reported for Prunus persica and Nicotiana benthamiana [136138]. Several MADS-box genes with sequences and expression patterns similar to SHP have been identified in orchids. In line with protein-protein interactions found in A. thaliana, [31] reported distinct expressions of the AG homologs EpMADS21 and EpMADS22 and interaction with FUL homologs EpMADS11 and EpMADS12. Yet, it is still unclear whether AtSHP and EpAG have the same function in the specification of DZ formation in fruits. Assuming EpMADS21 and EpMADS22 are AtSHP homologs, the difference in expression pattern of these genes compared with AtSHP1/AtSHP2 expression may be due to gene duplication and subfunctionalization of AG in the E. pusilla genome. Functional changes and genetic differentiation may have allowed morphological changes in the dehiscence zone of E. pusilla compared to A. thaliana. Further characterization and functional analyses of SHP lineages from various plant species is needed to further investigate this hypothesis.

Previously it was reported that EpMADS11/FUL2 interacts with EpMADS21/AG1-EpMADS22/AG2 and EpSEP2/SEP4 to regulate fruit development in E. pusilla [31]. Our RNA-seq and qPCR results show that all FUL-clades were lowly expressed in both 1 WAP and 3 WAP fruits of E. pusilla. In contrast, EpMADS22/AG2 and EpSEP3 were found to be equally high expressed in 1 WAP and 3 WAP fruits (S9 Table). These results indicate that the interaction between EpAG2 -EpSEP3 in the absence of EpFUL-copies might partly regulate valve and DZ formation in orchid fruits. Yeast two-hybrid experiments using domain proteins of AG, FUL, and SEP need to be conducted in order to understand protein-protein interactions. Functional characterization of MADS-box motifs also needs to be carried out to confirm whether these genes play a role in the formation of DZs in the E. pusilla fruit.

EpMADS24/EpBs was lower expressed in 1 WAP as compared to 3 WAP fruits (Fig 7). The involvement of this gene in orchid fruit valves or DZ development has never been reported before, indicating possible novel function of this gene in regulating development of those tissues.

The A. thaliana DZ is located between the valves and the replum of the fruits. FUL limits dehiscence gene expression to the valve margin. FUL functions in the valve, while RPL functions in the replum but is not required for replum development [12, 13, 17, 139]. RPL was significantly higher expressed in 1 WAP than 3 WAP E. pusilla fruits, implying that RPL may be involved in early valve and possibly also DZ formation.

Specification of the development of the lignified and non-lignified separation layers of the valve margin requires expression of IND [14], whereas ALC and its paralog, SPT are involved in the formation of the separation layer in A. thaliana [15]. According to the qPCR results, EpIND/HEC3 and EpALC/SPT were lowly expressed and did not show significant expression patterns in either 1 or 3 WAP fruits (S9 Table). In orchids, a non-lignified DZ co-evolved with a dehiscent fruit. The absence of expression of IND/HEC3 and ALC/SPT in the fruit valve of E. pusilla might be correlated with the absence of lignified DZ tissue. Low expression of these genes is also found in Lepidium appelianum, a Brassicaceae species with indehiscent fruits [136]. Interestingly, a change in IND/ALC expression in Lepidium caused the loss of DZ formation and fusion of the endocarp layer next to the lignified vascular bundle, leading to indehiscent fruits [122]. Decrease in expression of IND/HEC3 and ALC/SPT in E. pusilla may correlated with non-lignified DZs but not with fruit indehiscence.

Processes downstream of fruit dehiscence formation involve cell wall rupture, particularly the degradation of the middle lamella [140, 141]. The cellulose gene KOR1 plays a role in cell wall degradation in A. thaliana. In E. pusilla, KOR1 was evenly expressed in 1 WAP and 3 WAP fruits. This gene is involved in cell wall degradation and needs to be expressed during maturation of dehiscent fruits. Our results indicate that expression of this gene may only become upregulated at orchid fruit maturation stage (> 11 WAP) (Figs 7 and 8, S9 Table).

thumbnail
Fig 8. Summary of expression patterns assessed by RNA-seq and qPCR of genes involved in Erycina pusilla fruit development.

Expression of EpRPL gene is higher (indicated in the purple triangle) in 1 WAP fruits but lower in 3 WAP fruits. Expression of EpBs, EpKCS6, EpGL1, EpPDH-E1, and EpMAH1 genes is higher (indicated in the yellow triangle) in 3 WAP fruits (right side) but lower in the 1 WAP fruits. Expression of EpAG2, EpAGL6-2, EpSEP3, EpKOR1, EpSLR1, EpCRC/DL1, and EpTPL genes is high (indicated by the white box) in the 1 WAP and 3 WAP fruits.

https://doi.org/10.1371/journal.pone.0286846.g008

Validating the expression pattern of genes found to be significantly expressed in E. pusilla fruits requires functional analysis. Inactivation of genes in conjunction with protein-protein interactions studies can assist in identifying genes that regulate DZ formation in the E. pusilla fruit. In addition, whole-transcriptional analysis of orchids with lignified DZs is necessary to reveal differences between the regulatory networks of lignified and non-lignified DZs. Co-expression and interaction analysis can also be performed using an in silico approach to complete information regarding the network of genes interacting during formation of lignified versus non-lignified DZs in orchid fruits.

Carpel and gynostemium genes are expressed during dehiscence zone development of E. pusilla fruits

Two carpel and gynostemium genes were equally expressed in 1 and 3 WAP E. pusilla fruits. The first one was EpDL1, an ortholog of the CRC gene that belongs to the YAB transcription factor encoding gene family, with both activator and repressor functions in A. thaliana. It acts as an activator of gene transcription required for carpel fusion, septum formation, and nectary development [142]. In Oryza sativa, expression of DL, a CRC ortholog, was constrained to developing floral meristem, carpels, and leaf midrib [143]. In orchids, DL homologs seem to have acquired novel regulatory functions following their duplication. EpDL1, was upregulated in 1 and 3 WAP fruits, indicating involvement in the formation of orchid fruit valves and possibly also DZ formation (Figs 7 and 8). In P. equestris, PeDL1 and PeDL2 are involved in ovule and gynostemium development [144]. PeDL2, which interacts with B-class genes (PeMADS 2–5), was also found to be involved in perianth development [145].

The second carpel and gynostemium gene found to be expressed in 1 and 3 WAP E. pusilla fruits was DELLA protein SLEDER RICE 1 (SLR1), an ortholog of AtGAI/AtRGA2. OsSLR1 that is negatively regulating gibberellic acid signaling [146]. In orchids, the SLR1 gene was previously found to be expressed during flower development of Arundina graminiflolia [147] and in seeds of Dendrobium catenatum [148]. SLR1 gene expression in both 1 WAP and 3 WAP fruits of E. pusilla suggest a possible additional function of this gene in regulating orchid fruit development.

Triacylglycerol, cuticle wax and cutin biosynthesis genes are expressed during dehiscence zone development in E. pusilla fruits

Many triacylglycerol, cutin and wax biosynthesis genes were upregulated in our qPCR data. However, most of these genes were expressed evenly in both 1 WAP and 3 WAP tissue of E. pusilla fruits. An exception were EpKCS6, EpGL1, EpPDH-E1, and EpMAH. All of these genes were higher expressed in 3 WAP compared to 1 WAP fruits (Figs 7 and 8, S9 Table). PDH-E1 (E1-BETA-2 Pyruvate dehydrogenase E1) is a gene related to fatty acid synthesis. Ke [149] reported this gene to be involved in silique development and fatty acids, needed in early fruit development of A. thaliana. We presume that the activity of fatty acid synthase genes in E. pusilla fruit valves is related to the production of lipid content to support early fruit valve growth. The AtKCS6 (3-ketoacyl-CoA synthase 6) gene is known to play an important role in the production of cuticular wax [150]. Very long fatty acids (VLCFAs) are precursors for the synthesis of waxes in pollen husks, fruits, stems and leaves [151]. The MAH1 gene is involved in the formation of wax alcohols and ketones in the wax biosynthetic pathway in A. thaliana [152]. Its homolog, EpMAH1, was significantly upregulated in 3 WAP fruits (Figs 7 and 8). Whether or not this gene is involved in the formation of the lipid layer present in the DZ tissue of E. pusilla fruits requires further research. Future research may employ a combination of virus-induced gene silencing (VIGS) and in situ hybridization to determine function and localization of EpKCS6, EpPDH-E1, EpGL1, and EpMAH1 expression in DZ tissue of 3 WAP fruits.

According to the ASR that we carried out, a lignified DZ in orchid fruits evolved from a non-lignified one. It might be that the metabolic pathway to lignin in plants is derived from the one to lipids. Indications for this were found by [153] who detected that the lipid-phenolic matrix of the moss species Physcomitrella patens reveals extant representatives of a common ancestor of the suberin, cutin and lignin polymers that differentiate vegetative tissues in more recent plant lineages. We found upregulated expression of EpKCS6, EpPDH-E1, and EpMAH1 in the 3 WAP E. pusilla fruits, but low expression of genes associated with the formation of lignified DZs such as IND/HEC3 and ALC/SPT. Further investigations into the amount and type of lignin and lipids in DZs of different orchid species, combined with additional gene expression analysis, will shed more light on the evolutionary transition from non-lignified to lignified DZs in orchid fruits.

Conclusions

We conclude that erect dehiscent fruits with non-lignified DZs and a short ripening period are ancestral characters in orchids. Lignified DZs in orchid fruits evolved multiple times from non-lignified DZs. MADS-box and other genes involved in carpel and gynoecium development, and lipid, wax and cutin biosynthesis in A. thaliana show different expression patterns in E. pusilla fruits or are absent from the genome. Interestingly, the homologs of MADS24/Bsister, lipid biosynthesis genes KCS6, GL1, PHD-E1, and MAH1 were highly expressed in 3 WAP E. pusilla fruits, indicating a possible novel function of these genes in the regulation of E. pusilla fruit development and dehiscence. Our findings indicate that the current A. thaliana fruit dehiscence model should be adapted for orchids.

Supporting information

S1 Fig.

Cross-sections of developing E. pusilla (A-F) and P. equestris fruits (G-H), embedded in LR White and stained with toluidine blue. (A) Fruit 7 days after pollination (DAP). (B) Magnified part of the sterile valve at 2 weeks after pollination (WAP). Arrows indicate the dehiscence zone. Black boxes the exo-, meso- and endocarp layer. (C) Fruit of 2 WAP. (D) Fruit of 4 WAP. (E) Fruit of 16 WAP. (F) Magnified part of the sterile valve at 16 WAP. (G) Fruit of 120 DAP. (G) Magnified part of the sterile valve at 120 DAP; cell with thick blue stained wall part of vascular bundle (VB) indicates sclerenchyma fiber cap. Black arrows indicate the dehiscence zone. F, fertile valve; S, sterile valve; PT, pollen tube. Scale bar (C, K) = 0.2 mm, (D) = 0.1 mm, (E–I) = 1 mm, (J, G, H) = 0.5 mm. [Figs A-F from [31]; Figs G-H captured by Dewi Pramanik].

https://doi.org/10.1371/journal.pone.0286846.s001

(DOCX)

S2 Fig. RNA-seq heatmap (TPM) of MICK-MADS-box transcription factors transcriptionally active in one week after pollination (1 WAP) and three weeks after pollination (3 WAP) fruits of E. pusilla.

https://doi.org/10.1371/journal.pone.0286846.s002

(DOCX)

S3 Fig. RNA-seq heatmap (TPM) of fruit dehiscence developmental genes transcriptionally active in one week after pollination (1 WAP) and three weeks after pollination (3 WAP) fruits of E. pusilla.

https://doi.org/10.1371/journal.pone.0286846.s003

(DOCX)

S4 Fig. RNA-seq heatmap (TPM) of carpel, gynoecium, and ovule developmental genes transcriptionally active in one week after pollination (1 WAP) and three weeks after pollination (3 WAP) fruits of E. pusilla.

https://doi.org/10.1371/journal.pone.0286846.s004

(DOCX)

S5 Fig. RNA-seq heatmap (TPM) of triacylglycerols, cuticle wax, and cutin biosynthesis genes transcriptionally active in one week after pollination (1 WAP) and three weeks after pollination (3 WAP) fruits of E. pusilla.

https://doi.org/10.1371/journal.pone.0286846.s005

(DOCX)

S2 Table. Characters and character states defined for ancestral state reconstructions.

https://doi.org/10.1371/journal.pone.0286846.s007

(XLSX)

S3 Table. Accession number of rbcL, matK, nrITS sequences of orchid species used for ancestral state reconstruction analyses.

https://doi.org/10.1371/journal.pone.0286846.s008

(XLSX)

S4 Table. Transcript counts in TPM of selected genes MADS-box genes.

https://doi.org/10.1371/journal.pone.0286846.s009

(XLSX)

S5 Table. Transcript counts in TPM of selected genes related to fruit development.

https://doi.org/10.1371/journal.pone.0286846.s010

(XLSX)

S6 Table. Transcript counts in TPM of selected genes related to carpel and gynoecium development.

https://doi.org/10.1371/journal.pone.0286846.s011

(XLSX)

S7 Table. Transcript counts in TPM of selected genes related with triacylglycerol/TAG biosynthesis.

https://doi.org/10.1371/journal.pone.0286846.s012

(XLSX)

S9 Table. Summary of ANOVA test of qPCR results.

https://doi.org/10.1371/journal.pone.0286846.s014

(XLSX)

S10 Table. Pearson bivariate correlation analysis of RNA-seq (log10) versus qPCR (log10) results.

https://doi.org/10.1371/journal.pone.0286846.s015

(XLSX)

Acknowledgments

Andrea Weisert from the Botanical Institute of Justus Liebig University is thanked for her assistance with the qPCRs.

References

  1. 1. Crane PR, Friis EM, Pedersen KR. The origin and early diversification of angiosperms. Nature. 1995;374: 27–33.
  2. 2. Magallón S, Sánchez-Reyes LL, Gómez-Acevedo SL. Thirty clues to the exceptional diversification of flowering plants. Ann Bot. 2019;123: 491–503. pmid:30376040
  3. 3. Borsch T, Berendsohn W, Dalcin E, Delmas M, Demissew S, Elliott A, et al. World Flora Online: Placing taxonomists at the heart of a definitive and comprehensive global resource on the world’s plants. Taxon. 2020;69: 1311–1341.
  4. 4. Soltis PS, Soltis DE. Ancient WGD events as drivers of key innovations in angiosperms. Curr Opin Plant Biol. 2016;30: 159–165. pmid:27064530
  5. 5. Doyle JA. Phylogenetic analyses and morphological innovations in land plants. In: Roberts JA, Evan D, McManus MT, Rose JKC, editors. Annual Plant Reviews. Chichester, UK: John Wiley & Sons, Ltd; 2018. pp. 1–50. https://doi.org/10.1002/9781119312994.apr0486
  6. 6. Roth I. Fruits of angiosperms (Encyclopedia of Plant Anatomy). Berlin: Lubrecht & Cramer Ltd; 1978. p. 675.
  7. 7. Seymour GB, Østergaard L, Chapman NH, Knapp S, Martin C. Fruit development and ripening. Annu Rev Plant Biol. 2013;64: 219–241. pmid:23394500
  8. 8. Becker A. A molecular update on the origin of the carpel. Curr Opin Plant Biol. 2020;53: 15–22. pmid:31622798
  9. 9. Ballester P, Ferrándiz C. Shattering fruits: variations on a dehiscent theme. Curr Opin Plant Biol. 2017;35: 68–75. pmid:27888713
  10. 10. Ferrándiz C. Regulation of fruit dehiscence in Arabidopsis. J Exp Bot. 2002;53: 2031–2038. pmid:12324527
  11. 11. Ferrándiz C, Fourquin C. Role of the FUL-SHP network in the evolution of fruit morphology and function. J Exp Bot. 2014;65: 4505–4513. pmid:24482369
  12. 12. Gu Q, Ferrándiz C, Yanofsky MF, Martienssen R. The FRUITFULL MADS-box gene mediates cell differentiation during Arabidopsis fruit development. Development. 1998;125: 1509–1517. pmid:9502732
  13. 13. Roeder AHK, Ferrándiz C, Yanofsky MF. The role of the REPLUMLESS homeodomain protein in patterning the Arabidopsis fruit. Curr Biol. 2003;13: 1630–1635. pmid:13678595
  14. 14. Liljegren SJ, Roeder AH, Kempin SA, Gremski K, Østergaard L, Guimil S, et al. Control of fruit patterning in Arabidopsis by INDEHISCENT. Cell. 2004;116: 843–853. pmid:15035986
  15. 15. Girin T, Paicu T, Stephenson P, Fuentes S, Körner E, O’Brien M, et al. INDEHISCENT and SPATULA interact to specify carpel and valve margin tissue and thus promote seed dispersal in Arabidopsis. Plant Cell. 2011;23: 3641–3653. pmid:21990939
  16. 16. Groszmann M, Paicu T, Alvarez JP, Swain SM, Smyth DR. SPATULA and ALCATRAZ, are partially redundant, functionally diverging bHLH genes required for Arabidopsis gynoecium and fruit development. Plant J. 2011;68: 816–829. pmid:21801252
  17. 17. Ferrándiz C, Gu Q, Martienssen R, Yanofsky MF. Redundant regulation of meristem identity and plant architecture by FRUITFULL, APETALA1 and CAULIFLOWER. Development. 2000;127: 725–734. pmid:10648231
  18. 18. Alonso-Cantabrana H, Ripoll JJ, Ochando I, Vera A, Ferrándiz C, Martínez-Laborda A. Common regulatory networks in leaf and fruit patterning revealed by mutations in the Arabidopsis ASYMMETRIC LEAVES1 gene. Development. 2007;134: 2663–2671. pmid:17592013
  19. 19. Dinneny JR, Weigel D, Yanofsky MF. A genetic framework for fruit patterning in Arabidopsis thaliana. Development. 2005;132: 4687–4696. pmid:16192305
  20. 20. Ripoll JJ, Roeder AHK, Ditta GS, Yanofsky MF. A novel role for the floral homeotic gene APETALA2 during Arabidopsis fruit development. Development. 2011;138: 5167–5176. pmid:22031547
  21. 21. Shen C, Li G, Dreni L, Zhang D. Molecular control of carpel development in the grass family. Front Plant Sci. 2021;12: 635500. pmid:33664762
  22. 22. Rasmussen FN, Johansen B. Carpology of orchids. Selbyana. 2006;27: 44–53. Available: http://www.jstor.org/stable/41760259
  23. 23. Dressler RL. The improbable Selenipedium chica. Amer Orchid Soc Bull. 1989;58: 549–552.
  24. 24. Clements MA. Seed morphology. Genera Orchidacearum: Cypripedioideae. 1999. pp. 59–66.
  25. 25. Kocyan A, Endress PK. Floral structure and development of Apostasia and Neuwiedia (Apostasioideae) and their relationships to other orchidaceae. Int J Plant Sci. 2001;162: 847–867.
  26. 26. Suetsugu K. Independent recruitment of a novel seed dispersal system by camel crickets in achlorophyllous plants. New Phytol. 2018;217: 828–835. pmid:29120037
  27. 27. Suetsugu K. Seed dispersal in the mycoheterotrophic orchid Yoania japonica: Further evidence for endozoochory by camel crickets. Plant Biol (Stuttg). 2018;20: 707–712. pmid:29656468
  28. 28. Pansarin ER, Suetsugu K. Mammal-mediated seed dispersal in Vanilla: Its rewards and clues to the evolution of fleshy fruits in orchids. Ecology. 2022;103: e3701. pmid:35365869
  29. 29. Suetsugu K. A novel seed dispersal mode of Apostasia nipponica could provide some clues to the early evolution of the seed dispersal system in Orchidaceae. Evol Lett. 2020;4: 457–464. pmid:33014421
  30. 30. Roeder AHK, Yanofsky MF. Fruit development in Arabidopsis. Arabidopsis Book. 2006;4: e0075. https://doi.org/10.1199/tab.0075 pmid:22303227
  31. 31. Dirks-Mulder A, Ahmed I, Uit Het Broek M, Krol L, Menger N, Snier J, et al. Morphological and molecular characterization of orchid fruit development. Front Plant Sci. 2019;10: 137. pmid:30838009
  32. 32. Benson DA, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW. GenBank. Nucleic Acids Res. 2015;43: D30–D35. pmid:25414350
  33. 33. Givnish TJ, Spalink D, Ames M, Lyon SP, Hunter SJ, Zuluaga A, et al. Orchid phylogenomics and multiple drivers of their extraordinary diversification. Proc Biol Sci. 2015;282. pmid:26311671
  34. 34. Miller MA, Pfeiffer W, Schwartz T. Creating the CIPRES Science Gateway for inference of large phylogenetic trees. 2010 Gateway Computing Environments Workshop (GCE). IEEE; 2010. pp. 1–8. https://doi.org/10.1109/GCE.2010.5676129
  35. 35. Ramírez SR, Gravendeel B, Singer RB, Marshall CR, Pierce NE. Dating the origin of the Orchidaceae from a fossil orchid with its pollinator. Nature. 2007;448: 1042–1045. pmid:17728756
  36. 36. Chomicki G, Bidel LPR, Ming F, Coiro M, Zhang X, Wang Y, et al. The velamen protects photosynthetic orchid roots against UV-B damage, and a large dated phylogeny implies multiple gains and losses of this function during the Cenozoic. New Phytol. 2015;205: 1330–1341. pmid:25345817
  37. 37. Poinar G, Rasmussen FN. Orchids from the past, with a new species in Baltic amber. Botan J Linn Soc. 2017;183: 327–333.
  38. 38. Rambaut A. FigTree. Edinburg, Ireland: Institute of Evolutionary Biology, University of Edinburgh, Edinburgh.; 2014. Available: http://tree.bio.ed.ac.uk/software/figtree/
  39. 39. Gandrud C. Reproducible research with R and R Studio. New York, USA: Chapman and Hall/CRC.; 2015.
  40. 40. Paradis E, Claude J, Strimmer K. APE: Analyses of Phylogenetics and Evolution in R language. Bioinformatics. 2004;20: 289–290. pmid:14734327
  41. 41. Revell LJ. phytools: an R package for phylogenetic comparative biology (and other things). Methods in Ecology and Evolution. 2012;3: 217–223.
  42. 42. Yu G, Smith DK, Zhu H, Guan Y, Lam TTY. ggtree: An R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods Ecol Evol. 2016;8: 28–36.
  43. 43. Yang Z, Kumar S, Nei M. A new method of inference of ancestral nucleotide and amino acid sequences. Genetics. 1995;141: 1641–1650. pmid:8601501
  44. 44. R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2018.
  45. 45. Bollback JP. SIMMAP: stochastic character mapping of discrete traits on phylogenies. BMC Bioinformatics. 2006;7: 88. pmid:16504105
  46. 46. Pagel M. Detecting correlated evolution on phylogenies: A general method for the comparative analysis of discrete characters. Proceedings of the Royal Society B: Biological Sciences. 1994;255: 37–45.
  47. 47. Pagel M. The Maximum Likelihood approach to reconstructing ancestral character states of discrete characters on phylogenies. Syst Biol. 1999;48: 612–622.
  48. 48. Pagel M, Meade A. Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo. Am Nat. 2006;167: 808–825. pmid:16685633
  49. 49. Plummer M, Best N, Cowles K, Vines K. CODA: convergence diagnosis and output analysis for MCMC. RNews. 2006;6: 7–11.
  50. 50. Haas BJ, Papanicolaou A, Yassour M, Grabherr M, Blood PD, Bowden J, et al. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nat Protoc. 2013;8: 1494–1512. pmid:23845962
  51. 51. Bushmanova E, Antipov D, Lapidus A, Prjibelski AD. rnaSPAdes: a de novo transcriptome assembler and its application to RNA-Seq data. Gigascience. 2019;8: giz100. pmid:31494669
  52. 52. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 2012;19: 455–477. pmid:22506599
  53. 53. Chang Z, Li G, Liu J, Zhang Y, Ashby C, Liu D, et al. Bridger: a new framework for de novo transcriptome assembly using RNA-seq data. Genome Biol. 2015;16: 30. pmid:25723335
  54. 54. Keilwagen J, Hartung F, Paulini M, Twardziok SO, Grau J. Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi. BMC Bioinformatics. 2018;19: 189. pmid:29843602
  55. 55. Pertea M, Pertea GM, Antonescu CM, Chang T-C, Mendell JT, Salzberg SL. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat Biotechnol. 2015;33: 290–295. pmid:25690850
  56. 56. Yu T, Mu Z, Fang Z, Liu X, Gao X, Liu J. TransBorrow: genome-guided transcriptome assembly by borrowing assemblies from different assemblers. Genome Res. 2020;30: 1181–1190. pmid:32817072
  57. 57. Gilbert D. Gene-omes built from mRNA seq not genome DNA. F1000Research. F1000Research; 2016. Available: http://doi:10.7490/f1000research.1112594.1
  58. 58. Patro R, Duggal G, Love MI, Irizarry RA, Kingsford C. Salmon provides fast and bias-aware quantification of transcript expression. Nat Methods. 2017;14: 417–419. pmid:28263959
  59. 59. Seppey M, Manni M, Zdobnov EM. BUSCO: assessing genome assembly and annotation completeness. Methods Mol Biol. 2019;1962: 227–245. pmid:31020564
  60. 60. Consortium UniProt. UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Res. 2021;49: D480–D489. pmid:33237286
  61. 61. Babicki S, Arndt D, Marcu A, Liang Y, Grant JR, Maciejewski A, et al. Heatmapper: web-enabled heat mapping for all. Nucleic Acids Res. 2016;44: W147–W153. pmid:27190236
  62. 62. Chao Y-T, Yen S-H, Yeh J-H, Chen W-C, Shih M-C. Orchidstra 2.0-a transcriptomics resource for the orchid family. Plant Cell Physiol. 2017;58: e9. pmid:28111366
  63. 63. Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29: e45. pmid:11328886
  64. 64. Taylor S, Wakem M, Dijkman G, Alsarraj M, Nguyen M. A practical approach to RT-qPCR-publishing data that conform to the MIQE guidelines. Methods. 2010;50: S1–5. pmid:20215014
  65. 65. Lee J, Lee I. Regulation and function of SOC1, a flowering pathway integrator. J Exp Bot. 2010;61: 2247–2254. pmid:20413527
  66. 66. Lin C-S, Hsu C-T, Liao D-C, Chang W-J, Chou M-L, Huang Y-T, et al. Transcriptome-wide analysis of the MADS-box gene family in the orchid Erycina pusilla. Plant Biotechnol J. 2016;14: 284–298. pmid:25917508
  67. 67. Shen C-Y, Chen Y-Y, Liu K-W, Lu H-C, Chang S-B, Hsiao Y-Y, et al. Orchid Bsister gene PeMADS28 displays conserved function in ovule integument development. Sci Rep. 2021;11: 1205. pmid:33441740
  68. 68. del Campillo E, Abdel-Aziz A, Crawford D, Patterson SE. Root cap specific expression of an endo-beta-1,4-D-glucanase (cellulase): a new marker to study root development in Arabidopsis. Plant Mol Biol. 2004;56: 309–323. pmid:15604746
  69. 69. Sander L, Child R, Ulvskov P, Albrechtsen M, Borkhardt B. Analysis of a dehiscence zone endo-polygalacturonase in oilseed rape (Brassica napus) and Arabidopsis thaliana: Evidence for roles in cell separation in dehiscence and abscission zones, and in stylar tissues during pollen tube growth. Plant Mol Biol. 2001;46: 469–479. pmid:11485203
  70. 70. Jenkins ES, Paul W, Craze M, Whitelaw CA, Weigand A, Roberts JA. Dehiscence-related expression of an Arabidopsis thaliana gene encoding a polygalacturonase in transgenic plants of Brassica napus. Plant Cell Environ. 1999;22: 159–167.
  71. 71. Ogawa M, Kay P, Wilson S, Swain SM. ARABIDOPSIS DEHISCENCE ZONE POLYGALACTURONASE1 (ADPG1), ADPG2, and QUARTET2 are Polygalacturonases required for cell separation during reproductive development in Arabidopsis. Plant Cell. 2009;21: 216–233. pmid:19168715
  72. 72. Lane DR, Wiedemeier A, Peng L, Höfte H, Vernhettes S, Desprez T, et al. Temperature-sensitive alleles of RSW2 link the KORRIGAN endo-1,4-beta-glucanase to cellulose synthesis and cytokinesis in Arabidopsis. Plant Physiol. 2001;126: 278–288. pmid:11351091
  73. 73. He H, Bai M, Tong P, Hu Y, Yang M, Wu H. CELLULASE6 and MANNANASE7 affect cell differentiation and silique dehiscence. Plant Physiol. 2018;176: 2186–2201. pmid:29348141
  74. 74. Sessions A, Nemhauser JL, McColl A, Roe JL, Feldmann KA, Zambryski PC. ETTIN patterns the Arabidopsis floral meristem and reproductive organs. Development. 1997;124: 4481–4491. pmid:9409666
  75. 75. Wu M-F, Tian Q, Reed JW. Arabidopsis microRNA167 controls patterns of ARF6 and ARF8 expression, and regulates both female and male reproduction. Development. 2006;133: 4211–4218. pmid:17021043
  76. 76. Kivivirta KI, Herbert D, Roessner C, de Folter S, Marsch-Martinez N, Becker A. Transcriptome analysis of gynoecium morphogenesis uncovers the chronology of gene regulatory network activity. Plant Physiol. 2021;185: 1076–1090. pmid:33793890
  77. 77. Causier B, Ashworth M, Guo W, Davies B. The TOPLESS interactome: a framework for gene repression in Arabidopsis. Plant Physiol. 2012;158: 423–438. pmid:22065421
  78. 78. Szemenyei H, Hannon M, Long JA. TOPLESS mediates auxin-dependent transcriptional repression during Arabidopsis embryogenesis. Science. 2008;319: 1384–1386. pmid:18258861
  79. 79. Dinesh DC, Villalobos LIAC, Abel S. Structural biology of nuclear auxin action. Trends Plant Sci. 2016;21: 302–316. pmid:26651917
  80. 80. Kitakura S, Vanneste S, Robert S, Löfke C, Teichmann T, Tanaka H, et al. Clathrin mediates endocytosis and polar distribution of PIN auxin transporters in Arabidopsis. Plant Cell. 2011;23: 1920–1931. pmid:21551390
  81. 81. Petrásek J, Friml J. Auxin transport routes in plant development. Development. 2009;136: 2675–2688. pmid:19633168
  82. 82. Schuster C, Gaillochet C, Lohmann JU. Arabidopsis HECATE genes function in phytohormone control during gynoecium development. Development. 2015;142: 3343–3350. pmid:26293302
  83. 83. Bartrina I, Otto E, Strnad M, Werner T, Schmülling T. Cytokinin regulates the activity of reproductive meristems, flower organ size, ovule formation, and thus seed yield in Arabidopsis thaliana. Plant Cell. 2011;23: 69–80. pmid:21224426
  84. 84. Reyes-Olalde JI, Zúñiga-Mayo VM, Serwatowska J, Chavez Montes RA, Lozano-Sotomayor P, Herrera-Ubaldo H, et al. The bHLH transcription factor SPATULA enables cytokinin signaling, and both activate auxin biosynthesis and transport genes at the medial domain of the gynoecium. PLoS Genet. 2017;13: e1006726. pmid:28388635
  85. 85. Hou X, Hu WW, Shen L, Lee LYC, Tao Z, Han JH, et al. Global identification of DELLA target genes during Arabidopsis flower development. Plant Physiol. 2008;147: 1126–1142. pmid:18502975
  86. 86. Tashiro S, Tian C, Watahiki MK, Yamamoto KT. Changes in growth kinetics of stamen filaments cause inefficient pollination in massugu2, an auxin insensitive, dominant mutant of Arabidopsis thaliana. Physiol Plant. 2009;137: 175–187. pmid:19719484
  87. 87. Aguilar-Martínez JA, Poza-Carrión C, Cubas P. Arabidopsis BRANCHED1 acts as an integrator of branching signals within axillary buds. Plant Cell. 2007;19: 458–472. pmid:17307924
  88. 88. Koyama T, Furutani M, Tasaka M, Ohme-Takagi M. TCP transcription factors control the morphology of shoot lateral organs via negative regulation of the expression of boundary-specific genes in Arabidopsis. Plant Cell. 2007;19: 473–484. pmid:17307931
  89. 89. Manassero NGU, Viola IL, Welchen E, Gonzalez DH. TCP transcription factors: architectures of plant form. Biomol Concepts. 2013;4: 111–127. pmid:25436570
  90. 90. Ståldal V, Sohlberg JJ, Eklund DM, Ljung K, Sundberg E. Auxin can act independently of CRC, LUG, SEU, SPT and STY1 in style development but not apical-basal patterning of the Arabidopsis gynoecium. New Phytol. 2008;180: 798–808. pmid:18811619
  91. 91. Sitaraman J, Bui M, Liu Z. LEUNIG_HOMOLOG and LEUNIG perform partially redundant functions during Arabidopsis embryo and floral development. Plant Physiol. 2008;147: 672–681. pmid:18390806
  92. 92. Kuusk S, Sohlberg JJ, Magnus Eklund D, Sundberg E. Functionally redundant SHI family genes regulate Arabidopsis gynoecium development in a dose-dependent manner. Plant J. 2006;47: 99–111. pmid:16740146
  93. 93. Chen C, Wang S, Huang H. LEUNIG has multiple functions in gynoecium development in Arabidopsis. Genesis. 2000;26: 42–54. pmid:10660672
  94. 94. Shrestha B, Guragain B, Sridhar VV. Involvement of co-repressor LUH and the adapter proteins SLK1 and SLK2 in the regulation of abiotic stress response genes in Arabidopsis. BMC Plant Biol. 2014;14: 54. pmid:24564815
  95. 95. Bao F, Azhakanandam S, Franks RG. SEUSS and SEUSS-LIKE transcriptional adaptors regulate floral and embryonic development in Arabidopsis. Plant Physiol. 2010;152: 821–836. pmid:20007451
  96. 96. Lin Y-F, Chen Y-Y, Hsiao Y-Y, Shen C-Y, Hsu J-L, Yeh C-M, et al. Genome-wide identification and characterization of TCP genes involved in ovule development of Phalaenopsis equestris. J Exp Bot. 2016;67: 5051–5066. pmid:27543606
  97. 97. Harwood JL. Plant acyl lipids: structure, distribution, and analysis. Lipids: structure and function. Elsevier; 1980. pp. 1–55. https://doi.org/10.1016/B978-0-12-675404-9.50007–2
  98. 98. Li-Beisson Y, Shorrosh B, Beisson F, Andersson MX, Arondel V, Bates PD, et al. Acyl-lipid metabolism. Arabidopsis Book. 2013;11: e0161. pmid:23505340
  99. 99. Hlousek-Radojcić A, Post-Beittenmiller D, Ohlrogge JB. Expression of constitutive and tissue-specific acyl carrier protein isoforms in Arabidopsis. Plant Physiol. 1992;98: 206–214. pmid:16668615
  100. 100. Bonaventure G, Ohlrogge JB. Differential regulation of mRNA levels of acyl carrier protein isoforms in Arabidopsis. Plant Physiol. 2002;128: 223–235. pmid:11788768
  101. 101. Kim J, Kim RJ, Lee SB, Chung Suh M. Protein-protein interactions in fatty acid elongase complexes are important for very-long-chain fatty acid synthesis. J Exp Bot. 2022;73: 3004–3017. pmid:35560210
  102. 102. Li RJ, Gao X, Li LM, Liu XL, Wang ZY, Lü S-Y. De novo assembly and characterization of the fruit transcriptome of Idesia polycarpa reveals candidate genes for lipid biosynthesis. Front Plant Sci. 2016;7: 801. pmid:27375655
  103. 103. Mou Z, He Y, Dai Y, Liu X, Li J. Deficiency in fatty acid synthase leads to premature cell death and dramatic alterations in plant morphology. Plant Cell. 2000;12: 405–418. pmid:10715326
  104. 104. Kauppinen S. Structure and expression of the Kas12 gene encoding a beta-ketoacyl-acyl carrier protein synthase I isozyme from barley. J Biol Chem. 1992;267: 23999–24006. pmid:1429736
  105. 105. Kusumi J, Iba K. Characterization of a nonsense mutation inFAD7, the gene which encodesω-3 desaturase inArabidopsis thaliana. J Plant Res. 1998;111: 87–91.
  106. 106. Li F, Wu X, Lam P, Bird D, Zheng H, Samuels L, et al. Identification of the wax ester synthase/acyl-coenzyme A: diacylglycerol acyltransferase WSD1 required for stem wax ester biosynthesis in Arabidopsis. Plant Physiol. 2008;148: 97–107. pmid:18621978
  107. 107. Bernard A, Domergue F, Pascal S, Jetter R, Renne C, Faure J-D, et al. Reconstitution of plant alkane biosynthesis in yeast demonstrates that Arabidopsis ECERIFERUM1 and ECERIFERUM3 are core components of a very-long-chain alkane synthesis complex. Plant Cell. 2012;24: 3106–3118. pmid:22773744
  108. 108. Li-Beisson Y, Pollard M, Sauveplane V, Pinot F, Ohlrogge J, Beisson F. Nanoridges that characterize the surface morphology of flowers require the synthesis of cutin polyester. Proc Natl Acad Sci USA. 2009;106: 22008–22013. pmid:19959665
  109. 109. Yeats TH, Rose JKC. The formation and function of plant cuticles. Plant Physiol. 2013;163: 5–20. pmid:23893170
  110. 110. McFarlane HE, Shin JJH, Bird DA, Samuels AL. Arabidopsis ABCG transporters, which are required for export of diverse cuticular lipids, dimerize in different combinations. Plant Cell. 2010;22: 3066–3075. pmid:20870961
  111. 111. Panikashvili D, Shi JX, Schreiber L, Aharoni A. The Arabidopsis ABCG13 transporter is required for flower cuticle secretion and patterning of the petal epidermis. New Phytol. 2011;190: 113–124. pmid:21232060
  112. 112. Jakobson L, Lindgren LO, Verdier G, Laanemets K, Brosché M, Beisson F, et al. BODYGUARD is required for the biosynthesis of cutin in Arabidopsis. New Phytol. 2016;211: 614–626. pmid:26990896
  113. 113. Li Y, Beisson F, Koo AJK, Molina I, Pollard M, Ohlrogge J. Identification of acyltransferases required for cutin biosynthesis and production of cutin with suberin-like monomers. Proc Natl Acad Sci USA. 2007;104: 18339–18344. pmid:17991776
  114. 114. Wellesen K, Durst F, Pinot F, Benveniste I, Nettesheim K, Wisman E, et al. Functional analysis of the LACERATA gene of Arabidopsis provides evidence for different roles of fatty acid omega -hydroxylation in development. Proc Natl Acad Sci USA. 2001;98: 9694–9699. pmid:11493698
  115. 115. Yeats TH, Huang W, Chatterjee S, Viart HM-F, Clausen MH, Stark RE, et al. Tomato Cutin Deficient 1 (CD1) and putative orthologs comprise an ancient family of Cutin Synthase-like (CUS) proteins that are conserved among land plants. Plant J. 2014;77: 667–675. pmid:24372802
  116. 116. Guo M, Thomas J, Collins G, Timmermans MCP. Direct repression of KNOX loci by the ASYMMETRIC LEAVES1 complex of Arabidopsis. Plant Cell. 2008;20: 48–58.
  117. 117. Ma J, Zhang Y, Wang H, Zhen W, Zhang Y, Duan H, et al. Differentially Expressed Genes and Enriched Pathways During Drought-Sensitive Period Under Field Conditions in Bread Wheat. Plant Mol Biol Rep. 2019;37: 389–400.
  118. 118. Lashbrooke J, Adato A, Lotan O, Alkan N, Tsimbalist T, Rechav K, et al. The Tomato MIXTA-Like Transcription Factor Coordinates Fruit Epidermis Conical Cell Development and Cuticular Lipid Biosynthesis and Assembly. Plant Physiol. 2015;169: 2553–2571. pmid:26443676
  119. 119. Oshima Y, Shikata M, Koyama T, Ohtsubo N, Mitsuda N, Ohme-Takagi M. MIXTA-like transcription factors and WAX INDUCER1/SHINE1 coordinately regulate cuticle development in Arabidopsis and Torenia fournieri. Plant Cell. 2013;25: 1609–1624. pmid:23709630
  120. 120. Thoma S, Kaneko Y, Somerville C. A non-specific lipid transfer protein from Arabidopsis is a cell wall protein. Plant J. 1993;3: 427–436. pmid:8220451
  121. 121. Deeken R, Saupe S, Klinkenberg J, Riedel M, Leide J, Hedrich R, et al. The nonspecific lipid transfer protein AtLtpI-4 is involved in suberin formation of Arabidopsis thaliana crown galls. Plant Physiol. 2016;172: 1911–1927. pmid:27688623
  122. 122. Gutierrez L, Van Wuytswinkel O, Castelain M, Bellini C. Combined networks regulating seed maturation. Trends Plant Sci. 2007;12: 294–300. pmid:17588801
  123. 123. Baud S, Lepiniec L. Regulation of de novo fatty acid synthesis in maturing oilseeds of Arabidopsis. Plant Physiol Biochem. 2009;47: 448–455. pmid:19136270
  124. 124. Weng H, Molina I, Shockey J, Browse J. Organ fusion and defective cuticle function in a lacs1 lacs2 double mutant of Arabidopsis. Planta. 2010;231: 1089–1100. pmid:20237894
  125. 125. Rowland O, Zheng H, Hepworth SR, Lam P, Jetter R, Kunst L. CER4 encodes an alcohol-forming fatty acyl-coenzyme A reductase involved in cuticular wax production in Arabidopsis. Plant Physiol. 2006;142: 866–877. pmid:16980563
  126. 126. Mühlhausen A, Polster A, Theißen G, Mummenhoff K. Evolution of fruit dehiscence in Brassicaceae–Examples from Aethionema and Lepidium. Acta Hortic. 2010; 207–220.
  127. 127. Mummenhoff K, Al-Shehbaz I, Bakker F, Linder P. Phylogeny, morphological evolution, and speciation of endemic Brassicaceae genera in the Cape Flora of Southern Africa. Annals of the Missouri Botanical Garden. 2005;92: 400–424.
  128. 128. Mummenhoff K, Polster A, Mühlhausen A, Theissen G. Lepidium as a model system for studying the evolution of fruit development in Brassicaceae. J Exp Bot. 2009;60: 1503–1513. pmid:19052256
  129. 129. Franzke A, Lysak MA, Al-Shehbaz IA, Koch MA, Mummenhoff K. Cabbage family affairs: the evolutionary history of Brassicaceae. Trends Plant Sci. 2011;16: 108–116. pmid:21177137
  130. 130. Mummenhoff K, Brüggemann H, Bowman JL. Chloroplast DNA phylogeny and biogeography of Lepidium (Brassicaceae). Am J Bot. 2001;88: 2051–2063.
  131. 131. Johnson JS, Cantrell RS, Cosner C, Hartig F, Hastings A, Rogers HS, et al. Rapid changes in seed dispersal traits may modify plant responses to global change. AoB Plants. 2019;11: plz020. pmid:31198528
  132. 132. Pramanik D, Spaans M, Kranenburg T, Bogarin D, Heijungs R, Lens F, et al. Inflorescence lignification of natural species and horticultural hybrids of Phalaenopsis orchids. Sci Hortic. 2022;295: 110845.
  133. 133. Niu Y, Zhou Z, Sha W, Sun H. Post-floral erection of stalks provides insight into the evolution of fruit orientation and its effects on seed dispersal. Sci Rep. 2016;6: 20146. pmid:26832830
  134. 134. Mayer JLS, Carmello-Guerreiro SM, Appezzato-da-Glória B. Anatomical development of the pericarp and seed of Oncidium flexuosum Sims (Orchidaceae). Flora—Morphology, Distribution, Functional Ecology of Plants. 2011;206: 601–609.
  135. 135. Droppert K. Development of dehiscence zone formation in the fruits of Erycina pusilla and Phalaenopsis equestris (Orchidaceae). Undergraduate thesis, University of Applied Science Leiden. 2020.
  136. 136. Liljegren SJ, Ditta GS, Eshed Y, Savidge B, Bowman JL, Yanofsky MF. SHATTERPROOF MADS-box genes control seed dispersal in Arabidopsis. Nature. 2000;404: 766–770. pmid:10783890
  137. 137. Tani E, Polidoros AN, Tsaftaris AS. Characterization and expression analysis of FRUITFULL- and SHATTERPROOF-like genes from peach (Prunus persica) and their role in split-pit formation. Tree Physiol. 2007;27: 649–659. pmid:17267356
  138. 138. Fourquin C, Ferrándiz C. Functional analyses of AGAMOUS family members in Nicotiana benthamiana clarify the evolution of early and late roles of C-function genes in eudicots. Plant J. 2012;71: 990–1001. pmid:22563981
  139. 139. Rajani S, Sundaresan V. The Arabidopsis myc/bHLH gene ALCATRAZ enables cell separation in fruit dehiscence. Curr Biol. 2001;11: 1914–1922. pmid:11747817
  140. 140. Roberts J. Cell separation processes in plants—models, mechanisms and manipulation. Ann Bot. 2000;86: 223–235.
  141. 141. Patterson SE. Cutting loose. Abscission and dehiscence in Arabidopsis. Plant Physiol. 2001;126: 494–500. pmid:11402180
  142. 142. Gross T, Broholm S, Becker A. CRABS CLAW acts as a bifunctional transcription factor in flower development. Front Plant Sci. 2018;9: 835. pmid:29973943
  143. 143. Yamaguchi T, Nagasawa N, Kawasaki S, Matsuoka M, Nagato Y, Hirano H-Y. The YABBY gene DROOPING LEAF regulates carpel specification and midrib development in Oryza sativa. Plant Cell. 2004;16: 500–509. pmid:14729915
  144. 144. Chen YY, Hsiao YY, Li CI, Yeh CM, Mitsuda N, Yang HX, et al. The ancestral duplicated DL/CRC orthologs, PeDL1 and PeDL2, function in orchid reproductive organ innovation. J Exp Bot. 2021;72: 5442–5461. pmid:33963755
  145. 145. Lucibelli F, Valoroso MC, Theißen G, Nolden S, Mondragon-Palomino M, Aceto S. Extending the toolkit for beauty: Differential co-expression of DROOPING LEAF-like and class B MADS-Box genes during Phalaenopsis flower development. Int J Mol Sci. 2021;22: 7025. pmid:34209912
  146. 146. Sun T-P, Gubler F. Molecular mechanism of gibberellin signaling in plants. Annu Rev Plant Biol. 2004;55: 197–223. pmid:15377219
  147. 147. Ahmad S, Lu C, Wei Y, Gao J, Jin J, Zheng C, et al. Stage specificity, the dynamic regulators and the unique orchid Arundina graminifolia. Int J Mol Sci. 2021;22: 10935. pmid:34681593
  148. 148. Zeng X, Ling H, Chen X, Guo S. Genome-wide identification, phylogeny and function analysis of GRAS gene family in Dendrobium catenatum (Orchidaceae). Gene. 2019;705: 5–15. pmid:30999026
  149. 149. Ke J, Behal RH, Back SL, Nikolau BJ, Wurtele ES, Oliver DJ. The role of pyruvate dehydrogenase and acetyl-coenzyme a synthetase in fatty acid synthesis in developing Arabidopsis seeds. Plant Physiol. 2000;123: 497–508. pmid:10859180
  150. 150. Fiebig A, Mayfield JA, Miley NL, Chau S, Fischer RL, Preuss D. Alterations in CER6, a gene identical to CUT1, differentially affect long-chain lipid content on the surface of pollen and stems. Plant Cell. 2000;12: 2001–2008. pmid:11041893
  151. 151. Paul S, Gable K, Beaudoin F, Cahoon E, Jaworski J, Napier JA, et al. Members of the Arabidopsis FAE1-like 3-ketoacyl-CoA synthase gene family substitute for the Elop proteins of Saccharomyces cerevisiae. J Biol Chem. 2006;281: 9018–9029. pmid:16449229
  152. 152. Greer S, Wen M, Bird D, Wu X, Samuels L, Kunst L, et al. The cytochrome P450 enzyme CYP96A15 is the midchain alkane hydroxylase responsible for formation of secondary alcohols and ketones in stem cuticular wax of Arabidopsis. Plant Physiol. 2007;145: 653–667. pmid:17905869
  153. 153. Renault H, Alber A, Horst NA, Basilio Lopes A, Fich EA, Kriegshauser L, et al. A phenol-enriched cuticle is ancestral to lignin evolution in land plants. Nat Commun. 2017;8: 14713. pmid:28270693