Nature PlantsPlant BiologyPeer-reviewed journal article
Comparative transcriptomics in ferns reveals key innovations and divergent evolution of secondary cell wall
Zahin Mohd AliiD, Qiao Wen TaniD, Peng Ken LimiD, Hengchi CheniD, Lukáš PfeiferiD, Irene JulcaiD, Jia Min LeeiD, Birgit ClasseniD, Sophie de VriesiD, Jan de VriesiD, Teng Seah Koh, Li Li Chin, Fanny Vinter, Camille Alvarado, Amandine Layens, Eshchar MizrachiiD, Mohammed Saddik MotawiaiD, Bodil Joergensen, Peter UlvskoviD, Yves Van de PeeriD, Boon Chuan Ho, Richard SiboutiD, Marek MutwiliD
Abstract
Despite ferns being crucial to understanding plant evolution, their large and complex genomes has kept their genetic landscape largely uncharted, with only a handful of genomes sequenced and sparse transcriptomic data. Addressing this gap, we generated extensive RNA-sequencing data for multiple organs across 22 representative species over the fern phylogeny, assembling high-quality transcriptomes. These data facilitated the construction of a time-calibrated fern phylogeny covering all major clades, revealing numerous whole-genome duplications and highlighting the uniqueness of fern genetics, with half of the uncovered gene families being fern-specific. Our investigation into fern cell walls through biochemical and immunological analyses identified occurrences of the lignin syringyl unit and its independent evolution in ferns. Moreover, the discovery of an unusual sugar in fern cell walls hints at a divergent evolutionary path in cell wall biochemistry, potentially driven by gene duplication and sub-functionalization. We provide an online database preloaded with genomic and transcriptomic data for ferns and other land plants, which we used to identify an independent evolution of lignocellulosic gene modules in ferns. Our data provide a framework for the unique evolutionary path that ferns have navigated since they split from the last common ancestor of euphyllophytes more than 360 million years ago.
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: phylogenetics / evolution
- approach: statistical model
- approach: experimental assay
- Citations
- 33
- FWCI
- 31.08
- Field percentile
- top 1%
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