Orchid Phylotranscriptomics: The Prospects of Repurposing Multi-Tissue Transcriptomes for Phylogenetic Analysis and Beyond.

next-generation sequencing–NGS orchids phylogenomics phylogeny phylotranscriptomics plastome target sequence capture sequencing transcriptome

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2022
Historique:
received: 01 04 2022
accepted: 21 04 2022
entrez: 17 6 2022
pubmed: 18 6 2022
medline: 18 6 2022
Statut: epublish

Résumé

The Orchidaceae is rivaled only by the Asteraceae as the largest plant family, with the estimated number of species exceeding 25,000 and encompassing more than 700 genera. To gain insights into the mechanisms driving species diversity across both global and local scales, well-supported phylogenies targeting different taxonomic groups and/or geographical regions will be crucial. High-throughput sequencing technologies have revolutionized the field of molecular phylogenetics by simplifying the process of obtaining genome-scale sequence data. Consequently, there has been an explosive growth of such data in public repositories. Here we took advantage of this unprecedented access to transcriptome data from predominantly non-phylogenetic studies to assess if it can be repurposed to gain rapid and accurate phylogenetic insights across the orchids. Exhaustive searches revealed transcriptomic data for more than 100 orchid species spanning 5 subfamilies, 13 tribes, 21 subtribes, and 50 genera that were amendable for exploratory phylotranscriptomic analysis. Next, we performed re-assembly of the transcriptomes before strategic selection of the final samples based on a gene completeness evaluation. Drawing on these data, we report phylogenetic analyses at both deep and shallow evolutionary scales

Identifiants

pubmed: 35712597
doi: 10.3389/fpls.2022.910362
pmc: PMC9196242
doi:

Types de publication

Journal Article

Langues

eng

Pagination

910362

Informations de copyright

Copyright © 2022 Wong and Peakall.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Darren C J Wong (DCJ)

Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT, Australia.

Rod Peakall (R)

Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT, Australia.

Classifications MeSH