Providing a phylogenetic framework for trait-based analyses in brown algae: Phylogenomic tree inferred from 32 nuclear protein-coding sequences

TitleProviding a phylogenetic framework for trait-based analyses in brown algae: Phylogenomic tree inferred from 32 nuclear protein-coding sequences
Publication TypeJournal Article
Year of Publication2022
AuthorsAkita S, Vieira C, Hanyuda T, Rousseau F, Cruaud C, Couloux A, Heesch S, J. Cock M, Kawai H
JournalMolecular Phylogenetics and Evolution
Volume168
Pagination107408
Date Publishedmar
ISSN1055-7903
KeywordsEctocarpales, genomics, Heterokontophytes, Phaeoexplorer, Phaeophyceae, RCC4962, RCC7086, RCC7088, RCC7090, RCC7092, RCC7094, RCC7096, RCC7098, RCC7101, RCC7104, RCC7107, RCC7108, RCC7109, RCC7112, RCC7115, RCC7116, RCC7117, RCC7120, RCC7123, RCC7124, RCC7125, RCC7127, RCC7129, RCC7131, RCC7134, RCC7137, RCC7138, RCC7139, stramenopiles
Abstract

In the study of the evolution of biological complexity, a reliable phylogenetic framework is needed. Many attempts have been made to resolve phylogenetic relationships between higher groups (i.e., interordinal) of brown algae (Phaeophyceae) based on molecular evidence, but most of these relationships remain unclear. Analyses based on small multi-gene data (including chloroplast, mitochondrial and nuclear sequences) have yielded inconclusive and sometimes contradictory results. To address this problem, we have analyzed 32 nuclear protein-coding sequences in 39 Phaeophycean species belonging to eight orders. The resulting nuclear-based phylogenomic trees provide virtually full support for the phylogenetic relationships within the studied taxa, with few exceptions. The relationships largely confirm phylogenetic trees based on nuclear, chloroplast and mitochondrial sequences, except for the placement of the Sphacelariales with weak bootstrap support. Our study indicates that nuclear protein-coding sequences provide significant support to conclusively resolve phylogenetic relationships among Phaeophyceae, and may be a powerful approach to fully resolve interordinal relationships with increased taxon sampling.

URLhttps://www.sciencedirect.com/science/article/pii/S1055790322000215
DOI10.1016/j.ympev.2022.107408