Whole-genome microsynteny-based phylogeny of angiosperms

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Authors

Zhao, Tao
Zwaenepoel, Arthur
Xue, Jia-Yu
Kao, Shu-Min
Li, Zhen
Schranz, M. Eric
Van de Peer, Yves

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Volume Title

Publisher

Nature Research

Abstract

Plant genomes vary greatly in size, organization, and architecture. Such structural differences may be highly relevant for inference of genome evolution dynamics and phylogeny. Indeed, microsynteny—the conservation of local gene content and order—is recognized as a valuable source of phylogenetic information, but its use for the inference of large phylogenies has been limited. Here, by combining synteny network analysis, matrix representation, and maximum likelihood phylogenetic inference, we provide a way to reconstruct phylogenies based on microsynteny information. Both simulations and use of empirical data sets show our method to be accurate, consistent, and widely applicable. As an example, we focus on the analysis of a large-scale whole-genome data set for angiosperms, including more than 120 available high-quality genomes, representing more than 50 different plant families and 30 orders. Our ‘microsynteny-based’ tree is largely congruent with phylogenies proposed based on more traditional sequence alignment-based methods and current phylogenetic classifications but differs for some long-contested and controversial relationships. For instance, our syntenybased tree finds Vitales as early diverging eudicots, Saxifragales within superasterids, and magnoliids as sister to monocots. We discuss how synteny-based phylogenetic inference can complement traditional methods and could provide additional insights into some long-standing controversial phylogenetic relationships.

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Keywords

Plant genome, Angiosperms, Evolution, Whole-genome sequencing (WGS), Microsynteny-based phylogeny

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Citation

Zhao, T., Zwaenepoel, A., Xue, J.-Y., Kao, S.-M., Li, Z., Schranz, M.E. & Van de Peer, Y. Whole-genome microsynteny-based phylogeny of angiosperms. Nature Communications 2021 Jun 9;12(1):3498. doi: 10.1038/s41467-021-23665-0.