Molecular Systems BiologyEvolutionary BiologyPeer-reviewed journal article
Unique trajectory of gene family evolution from genomic analysis of nearly all known species in an ancient yeast lineage
Bo FengiD, Yonglin LiiD, Biyang XuiD, Hongyue LiuiD, Jacob Lucas SteenwykiD, Kyle T. DavidiD, Xiaolin TianiD, Carla GonçalvesiD, Dana A. OpulenteiD, Abigail Leavitt LaBellaiD, Marie‐Claire HarrisoniD, John F. WoltersiD, Shengyuan ShaoiD, Zhaohao CheniD, Kaitlin J. FisheriD, Marizeth GroenewaldiD, Chris Todd HittingeriD, Xing‐Xing SheniD, Shengying LiiD, Antonis RokasiD, Xiaofan ZhouiD, Yuanning LiiD
Abstract
Gene gains and losses are a major driver of genome evolution; their precise characterization can provide insights into the origin and diversification of major lineages. Here, we examined gene family evolution of 1,154 genomes from nearly all known species in the medically and technologically important yeast subphylum Saccharomycotina. We found that yeast gene family and genome evolution are distinct from plants, animals, and filamentous ascomycetes and are characterized by small genome sizes and smaller gene numbers but larger gene family sizes. Faster-evolving lineages (FELs) in yeasts experienced significantly higher rates of gene losses--commensurate with a narrowing of metabolic niche breadth--but higher speciation rates than their slower-evolving sister lineages (SELs). Gene families most often lost are those involved in mRNA splicing, carbohydrate metabolism, and cell division and are likely associated with intron loss, metabolic breadth, and non-canonical cell cycle processes. Our results highlight the significant role of gene family contractions in the evolution of yeast metabolism, genome function, and speciation, and suggest that gene family evolutionary trajectories have differed markedly across major eukaryotic lineages.
- organism: yeast
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- research focus: gene regulatory network inference
- research focus: development & morphogenesis
- research focus: metabolism & bioenergetics
- approach: experimental assay
- Citations
- 9
- FWCI
- 2.16
- Field percentile
- top 12%
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