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Local Adaptation and the Evolution of Genome Architecture in Threespine Stickleback.
Li, Qiushi; Lindtke, Dorothea; Rodríguez-Ramírez, Carlos; Kakioka, Ryo; Takahashi, Hiroshi; Toyoda, Atsushi; Kitano, Jun; Ehrlich, Rachel L; Chang Mell, Joshua; Yeaman, Sam.
Afiliação
  • Li Q; Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4.
  • Lindtke D; Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4.
  • Rodríguez-Ramírez C; Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.
  • Kakioka R; Tropical Biosphere Research Center, University of the Ryukyus, Nishihara, Nakagami-gun, Okinawa 903-0213, Japan.
  • Takahashi H; National Fisheries University, 2-7-1 Nagata-honmachi, Shimonoseki, Yamaguchi 759-6595, Japan.
  • Toyoda A; Comparative Genomics Laboratory, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan.
  • Kitano J; Ecological Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan.
  • Ehrlich RL; Department of Microbiology & Immunology, Drexel University College of Medicine, Philadelphia 19102, PA, USA.
  • Chang Mell J; Department of Microbiology & Immunology, Drexel University College of Medicine, Philadelphia 19102, PA, USA.
  • Yeaman S; Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4.
Genome Biol Evol ; 14(6)2022 05 31.
Article em En | MEDLINE | ID: mdl-35594844
ABSTRACT
Theory predicts that local adaptation should favor the evolution of a concentrated genetic architecture, where the alleles driving adaptive divergence are tightly clustered on chromosomes. Adaptation to marine versus freshwater environments in threespine stickleback has resulted in an architecture that seems consistent with this prediction divergence among populations is mainly driven by a few genomic regions harboring multiple quantitative trait loci for environmentally adapted traits, as well as candidate genes with well-established phenotypic effects. One theory for the evolution of these "genomic islands" is that rearrangements remodel the genome to bring causal loci into tight proximity, but this has not been studied explicitly. We tested this theory using synteny analysis to identify micro- and macro-rearrangements in the stickleback genome and assess their potential involvement in the evolution of genomic islands. To identify rearrangements, we conducted a de novo assembly of the closely related tubesnout (Aulorhyncus flavidus) genome and compared this to the genomes of threespine stickleback and two other closely related species. We found that small rearrangements, within-chromosome duplications, and lineage-specific genes (LSGs) were enriched around genomic islands, and that all three chromosomes harboring large genomic islands have experienced macro-rearrangements. We also found that duplicates and micro-rearrangements are 9.9× and 2.9× more likely to involve genes differentially expressed between marine and freshwater genotypes. While not conclusive, these results are consistent with the explanation that strong divergent selection on candidate genes drove the recruitment of rearrangements to yield clusters of locally adaptive loci.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Seleção Genética / Smegmamorpha Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Seleção Genética / Smegmamorpha Idioma: En Ano de publicação: 2022 Tipo de documento: Article