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Evolution of Metabolome and Transcriptome Supports a Hierarchical Organization of Adaptive Traits.
Lai, Wei-Yun; Otte, Kathrin A; Schlötterer, Christian.
Afiliação
  • Lai WY; Institut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
  • Otte KA; Vienna Graduate School of Population Genetics, Vetmeduni Vienna, Vienna, Austria.
  • Schlötterer C; Institut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
Genome Biol Evol ; 15(6)2023 06 01.
Article em En | MEDLINE | ID: mdl-37232360
Most organismal phenotypes have a polygenic basis, which enables adaptive phenotypic responses on ecological time scales. While adaptive phenotypic changes are highly parallel in replicate populations, this does not apply to the contributing loci. In particular for small populations, the same phenotypic shift can be fueled by different sets of alleles at alternative loci (genetic redundancy). Although this phenomenon is empirically well supported, the molecular basis of the genetic redundancy is not yet understood. To fill this gap, we compared the heterogeneity of the evolutionary transcriptomic and metabolomic response in ten Drosophila simulans populations which evolved parallel high-level phenotypic changes in a novel temperature environment but used different allelic combinations of alternative loci. We showed that the metabolome evolved more parallel than the transcriptome, confirming a hierarchical organization of molecular phenotypes. Different sets of genes responded in each evolved population but led to the enrichment of similar biological functions and a consistent metabolic profile. Since even the metabolomic response was still highly heterogeneous across evolved populations, we propose that selection may operate on pathways/networks.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Transcriptoma Limite: Animals Idioma: En Revista: Genome Biol Evol Assunto da revista: BIOLOGIA / BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Áustria País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Transcriptoma Limite: Animals Idioma: En Revista: Genome Biol Evol Assunto da revista: BIOLOGIA / BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Áustria País de publicação: Reino Unido