論文

査読有り
2015年8月

Independent Molecular Basis of Convergent Highland Adaptation in Maize

GENETICS
  • Shohei Takuno
  • ,
  • Peter Ralph
  • ,
  • Kelly Swarts
  • ,
  • Rob J. Elshire
  • ,
  • Jeffrey C. Glaubitz
  • ,
  • Edward S. Buckler
  • ,
  • Matthew B. Hufford
  • ,
  • Jeffrey Ross-Ibarra

200
4
開始ページ
1297
終了ページ
+
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1534/genetics.115.178327
出版者・発行元
GENETICS SOCIETY AMERICA

Convergent evolution is the independent evolution of similar traits in different species or lineages of the same species; this often is a result of adaptation to similar environments, a process referred to as convergent adaptation. We investigate here the molecular basis of convergent adaptation in maize to highland climates in Mesoamerica and South America, using genome-wide SNP data. Taking advantage of archaeological data on the arrival of maize to the highlands, we infer demographic models for both populations, identifying evidence of a strong bottleneck and rapid expansion in South America. We use these models to then identify loci showing an excess of differentiation as a means of identifying putative targets of natural selection and compare our results to expectations from recently developed theory on convergent adaptation. Consistent with predictions across a wide parameter space, we see limited evidence for convergent evolution at the nucleotide level in spite of strong similarities in overall phenotypes. Instead, we show that selection appears to have predominantly acted on standing genetic variation and that introgression from wild teosinte populations appears to have played a role in highland adaptation in Mexican maize.

リンク情報
DOI
https://doi.org/10.1534/genetics.115.178327
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26078279
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000359917000025&DestApp=WOS_CPL
ID情報
  • DOI : 10.1534/genetics.115.178327
  • ISSN : 0016-6731
  • eISSN : 1943-2631
  • PubMed ID : 26078279
  • Web of Science ID : WOS:000359917000025

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