Extreme genetic signatures of local adaptation during Lotus japonicus colonization of Japan

Niraj Shah, Tomomi Wakabayashi, Yasuko Kawamura, Cathrine Kiel Skovbjerg, Ming Zhuo Wang, Yusdar Mustamin, Yoshiko Isomura, Vikas Gupta, Haojie Jin, Terry Mun, Niels Sandal, Fuyuki Azuma, Eigo Fukai, Ümit Seren, Shohei Kusakabe, Yuki Kikuchi, Shogo Nitanda, Takashi Kumaki, Masatsugu Hashiguchi, Hidenori TanakaAtsushi Hayashi, Mads Sønderkær, Kaare Lehmann Nielsen, Korbinian Schneeberger, Bjarni Vilhjalmsson, Ryo Akashi, Jens Stougaard, Shusei Sato, Mikkel Heide Schierup, Stig Uggerhøj Andersen

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Colonization of new habitats is expected to require genetic adaptations to overcome environmental challenges. Here, we use full genome re-sequencing and extensive common garden experiments to investigate demographic and selective processes associated with colonization of Japan by Lotus japonicus over the past ~20,000 years. Based on patterns of genomic variation, we infer the details of the colonization process where L. japonicus gradually spread from subtropical conditions to much colder climates in northern Japan. We identify genomic regions with extreme genetic differentiation between northern and southern subpopulations and perform population structure-corrected association mapping of phenotypic traits measured in a common garden. Comparing the results of these analyses, we find that signatures of extreme subpopulation differentiation overlap strongly with phenotype association signals for overwintering and flowering time traits. Our results provide evidence that these traits were direct targets of selection during colonization and point to associated candidate genes.

Original languageEnglish
Article number253
JournalNature communications
Volume11
Issue number1
DOIs
Publication statusPublished - 2020 Jan 14

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

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