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The patterns of deleterious mutations during the domestication of soybean

  • Myung Shin Kim
  • , Roberto Lozano
  • , Ji Hong Kim
  • , Dong Nyuk Bae
  • , Sang Tae Kim
  • , Jung Ho Park
  • , Man Soo Choi
  • , Jaehyun Kim
  • , Hyun Choong Ok
  • , Soo Kwon Park
  • , Michael A. Gore
  • , Jung Kyung Moon
  • , Soon Chun Jeong
  • Korea Research Institute of Bioscience and Biotechnology
  • Seoul National University
  • Cornell University
  • Rural Development Administration

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

Globally, soybean is a major protein and oil crop. Enhancing our understanding of the soybean domestication and improvement process helps boost genomics-assisted breeding efforts. Here we present a genome-wide variation map of 10.6 million single-nucleotide polymorphisms and 1.4 million indels for 781 soybean individuals which includes 418 domesticated (Glycine max), 345 wild (Glycine soja), and 18 natural hybrid (G. max/G. soja) accessions. We describe the enhanced detection of 183 domestication-selective sweeps and the patterns of putative deleterious mutations during domestication and improvement. This predominantly selfing species shows 7.1% reduction of overall deleterious mutations in domesticated soybean relative to wild soybean and a further 1.4% reduction from landrace to improved accessions. The detected domestication-selective sweeps also show reduced levels of deleterious alleles. Importantly, genotype imputation with this resource increases the mapping resolution of genome-wide association studies for seed protein and oil traits in a soybean diversity panel.

Original languageEnglish
Article number97
JournalNature Communications
Volume12
Issue number1
DOIs
StatePublished - 1 Dec 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

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