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Long-read bitter gourd (Momordica charantia) genome and the genomic architecture of nonclassic domestication.

Hideo MatsumuraMin-Chien HsiaoYa-Ping LinAtsushi ToyodaNaoki TaniaiKazuhiko TaroraNaoya UrasakiShashi S AnandNarinder P S DhillonRoland SchafleitnerCheng-Ruei Lee
Published in: Proceedings of the National Academy of Sciences of the United States of America (2020)
The genetic architecture of quantitative traits is determined by both Mendelian and polygenic factors, yet classic examples of plant domestication focused on selective sweep of newly mutated Mendelian genes. Here we report the chromosome-level genome assembly and the genomic investigation of a nonclassic domestication example, bitter gourd (Momordica charantia), an important Asian vegetable and medicinal plant of the family Cucurbitaceae. Population resequencing revealed the divergence between wild and South Asian cultivars about 6,000 y ago, followed by the separation of the Southeast Asian cultivars about 800 y ago, with the latter exhibiting more extreme trait divergence from wild progenitors and stronger signs of selection on fruit traits. Unlike some crops where the largest phenotypic changes and traces of selection happened between wild and cultivar groups, in bitter gourd large differences exist between two regional cultivar groups, likely reflecting the distinct consumer preferences in different countries. Despite breeding efforts toward increasing female flower proportion, a gynoecy locus exhibits complex patterns of balanced polymorphism among haplogroups, with potential signs of selective sweep within haplogroups likely reflecting artificial selection and introgression from cultivars back to wild accessions. Our study highlights the importance to investigate such nonclassic example of domestication showing signs of balancing selection and polygenic trait architecture in addition to classic selective sweep in Mendelian factors.
Keyphrases
  • genome wide
  • copy number
  • dna methylation
  • genetic diversity
  • high resolution
  • healthcare
  • mass spectrometry
  • single molecule
  • risk assessment
  • gene expression
  • health information
  • human health
  • liquid chromatography