Plants (May 2024)

Genetic Dissection of Diverse Seed Coat Patterns in Cowpea through a Comprehensive GWAS Approach

  • Haizheng Xiong,
  • Yilin Chen,
  • Waltram Ravelombola,
  • Beiquan Mou,
  • Xiaolun Sun,
  • Qingyang Zhang,
  • Yiting Xiao,
  • Yang Tian,
  • Qun Luo,
  • Ibtisam Alatawi,
  • Kenani Edward Chiwina,
  • Hanan Mohammedsaeed Alkabkabi,
  • Ainong Shi

DOI
https://doi.org/10.3390/plants13091275
Journal volume & issue
Vol. 13, no. 9
p. 1275

Abstract

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This study investigates the genetic determinants of seed coat color and pattern variations in cowpea (Vigna unguiculata), employing a genome-wide association approach. Analyzing a mapping panel of 296 cowpea varieties with 110,000 single nucleotide polymorphisms (SNPs), we focused on eight unique coat patterns: (1) Red and (2) Cream seed; (3) White and (4) Brown/Tan seed coat; (5) Pink, (6) Black, (7) Browneye and (8) Red/Brown Holstein. Across six GWAS models (GLM, SRM, MLM, MLMM, FarmCPU from GAPIT3, and TASSEL5), 13 significant SNP markers were identified and led to the discovery of 23 candidate genes. Among these, four specific genes may play a direct role in determining seed coat pigment. These findings lay a foundational basis for future breeding programs aimed at creating cowpea varieties aligned with consumer preferences and market requirements.

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