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

Author:

Xiong Haizheng1,Chen Yilin1ORCID,Ravelombola Waltram2,Mou Beiquan3,Sun Xiaolun4ORCID,Zhang Qingyang5,Xiao Yiting6,Tian Yang7ORCID,Luo Qun1,Alatawi Ibtisam1,Chiwina Kenani Edward1,Alkabkabi Hanan Mohammedsaeed1,Shi Ainong1ORCID

Affiliation:

1. Department of Horticulture, University of Arkansas, Fayetteville, AR 72701, USA

2. Texas A&M AgriLife Research, 11708 Highway 70 South, Vernon, TX 76384, USA

3. Sam Farr U.S. Crop Improvement and Protection Research Center, U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Salinas, CA 93905, USA

4. Department of Poultry Science & The Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA

5. Mathematical Sciences, University of Arkansas, Fayetteville, AR 72701, USA

6. Biological Engineering, University of Arkansas, Fayetteville, AR 72701, USA

7. Program of Material Science and Engineering, Fayetteville, AR 72701, USA

Abstract

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.

Funder

USDA Crop Germplasm Committees program for Vigna germplasm evaluation

USDA National Institute of Food and Agriculture Hatch project accession

Publisher

MDPI AG

Reference73 articles.

1. Cowpea (Vigna unguiculata L. Walp.);Ehlers;Field Crop. Res.,1997

2. Production Constraints and Breeding Approaches for Cowpea Improvement for Drought Prone Agro-Ecologies in Sub-Saharan Africa;Horn;Ann. Agric. Sci.,2020

3. Fatokun, C., Tarawali, S., Singh, B., and Kormawa, P. (2002). Challenges and Opportunities for Enhancing Sustainable Cowpea Production, ITAA.

4. Inheritanceof Seed Coat Colour Pattern in Cowpea [Vigna unguiculata (L) Walp.];Mustapha;Bayero J. Pure Appl. Sci.,2009

5. Cowpea: An Overview on Its Nutritional Facts and Health Benefits;Jayathilake;J. Sci. Food Agric.,2018

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