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Article

Development of SNP-based high-density genetic map and gene mapping of pod colour trait in Cowpea (Vigna unguiculata L. Walp.)

, , , , , , , , & ORCID Icon show all
Pages 87-94 | Accepted 15 Jul 2020, Published online: 14 Sep 2020
 

ABSTRACT

The colour of fresh pods is one of the most important traits that affects the commercial value of cowpea (Vigna unguiculata) beans. To investigate the genetic architecture, we firstly scored the fresh pod colour of cowpea for six generations in field trials. Afterwards, an F2 population of 150 recombinant individuals was derived from crosses between two high-generation inbred cowpea lines, ‘Baojia’ (green pod colour, P1) and ‘Qilong’ (purple pod colour, P2). Ahigh-density genetic map based on 9,493 single nucleotide polymorphisms was constructed through SLAF sequencing and used for gene/s mapping of pod colour trait. We observed 59 single nucleotide polymorphism markers in one candidate gene region that may be associated with fresh pod colour trait located on LG6. The locus of pc was confirmed on chromosome 5 of the cowpea genome, which was corresponded to the genes encoding anthocyanin 5-aromatic acyltransferase and MYB-90 and MYB-114 domain proteins, that play important roles in the anthocyanin biosynthesis. Lastly, dCAPS markers were developed that explained the high rate of identification for the phenotypes of the F2 population. This study provides new knowledge of the genomic regions and will accelerate the genetic improvements, regarding the fresh pod colour (pc) trait in cowpea and marker-assisted selection.

Authors’ contributions

LG, WA and YZ designed the research; LG, JG, WL, TL, MF, and YZ performed the experiments; WA, LG, and DX analyzed the data; LG, WA and YZ wrote the manuscript; WA edited the manuscript; LG finalized the manuscript. All authors read and approved the final manuscript.

Disclosure statement

The authors declare that they have no competing interests.

Additional information

Funding

This research was funded by the Guangdong Science and Technology Foundation [Project Numbers: 2017B030314111 and 2020B020220002]; The special fund for scientific innovation strategy-construction of high level Academy of Agriculture Science [Project Number: 2017PY-QY002], and Guangdong Academy of Agricultural Sciences Foundation of the Dean Project [Project 2018-16B].

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