Comprehensive genomic analyses of Vigna unguiculata provide insights into population differentiation and the genetic basis of key agricultural traits.

Publication Overview
TitleComprehensive genomic analyses of Vigna unguiculata provide insights into population differentiation and the genetic basis of key agricultural traits.
AuthorsPan L, Liu M, Kang Y, Mei X, Hu G, Bao C, Zheng Y, Zhao H, Chen C, Wang N
TypeJournal Article
Journal NamePlant biotechnology journal
Year2023
CitationPan L, Liu M, Kang Y, Mei X, Hu G, Bao C, Zheng Y, Zhao H, Chen C, Wang N. Comprehensive genomic analyses of Vigna unguiculata provide insights into population differentiation and the genetic basis of key agricultural traits.. Plant biotechnology journal. 2023 Mar 25.

Abstract

Vigna unguiculata is an important vegetable crop worldwide. The subsp. sesquipedalis and unguiculata are the two major types grown; the former is mainly grown in Asia to produce fresh pods, while the latter is mainly grown in Africa to produce seeds. Here, a chromosome-scale genome for subsp. sesquipedalis was generated by combining high-fidelity (HiFi) long-read sequencing with high-throughput chromosome conformation capture (Hi-C) technology. The genome size for all contigs and N50 were 594 and 18.5 Mb, respectively. The Hi-C interaction map helped cluster 91% of the contigs into 11 chromosomes. Genome comparisons between subsp. sesquipedalis and unguiculata revealed extensive genomic variations, and some variations resulted in gene loss. A germplasm panel with 315 accessions of V. unguiculata was resequenced, and a genomic variation map was constructed. Population structure and phylogenetic analyses suggested that subsp. sesquipedalis originated from subsp. unguiculata. Highly differentiated genomic regions were also identified, and a number of genes functionally enriched in adaptations were located in these regions. Two traits, pod length (PL) and pod width (PW), were observed for this germplasm, and genome-wide association analysis of these traits was performed. The quantitative trait loci (QTLs) for these two traits were identified, and their candidate genes were uncovered. Interestingly, genomic regions of PL QTLs also showed strong signals of artificial selection. Taken together, the results of this study provide novel insights into the population differentiation and genetic basis of key agricultural traits in V. unguiculata.

Properties
Additional details for this publication include:
Property NameValue
Publication ModelPrint-Electronic
ISSN1467-7652
eISSN1467-7652
Publication Date2023 Mar 25
Journal AbbreviationPlant Biotechnol J
DOI10.1111/pbi.14047
Elocation10.1111/pbi.14047
CopyrightThis article is protected by copyright. All rights reserved.
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryEngland