Identification of novel genomic regions associated with yield-related traits in cowpea (Vigna unguiculata [L.] Walp) landraces

豇豆(Vigna unguiculata [L.] Walp)地方品种中与产量相关性状相关的新基因组区域的鉴定

阅读:2

Abstract

Cowpea is an important multipurpose legume crop that used for food, feed and vegetable worldwide. Developing the high yield cultivars is the first target in cowpea breeding, however, the genetic basis of this complex trait is not yet well understood. To discover the genetic architecture of cowpea yield, a total of 215 cowpea landraces collected from Zhejiang Province were evaluated for four yield-related traits including branch number per plant (BNP), grain number per pod (GNP), pod length (PL), and pod number per plant (PNP). By resequencing this diversity panel, total of 3,880,169 high-confidence single nucleotide polymorphisms (SNPs) were identified, population structure analysis showed that these cowpea landraces were classified into four subpopulations and the subpopulation division was highly related to the pod length and pod-type. Through conducting a GWAS on the four traits, 24 genomic regions significantly associated with cowpea yield were detected and haplotype analysis showed the favorable genotypes of each locus has stronger genetic effect on the yield-related traits. Based on the cowpea G98 reference genome, six predicated genes (VuG9806G022730, VuG9809G015960, VuG9801G022820, VuG9801G008990, VuG9801G016500, VuG9807G013020) were identified as the likely candidate genes for BNP_6.2, BNP_9.1, GNP_1.1, PL_1.1, PNP_1.2 and PNP_7.1, respectively, which involving in multiple pathways such as auxin response and regulation, cell expansion and ovary development. These results will facilitate the molecular breeding of high yield cultivars in cowpea and benefit for improving the global food security and the nutritional structure of human diets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11032-025-01585-x.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。