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全基因组关联研究和普通菜豆核心收集物对枯萎病抗性的基因组预测。

Genome-Wide Association Study and Genomic Prediction of Fusarium Wilt Resistance in Common Bean Core Collection.

机构信息

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

Department of Entomology and Plant Pathology, University of Arkansas, Fayetteville, AR 72701, USA.

出版信息

Int J Mol Sci. 2023 Oct 18;24(20):15300. doi: 10.3390/ijms242015300.

Abstract

The common bean ( L.) is a globally cultivated leguminous crop. Fusarium wilt (FW), caused by f. sp. (), is a significant disease leading to substantial yield loss in common beans. Disease-resistant cultivars are recommended to counteract this. The objective of this investigation was to identify single nucleotide polymorphism (SNP) markers associated with FW resistance and to pinpoint potential resistant common bean accessions within a core collection, utilizing a panel of 157 accessions through the Genome-wide association study (GWAS) approach with TASSEL 5 and GAPIT 3. Phenotypes for race 1 and race 4 were matched with genotypic data from 4740 SNPs of BARCBean6K_3 Infinium Bea Chips. After ranking the 157-accession panel and revealing 21 Fusarium wilt-resistant accessions, the GWAS pinpointed 16 SNPs on chromosomes Pv04, Pv05, Pv07, Pv8, and Pv09 linked to race 1 resistance, 23 SNPs on chromosomes Pv03, Pv04, Pv05, Pv07, Pv09, Pv10, and Pv11 associated with race 4 resistance, and 7 SNPs on chromosomes Pv04 and Pv09 correlated with both race 1 and race 4 resistances. Furthermore, within a 30 kb flanking region of these associated SNPs, a total of 17 candidate genes were identified. Some of these genes were annotated as classical disease resistance protein/enzymes, including NB-ARC domain proteins, Leucine-rich repeat protein kinase family proteins, zinc finger family proteins, P-loopcontaining nucleoside triphosphate hydrolase superfamily, etc. Genomic prediction (GP) accuracy for race resistances ranged from 0.26 to 0.55. This study advanced common bean genetic enhancement through marker-assisted selection (MAS) and genomic selection (GS) strategies, paving the way for improved resistance.

摘要

菜豆是一种全球广泛种植的豆科作物。由 f. sp. 引起的枯萎病(FW)是一种严重的病害,会导致菜豆产量大幅下降。建议使用抗病品种来对抗这种病害。本研究的目的是鉴定与 FW 抗性相关的单核苷酸多态性(SNP)标记,并利用核心群体中的 157 个群体通过全基因组关联研究(GWAS)方法利用 TASSEL 5 和 GAPIT 3 来确定潜在的抗病菜豆群体。通过匹配 157 个群体的表型和 4740 个 SNP 的基因型数据,发现 21 个对 1 号和 4 号小种具有抗性的菜豆群体。在对 157 个群体进行排名并揭示 21 个抗枯萎病的群体后,GWAS 确定了 16 个位于 Pv04、Pv05、Pv07、Pv8 和 Pv09 染色体上与 1 号小种抗性相关的 SNP,23 个位于 Pv03、Pv04、Pv05、Pv07、Pv09、Pv10 和 Pv11 染色体上与 4 号小种抗性相关的 SNP,以及 7 个位于 Pv04 和 Pv09 染色体上与 1 号和 4 号小种抗性相关的 SNP。此外,在这些相关 SNP 的 30kb 侧翼区域内,共鉴定出 17 个候选基因。其中一些基因被注释为经典的抗病蛋白/酶,包括 NB-ARC 结构域蛋白、富含亮氨酸重复蛋白激酶家族蛋白、锌指家族蛋白、P 环核苷酸三磷酸水解酶超家族等。对 1 号和 4 号小种抗性的基因组预测(GP)准确性范围为 0.26 至 0.55。本研究通过标记辅助选择(MAS)和基因组选择(GS)策略推进了菜豆的遗传改良,为提高抗性铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9433/10607830/0393d92ed5cf/ijms-24-15300-g001.jpg

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