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巴西普通菜豆(Phaseolus vulgaris L.)生物气候变量的基因组-环境关联分析

Genome-Environment Association Analysis for Bio-Climatic Variables in Common Bean ( L.) from Brazil.

作者信息

Elias Júlio Cesar F, Gonçalves-Vidigal Maria Celeste, Ariani Andrea, Valentini Giseli, Martiniano-Souza Maria da Conceição, Vaz Bisneta Mariana, Gepts Paul

机构信息

Departamento de Agronomia, Universidade Estadual de Maringá-UEM, Av. Colombo 5790, Maringá 87020-900, Brazil.

BASF BBCC-Innovation Center, 9052 Gent, Belgium.

出版信息

Plants (Basel). 2021 Jul 30;10(8):1572. doi: 10.3390/plants10081572.

DOI:10.3390/plants10081572
PMID:34451617
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8399474/
Abstract

Abiotic stress is a limiting factor for common bean () production globally. The study of the genotypic, phenotypic, and bio-climatic variables in a broad set of accessions may assist the identification of genomic regions involved in the climatic adaptation of the common bean. We conducted a genotyping-by-sequencing analysis using 28,823 SNPs on 110 georeferenced common bean accessions from Brazil to discover associations between SNPs and bio-climatic indexes. The population structure analysis clustered the accessions into two groups corresponding to the Andean and Mesoamerican gene pools. Of the 19 bioclimatic variables, 17 exhibited a significant association with SNPs on chromosomes Pv01, Pv02, Pv03, Pv04, Pv06, Pv09, Pv10, and Pv11 of common bean. Ten candidate genes were associated with specific bio-climatic variables related to temperature and precipitation. The candidate genes associated with this significant Pv09 region encode a Platz transcription factor family protein previously reported to be an essential regulator of drought stress. The SNP markers and candidate genes associated with the bio-climatic variables should be validated in segregating populations for water stress, which could further be used for marker-assisted selection. As a result, bean breeding programs may be able to provide advances in obtaining drought-tolerant cultivars.

摘要

非生物胁迫是全球普通菜豆()生产的限制因素。对大量种质资源的基因型、表型和生物气候变量进行研究,可能有助于识别普通菜豆气候适应性相关的基因组区域。我们对来自巴西的110份地理定位的普通菜豆种质进行了基因分型测序分析,使用了28,823个单核苷酸多态性(SNP)来发现SNP与生物气候指标之间的关联。群体结构分析将这些种质聚类为两组,分别对应安第斯和中美洲基因库。在19个生物气候变量中,有17个与普通菜豆染色体Pv01、Pv02、Pv03、Pv04、Pv06、Pv09、Pv10和Pv11上的SNP表现出显著关联。10个候选基因与与温度和降水相关的特定生物气候变量有关。与这个显著的Pv09区域相关的候选基因编码一种Platz转录因子家族蛋白,此前报道该蛋白是干旱胁迫的重要调节因子。与生物气候变量相关的SNP标记和候选基因应在水分胁迫分离群体中进行验证,这可进一步用于标记辅助选择。因此,菜豆育种计划或许能够在培育耐旱品种方面取得进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/0587c825916e/plants-10-01572-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/30b1e55ea3f9/plants-10-01572-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/30b9007248f0/plants-10-01572-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/2aa0b2a2eb6c/plants-10-01572-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/0587c825916e/plants-10-01572-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/30b1e55ea3f9/plants-10-01572-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/30b9007248f0/plants-10-01572-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/2aa0b2a2eb6c/plants-10-01572-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89ad/8399474/0587c825916e/plants-10-01572-g004.jpg

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