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绿豆(威尔茨克)物候和农艺性状的全基因组关联研究。

Genome-wide association studies for phenological and agronomic traits in mungbean ( L. Wilczek).

作者信息

Manjunatha P B, Aski Muraleedhar S, Mishra Gyan Prakash, Gupta Soma, Devate Narayana Bhat, Singh Akanksha, Bansal Ruchi, Kumar Shiv, Nair Ramakrishnan Madhavan, Dikshit Harsh Kumar

机构信息

Division of Genetics, ICAR- Indian Agricultural Research Institute, New Delhi, India.

Amity Institute of Organic Agriculture, Amity University, Noida, India.

出版信息

Front Plant Sci. 2023 Sep 22;14:1209288. doi: 10.3389/fpls.2023.1209288. eCollection 2023.

DOI:10.3389/fpls.2023.1209288
PMID:37810385
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10558178/
Abstract

Mungbean ( L. Wilczek) is one of the important warm-season food legumes, contributing substantially to nutritional security and environmental sustainability. The genetic complexity of yield-associated agronomic traits in mungbean is not well understood. To dissect the genetic basis of phenological and agronomic traits, we evaluated 153 diverse mungbean genotypes for two phenological (days to heading and days to maturity) and eight agronomic traits (leaf nitrogen status using SPAD, plant height, number of primary branches, pod length, number of pods per plant, seeds per pod, 100-seed weight, and yield per plant) under two environmental conditions. A wide array of phenotypic variability was apparent among the studied genotypes for all the studied traits. The broad sense of heritability of traits ranged from 0.31 to 0.95 and 0.21 to 0.94 at the Delhi and Ludhiana locations, respectively. A total of 55,634 genome-wide single nucleotide polymorphisms (SNPs) were obtained by the genotyping-by-sequencing method, of which 15,926 SNPs were retained for genome-wide association studies (GWAS). GWAS with Bayesian information and linkage-disequilibrium iteratively nested keyway (BLINK) model identified 50 SNPs significantly associated with phenological and agronomic traits. In total, 12 SNPs were found to be significantly associated with phenological traits across environments, explaining 7%-18.5% of phenotypic variability, and 38 SNPs were significantly associated with agronomic traits, explaining 4.7%-27.6% of the phenotypic variability. The maximum number of SNPs (15) were located on chromosome 1, followed by seven SNPs each on chromosomes 2 and 8. The BLAST search identified 19 putative candidate genes that were involved in light signaling, nitrogen responses, phosphorus (P) transport and remobilization, photosynthesis, respiration, metabolic pathways, and regulating growth and development. Digital expression analysis of 19 genes revealed significantly higher expression of 12 genes, . , , , , , , , , , , , and in the roots, cotyledons, seeds, leaves, shoot apical meristems, and flowers. The identified SNPs and putative candidate genes provide valuable genetic information for fostering genomic studies and marker-assisted breeding programs that improve yield and agronomic traits in mungbean.

摘要

绿豆(Vigna radiata (L.) Wilczek)是重要的暖季食用豆类之一,对营养安全和环境可持续性做出了重大贡献。绿豆中与产量相关的农艺性状的遗传复杂性尚未得到充分了解。为了解析物候和农艺性状的遗传基础,我们在两种环境条件下评估了153种不同的绿豆基因型的两个物候性状(抽穗天数和成熟天数)和八个农艺性状(使用SPAD值测定的叶片氮含量、株高、一级分枝数、荚长、单株荚数、每荚种子数、百粒重和单株产量)。在所研究的所有性状中,各基因型间均表现出广泛的表型变异。在德里和卢迪亚纳两地,各性状的广义遗传力分别为0.31至0.95和0.21至0.94。通过简化基因组测序方法共获得了55,634个全基因组单核苷酸多态性(SNP),其中15,926个SNP被保留用于全基因组关联研究(GWAS)。采用贝叶斯信息和连锁不平衡迭代嵌套关键路径(BLINK)模型进行的GWAS鉴定出50个与物候和农艺性状显著相关的SNP。总共发现12个SNP在不同环境下均与物候性状显著相关,解释了7%-18.5%的表型变异,38个SNP与农艺性状显著相关,解释了4.7%-27.6%的表型变异。最多数量的SNP(15个)位于1号染色体上,其次是2号和8号染色体各有7个SNP。通过BLAST搜索鉴定出19个推定的候选基因,这些基因参与光信号传导、氮响应、磷(P)转运和再分配、光合作用、呼吸作用、代谢途径以及生长发育调控。对这19个基因的数字表达分析显示,其中12个基因,即……,在根、子叶、种子、叶、茎尖分生组织和花中表达显著更高。所鉴定出的SNP和推定的候选基因为促进基因组研究和标记辅助育种计划提供了有价值的遗传信息,有助于提高绿豆的产量和农艺性状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/4b023671a797/fpls-14-1209288-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/ffa310e547aa/fpls-14-1209288-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/abf6347dbf27/fpls-14-1209288-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/9c9577bf60db/fpls-14-1209288-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/372e5a06e3a0/fpls-14-1209288-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/a8e92f46c67b/fpls-14-1209288-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/4b023671a797/fpls-14-1209288-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/ffa310e547aa/fpls-14-1209288-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/abf6347dbf27/fpls-14-1209288-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/9c9577bf60db/fpls-14-1209288-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/372e5a06e3a0/fpls-14-1209288-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/a8e92f46c67b/fpls-14-1209288-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf7/10558178/4b023671a797/fpls-14-1209288-g006.jpg

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