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利用 SNP 标记进行水稻(L.)产量及产量相关性状的全基因组关联分析。

Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice ( L.) Using SNPs Markers.

机构信息

Department of Plant Breeding and Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore 54590, Pakistan.

Department of Genetics, College of Life Sciences, Wuhan University, Wuhan 430072, China.

出版信息

Genes (Basel). 2023 May 15;14(5):1089. doi: 10.3390/genes14051089.

Abstract

Rice ( L.) is a staple food for more than 50% of the world's population. Rice cultivar improvement is critical in order to feed the world's growing population. Improving yield is one of the main aims of rice breeders. However, yield is a complex quantitative trait controlled by many genes. The presence of genetic diversity is the key factor to improve the yield hence, the presence of diversity in any germplasm is important for yield improvement. In the current study, the rice germplasm was collected from Pakistan and the United States of America and a panel of 100 diverse genotypes was utilized to identify important yield and yield-related traits. For this, a genome-wide association study (GWAS) was performed to identify the genetic loci related to yield. The GWAS on the diverse germplasm will lead to the identification of new genes which can be utilized in the breeding program for improvement of yield. For this reason, firstly, the germplasm was phenotypically evaluated in two growing seasons for yield and yield-related traits. The analysis of variance results showed significant differences among traits which showed the presence of diversity in the current germplasm. Secondly, the germplasm was also genotypically evaluated using 10K SNP. Genetic structure analysis showed the presence of four groups which showed that enough genetic diversity was present in the rice germplasm to be used for association mapping analysis. The results of GWAS identified 201 significant marker trait associations (MTAs. 16 MTAs were identified for plant height, 49 for days to flowering, three for days to maturity, four for tillers per plant, four for panicle length, eight for grains per panicle, 20 unfilled grains per panicle, 81 for seed setting %, four for thousand-grain weight, five for yield per plot and seven for yield per hectare. Apart from this, some pleiotropic loci were also identified. The results showed that panicle length (PL) and thousand-grain weight (TGW) were controlled by a pleiotropic locus OsGRb23906 on chromosome 1 at 10,116,371 cM. The loci OsGRb25803 and OsGRb15974 on chromosomes 4 and 8 at the position of 14,321,111 cM and 6,205,816 cM respectively, showed pleiotropic effects for seed setting % (SS) and unfilled grain per panicle (UG/P). A locus OsGRb09180 on chromosome 4 at 19,850,601 cM was significantly linked with SS and yield/ha. Furthermore, gene annotation was performed, and results indicated that the 190 candidate genes or QTLs that closely linked with studied traits. These candidate genes and novel significant markers could be useful in marker-assisted gene selection and QTL pyramiding to improve rice yield and the selection of potential parents, recombinants and MTAs which could be used in rice breeding programs to develop high-yielding rice varieties for sustainable food security.

摘要

水稻(L.)是世界上超过 50%人口的主食。为了养活世界上不断增长的人口,改进水稻品种至关重要。提高产量是水稻育种者的主要目标之一。然而,产量是由许多基因控制的复杂数量性状。遗传多样性的存在是提高产量的关键因素,因此,任何种质资源中的多样性对于产量的提高都很重要。在当前的研究中,从巴基斯坦和美国收集了水稻种质资源,并利用 100 个不同的基因型进行了鉴定,以确定重要的产量和产量相关性状。为此,进行了全基因组关联研究(GWAS),以鉴定与产量相关的遗传位点。对不同种质资源进行 GWAS 将有助于鉴定新基因,可用于提高产量的育种计划。出于这个原因,首先,在两个生长季节对种质资源进行了产量和产量相关性状的表型评估。方差分析结果表明,各性状之间存在显著差异,表明当前种质资源中存在多样性。其次,还使用 10K SNP 对种质资源进行了基因型评估。遗传结构分析表明存在四个群体,这表明水稻种质资源中存在足够的遗传多样性,可用于关联作图分析。GWAS 的结果确定了 201 个显著的标记-性状关联(MTAs。16 个 MTAs 与株高有关,49 个与开花期有关,3 个与成熟期有关,4 个与每株分蘖数有关,4 个与穗长有关,8 个与每穗粒数有关,20 个与每穗未成熟粒数有关,81 个与结实率有关,4 个与千粒重有关,5 个与每块产量有关,7 个与每公顷产量有关。除此之外,还鉴定了一些多效性位点。结果表明,穗长(PL)和千粒重(TGW)受位于第 1 号染色体 10,116,371 cM 处的多效性基因 OsGRb23906 控制。位于第 4 号和第 8 号染色体上的 OsGRb25803 和 OsGRb15974 位置分别为 14,321,111 cM 和 6,205,816 cM,对结实率(SS)和每穗未成熟粒数(UG/P)表现出多效性效应。位于第 4 号染色体上的 OsGRb09180 位置为 19,850,601 cM,与 SS 和每公顷产量显著相关。此外,还进行了基因注释,结果表明,190 个候选基因或与研究性状紧密连锁的 QTLs。这些候选基因和新的显著标记可用于标记辅助基因选择和 QTL 聚合,以提高水稻产量,并选择潜在的亲本、重组体和 MTAs,可用于水稻育种计划,以开发高产水稻品种,实现可持续粮食安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9587/10218429/397450e72dfb/genes-14-01089-g001.jpg

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