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通过全基因组关联作图对四倍体小麦群体中产量构成因素之间的关系进行遗传剖析。

Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats.

作者信息

Mangini Giacomo, Gadaleta Agata, Colasuonno Pasqualina, Marcotuli Ilaria, Signorile Antonio M, Simeone Rosanna, De Vita Pasquale, Mastrangelo Anna M, Laidò Giovanni, Pecchioni Nicola, Blanco Antonio

机构信息

Department of Soil, Plant & Food Sciences, Genetics and Plant Breeding Section, University Aldo Moro, Bari, Italy.

Department of Agricultural & Environmental Science, Research Unit of "Genetics and Plant Biotechnology", University Aldo Moro, Bari, Italy.

出版信息

PLoS One. 2018 Jan 11;13(1):e0190162. doi: 10.1371/journal.pone.0190162. eCollection 2018.

Abstract

Increasing grain yield potential in wheat has been a major target of most breeding programs. Genetic advance has been frequently hindered by negative correlations among yield components that have been often observed in segregant populations and germplasm collections. A tetraploid wheat collection was evaluated in seven environments and genotyped with a 90K SNP assay to identify major and stable quantitative trait loci (QTL) for grain yield per spike (GYS), kernel number per spike (KNS) and thousand-kernel weight (TKW), and to analyse the genetic relationships between the yield components at QTL level. The genome-wide association analysis detected eight, eleven and ten QTL for KNS, TKW and GYS, respectively, significant in at least three environments or two environments and the mean across environments. Most of the QTL for TKW and KNS were found located in different marker intervals, indicating that they are genetically controlled independently by each other. Out of eight KNS QTL, three were associated to significant increases of GYS, while the increased grain number of five additional QTL was completely or partially compensated by decreases in grain weight, thus producing no or reduced effects on GYS. Similarly, four consistent and five suggestive TKW QTL resulted in visible increase of GYS, while seven additional QTL were associated to reduced effects in grain number and no effects on GYS. Our results showed that QTL analysis for detecting TKW or KNS alleles useful for improving grain yield potential should consider the pleiotropic effects of the QTL or the association to other QTLs.

摘要

提高小麦产量潜力一直是大多数育种计划的主要目标。在分离群体和种质资源库中,产量构成因素之间的负相关常常阻碍遗传进展。对一个四倍体小麦群体在7种环境下进行了评估,并使用90K SNP分析进行基因分型,以鉴定每穗粒数(GYS)、每穗粒数(KNS)和千粒重(TKW)的主要和稳定数量性状位点(QTL),并在QTL水平上分析产量构成因素之间的遗传关系。全基因组关联分析分别检测到8个、11个和10个与KNS、TKW和GYS相关的QTL,这些QTL在至少3种环境或2种环境以及环境均值中显著。大多数与TKW和KNS相关的QTL位于不同的标记区间,表明它们在遗传上相互独立控制。在8个与KNS相关的QTL中,有3个与GYS的显著增加相关,而另外5个QTL增加的粒数被粒重下降完全或部分补偿,因此对GYS没有影响或影响降低。同样,4个一致的和5个暗示性的与TKW相关的QTL导致GYS明显增加,而另外7个QTL与粒数减少相关且对GYS没有影响。我们的结果表明,用于检测对提高产量潜力有用的TKW或KNS等位基因的QTL分析应考虑QTL的多效性效应或与其他QTL的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a06/5764242/1cd6d9a3205b/pone.0190162.g001.jpg

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