A comprehensive meta QTL analysis for fiber quality, yield, yield related and morphological traits, drought tolerance, and disease resistance in tetraploid cotton.
A comprehensive meta QTL analysis for fiber quality, yield, yield related and morphological traits, drought tolerance, and disease resistance in tetraploid cotton.
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DOI：
10.1186/1471-2164-14-776
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发表时间：
2013-11-11
期刊：
影响因子：
4.4
通讯作者：
Zhang J
中科院分区：
文献类型：
--
作者：
Said JI;Lin Z;Zhang X;Song M;Zhang J
棉花（Gossypium spp.）关注的是具有农业意义的性状。以往的研究已经发现了大量的QTL，这些QTL与纤维品质、抗病性和抗虫性、分支数、种子质量和产量以及产量相关性状、耐旱性和形态性状有关。然而，由于使用不同的遗传群体、标记和标记密度以及测试环境，这些研究的结果不同。自从两次纤维性状的元QTL分析以来，有关纤维品质、产量性状、形态性状和抗病性的QTL定位的研究已发表了大量的论文。为了更好地了解QTL的全基因组分布，并确定一致的QTL标记辅助育种在棉花，一个更新的比较QTL分析是必要的。本研究利用Biomercator V3软件对42个棉花QTL研究中的1,223个QTL进行了定位。首先使用人工推断进行荟萃分析，并通过Biomercator V3确认，以鉴定可能的QTL簇和热点。QTL簇是由多个性状的QTL集中在染色体上的一个特定区域组成的，而热点只由一个性状类型组成。QTL在棉花基因组上沿着分布不均匀，集中在每条染色体上的特定区域。纤维品质性状的QTL热点也出现在与聚类相同的区域，表明聚类也可能形成热点。通过荟萃分析确定了可能的QTL簇，这将有助于育种计划和未来的研究涉及棉花QTL。QTL簇和热点的存在表明了在栽培的四倍体棉属物种、环境和群体中的共有区域，其含有大量QTL，并且在某些情况下与称为热点的相同性状相关的多个QTL。这项研究结合了以前的两项荟萃分析研究，并增加了所有其他目前可用的QTL研究，使其成为迄今为止最全面的棉花荟萃分析研究。
The study of quantitative trait loci (QTL) in cotton (Gossypium spp.) is focused on traits of agricultural significance. Previous studies have identified a plethora of QTL attributed to fiber quality, disease and pest resistance, branch number, seed quality and yield and yield related traits, drought tolerance, and morphological traits. However, results among these studies differed due to the use of different genetic populations, markers and marker densities, and testing environments. Since two previous meta-QTL analyses were performed on fiber traits, a number of papers on QTL mapping of fiber quality, yield traits, morphological traits, and disease resistance have been published. To obtain a better insight into the genome-wide distribution of QTL and to identify consistent QTL for marker assisted breeding in cotton, an updated comparative QTL analysis is needed. In this study, a total of 1,223 QTL from 42 different QTL studies in Gossypium were surveyed and mapped using Biomercator V3 based on the Gossypium consensus map from the Cotton Marker Database. A meta-analysis was first performed using manual inference and confirmed by Biomercator V3 to identify possible QTL clusters and hotspots. QTL clusters are composed of QTL of various traits which are concentrated in a specific region on a chromosome, whereas hotspots are composed of only one trait type. QTL were not evenly distributed along the cotton genome and were concentrated in specific regions on each chromosome. QTL hotspots for fiber quality traits were found in the same regions as the clusters, indicating that clusters may also form hotspots. Putative QTL clusters were identified via meta-analysis and will be useful for breeding programs and future studies involving Gossypium QTL. The presence of QTL clusters and hotspots indicates consensus regions across cultivated tetraploid Gossypium species, environments, and populations which contain large numbers of QTL, and in some cases multiple QTL associated with the same trait termed a hotspot. This study combines two previous meta-analysis studies and adds all other currently available QTL studies, making it the most comprehensive meta-analysis study in cotton to date.
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5.4
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通讯作者：
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