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Meta-analysis of Yield QTLs Derived from Inter-specific Crosses of Rice Reveals Consensus Regions and Candidate Genes

机译:水稻种间杂交获得的产量QTL的Meta分析揭示了共有区域和候选基因

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Several reports on mapping and introgression of quantitative trait loci (QTLs) for yield and related traits from wild species showed their importance in yield improvement. The aim of this study was to locate common major effect, consistent and precise yield QTLs across the wild species of rice by applying genome-wide QTL meta-analysis for their use in marker-aided selection (MAS) and candidate gene identification. Seventy-six yield QTLs reported in 11 studies involving inter-specific crosses were projected on a consensus map consisting of 699 markers. The integration of 11 maps resulted in a consensuses map of 1,676 cM. The number of markers ranged from 32 on chromosome 12 to 96 on chromosome 1. The order of markers between consensus map and original map was generally consistent. Meta-analysis of 68 yield QTLs resulted in 23 independent meta-QTLs on ten different chromosomes. Eight meta-QTLs were less than 1.3 Mb. The smallest confidence interval of a meta-QTL (MQTL) was 179.6 kb. Four MQTLs were around 500 kb and two of these correspond to a reasonably small genetic distance 4.6 and 5.2 cM, respectively, and suitable for MAS. MQTL8.2 was 326-kb long with a 35-cM interval indicating it was in a recombination hot spot and suitable for fine mapping. Our results demonstrate the narrowing down of initial yield QTLs by Meta-analysis and thus enabling short listing of QTLs worthy of MAS or fine mapping. The candidate genes shortlisted are useful in validating their function either by loss of function or over expression.
机译:关于野生植物产量和相关性状的数量性状基因座(QTL)定位和渗入的几份报告显示了它们在提高产量中的重要性。这项研究的目的是通过应用全基因组QTL荟萃分析将其用于标记辅助选择(MAS)和候选基因鉴定,从而在水稻的野生物种中找到共同的主要效应,一致且精确的产量QTL。在11个涉及种间杂交的研究中报告的76个产量QTLs投影在由699个标记组成的共有图上。 11张地图的整合产生了1,676 cM的共识地图。标记的数量从12号染色体上的32个到1号染色体上的96个不等。在共有图谱和原始图谱之间的标记顺序通常是一致的。对68个产量QTL的荟萃分析在10个不同的染色体上产生了23个独立的meta-QTL。八个meta-QTL小于1.3 Mb。 meta-QTL(MQTL)的最小置信区间为179.6 kb。四个MQTL约为500 kb,其中两个分别对应一个合理的小遗传距离4.6和5.2 cM,适用于MAS。 MQTL8.2长326-kb,间隔35-cM,表明它在重组热点中,适合精细定位。我们的结果表明,通过荟萃分析可以缩小初始产量QTL的范围,从而使值得MAS或精细定位的QTL简短列出。入围的候选基因可用于通过丧失功能或过度表达来验证其功能。

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