QTL analysis for fruit yield components in table grapes (Vitis vinifera)

QTL analysis for fruit yield components in table grapes (Vitis vinifera)
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DOI:
10.1007/s00122-005-2016-6
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发表时间:
2005-08-01
影响因子:
5.4
通讯作者:
Grando, MS
Grando, MS
中科院分区:
农林科学1区
文献类型:
--
作者:
Fanizza, G;Lamaj, F;Grando, MS

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利用欧亚种葡萄拟测交的184个分离群体,结合203个AFLP标记和110个SSR标记,对果实产量构成因素的数量性状基因座进行了检测。检测到不同的QTL,所检测到的QTL解释的表型变异百分比较低,以及QTL历年的不稳定性。这些结果证实了葡萄产量构成因素的复杂遗传结构,这是由于该物种的常年性,必须适应气候的年度变化。对果实产量构成因素进行了表型相关分析。通径系数分析表明,浆果重与每穗结果数之间的负相关似乎对簇重有间接的负相关,但这种负相关在分子水平上不被支持,因为在这些性状之间没有发现重合的QTL。然而,由于样本大小和遗传力等因素可能会影响鲜食葡萄的QTL鉴定,因此在不影响簇重的情况下选择大浆果的无核基因型的可能性还需要在未来的实验中得到证实。
A segregation population of 184 genotypes derived from a pseudo-testcross of table grapes (Vitis vinifera), together with 203 AFLP and 110 SSR markers was used to detect quantitative trait loci (QTLs) for fruit yield components. Diffferent QTLs, a low percentage of phenotypic variance explained by the QTLs detected and QTL instability over years were detected for each fruit yield component. These results confirm the complex genetic architecture of the yield components in grapevine due to the perennial nature of this species, which has to adapt to yearly variations in climate. Phenotypic correlation analyses between fruit yield components were also performed. The negative correlation between berry weight and the number of berries per cluster seems to have an indirect negative effect on cluster weight, as revealed by the path coefficient analysis; however, this negative correlation was not supported at the molecular level because no coincident QTLs were observed between these traits. Nonetheless, the possibility to select seedless genotypes with large berries without affecting cluster weight needs to be substantiated in future experiments because factors such as sample size and heritability might influence QTL identification in table grapes.