Construction of a high-density genetic map and QTLs mapping for sugars and acids in grape berries.
Construction of a high-density genetic map and QTLs mapping for sugars and acids in grape berries.
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葡萄浆果糖酸高密度遗传图谱构建及QTL定位
DOI：
10.1186/s12870-015-0428-2
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发表时间：
2015-02-03
影响因子：
5.3
通讯作者：
Wu BH
中科院分区：
文献类型：
--
作者：
Chen J;Wang N;Fang LC;Liang ZC;Li SH;Wu BH
控制葡萄浆果中单个糖和酸(果糖、葡萄糖、苹果酸和酒石酸)的QTL尚未确定。本研究旨在利用下一代限制性内切酶DNA测序技术，构建高密度、高质量的酿酒葡萄(V.vinifera×V.amurensis)×((V.Labrusca×V.riparia)×V.vinifera)复杂亲本杂交组合的高密度、高质量的遗传图谱，并在三年的时间里寻找与表型变异相关的基因座。总共开发了1826个基于SNP的标记。其中，621个标记被聚为19个连锁群(LGs)用于母本作图，696个用于父本作图，1254个用于整合作图。标记表明，我们的遗传图谱与之前发表的葡萄参考序列在大多数染色体上都有很好的线性一致性。然而，在某些染色体区域，标记顺序不同，表明基因组内既有保守性，也有变异性。尽管识别了一系列控制感兴趣性状的QTL，但这些QTL对观察到的表型变异的解释比例相对较小。尽管年际间表现出较大的不稳定性，但除酒石酸和可滴定酸度外，所有性状的QTL在研究的三年中都被检测到；然而，只有苹果酸和β(酒石酸/苹果酸比率)的QTL在两年中稳定。与糖有关的QTL位于10个类群(01、02、03、04、07、09、11、14、17、18)内，与酸有关的QTL位于3个类群(06、13、18)内。在LG14中，果糖、葡萄糖和总糖的QTL重叠。苹果酸、总酸和β比值在LG18中各有一个QTL，苹果酸在LG06中也有一个QTL。这些QTL背后的一组10个基因可能与决定浆果苹果酸含量有关。本研究构建的遗传图谱可能是一个高密度、高质量的图谱，可用于QTL检测、基因组比较和序列拼接。这也可能有助于拓宽我们对葡萄基因组的理解。本文的在线版本(doi：10.1186/s12870-0150428-2)包含补充材料，授权用户可以使用。
QTLs controlling individual sugars and acids (fructose, glucose, malic acid and tartaric acid) in grape berries have not yet been identified. The present study aimed to construct a high-density, high-quality genetic map of a winemaking grape cross with a complex parentage (V. vinifera × V. amurensis) × ((V. labrusca × V. riparia) × V. vinifera), using next-generation restriction site-associated DNA sequencing, and then to identify loci related to phenotypic variability over three years. In total, 1 826 SNP-based markers were developed. Of these, 621 markers were assembled into 19 linkage groups (LGs) for the maternal map, 696 for the paternal map, and 1 254 for the integrated map. Markers showed good linear agreement on most chromosomes between our genetic maps and the previously published V. vinifera reference sequence. However marker order was different in some chromosome regions, indicating both conservation and variation within the genome. Despite the identification of a range of QTLs controlling the traits of interest, these QTLs explained a relatively small percentage of the observed phenotypic variance. Although they exhibited a large degree of instability from year to year, QTLs were identified for all traits but tartaric acid and titratable acidity in the three years of the study; however only the QTLs for malic acid and β ratio (tartaric acid-to-malic acid ratio) were stable in two years. QTLs related to sugars were located within ten LGs (01, 02, 03, 04, 07, 09, 11, 14, 17, 18), and those related to acids within three LGs (06, 13, 18). Overlapping QTLs in LG14 were observed for fructose, glucose and total sugar. Malic acid, total acid and β ratio each had several QTLs in LG18, and malic acid also had a QTL in LG06. A set of 10 genes underlying these QTLs may be involved in determining the malic acid content of berries. The genetic map constructed in this study is potentially a high-density, high-quality map, which could be used for QTL detection, genome comparison, and sequence assembly. It may also serve to broaden our understanding of the grape genome. The online version of this article (doi:10.1186/s12870-015-0428-2) contains supplementary material, which is available to authorized users.
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