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小黑麦抗寒性和耐霜冻性的遗传结构

Genetic architecture of winter hardiness and frost tolerance in triticale.

作者信息

Liu Wenxin, Maurer Hans Peter, Li Guoliang, Tucker Matthew R, Gowda Manje, Weissmann Elmar A, Hahn Volker, Würschum Tobias

机构信息

Crop Genetics and Breeding Department, China Agricultural University, Beijing, China.

State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany.

出版信息

PLoS One. 2014 Jun 13;9(6):e99848. doi: 10.1371/journal.pone.0099848. eCollection 2014.

DOI:10.1371/journal.pone.0099848
PMID:24927281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4057402/
Abstract

Abiotic stress experienced by autumn-sown crops during winter is of great economic importance as it can have a severe negative impact on yield. In this study, we investigated the genetic architecture of winter hardiness and frost tolerance in triticale. To this end, we used a large mapping population of 647 DH lines phenotyped for both traits in combination with genome-wide marker data. Employing multiple-line cross QTL mapping, we identified nine main effect QTL for winter hardiness and frost tolerance of which six were overlapping between both traits. Three major QTL were identified on chromosomes 5A, 1B and 5R. In addition, an epistasis scan revealed the contribution of epistasis to the genetic architecture of winter hardiness and frost tolerance in triticale. Taken together, our results show that winter hardiness and frost tolerance are complex traits that can be improved by phenotypic selection, but also that genomic approaches hold potential for a knowledge-based improvement of these important traits in elite triticale germplasm.

摘要

秋播作物在冬季所经历的非生物胁迫具有重大经济意义,因为它会对产量产生严重负面影响。在本研究中,我们调查了小黑麦抗寒性和耐冻性的遗传结构。为此,我们使用了一个由647个双单倍体系(DH系)组成的大型作图群体,对这两个性状进行了表型分析,并结合了全基因组标记数据。采用多系杂交QTL作图,我们鉴定出9个控制抗寒性和耐冻性的主效QTL,其中6个在两个性状间重叠。在5A、1B和5R染色体上鉴定出3个主要QTL。此外,上位性扫描揭示了上位性对小黑麦抗寒性和耐冻性遗传结构的贡献。综上所述,我们的结果表明,抗寒性和耐冻性是复杂性状,可通过表型选择加以改良,而且基因组方法在基于知识改良优良小黑麦种质中的这些重要性状方面具有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711c/4057402/0b3c00c3d534/pone.0099848.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711c/4057402/e58b5a404812/pone.0099848.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711c/4057402/ebe80377d6c3/pone.0099848.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711c/4057402/0b3c00c3d534/pone.0099848.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711c/4057402/e58b5a404812/pone.0099848.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711c/4057402/ebe80377d6c3/pone.0099848.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711c/4057402/0b3c00c3d534/pone.0099848.g003.jpg

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本文引用的文献

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Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traits.关联定位中的交叉验证及其与复杂性状QTL参数估计的相关性。
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Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack).
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多线交叉 QTL 作图分析黑小麦(×Triticosecale Wittmack)生物量和株高。
Theor Appl Genet. 2014 Jan;127(1):251-60. doi: 10.1007/s00122-013-2214-6. Epub 2013 Oct 31.
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