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四个双亲子代群体中与玉米致死坏死抗性相关的基因组区域的发现与验证

Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations.

作者信息

Gowda Manje, Beyene Yoseph, Makumbi Dan, Semagn Kassa, Olsen Michael S, Bright Jumbo M, Das Biswanath, Mugo Stephen, Suresh L M, Prasanna Boddupalli M

机构信息

International Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621 Kenya.

2Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.

出版信息

Mol Breed. 2018;38(5):66. doi: 10.1007/s11032-018-0829-7. Epub 2018 May 10.

Abstract

In sub-Saharan Africa, maize is the key determinant of food security for smallholder farmers. The sudden outbreak of maize lethal necrosis (MLN) disease is seriously threatening the maize production in the region. Understanding the genetic basis of MLN resistance is crucial. In this study, we used four biparental populations applied linkage mapping and joint linkage mapping approaches to identify and validate the MLN resistance-associated genomic regions. All populations were genotyped with low to high density markers and phenotyped in multiple environments against MLN under artificial inoculation. Phenotypic variation for MLN resistance was significant and heritability was moderate to high in all four populations for both early and late stages of disease infection. Linkage mapping revealed three major quantitative trait loci (QTL) on chromosomes 3, 6, and 9 that were consistently detected in at least two of the four populations. Phenotypic variance explained by a single QTL in each population ranged from 3.9% in population 1 to 43.8% in population 2. Joint linkage association mapping across three populations with three biometric models together revealed 16 and 10 main effect QTL for MLN-early and MLN-late, respectively. The QTL identified on chromosomes 3, 5, 6, and 9 were consistent with the QTL identified by linkage mapping. Ridge regression best linear unbiased prediction with five-fold cross-validation revealed high accuracy for prediction across populations for both MLN-early and MLN-late. Overall, the study discovered and validated the presence of major effect QTL on chromosomes 3, 6, and 9 which can be potential candidates for marker-assisted breeding to improve the MLN resistance.

摘要

在撒哈拉以南非洲地区,玉米是小农粮食安全的关键决定因素。玉米致死坏死病(MLN)的突然爆发正严重威胁着该地区的玉米生产。了解MLN抗性的遗传基础至关重要。在本研究中,我们使用四个双亲群体,采用连锁图谱和联合连锁图谱方法来鉴定和验证与MLN抗性相关的基因组区域。所有群体均使用低密度到高密度标记进行基因分型,并在人工接种条件下在多个环境中针对MLN进行表型分析。在疾病感染的早期和晚期,所有四个群体中MLN抗性的表型变异均显著,遗传力为中到高。连锁图谱分析在第3、6和9号染色体上揭示了三个主要数量性状位点(QTL),这三个位点在四个群体中的至少两个群体中被一致检测到。每个群体中单个QTL解释的表型变异范围从群体1中的3.9%到群体2中的43.8%。使用三种生物统计模型对三个群体进行联合连锁关联图谱分析,分别共鉴定出16个和10个MLN早期和MLN晚期的主效QTL。在第3、5、6和9号染色体上鉴定出的QTL与连锁图谱分析鉴定出的QTL一致。采用五重交叉验证的岭回归最佳线性无偏预测显示,对于MLN早期和MLN晚期,跨群体预测的准确性都很高。总体而言,该研究发现并验证了第3、6和9号染色体上存在主效QTL,这些QTL可能是用于标记辅助育种以提高MLN抗性的潜在候选基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820c/5945787/2dbba35c24ca/11032_2018_829_Fig1_HTML.jpg

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本文引用的文献

1
The Mdm1 Locus and Maize Resistance to Maize dwarf mosaic virus.
Plant Dis. 2007 Feb;91(2):185-190. doi: 10.1094/PDIS-91-2-0185.
2
First Report of Maize chlorotic mottle virus and Maize Lethal Necrosis in Kenya.
Plant Dis. 2012 Oct;96(10):1582. doi: 10.1094/PDIS-06-12-0576-PDN.
5
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.
Trends Plant Sci. 2017 Nov;22(11):961-975. doi: 10.1016/j.tplants.2017.08.011. Epub 2017 Sep 28.
7
Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm.
Theor Appl Genet. 2015 Oct;128(10):1957-68. doi: 10.1007/s00122-015-2559-0. Epub 2015 Jul 8.
8
Maize Lethal Necrosis (MLN), an Emerging Threat to Maize-Based Food Security in Sub-Saharan Africa.
Phytopathology. 2015 Jul;105(7):956-65. doi: 10.1094/PHYTO-12-14-0367-FI. Epub 2015 Jul 1.
10
TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline.
PLoS One. 2014 Feb 28;9(2):e90346. doi: 10.1371/journal.pone.0090346. eCollection 2014.

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