Gowda Manje, Das Biswanath, Makumbi Dan, Babu Raman, Semagn Kassa, Mahuku George, Olsen Michael S, Bright Jumbo M, Beyene Yoseph, Prasanna Boddupalli M
International Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya.
International Maize and Wheat Improvement Center (CIMMYT), Hyderabad, India.
Theor Appl Genet. 2015 Oct;128(10):1957-68. doi: 10.1007/s00122-015-2559-0. Epub 2015 Jul 8.
Genome-wide association analysis in tropical and subtropical maize germplasm revealed that MLND resistance is influenced by multiple genomic regions with small to medium effects. The maize lethal necrosis disease (MLND) caused by synergistic interaction of Maize chlorotic mottle virus and Sugarcane mosaic virus, and has emerged as a serious threat to maize production in eastern Africa since 2011. Our objective was to gain insights into the genetic architecture underlying the resistance to MLND by genome-wide association study (GWAS) and genomic selection. We used two association mapping (AM) panels comprising a total of 615 diverse tropical/subtropical maize inbred lines. All the lines were evaluated against MLND under artificial inoculation. Both the panels were genotyped using genotyping-by-sequencing. Phenotypic variation for MLND resistance was significant and heritability was moderately high in both the panels. Few promising lines with high resistance to MLND were identified to be used as potential donors. GWAS revealed 24 SNPs that were significantly associated (P < 3 × 10(-5)) with MLND resistance. These SNPs are located within or adjacent to 20 putative candidate genes that are associated with plant disease resistance. Ridge regression best linear unbiased prediction with five-fold cross-validation revealed higher prediction accuracy for IMAS-AM panel (0.56) over DTMA-AM (0.36) panel. The prediction accuracy for both within and across panels is promising; inclusion of MLND resistance associated SNPs into the prediction model further improved the accuracy. Overall, the study revealed that resistance to MLND is controlled by multiple loci with small to medium effects and the SNPs identified by GWAS can be used as potential candidates in MLND resistance breeding program.
对热带和亚热带玉米种质进行的全基因组关联分析表明,玉米致死坏死病(MLND)抗性受多个基因组区域影响,这些区域的效应大小从中等到小。玉米致死坏死病由玉米褪绿斑驳病毒和甘蔗花叶病毒协同作用引起,自2011年以来已成为东非玉米生产的严重威胁。我们的目标是通过全基因组关联研究(GWAS)和基因组选择来深入了解MLND抗性的遗传结构。我们使用了两个关联作图(AM)群体,共包含615个不同的热带/亚热带玉米自交系。所有品系均在人工接种条件下进行MLND抗性评估。两个群体均采用简化基因组测序进行基因分型。两个群体中MLND抗性的表型变异均显著,遗传力中等偏高。鉴定出了一些对MLND具有高抗性的优良品系,可作为潜在的供体。GWAS揭示了24个与MLND抗性显著相关(P < 3×10⁻⁵)的单核苷酸多态性(SNP)。这些SNP位于20个假定的候选基因内部或附近,这些基因与植物抗病性相关。采用五重交叉验证的岭回归最佳线性无偏预测显示,IMAS-AM群体(0.56)的预测准确性高于DTMA-AM群体(0.36)。群体内和群体间的预测准确性都很有前景;将与MLND抗性相关的SNP纳入预测模型进一步提高了准确性。总体而言,该研究表明,MLND抗性由多个效应大小从中等到小的基因座控制,GWAS鉴定出的SNP可作为MLND抗性育种计划中的潜在候选基因。