Experimental evaluation of effectiveness of genomic selection for resistance to northern corn leaf blight in maize.

IF 2 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
H C Lohithaswa, D C Balasundara, M G Mallikarjuna, M S Sowmya, N Mallikarjuna, R S Kulkarni, Anand S Pandravada, Bhupendra S Bhatia
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引用次数: 0

Abstract

Northern corn leaf blight (NLB) caused by Setosphaeria turcica (Luttrell) Leonard & Suggs is a severe foliar disease in maize. Resistance to NLB is complexly inherited and controlled by several quantitative trait loci (QTL) distributed across the genome. Phenotype and DNA marker-based selection for resistance to NLB is expected to be effective. Hence, an investigation was carried out to predict the genetic value of selection candidates for resistance to NLB and compare the accuracies of genomic prediction in two F2:3 populations of two crosses (CM212 × MAI172; CM202 × SKV50) derived from contrasting parents. Linkage analysis using 297 polymorphic SNPs in population-1 and 290 polymorphic SNPs in population-2 revealed ten linkage groups spanning 3623.88 cM and 4261.92 cM with an average distance of 12.40 cM and 14.9 cM in population-1 and population-2, respectively. Location-wise and pooled data across locations identified common QTLs on linkage groups 1 and 6 in population-1 and 3 and 8 in population-2. The prediction accuracy of the QTL mapping (9.92 and 9.10 for population-1 and population-2, respectively) was based on only a few markers, which explained higher percent phenotypic variation. The prediction accuracies of the genomic estimated breeding values in the present investigation were relatively low in population-1 (0.24 to 0.26) and population-2 (0.29-0.32) compared to the expected accuracies. This could be due to fewer polymorphic markers and a small training/population size. Though the GS prediction accuracies were relatively low, they were significantly higher than QTL mapping, which promises better genetic gain per cycle. The resistant progenies from both populations were advanced to derive inbred lines and crossed with four different testers in line × tester mating design to test for their combining ability and effectiveness of genomic selection. High overall general combining ability was exhibited by 21 inbred lines. Among F1s, 48% were assigned high overall specific combining ability status. Out of the 136 single crosses, seven recorded significant positive standard heterosis over the best check for grain yield. Twenty-five inbreds with high GEBVs were crossed with four testers to obtain 100 F1s and evaluated for their response to NLB. The majority of hybrids displayed moderate to resistant reaction to NLB either in combination with susceptible or resistant testers indicating the effectiveness of selection based on high GEBVs.

玉米抗北方玉米叶枯病基因组选择有效性的实验评估。
由 Setosphaeria turcica (Luttrell) Leonard & Suggs 引起的北方玉米叶枯病(NLB)是一种严重的玉米叶面病害。对 NLB 的抗性由分布在整个基因组中的几个数量性状位点 (QTL) 控制,具有复杂的遗传性。基于表型和 DNA 标记的抗 NLB 选择有望取得成效。因此,研究人员进行了一项调查,以预测抗 NLB 候选基因的遗传价值,并比较两个杂交种(CM212 × MAI172;CM202 × SKV50)的两个 F2:3 群体中基因组预测的准确性。利用群体1中的297个多态性SNPs和群体2中的290个多态性SNPs进行的连锁分析显示,在群体1和群体2中,有10个连锁群,跨度分别为3623.88 cM和4261.92 cM,平均距离分别为12.40 cM和14.9 cM。在群体-1的第1和第6连锁群以及群体-2的第3和第8连锁群上,发现了不同地点的共同QTL。QTL 图谱的预测准确率(群体-1 和群体-2 分别为 9.92 和 9.10)仅基于少数标记,而这些标记解释了较高百分比的表型变异。与预期准确度相比,本研究中基因组估计育种值的预测准确度在群体-1(0.24-0.26)和群体-2(0.29-0.32)相对较低。这可能是由于多态性标记较少和训练/群体规模较小造成的。虽然GS预测准确率相对较低,但它们明显高于QTL图谱,QTL图谱有望获得更好的每周期遗传增益。这两个群体的抗性后代被培育成近交系,并与四个不同的测试者进行品系×测试者交配设计,以测试它们的结合能力和基因组选择的有效性。21 个近交系表现出较高的总体综合能力。在 F1s 中,48% 被认为具有较高的整体特定结合能力。在 136 个单一杂交种中,有 7 个杂交种的谷物产量明显高于最佳对照。25 个具有高 GEBV 的近交系与 4 个测试者杂交,获得了 100 个 F1 后代,并对其对无花果树的反应进行了评估。大多数杂交种对 NLB 都表现出中等至抗性的反应,无论是与易感性还是抗性试验品杂交,都表明基于高 GEBVs 的选育是有效的。
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来源期刊
Journal of Applied Genetics
Journal of Applied Genetics 生物-生物工程与应用微生物
CiteScore
4.30
自引率
4.20%
发文量
62
审稿时长
6-12 weeks
期刊介绍: The Journal of Applied Genetics is an international journal on genetics and genomics. It publishes peer-reviewed original papers, short communications (including case reports) and review articles focused on the research of applicative aspects of plant, human, animal and microbial genetics and genomics.
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