水稻抗纹枯病遗传因子的全基因组关联研究

M. ., K. Ganesamurthy, Sayan Das, R. Saraswathi, C. Gopalakrishnan, R. Gnanam
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引用次数: 0

摘要

水稻纹枯病(ShB)是由枯丝核菌引起的最严重的真菌病害之一。水稻抗纹枯病育种至今成效不佳,主要原因是水稻种质资源中缺乏大量可靠的抗性来源。在这种情况下,我们的研究表明,testep, Jasmine 85和MTU 9992系对病原体具有中等抗性反应。本研究通过基因组全关联研究(GWAS)从设计开发的定位群体中分析控制鞘枯病抗性的遗传因素,其中每个抗性亲本与3至4个高易感亲本杂交,产生11个群体(Jasmine 85XTN1, Jasmine 85XSwarnaSub1, Jasmine 85XII32B, Jasmine 85XIR54, TetepXTN1, TetepXSwarnaSub1, TetepXII32B, TetepXIR54, MTU 9992XTN1,MTU 9992XII32B和MTU 9992XIRBB4)。利用11个杂交组合的1545个重组自交系(RILs)进行研究。在多雨的2020年,在两个热点地区筛选了F7 ril对鞘疫病的反应。基因分型采用具有6564个SNP标记的Illumina平台。采用广义线性模型(GLM)和混合线性模型(MLM)进行全基因组关联研究。结果清楚地表明,MLM在校正种群结构方面优于GLM。利用MLM模型,在茉莉85个半同胞群体中,共分析了565个ril,在Chr1、Chr3、Chr9、Chr10和Chr11上检测到5个qtl(数量性状位点),其-log10 (p值)大于3。在共有714个RILs的TETEP半同胞群体中,在Chr1、Chr2、Chr5、Chr6、Chr7、Chr8和Chr11上共观察到7个qtl,且-log10 (p值)大于4。在MTU 9992同母同胞群体中,共鉴定出266个rls,在Chr2、Chr6和Chr11上鉴定出3个新的qtl, p值大于3。其中一些qtl早前已被报道。在目前的研究中,除了在MTU 9992中发现3个新的qtl外,还在Jasmine 85 (Chr10)和Tetep (Chr2, Chr5和Chr6)中发现了一些新的qtl。研究结果有助于更好地了解水稻抗白叶枯病的遗传基础。由于抗性不仅由几个大效QTL控制,而且由中效到小效QTL控制,因此基因组选择方法可能对抗鞘疫病育种有益,因此将迄今已鉴定的所有QTL金字塔化到一个易感品种是一件复杂的事情。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genome Wide Association Studies to Dissect Genetic Factors Conferring Sheath Blight Resistance in Rice (Oryza sativa L.)
Rice Sheath blight (ShB) is one of the most serious fungal diseases caused by Rhizoctonia solani. Breeding for sheath blight resistance has been ineffective exercise so far, mainly because of lack of good number of reliable sources of resistance in rice germplasm. In this context our studies indicated that the lines Tetep, Jasmine 85 and MTU 9992 confer resistant to moderately resistant reaction against the pathogen. The current investigation was carried out to dissect the genetic factors governing resistance to sheath blight through genome wide association study (GWAS) from the mapping populations developed by design where in, each of the resistant parents were crossed to three to four highly susceptible parents to generate eleven populations (Jasmine 85XTN1, Jasmine 85XSwarnaSub1, Jasmine 85XII32B, Jasmine 85XIR54, TetepXTN1, TetepXSwarnaSub1, TetepXII32B, TetepXIR54, MTU 9992XTN1, MTU 9992XII32B and MTU 9992XIRBB4). A total of 1545 Recombinant inbred lines (RILs) derived from eleven crosses were used for the study. During rainy 2020 the F7 RILs were screened for their reaction to Sheath blight in two hot spot locations. The genotyping was done with Illumina platform having 6564 SNP markers. Genome wide association study was done with two models Generalized Linear Model (GLM) and Mixed Linear Model (MLM). Results clearly indicate the superiority of MLM over GLM in correcting the population structure. With MLM model, in Jasmine 85 half-sib populations with 565 RILs analyzed, five QTLs (Quantitative Trait Loci) were detected on Chr1, Chr3, Chr9, Chr10 and Chr11 with –log10 (P-Value) more than 3. In TETEP half-sib populations with 714 RILs examined, seven QTLs were observed on Chr1, Chr2, Chr5, Chr6, Chr7, Chr8, and Chr11 with –log10 (P-Value) more than 4. Whereas in MTU 9992 half-sib populations with 266 RILs studied, three novel QTLs were identified on Chr2, Chr6 and Chr11 with –log10 (P-Value) more than 3. Some of these QTLs were reported by researches earlier. In the current research, some novel QTLs were detected in Jasmine 85 (Chr10) and Tetep (Chr2, Chr5 and Chr6) apart from three new QTLs discovered in MTU 9992. The results facilitated to have better understanding of the genetic basis for sheath blight resistance in rice. Pyramiding all the QTL identified so far into a susceptible varieties is complicated affair as resistance is governed by not only several large effect QTLs but also medium to small effect QTLs as well, hence genomic selection approach could be rewarding for breeding for sheath blight resistance.
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