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首页> 外文期刊>American Journal of Plant Sciences >Identification of QTLs for Blast, Bacterial Blight, and Planthopper Resistance Using SNP-Based Linkage Maps from Two Recombinant Inbred Rice Lines
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Identification of QTLs for Blast, Bacterial Blight, and Planthopper Resistance Using SNP-Based Linkage Maps from Two Recombinant Inbred Rice Lines

机译:使用来自两个重组自交水稻品系的基于SNP的连锁图谱鉴定稻瘟病,白叶枯病和飞虱抗性的QTL

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摘要

Rice is the most significant global food security. Several biotic factors limit rice production, breeding biotic-resistant rice has, therefore, become an increasingly important goal. Two elite rice lines, IR71033-121-15 (IR71033) and IR57514-PMI-5-B-1-2 (IR57514), provide potential genes for biotic stress resistance traits. In this study, genotyping by sequencing (GBS) for single nucleotide polymorphism (SNP)-based linkage map construction was used to detect quantitative trait loci (QTLs) for blast (BL), bacterial blight (BB), whitebacked planthopper (WBPH), and brown planthopper (BPH) resistance. IR71033 was derived from Oryza minuta and carrie d BL, BB, WBPH, and BPH resistance QTLs. IR57514 is a well-adapted rainfed lowland line that carries BL and BB resistance QTLs. Two sets of recombinant inbred line (RIL) populations derived from crosses of KDML105 × IR71033 and KDML105 × IR57514 were used to dissect the genetic basis of disease and insect pest resistance. The RIL populations were evaluated for BL, BB, WBPH, and BPH resistance from 2016 to 2018 at four rice research centers in Thailand. From these, we identified a large number of SNPs through GBS and constructed high-resolution linkage maps. By combining phenotypic evaluation with the GBS data, a total of 24 QTLs on four chromosomes were detected that confer ed pest resistance and explain ed 7.3% - 61.4% of the phenotypic variance. These findings should facilitate identifying novel resistance genes and applying marker-assisted selection for resistance to the four major rice pests investigated here. These strategies will improve the resilience and reliability of rice varieties adapted to the low-yielding environment of rainfed lowland areas worldwide.
机译:稻米是全球最重要的粮食安全。几种生物因素限制了水稻的生产,因此,育种抗生物大米已成为越来越重要的目标。两种优质稻系IR71033-121-15(IR71033)和IR57514-PMI-5-B-1-2(IR57514)提供了生物抗逆性状的潜在基因。在这项研究中,基于单核苷酸多态性(SNP)的连锁图构建通过测序(GBS)进行基因分型被用于检测稻瘟病(BL),细菌疫病(BB),白背飞虱(WBPH)的数量性状基因座(QTL),和褐飞虱(BPH)抗性。 IR71033衍生自Oryza minuta和carrie d BL,BB,WBPH和BPH抗性QTL。 IR57514是一种适应性强的雨养低地线路,带有BL和BB抵抗QTL。使用两组分别来自KDML105×IR71033和KDML105×IR57514杂交的重组近交系(RIL)种群来剖析疾病和害虫抗性的遗传基础。从2016年至2018年,在泰国的四个水稻研究中心对RIL种群的BL,BB,WBPH和BPH抗性进行了评估。从中,我们通过GBS识别了大量SNP,并构建了高分辨率连锁图。通过将表型评估与GBS数据相结合,共检测到四个染色体上的24个QTL,这些QTL赋予了害虫抗药性,并解释了7.3%-61.4%的表型变异。这些发现应有助于鉴定新的抗性基因,并应用标记辅助选择对此处调查的四种主要水稻害虫具有抗性。这些策略将提高适应全球雨养低地地区低产环境的水稻品种的复原力和可靠性。

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