Applying HPLC to Screening QTLs for BLB Resistance in Rice

被引:0
|
作者
Du, Xiao-Xuan [1 ,2 ]
Park, Jae-Ryoung [2 ,3 ]
Wang, Xiao-Han [4 ]
Jang, Yoon-Hee [3 ]
Kim, Eun-Gyeong [3 ]
Lee, Gang-Seob [1 ]
Kim, Kyung-Min [3 ]
机构
[1] Rural Dev Adm, Natl Acad Agr Sci, Biosafety Div, Jeonju 54874, South Korea
[2] Kyungpook Natl Univ, Coastal Agr Res Inst, Daegu 41566, South Korea
[3] Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Appl Biosci, Div Plant Biosci, Daegu 41566, South Korea
[4] Rural Dev Adm, Natl Inst Agr Sci, Natl Agrobiodivers Ctr, Jeonju 55365, South Korea
来源
PLANTS-BASEL | 2021年 / 10卷 / 10期
关键词
HPLC; QTL; rice; BLB; Xanthomonas oryzae pv. oryzae; BACTERIAL LEAF-BLIGHT; DEFENSE;
D O I
10.3390/plants10102145
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Bacterial leaf blight (BLB) is caused by Xanthomonas oryzae pv. oryzae and is a major cause of rice yield reductions around the world. When diseased, plants produce a variety of metabolites to resist pathogens. In this study, the various defense metabolites were quantified using high-performance liquid chromatography (HPLC) after Xoo inoculation in a 120 Cheongcheong/Nagdong double haploid (CNDH) population. Quantitative trait locus (QTL) mapping was conducted using the concentration of the plant defense metabolites. HPLC analyzes the concentration of substances according to the severity of disease symptoms. Searching for BLB resistance candidate genes by applying this analysis method is very effective when mapping related genes. These resistance genes can be mapped directly to the causative pathogens. A total of 17 metabolites were detected by means of HPLC analysis after Xoo inoculation in the 120 CNDH population. QTL mapping of the metabolite concentrations resulted in the detection of the BLB resistance candidate gene, OsWRKYq6, in RM3343 of chromosome 6. OsWRKYq6 has a very high homology sequence with WRKY transcription factor 39, and when inoculated with Xoo, the relative expression level of the resistant population was higher than that of the susceptible population. Resistance genes have previously been detected using only phenotypic change data. In this study, resistance candidate genes were detected using the concentration of metabolites produced in plants after inoculation with pathogens. This newly developed analysis method can be used to effectively detect and identify genes directly involved in disease resistance for future studies.</p>
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页数:12
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