SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize

• Published in: Frontiers in genetics Vol. 13; p. 1038948
• Main Authors: Zhai, Ruining, Huang, Aihua, Mo, Runxiu, Zou, Chenglin, Wei, Xinxing, Yang, Meng, Tan, Hua, Huang, Kaijian, Qin, Jie
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 25.11.2022
• Subjects: bulk segregant analysis; disease resistance; Genetics; northern corn leaf blight; QTL; SNP; QTL; bulk segregant analysis; SNP; disease resistance; northern corn leaf blight
• ISSN: 1664-8021; 1664-8021
• DOI: 10.3389/fgene.2022.1038948

Maize ( L.) is the most important food security crop worldwide. Northern corn leaf blight (NCLB), caused by , severely reduces production causing millions of dollars in losses worldwide. Therefore, this study aimed to identify significant QTLs associated with NCLB by utilizing next-generation sequencing-based bulked-segregant analysis (BSA). Parental lines GML71 (resistant) and Gui A10341 (susceptible) were used to develop segregating population F . Two bulks with 30 plants each were further selected from the segregating population for sequencing along with the parental lines. High throughput sequencing data was used for BSA. We identified 10 QTLs on Chr 1, Chr 2, Chr 3, and Chr 5 with 265 non-synonymous SNPs. Moreover, based on annotation information, we identified 27 candidate genes in the QTL regions. The candidate genes associated with disease resistance include , , , , , , , , , , , and . The annotation information suggested their involvement in disease resistance-related pathways, including protein phosphorylation, cytoplasmic vesicle, protein serine/threonine kinase activity, and ATP binding pathways. Our study provides a substantial addition to the available information regarding QTLs associated with NCLB, and further functional verification of identified candidate genes can broaden the scope of understanding the NCLB resistance mechanism in maize.