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

Maize (Zea mays L.) is the most important food security crop worldwide. Northern corn leaf blight (NCLB), caused by Exserohilum turcicum, severely reduces production causing millions of dollars in losses worldwide. Therefore, this study aimed to identify significant QTLs associated with NCLB by util...

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Autores principales: Zhai, Ruining, Huang, Aihua, Mo, Runxiu, Zou, Chenglin, Wei, Xinxing, Yang, Meng, Tan, Hua, Huang, Kaijian, Qin, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732028/
https://www.ncbi.nlm.nih.gov/pubmed/36506330
http://dx.doi.org/10.3389/fgene.2022.1038948
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author Zhai, Ruining
Huang, Aihua
Mo, Runxiu
Zou, Chenglin
Wei, Xinxing
Yang, Meng
Tan, Hua
Huang, Kaijian
Qin, Jie
author_facet Zhai, Ruining
Huang, Aihua
Mo, Runxiu
Zou, Chenglin
Wei, Xinxing
Yang, Meng
Tan, Hua
Huang, Kaijian
Qin, Jie
author_sort Zhai, Ruining
collection PubMed
description Maize (Zea mays L.) is the most important food security crop worldwide. Northern corn leaf blight (NCLB), caused by Exserohilum turcicum, 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(2). 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 AATP1, At4g24790, STICHEL-like 2, BI O 3-BIO1, ZAR1, SECA2, ABCG25, LECRK54, MKK7, MKK9, RLK902, and DEAD-box ATP-dependent RNA helicase. 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.
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spelling pubmed-97320282022-12-10 SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize Zhai, Ruining Huang, Aihua Mo, Runxiu Zou, Chenglin Wei, Xinxing Yang, Meng Tan, Hua Huang, Kaijian Qin, Jie Front Genet Genetics Maize (Zea mays L.) is the most important food security crop worldwide. Northern corn leaf blight (NCLB), caused by Exserohilum turcicum, 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(2). 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 AATP1, At4g24790, STICHEL-like 2, BI O 3-BIO1, ZAR1, SECA2, ABCG25, LECRK54, MKK7, MKK9, RLK902, and DEAD-box ATP-dependent RNA helicase. 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. Frontiers Media S.A. 2022-11-25 /pmc/articles/PMC9732028/ /pubmed/36506330 http://dx.doi.org/10.3389/fgene.2022.1038948 Text en Copyright © 2022 Zhai, Huang, Mo, Zou, Wei, Yang, Tan, Huang and Qin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Zhai, Ruining
Huang, Aihua
Mo, Runxiu
Zou, Chenglin
Wei, Xinxing
Yang, Meng
Tan, Hua
Huang, Kaijian
Qin, Jie
SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize
title SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize
title_full SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize
title_fullStr SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize
title_full_unstemmed SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize
title_short SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize
title_sort snp-based bulk segregant analysis revealed disease resistance qtls associated with northern corn leaf blight in maize
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732028/
https://www.ncbi.nlm.nih.gov/pubmed/36506330
http://dx.doi.org/10.3389/fgene.2022.1038948
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