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GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.)
Sorghum downy mildew (SDM), caused by the biotrophic fungi Peronosclerospora sorghi , threatens maize production worldwide, including India. To identify quantitative trait loci (QTL) associated with resistance to SDM, we used a recombinant inbred line (RIL) population derived from a cross between re...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348272/ https://www.ncbi.nlm.nih.gov/pubmed/35937985 http://dx.doi.org/10.3389/fgene.2022.890133 |
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author | Jadhav, Kashmiri Prakash Saykhedkar, Gajanan R. Tamilarasi, Pandiampalayam Marappan Devasree, Subramani Ranjani, Rajagopalan Veera Sarankumar, Chandran Bharathi, Pukalenthy Karthikeyan, Adhimoolam Arulselvi, Soosai Vijayagowri, Esvaran Ganesan, Kalipatty Nalliappan Paranidharan, Vaikuntavasan Nair, Sudha K. Babu, Raman Ramalingam, Jegadeesan Raveendran, Muthurajan Senthil, Natesan |
author_facet | Jadhav, Kashmiri Prakash Saykhedkar, Gajanan R. Tamilarasi, Pandiampalayam Marappan Devasree, Subramani Ranjani, Rajagopalan Veera Sarankumar, Chandran Bharathi, Pukalenthy Karthikeyan, Adhimoolam Arulselvi, Soosai Vijayagowri, Esvaran Ganesan, Kalipatty Nalliappan Paranidharan, Vaikuntavasan Nair, Sudha K. Babu, Raman Ramalingam, Jegadeesan Raveendran, Muthurajan Senthil, Natesan |
author_sort | Jadhav, Kashmiri Prakash |
collection | PubMed |
description | Sorghum downy mildew (SDM), caused by the biotrophic fungi Peronosclerospora sorghi , threatens maize production worldwide, including India. To identify quantitative trait loci (QTL) associated with resistance to SDM, we used a recombinant inbred line (RIL) population derived from a cross between resistant inbred line UMI936 (w) and susceptible inbred line UMI79. The RIL population was phenotyped for SDM resistance in three environments [E1-field (Coimbatore), E2-greenhouse (Coimbatore), and E3-field (Mandya)] and also utilized to construct the genetic linkage map by genotyping by sequencing (GBS) approach. The map comprises 1516 SNP markers in 10 linkage groups (LGs) with a total length of 6924.7 cM and an average marker distance of 4.57 cM. The QTL analysis with the phenotype and marker data detected nine QTL on chromosome 1, 2, 3, 5, 6, and 7 across three environments. Of these, QTL namely qDMR1.2, qDMR3.1, qDMR5.1, and qDMR6.1 were notable due to their high phenotypic variance. qDMR3.1 from chromosome 3 was detected in more than one environment (E1 and E2), explaining the 10.3% and 13.1% phenotypic variance. Three QTL, qDMR1.2, qDMR5.1, and qDMR6.1 from chromosomes 1, 5, and 6 were identified in either E1 or E3, explaining 15.2%–18% phenotypic variance. Moreover, genome mining on three QTL (qDMR3.1, qDMR5.1, and qDMR6.1) reveals the putative candidate genes related to SDM resistance. The information generated in this study will be helpful for map-based cloning and marker-assisted selection in maize breeding programs. |
format | Online Article Text |
id | pubmed-9348272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93482722022-08-04 GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.) Jadhav, Kashmiri Prakash Saykhedkar, Gajanan R. Tamilarasi, Pandiampalayam Marappan Devasree, Subramani Ranjani, Rajagopalan Veera Sarankumar, Chandran Bharathi, Pukalenthy Karthikeyan, Adhimoolam Arulselvi, Soosai Vijayagowri, Esvaran Ganesan, Kalipatty Nalliappan Paranidharan, Vaikuntavasan Nair, Sudha K. Babu, Raman Ramalingam, Jegadeesan Raveendran, Muthurajan Senthil, Natesan Front Genet Genetics Sorghum downy mildew (SDM), caused by the biotrophic fungi Peronosclerospora sorghi , threatens maize production worldwide, including India. To identify quantitative trait loci (QTL) associated with resistance to SDM, we used a recombinant inbred line (RIL) population derived from a cross between resistant inbred line UMI936 (w) and susceptible inbred line UMI79. The RIL population was phenotyped for SDM resistance in three environments [E1-field (Coimbatore), E2-greenhouse (Coimbatore), and E3-field (Mandya)] and also utilized to construct the genetic linkage map by genotyping by sequencing (GBS) approach. The map comprises 1516 SNP markers in 10 linkage groups (LGs) with a total length of 6924.7 cM and an average marker distance of 4.57 cM. The QTL analysis with the phenotype and marker data detected nine QTL on chromosome 1, 2, 3, 5, 6, and 7 across three environments. Of these, QTL namely qDMR1.2, qDMR3.1, qDMR5.1, and qDMR6.1 were notable due to their high phenotypic variance. qDMR3.1 from chromosome 3 was detected in more than one environment (E1 and E2), explaining the 10.3% and 13.1% phenotypic variance. Three QTL, qDMR1.2, qDMR5.1, and qDMR6.1 from chromosomes 1, 5, and 6 were identified in either E1 or E3, explaining 15.2%–18% phenotypic variance. Moreover, genome mining on three QTL (qDMR3.1, qDMR5.1, and qDMR6.1) reveals the putative candidate genes related to SDM resistance. The information generated in this study will be helpful for map-based cloning and marker-assisted selection in maize breeding programs. Frontiers Media S.A. 2022-07-20 /pmc/articles/PMC9348272/ /pubmed/35937985 http://dx.doi.org/10.3389/fgene.2022.890133 Text en Copyright © 2022 Jadhav, Saykhedkar, Tamilarasi, Devasree, Ranjani, Sarankumar, Bharathi, Karthikeyan, Arulselvi, Vijayagowri, Ganesan, Paranidharan, Nair, Babu, Ramalingam, Raveendran and Senthil. 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 Jadhav, Kashmiri Prakash Saykhedkar, Gajanan R. Tamilarasi, Pandiampalayam Marappan Devasree, Subramani Ranjani, Rajagopalan Veera Sarankumar, Chandran Bharathi, Pukalenthy Karthikeyan, Adhimoolam Arulselvi, Soosai Vijayagowri, Esvaran Ganesan, Kalipatty Nalliappan Paranidharan, Vaikuntavasan Nair, Sudha K. Babu, Raman Ramalingam, Jegadeesan Raveendran, Muthurajan Senthil, Natesan GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.) |
title | GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.) |
title_full | GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.) |
title_fullStr | GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.) |
title_full_unstemmed | GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.) |
title_short | GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.) |
title_sort | gbs-based snp map pinpoints the qtl associated with sorghum downy mildew resistance in maize (zea mays l.) |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348272/ https://www.ncbi.nlm.nih.gov/pubmed/35937985 http://dx.doi.org/10.3389/fgene.2022.890133 |
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