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 res...
| Autores principales: | , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Frontiers Media
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/126438 |
| _version_ | 1855520260033085440 |
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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 Nair, Sudha Krishnan Babu, Raman Ramalingam, Jegadeesan Raveendran, Muthurajan Senthil, Natesan |
| author_browse | Arulselvi, Soosai Babu, Raman Bharathi, Pukalenthy Devasree, Subramani Ganesan, Kalipatty Nalliappan Jadhav, Kashmiri Prakash Karthikeyan, Adhimoolam Nair, Sudha Krishnan Ramalingam, Jegadeesan Ranjani, Rajagopalan Veera Raveendran, Muthurajan Sarankumar, Chandran Saykhedkar, Gajanan R. Senthil, Natesan Tamilarasi, Pandiampalayam Marappan Vijayagowri, Esvaran |
| 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 Nair, Sudha Krishnan Babu, Raman Ramalingam, Jegadeesan Raveendran, Muthurajan Senthil, Natesan |
| author_sort | Jadhav, Kashmiri Prakash |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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 | Journal Article |
| id | CGSpace126438 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1264382025-12-08T10:29:22Z 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 Nair, Sudha Krishnan Babu, Raman Ramalingam, Jegadeesan Raveendran, Muthurajan Senthil, Natesan genotyping maize single nucleotide polymorphism sorghum downy mildews quantitative trait loci 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. 2022-07-20 2023-01-01T16:14:02Z 2023-01-01T16:14:02Z Journal Article https://hdl.handle.net/10568/126438 en Open Access application/pdf Frontiers Media Jadhav, K. P., Saykhedkar, G. R., Tamilarasi, P. M., Devasree, S., Ranjani, R. V., Sarankumar, C., Bharathi, P., Karthikeyan, A., Arulselvi, S., Vijayagowri, E., Ganesan, K. N., Paranidharan, V., Nair, S. K., Babu, R., Ramalingam, J., Raveendran, M., & Senthil, N. (2022). GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.). Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.890133 |
| spellingShingle | genotyping maize single nucleotide polymorphism sorghum downy mildews quantitative trait loci 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 Nair, Sudha Krishnan 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 | genotyping maize single nucleotide polymorphism sorghum downy mildews quantitative trait loci genetics |
| url | https://hdl.handle.net/10568/126438 |
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