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Jadhav, K., Saykhedkar, G., Tamilarasi, P. M., Devasree, S., Rajagopalan, V. R., Chandran, S., Bharathi, P., Karthikeyan, A., Arulselvi, S., Vijayagowri, E., Ganesan, K. N., Paranidharan, V., Nair, S., 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, 890133. https://doi.org/10.3389/fgene.2022.890133
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Abstract
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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.
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Journal
Frontiers in Genetics
Journal volume
13
Journal issue
Article number
890133
Place of Publication
Switzerland
Publisher
Frontiers
Related Datasets
CGIAR Initiatives
Initiative
Accelerated Breeding
Impact Area
Nutrition, health & food security
Action Area
Genetic Innovation
Donor or Funder
Department of Biotechnology, India
Government of India
CGIAR Trust Fund
Government of India
CGIAR Trust Fund