GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.)

Autor: Kashmiri Prakash Jadhav, Gajanan R. Saykhedkar, Pandiampalayam Marappan Tamilarasi, Subramani Devasree, Rajagopalan Veera Ranjani, Chandran Sarankumar, Pukalenthy Bharathi, Adhimoolam Karthikeyan, Soosai Arulselvi, Esvaran Vijayagowri, Kalipatty Nalliappan Ganesan, Vaikuntavasan Paranidharan, Sudha K. Nair, Raman Babu, Jegadeesan Ramalingam, Muthurajan Raveendran, Natesan Senthil
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Genetics, Vol 13 (2022)
Druh dokumentu: article
ISSN: 1664-8021
DOI: 10.3389/fgene.2022.890133
Popis: 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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