Abstract
In wheat, meta-QTLs (MQTLs) and candidate genes (CGs) were identified for multiple disease resistance (MDR). For this purpose, information was collected from 58 studies for mapping QTLs for resistance to one or more of the five diseases. As many as 493 QTLs were available from these studies, which were distributed in five diseases as follows: septoria tritici blotch (STB) 126 QTLs; septoria nodorum blotch (SNB), 103 QTLs; fusarium head blight (FHB), 184 QTLs; karnal bunt (KB), 66 QTLs; and loose smut (LS), 14 QTLs. Of these 493 QTLs, only 291 QTLs could be projected onto a consensus genetic map, giving 63 MQTLs. The CI of the MQTLs ranged from 0.04 to 15.31 cM with an average of 3.09 cM per MQTL. This is a ~ 4.39 fold reduction from the CI of QTLs, which ranged from 0 to 197.6 cM, with a mean of 13.57 cM. Of 63 MQTLs, 60 were anchored to the reference physical map of wheat (the physical interval of these MQTLs ranged from 0.30 to 726.01 Mb with an average of 74.09 Mb). Thirty-eight (38) of these MQTLs were verified using marker–trait associations (MTAs) derived from genome-wide association studies. As many as 874 CGs were also identified which were further investigated for differential expression using data from five transcriptome studies, resulting in 194 differentially expressed candidate genes (DECGs). Among the DECGs, 85 genes had functions previously reported to be associated with disease resistance. These results should prove useful for fine mapping and cloning of MDR genes and marker-assisted breeding.
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References
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Acknowledgements
The Department of Science and Technology (DST), New Delhi, India, provided DKS with an INSPIRE fellowship, while the Head, Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India, provided the necessary facilities.
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PS and PKG conceived and planned the study. AC, DKS, and NP collected the literature and tabulated the data for meta-analysis. DKS conducted the analysis. DKS and AC interpreted the results and wrote the first draft of the manuscript. PKG and PS edited and finalized the manuscript with the help of DKS.
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Saini, D.K., Chahal, A., Pal, N. et al. Meta-analysis reveals consensus genomic regions associated with multiple disease resistance in wheat (Triticum aestivum L.). Mol Breeding 42, 11 (2022). https://doi.org/10.1007/s11032-022-01282-z
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DOI: https://doi.org/10.1007/s11032-022-01282-z