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GWAS scans of cereal cyst nematode (Heterodera avenae) resistance in Indian wheat germplasm.

Authors :
Singh, Vikas Kumar
Chaturvedi, Deepti
Pundir, Saksham
Kumar, Deepak
Sharma, Rajiv
Kumar, Sundeep
Sharma, Shiveta
Sharma, Shailendra
Source :
Molecular Genetics & Genomics. May2023, Vol. 298 Issue 3, p579-601. 23p.
Publication Year :
2023

Abstract

Significant yield losses in major cereal-growing regions around the world have been linked to cereal cyst nematodes (Heterodera spp.). Identifying and deploying natural sources of resistance is of utmost importance due to increasing concerns associated with chemical methods over the years. We screened 141 diverse wheat genotypes collected from pan-Indian wheat cultivation states for nematode resistance over two years, alongside two resistant (Raj MR1, W7984 (M6)) and two susceptible (WH147, Opata M85) checks. We performed genome-wide association analysis using four single-locus models (GLM, MLM, CMLM, and ECMLM) and three multi-locus models (Blink, FarmCPU, and MLMM). Single locus models identified nine significant MTAs (−log10 (P) > 3.0) on chromosomes 2A, 3B, and 4B whereas, multi-locus models identified 11 significant MTAs on chromosomes 1B, 2A, 3B, 3D and 4B. Single and multi-locus models identified nine common significant MTAs. Candidate gene analysis identified 33 genes like F-box-like domain superfamily, Cytochrome P450 superfamily, Leucine-rich repeat, cysteine-containing subtype Zinc finger RING/FYVE/PHD-type, etc., having a putative role in disease resistance. Such genetic resources can help to reduce the impact of this disease on wheat production. Additionally, these results can be used to design new strategies for controlling the spread of H. avenae, such as the development of resistant varieties or the use of resistant cultivars. Finally, the obtained results can also be used to identify new sources of resistance to this pathogen and develop novel control methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16174615
Volume :
298
Issue :
3
Database :
Academic Search Index
Journal :
Molecular Genetics & Genomics
Publication Type :
Academic Journal
Accession number :
163335272
Full Text :
https://doi.org/10.1007/s00438-023-01996-5