Asset Details
Do you wish to reserve the book?
Genome-wide association study identifies novel loci and candidate genes for rust resistance in wheat (Triticum aestivum L.)
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Genome-wide association study identifies novel loci and candidate genes for rust resistance in wheat (Triticum aestivum L.)
Do you wish to request the book?
Genome-wide association study identifies novel loci and candidate genes for rust resistance in wheat (Triticum aestivum L.)
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Genome-wide association study identifies novel loci and candidate genes for rust resistance in wheat (Triticum aestivum L.)
2024
Overview
Background
Wheat rusts are important biotic stresses, development of rust resistant cultivars through molecular approaches is both economical and sustainable. Extensive phenotyping of large mapping populations under diverse production conditions and high-density genotyping would be the ideal strategy to identify major genomic regions for rust resistance in wheat. The genome-wide association study (GWAS) population of 280 genotypes was genotyped using a 35 K Axiom single nucleotide polymorphism (SNP) array and phenotyped at eight, 10, and, 10 environments, respectively for stem/black rust (SR), stripe/yellow rust (YR), and leaf/brown rust (LR).
Results
Forty-one Bonferroni corrected marker-trait associations (MTAs) were identified, including 17 for SR and 24 for YR. Ten stable MTAs and their best combinations were also identified. For YR,
AX-94990952
on 1A +
AX-95203560
on 4A +
AX-94723806
on 3D +
AX-95172478
on 1A showed the best combination with an average co-efficient of infection (ACI) score of 1.36. Similarly, for SR,
AX-94883961
on 7B +
AX-94843704
on 1B and
AX-94883961
on 7B +
AX-94580041
on 3D +
AX-94843704
on 1B showed the best combination with an ACI score of around 9.0. The genotype PBW827 have the best MTA combinations for both YR and SR resistance. In silico study identifies key prospective candidate genes that are located within MTA regions. Further, the expression analysis revealed that 18 transcripts were upregulated to the tune of more than 1.5 folds including 19.36 folds (TraesCS3D02G519600) and 7.23 folds (TraesCS2D02G038900) under stress conditions compared to the control conditions. Furthermore, highly expressed genes in silico under stress conditions were analyzed to find out the potential links to the rust phenotype, and all four genes were found to be associated with the rust phenotype.
Conclusion
The identified novel MTAs, particularly stable and highly expressed MTAs are valuable for further validation and subsequent application in wheat rust resistance breeding. The genotypes with favorable MTA combinations can be used as prospective donors to develop elite cultivars with YR and SR resistance.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Analysis
/ Biomedical and Life Sciences
/ Disease Resistance - genetics
/ Genes
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ Genotype
/ GWAS
/ Identification and classification
/ leaves
/ Multi-omics approaches for plant disease diagnosis
/ Plant Diseases - microbiology
/ Polymorphism, Single Nucleotide
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ SNP
/ Wheat
