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Published on: August 12, 2019
Haplotype-Based Genome-Wide Association Analysis Using Exome Capture Assay and Digital Phenotyping Identifies Genetic
Raj K Pasam1, Surya Kant1,2,3, Emily Thoday-Kennedy2
1Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083, Australia.
Identifying salt-tolerant wheat is crucial for crop yields. Digital phenotyping and genome-wide association studies revealed 95 quantitative trait loci (QTL) for salinity tolerance, highlighting widespread genetic variation for this important trait.
Area of Science:
- Plant Science
- Genetics
- Agronomy
Background:
- Soil salinity poses a significant threat to crop production, necessitating the development of salt-tolerant crop varieties.
- Effective identification of genetic resources for salt tolerance is vital for wheat breeding programs aiming to sustain yields in saline environments.
Purpose of the Study:
- To investigate the genetic basis of salinity tolerance in a diverse collection of wheat accessions.
- To identify novel genes and quantitative trait loci (QTL) conferring salt tolerance using advanced phenotyping and genotyping techniques.
Main Methods:
- Automated digital phenotyping of 580 wheat accessions under controlled salinity stress conditions.
- Haplotype-based genome-wide association study (GWAS) using 883,300 single nucleotide polymorphisms (SNPs) to identify QTL.
- Gene ontology analysis to identify candidate genes associated with salinity tolerance.
Main Results:
- Digital plant traits, such as shoot growth and senescence rates, effectively served as proxy traits for selecting salt-tolerant wheat.
- A total of 95 QTL for salinity tolerance were identified, with 54 being novel discoveries.
- Candidate genes involved in stress tolerance mechanisms were pinpointed through gene ontology analysis.
Conclusions:
- The study identified wheat accessions with diverse salinity tolerance mechanisms, valuable for future genetic research.
- Salinity tolerance appears widespread across diverse wheat germplasm, attributed to numerous small-effect genetic variants rather than regional specificity.
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