Unknown

Dataset Information

0

Genome-wide association study reveals novel genomic regions governing agronomic and grain quality traits and superior allelic combinations for Basmati rice improvement.


ABSTRACT:

Background

Basmati is a speciality segment in the rice genepool characterised by explicit grain quality. For the want of suitable populations, genome-wide association study (GWAS) in Basmati rice has not been attempted.

Materials

To address this gap, we have performed a GWAS on a panel of 172 elite Basmati multiparent population comprising of potential restorers and maintainers. Phenotypic data was generated for various agronomic and grain quality traits across seven different environments during two consecutive crop seasons. Based on the observed phenotypic variation, three agronomic traits namely, days to fifty per cent flowering, plant height and panicle length, and three grain quality traits namely, kernel length before cooking, length breadth ratio and kernel length after cooking were subjected to GWAS. Genotyped with 80K SNP array, the population was subjected to principal component analysis to stratify the underlying substructure and subjected to the association analysis using Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK) model.

Results

We identified 32 unique MTAs including 11 robust MTAs for the agronomic traits and 25 unique MTAs including two robust MTAs for the grain quality traits. Six out of 13 robust MTAs were novel. By genome annotation, six candidate genes associated with the robust MTAs were identified. Further analysis of the allelic combinations of the robust MTAs enabled the identification of superior allelic combinations in the population. This information was utilized in selecting 77 elite Basmati rice genotypes from the panel.

Conclusion

This is the first ever GWAS study in Basmati rice which could generate valuable information usable for further breeding through marker assisted selection, including enhancing of heterosis.

SUBMITTER: Abhijith KP 

PROVIDER: S-EPMC9760805 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

altmetric image

Publications

Genome-wide association study reveals novel genomic regions governing agronomic and grain quality traits and superior allelic combinations for Basmati rice improvement.

Abhijith Krishnan P KP   Gopala Krishnan S S   Ravikiran Kuram Tirumala KT   Dhawan Gaurav G   Kumar Pankaj P   Vinod Kunnummal Kurungara KK   Bhowmick Prolay Kumar PK   Nagarajan Mariappan M   Seth Rakesh R   Sharma Ritesh R   Badhran Sourav Kumar SK   Bollinedi Haritha H   Ellur Ranjith Kumar RK   Singh Ashok Kumar AK  

Frontiers in plant science 20221205


<h4>Background</h4>Basmati is a speciality segment in the rice genepool characterised by explicit grain quality. For the want of suitable populations, genome-wide association study (GWAS) in Basmati rice has not been attempted.<h4>Materials</h4>To address this gap, we have performed a GWAS on a panel of 172 elite Basmati multiparent population comprising of potential restorers and maintainers. Phenotypic data was generated for various agronomic and grain quality traits across seven different env  ...[more]

Similar Datasets

| S-EPMC4546240 | biostudies-literature
| S-EPMC5755915 | biostudies-literature
| S-EPMC10208962 | biostudies-literature
| S-EPMC9698459 | biostudies-literature
| S-EPMC5650699 | biostudies-literature
| S-EPMC12559551 | biostudies-literature