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Genome-Wide Association Analysis Identifies Candidate Loci for Callus Induction in Rice (Oryza sativa L.).
Wintai Kamolsukyeunyong1, Yeetoh Dabbhadatta1, Aornpilin Jaiprasert1
1National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand.
This study identified seven quantitative trait loci (QTLs) influencing rice callus induction (CI) across three media. A Caleosin-related gene was strongly associated with CI, offering insights for rice molecular breeding.
Area of Science:
- Plant Science
- Genetics
- Biotechnology
Background:
- Callus induction (CI) is crucial for plant genetic transformation.
- Understanding the genetic basis of CI is essential for improving rice breeding techniques.
Purpose of the Study:
- To conduct a genome-wide association study (GWAS) to identify quantitative trait loci (QTLs) and candidate genes for callus induction in rice.
- To analyze the association of identified genes with callus induction percentages across different tissue culture media.
Main Methods:
- Genome-wide association study (GWAS) on 110 Indica rice accessions.
- Callus induction assays using three media: B5, MS, and N6.
- Identification and analysis of QTLs and candidate genes within associated haplotype blocks.
Main Results:
- Seven QTLs associated with CI percentage were identified on rice chromosomes 2, 6, 7, and 11.
- Fifty-five genes were located within QTL regions, with 31 showing associations with varying CI percentages.
- A Caleosin-related family protein gene was strongly associated with CI in B5 and N6 media.
- Genes encoding beta-tubulin, zinc finger protein, RNP-1 domain-containing protein, and lysophosphatidic acid acyltransferase were linked to CI in N6 medium.
Conclusions:
- The study identified key QTLs and candidate genes for rice callus induction, including a Caleosin-related gene.
- These findings provide valuable genetic resources for enhancing callus formation and advancing molecular breeding in rice.
- The identified genes offer potential targets for genetic manipulation to improve rice transformation efficiency.
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