Exploring Genetic Diversity within aus Rice Germplasm: Insights into the Variations in Agro-morphological Traits

Autor: Puranjoy Sar, Sonal Gupta, Motilal Behera, Koushik Chakraborty, Umakanta Ngangkham, Bibhash Chandra Verma, Amrita Banerjee, Prashantkumar S. Hanjagi, Debarati Bhaduri, Sandip Shil, Jitendra Kumar, Nimai Prasad Mandal, Paresh Chandra Kole, Michael D. Purugganan, Somnath Roy
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Rice, Vol 17, Iss 1, Pp 1-18 (2024)
Druh dokumentu: article
ISSN: 1939-8425
1939-8433
DOI: 10.1186/s12284-024-00700-4
Popis: Abstract The aus (Oryza sativa L.) varietal group comprises of aus, boro, ashina and rayada seasonal and/or field ecotypes, and exhibits unique stress tolerance traits, making it valuable for rice breeding. Despite its importance, the agro-morphological diversity and genetic control of yield traits in aus rice remain poorly understood. To address this knowledge gap, we investigated the genetic structure of 181 aus accessions using 399,115 SNP markers and evaluated them for 11 morpho-agronomic traits. Through genome-wide association studies (GWAS), we aimed to identify key loci controlling yield and plant architectural traits. Our population genetic analysis unveiled six subpopulations with strong geographical patterns. Subpopulation-specific differences were observed in most phenotypic traits. Principal component analysis (PCA) of agronomic traits showed that principal component 1 (PC1) was primarily associated with panicle traits, plant height, and heading date, while PC2 and PC3 were linked to primary grain yield traits. GWAS using PC1 identified OsSAC1 on Chromosome 7 as a significant gene influencing multiple agronomic traits. PC2-based GWAS highlighted the importance of OsGLT1 and OsPUP4/ Big Grain 3 in determining grain yield. Haplotype analysis of these genes in the 3,000 Rice Genome Panel revealed distinct genetic variations in aus rice. In summary, this study offers valuable insights into the genetic structure and phenotypic diversity of aus rice accessions. We have identified significant loci associated with essential agronomic traits, with GLT1, PUP4, and SAC1 genes emerging as key players in yield determination.
Databáze: Directory of Open Access Journals
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