ArticleRice (New York, N.Y.)2022
Genotyping-by-Sequencing Based Investigation of Population Structure and Genome Wide Association Studies for Seven Agronomically Important Traits in a Set of 346 Oryza rufipogon Accessions.
Article in Rice (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Whole-Genome Variants Resource of 144 Oryza rufipogon Accessions.Scientific data · 2026Article
- Analysis of Genetic Variation of Rice Straw Characteristics and Its Influence on Biomass.Plant direct · 2026Article
- Geographic Divergence and Putative Candidate Gene Discovery of Rice Grain Quality in China.Rice (New York, N.Y.) · 2025Article
- Usage of wildBreeding science · 2025Article
- Transcriptomics in solanaceous crop improvement: advances and opportunities.Frontiers in plant science · 2025Review
- Comprehensive genetic diversity revealed in the pre-breeding RILs (Frontiers in genetics · 2025Article
- Genomics empowering conservation action and improvement of celery in the face of climate change.Planta · 2024Review
- Novel genes and alleles of the BTB/POZ protein family in Oryza rufipogon.Scientific reports · 2023Article
- Genome wide association studies and candidate gene mining for understanding the genetic basis of straw silica content in a set ofFrontiers in plant science · 2023Article
- Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits.Frontiers in plant science · 2023Article
- Genetic Improvement in Plant Architecture, Maturity Duration and Agronomic Traits of Three Traditional Rice Landraces through Gamma Ray-Based Induced Mutagenesis.Plants (Basel, Switzerland) · 2022Article
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9 authors at 4 institutions in 3 countries.
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Abstract
Being one of the most important staple dietary constituents globally, genetic enhancement of cultivated rice for yield, agronomically important traits is of substantial importance. Even though the climatic factors and crop management practices impact complex traits like yield immensely, the contribution of variation by underlying genetic factors surpasses them all. Previous studies have highlighted the importance of utilizing exotic germplasm, landraces in enhancing the diversity of gene pool, leading to better selections and thus superior cultivars. Thus, to fully exploit the potential of progenitor of Asian cultivated rice for productivity related traits, genome wide association study (GWAS) for seven agronomically important traits was conducted on a panel of 346 O. rufipogon accessions using a set of 15,083 high-quality single nucleotide polymorphic markers. The phenotypic data analysis indicated large continuous variation for all the traits under study, with a significant negative correlation observed between grain parameters and agronomic parameters like plant height, culm thickness. The presence of 74.28% admixtures in the panel as revealed by investigating population structure indicated the panel to be very poorly genetically differentiated, with rapid LD decay. The genome-wide association analyses revealed a total of 47 strong MTAs with 19 SNPs located in/close to previously reported QTL/genic regions providing a positive analytic proof for our studies. The allelic differences of significant MTAs were found to be statistically significant at 34 genomic regions. A total of 51 O. rufipogon accessions harboured combination of superior alleles and thus serve as potential candidates for accelerating rice breeding programs. The present study identified 27 novel SNPs to be significantly associated with different traits. Allelic differences between cultivated and wild rice at significant MTAs determined superior alleles to be absent at 12 positions implying substantial scope of improvement by their targeted introgression into cultivars. Introgression of novel significant genomic regions into breeder's pool would broaden the genetic base of cultivated rice, thus making the crop more resilient.
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