ArticleMolecular biology reports2020
Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.).
Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- Applications and techniques of single-cell RNA sequencing across diverse species.Briefings in bioinformatics · 2025Review
- Morphological and Genomic Differences in the Italian Populations ofPlants (Basel, Switzerland) · 2024Article
- Functional Bph14 from Rathu Heenati promotes resistance to BPH at the early seedling stage of rice (Oryza sativa L.) as revealed by QTL-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Whole genome resequencing identifies candidate genes and allelic diagnostic markers for resistance toFrontiers in plant science · 2022Article
- Article
- Understanding Omics Driven Plant Improvement andFrontiers in genetics · 2021Review
Corrections and comments
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Authors and funding
21 authors at 3 institutions in 1 country.
Funding
Abstract
Rice (Oryza sativa L.) yield enhancement is one of the prime objectives of plant breeders. Elucidation of the inheritance of grain weight, a key yield component trait, is of paramount importance for raising the yield thresholds in rice. In the present investigation, we employed Next-Generation Sequencing based QTL-seq approach to identify major genomic regions associated with grain weight using mapping populations derived from a cross between BPT5204 and MTU3626. QTL-seq analysis identified three grain weight quantitative trait loci (QTL) viz., qGW1 (35-40 Mb), qGW7 (10-18 Mb), and qGW8 (2-5 Mb) on chromosomes 1, 7 and 8, respectively and all are found to be novel. Further, qGW8 was confirmed through conventional QTL mapping in F
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