Evidence map›Paper›PMID 40595972›Full record

ArticleScientific reports2025

Rice QTL hotspots related with seed grain size, shape, weight, and color based on genome wide association study and linkage mapping.

Rizky Dwi Satrio, Miftahul Huda Fendiyanto, Nisa Nurrahmah, Nabila Anofri, Mohammad Ikhsan, Satya Nugroho, Aris Hairmansis, M Miftahudin

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Rizky Dwi SatrioDepartment of Biology, Faculty of Military Mathematics and Natural Science, The Republic of Indonesia Defense University, Komplek Indonesia Peace and Security Center (IPSC) Sentul, Bogor, 16810, Indonesia.
Miftahul Huda FendiyantoDepartment of Biology, Faculty of Military Mathematics and Natural Science, The Republic of Indonesia Defense University, Komplek Indonesia Peace and Security Center (IPSC) Sentul, Bogor, 16810, Indonesia.
Nisa NurrahmahDepartment of Biology, Faculty of Mathematics and Natural Science, IPB University, Kampus IPB Dramaga, Bogor, 16680, Indonesia.
Nabila AnofriDepartment of Biology, Faculty of Mathematics and Natural Science, IPB University, Kampus IPB Dramaga, Bogor, 16680, Indonesia.
Mohammad IkhsanBiomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Jakarta, Indonesia.
Satya NugrohoResearch Center of Genetic Engineering, Research Organization of Life Sciences and Environment, National Research and Innovation Agency, Science Center Jl, Raya Jakarta-Bogor No.KM 46, Cibinong, Bogor, 16911, Indonesia.
Aris HairmansisResearch Center of Food Crops, Research Organization of Agriculture and Food, National Research and Innovation Agency, Jl. Raya 9 Sukamandi, Subang, 41256, Indonesia.
M MiftahudinDepartment of Biology, Faculty of Mathematics and Natural Science, IPB University, Kampus IPB Dramaga, Bogor, 16680, Indonesia. miftahudin@apps.ipb.ac.id.

Funding

Badan Riset dan Inovasi Nasional 18/IV/KS/06/2022
6 · The paper itself

Abstract

Rice is a staple crop worldwide, with seed traits such as size, shape, weight, and color playing crucial roles in agricultural productivity and consumer preferences. Despite significant progress, the genetic basis underlying the variation in hulled and unhulled seed grain traits remains partially unexplored. This study presents a comprehensive analysis combining GWAS and QTL mapping to dissect the genetic architecture of hulled and unhulled seed characteristics in rice. The aim is to identify quantitative trait loci (QTLs) associated with these traits using an integration of multi-model approach genome-wide association studies (GWAS) and linkage mapping analysis. The study analyzed 244 local rice varieties for GWAS and 90 Recombinant Inbred Lines for linkage mapping analysis. The traits observed included hulled and unhulled seed grain area, perimeter, length, width, length-to-width ratio, circularity, weight, and color (RGB, HSV, Lab, yCbCr). A total of 23 QTL regions were identified, with two major QTL hotspots located on chromosomes 7 and 2. Specifically, QTL hotspots on chromosome 7 were associated with grain size, shape, and weight, while those on chromosome 2 were linked to seed color. A total of 530 SNPs significantly associated with the traits were distributed across 12 rice chromosomes, corroborating the QTL hotspot regions. Six genes on chromosome 7 and seven genes on chromosome 2 were proposed as candidate genes regulating seed grain traits. These findings provide valuable insights into the genetic control of rice seed traits and offer potential targets for breeding programs aimed at improving rice quality and yield.

Indexed as

Edible GrainGenome-Wide Association StudyOryzaQuantitative Trait LociSeedsChromosome MappingChromosomes, PlantPhenotypePolymorphism, Single NucleotideGenome-wide association study (GWAS)GrainHulled seedQuantitative trait loci (QTL)Rice

Identifiers

PMID40595972
PMCPMC12218392

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