Evidence map›Paper›PMID 40009082›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

QTN detection and candidate gene identification for improved eating and cooking quality in rice using GWAS and PLS regression analysis.

Kiyosumi Hori, Matthew Shenton, Kenta Mochizuki, Keitaro Suzuki, Ken Iijima, Noriyuki Kuya, Koka Shu, Kosuke Ono, Yuji Kinoshita, Kazuhiko Sugimoto and 6 more

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. A magnesium efflux transporter required for seed development and eating quality in rice.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Kiyosumi HoriNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan. horikiyo@affrc.go.jp.ORCID http://orcid.org/0000-0003-3783-9718
Matthew ShentonNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Kenta MochizukiNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Keitaro SuzukiNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Ken IijimaNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Noriyuki KuyaNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Koka ShuNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Kosuke OnoDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Yuji KinoshitaDepartment of Agricultural Chemistry, Faculty of Applied Bioscience, Tokyo University of Agriculture, Setagaya, Tokyo, Japan.
Kazuhiko SugimotoNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Takayuki UmemotoNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Jun-Ichi YonemaruNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Masanori YamasakiFood Resources Education and Research Center, Kobe University, Kasai, Hyogo, Japan.
Yoshinobu TakeuchiNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Kaworu EbanaNational Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Yoshimasa TsujiiDepartment of Agricultural Chemistry, Faculty of Applied Bioscience, Tokyo University of Agriculture, Setagaya, Tokyo, Japan. 96tsujii@nodai.ac.jp.ORCID https://orcid.org/0000-0003-4700-4677

Funding

Ministry of Agriculture, Forestry and Fisheries JP J012037
6 · The paper itself

Abstract

key messageWe performed GWAS for starch properties and eating, cooking and appearance quality characteristics traits in rice and then used PLS regression to show importance of different loci for different food applications. We performed a genome-wide association study for appearance, eating and cooking quality traits in grain of japonica rice cultivars and identified candidate genes for adhesiveness of cooked rice grains, amylopectin composition and β-glucanase activity in rice endosperm among a total of 525 quantitative trait nucleotide (QTN) loci. The study used 1,054,635 single-nucleotide polymorphisms (SNPs) based on genome sequence data of 150 rice cultivars and 89 grain appearance, eating and cooking quality traits. These included grain shape, protein content, amylose content, amylopectin chain length, starch viscosity properties, starch degradation enzyme activities, and physicochemical characteristics of cooked rice grains analyzed in three years. Cluster regions of genetic loci on rice chromosomes 1, 4, 5, 6, 8, 9, 10 and 11 were detected, with several regions co-located with starch biosynthesis and degradation genes. Partial least squares (PLS) regression analysis revealed that the QTN genotypes were unevenly distributed in subpopulations of rice cultivars classified by their primary application. We could therefore select and accumulate these QTNs to improve grain quality in further breeding programs by developing novel rice cultivars with appropriate phenotypes for each food usage: as high eating quality cooked rice, staple food rice, sushi rice, sake brewing rice, and high-yielding rice cultivars.

Indexed as

CookingGenes, PlantOryzaQuantitative Trait LociAmylopectinAmyloseChromosome MappingGenome-Wide Association StudyGenotypeLeast-Squares AnalysisPhenotypePolymorphism, Single NucleotideStarchAmylopectinAmyloseStarch

Identifiers

PMID40009082
PMCPMC11865119

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.