Evidence map›Paper›PMID 39713157›Full record

ArticlePeerJ2024

Genome-wide association study reveals the advantaged genes regulating

Hongwei Chen, Xue Zhang, Shujun Tian, Hong Gao, Jian Sun, Xiu Pang, Xiaowan Li, Quanying Li, Wenxiao Xie, Lili Wang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2024. 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. 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

14 authors.

Hongwei Chen *Rice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Xue Zhang *Rice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Shujun TianRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Hong GaoRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Jian SunRice Research Institute, Shenyang Agricultural University, Shenyang, China.
Xiu PangRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Xiaowan LiRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Quanying LiRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Wenxiao XieRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Lili WangRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Chengwei LiangRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Guomin SuiLiaoning Academy of Agricultural Sciences, Shenyang, China.
Wenjing ZhengRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Zuobin MaRice Research Institute of Liaoning Province, Liaoning Academy of Agricultural Sciences, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rice, a staple food for over half of the global population, exhibits significant diversity in grain shape characteristics, which impact not only appearance and milling quality but also grain weight and yield. Identifying genes and loci underlying these traits is crucial for improving rice breeding programs. Previous studies have identified multiple quantitative trait loci (QTLs) and genes regulating grain length, width, and length-width ratio; however, further investigation is necessary to elucidate their regulatory pathways and their practical application in crop improvement. Methods: This study employed a genome-wide association study (GWAS) on 280 Results: Our analysis detected 15 QTLs associated with the 11 grain shape traits, of which five major QTL clusters emerged as crucial. Candidate genes, including

Indexed as

Edible GrainGenome-Wide Association StudyOryzaPhenotypePolymorphism, Single NucleotideQuantitative Trait LociChinaGenes, PlantCandidate genesGrain shapeGWASJaponicaQTLs

Identifiers

PMID39713157
PMCPMC11662900

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.