Evidence map›Paper›PMID 40141339›Full record

ArticleInternational journal of molecular sciences2025

Identification of Elite Alleles and Candidate Genes for the Cotton Boll Opening Rate via a Genome-Wide Association Study.

Qi Ma, Xueli Zhang, Jilian Li, Xinzhu Ning, Shouzhen Xu, Ping Liu, Xuefeng Guo, Wenmin Yuan, Bin Xie, Fuxiang Wang and 3 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-wide association study reveals novel SNP loci and candidate genes linked to flowering time in upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Genome-Wide Association Study for Drought Tolerance in Cowpea (International journal of molecular sciences · 2025
    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

13 authors.

Qi MaCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Xueli ZhangCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Jilian LiInstitute of Cotton Research, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China.
Xinzhu NingInstitute of Cotton Research, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China.
Shouzhen XuInstitute of Cotton Research, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China.
Ping LiuInstitute of Cotton Research, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China.
Xuefeng GuoCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Wenmin YuanCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Bin XieInstitute of Cotton Research, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China.
Fuxiang WangCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0009-0005-3907-4810
Caixiang WangCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Junji SuCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Hai LinInstitute of Cotton Research, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China.

Funding

Major Projects of Xinjiang Uygur Autonomous Region 2023A02003-3 and 2023A02003-4
6 · The paper itself

Abstract

The boll opening rate (BOR) is an early maturity trait that plays a crucial role in cotton production in China, as BOR has a significant effect on defoliant spraying and picking time of unginned cotton, ultimately determining yield and fiber quality. Therefore, elucidating the genetic basis of BOR and identifying stably associated loci, elite alleles, and potential candidate genes can effectively accelerate the molecular breeding process. In this study, we utilized the mixed linear model (MLM) algorithm to perform a genome-wide association study (GWAS) based on 4,452,629 single-nucleotide polymorphisms (SNPs) obtained through whole-genome resequencing of a natural population of 418 upland cotton accessions and phenotypic BOR data acquired from five environments. A total of 18 SNP loci were identified on chromosome D11 that are stable and significantly associated with BOR in multiple environments. Moreover, a significant SNP peak (23.703-23.826 Mb) was identified, and a

Indexed as

AllelesGenes, PlantGenome-Wide Association StudyGossypiumGenome, PlantPhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait Lociboll opening ratecandidate genesgenome-wide association studynatural populationupland cotton

Identifiers

PMID40141339
PMCPMC11943326

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LicenceCC BY
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Registered trials

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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.