Evidence map›Paper›PMID 30132023›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

A genome-wide association study uncovers novel genomic regions and candidate genes of yield-related traits in upland cotton.

Zhengwen Sun, Xingfen Wang, Zhengwen Liu, Qishen Gu, Yan Zhang, Zhikun Li, Huifeng Ke, Jun Yang, Jinhua Wu, Liqiang Wu and 3 more

Abstract read
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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
17.9field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 63 citations in OpenAlex.

  1. Combined genome and transcriptome analysis of boll weight and lint percentage traits in Gossypium barbadense.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
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  5. Analysis of the genetic basis of fiber-related traits and flowering time in upland cotton using machine learning.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  6. A GWAS identified loci and candidate genes associated with fiber quality traits in a new cotton MAGIC population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  7. Article
  8. Article
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  10. Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  11. Genome-Wide Association Study of Lint Percentage inInternational journal of molecular sciences · 2023
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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 at 1 institution in 1 country.

Zhengwen SunNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Xingfen WangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Zhengwen LiuNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Qishen GuNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Yan ZhangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Zhikun LiNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Huifeng KeNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Jun YangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Jinhua WuNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Liqiang WuNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Guiyin ZhangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China.
Caiying ZhangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China. zhangcaiying@hebau.edu.cn.
Zhiying MaNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei Province, Hebei Agricultural University, Baoding, 071001, China. mzhy@hebau.edu.cn.
Hebei Agricultural University · CN

Funding

Division of Cotton Genetic Improvement CARS-18-08the National Key Research and Development Program 2016YFD0101405the Science and Technology Support Program of Hebei Province 16226307D
6 · The paper itself

Abstract

key messageA total of 62 SNPs associated with yield-related traits were identified by a GWAS. Based on significant SNPs, two candidate genes pleiotropically increase lint yield. Improved fibre yield is considered a constant goal of upland cotton (Gossypium hirsutum) breeding worldwide, but the understanding of the genetic basis controlling yield-related traits remains limited. To better decipher the molecular mechanism underlying these traits, we conducted a genome-wide association study to determine candidate loci associated with six yield-related traits in a population of 719 upland cotton germplasm accessions; to accomplish this, we used 10,511 single-nucleotide polymorphisms (SNPs) genotyped by an Illumina CottonSNP63K array. Six traits, including the boll number, boll weight, lint percentage, fruit branch number, seed index and lint index, were assessed in multiple environments; large variation in all phenotypes was detected across accessions. We identified 62 SNP loci that were significantly associated with different traits on chromosomes A07, D03, D05, D09, D10 and D12. A total of 689 candidate genes were screened, and 27 of them contained at least one significant SNP. Furthermore, two genes (Gh_D03G1064 and Gh_D12G2354) that pleiotropically increase lint yield were identified. These identified SNPs and candidate genes provide important insights into the genetic control underlying high yields in G. hirsutum, ultimately facilitating breeding programmes of high-yielding cotton.

Indexed as

Genes, PlantPolymorphism, Single NucleotideGenetic Association StudiesGenotypeGossypiumPhenotypePlant Breeding

Identifiers

PMID30132023
OpenAlexW2888730791

What OpenQuestion holds

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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.