Evidence map›Paper›PMID 33892774›Full record

ArticleGenome biology2021

Cotton pan-genome retrieves the lost sequences and genes during domestication and selection.

Jianying Li, Daojun Yuan, Pengcheng Wang, Qiongqiong Wang, Mengling Sun, Zhenping Liu, Huan Si, Zhongping Xu, Yizan Ma, Boyang Zhang and 8 more

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

97 citing papers in PubMed.

  1. Review
  2. Regulatory divergence of homoeologs underlies network optimization for fiber improvement in domesticated cotton.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Genomic reconstruction of upland cotton domestication uncovers staged selection, gene flow, and flowering-time adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
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  15. Article
  16. Speed breeding in upland cotton (Frontiers in plant science · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Article

37 more citing papers are in PubMed but not listed here.

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

18 authors.

Jianying LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID 0000-0002-9825-672X
Daojun YuanCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
Pengcheng WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Qiongqiong WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Mengling SunNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Zhenping LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Huan SiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Zhongping XuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yizan MaNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Boyang ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Liuling PeiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Lili TuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Longfu ZhuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Ling-Ling ChenHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China.
Keith LindseyDepartment of Biosciences, Durham University, Durham, UK.
Xianlong ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Shuangxia JinNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. jsx@mail.hzau.edu.cn.
Maojun WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. mjwang@mail.hzau.edu.cn.ORCID 0000-0002-4791-3742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMillennia of directional human selection has reshaped the genomic architecture of cultivated cotton relative to wild counterparts, but we have limited understanding of the selective retention and fractionation of genomic components.

resultsWe construct a comprehensive genomic variome based on 1961 cottons and identify 456 Mb and 357 Mb of sequence with domestication and improvement selection signals and 162 loci, 84 of which are novel, including 47 loci associated with 16 agronomic traits. Using pan-genome analyses, we identify 32,569 and 8851 non-reference genes lost from Gossypium hirsutum and Gossypium barbadense reference genomes respectively, of which 38.2% (39,278) and 14.2% (11,359) of genes exhibit presence/absence variation (PAV). We document the landscape of PAV selection accompanied by asymmetric gene gain and loss and identify 124 PAVs linked to favorable fiber quality and yield loci.

conclusionsThis variation repertoire points to genomic divergence during cotton domestication and improvement, which informs the characterization of favorable gene alleles for improved breeding practice using a pan-genome-based approach.

Indexed as

DomesticationGenes, PlantGenome, PlantGenomicsSelection, GeneticDNA Copy Number VariationsGenetics, PopulationGenetic VariationGenome-Wide Association StudyGossypiumINDEL MutationPhenotypePlant BreedingPolymorphism, Single NucleotideCopy number variation (CNV)CottonDomesticationGene lossImprovementPan-genomePresence/absence variation (PAV)

Identifiers

PMID33892774
PMCPMC8063427

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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.