Evidence map›Paper›PMID 33859417›Full record

ArticleNature genetics2021

The genomic basis of geographic differentiation and fiber improvement in cultivated cotton.

Shoupu He, Gaofei Sun, Xiaoli Geng, Wenfang Gong, Panhong Dai, Yinhua Jia, Weijun Shi, Zhaoe Pan, Junduo Wang, Liyuan Wang and 13 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
36.3field-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

89 citing papers in PubMed, 179 citations in OpenAlex.

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  8. 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
  9. Relief of GbDEAH12Nature communications · 2026
    Article
  10. Article
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  12. Genome-Wide Identification and Expression Analysis of theInternational journal of molecular sciences · 2026
    Article
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  17. Review
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29 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

23 authors at 8 institutions in 1 country.

Shoupu He *State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Gaofei Sun *School of Computer Science & Information Engineering, Anyang Institute of Technology, Anyang, China.ORCID http://orcid.org/0000-0003-4975-9846
Xiaoli Geng *State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Wenfang Gong *State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0002-5895-3360
Panhong DaiState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Yinhua JiaState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Weijun ShiResearch Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumchi, China.
Zhaoe PanState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Junduo WangResearch Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumchi, China.
Liyuan WangState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Songhua XiaoInstitute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Baojun ChenState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Shufang CuiInstitute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Chunyuan YouCotton Research Institute, Shihezi Academy of Agriculture Science, Shihezi, China.
Zongming XieProduction & Construction Group Key Laboratory of Crop Germplasm Enhancement and Gene Resources Utilization, Biotechnology Research Institute of Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, China.
Feng WangCollege of Agronomy, Hunan Agricultural University, Changsha, China.
Jie SunKey Laboratory of Oasis Eco-agriculture, College of Agriculture, Shihezi University, Shihezi, China.
Guoyong FuState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Zhen PengState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-6723-3819
Daowu HuState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Liru WangState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Baoyin PangState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Xiongming DuState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China. duxiongming@caas.cn.ORCID http://orcid.org/0000-0001-8431-5592
Cotton Research Institute · CNXinjiang Academy of Agricultural Sciences · CNAnyang Institute of Technology · CNHebei Academy of Agriculture and Forestry Sciences · CNHunan Agricultural University · CNJiangsu Academy of Agricultural Sciences · CNShihezi University · CNXinjiang Academy of Agricultural and Reclamation Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale genomic surveys of crop germplasm are important for understanding the genetic architecture of favorable traits. The genomic basis of geographic differentiation and fiber improvement in cultivated cotton is poorly understood. Here, we analyzed 3,248 tetraploid cotton genomes and confirmed that the extensive chromosome inversions on chromosomes A06 and A08 underlies the geographic differentiation in cultivated Gossypium hirsutum. We further revealed that the haplotypic diversity originated from landraces, which might be essential for understanding adaptative evolution in cultivated cotton. Introgression and association analyses identified new fiber quality-related loci and demonstrated that the introgressed alleles from two diploid cottons had a large effect on fiber quality improvement. These loci provided the potential power to overcome the bottleneck in fiber quality improvement. Our study uncovered several critical genomic signatures generated by historical breeding effects in cotton and a wealth of data that enrich genomic resources for the research community.

Indexed as

Cotton FiberGenome, PlantGeographyChromosome InversionChromosome MappingChromosomes, PlantGenetics, PopulationGenetic VariationGenome-Wide Association StudyGossypiumHaplotypesPhylogenySpecies SpecificityTetraploidy

Identifiers

PMID33859417
OpenAlexW3153544950

What OpenQuestion holds

Textmetadata
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.