Evidence map›Paper›PMID 29736016›Full record

ArticleNature genetics2018

Resequencing a core collection of upland cotton identifies genomic variation and loci influencing fiber quality and yield.

Zhiying Ma, Shoupu He, Xingfen Wang, Junling Sun, Yan Zhang, Guiyin Zhang, Liqiang Wu, Zhikun Li, Zhihao Liu, Gaofei Sun and 26 more

Abstract read
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In one paragraph

Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 244 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
244citing papers in PubMed, 1 pooled it
–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

244 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. MianxinNo.1: a modern cultivar genome-informed SNP array based on cGPS technology for genomics-assisted breeding in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  8. Article
  9. 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
  10. Article
  11. 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
  12. Harnessing polyploidy for climate-resilient crops: Lessons from the evolutionary model, allotetraploid cotton.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Review
  13. Article
  14. Article
  15. Article
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  17. Artificial Selection on theInternational journal of molecular sciences · 2026
    Article
  18. Content characteristics and genetic architecture of macronutrient signatures in cottonseed.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  19. Article
  20. Article

184 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

36 authors.

Zhiying MaNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China. mzhy@hebau.edu.cn.ORCID http://orcid.org/0000-0002-0298-757X
Shoupu HeState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-8434-5484
Xingfen WangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China. cotton@hebau.edu.cn.ORCID http://orcid.org/0000-0002-8576-4565
Junling SunState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0002-7243-038X
Yan ZhangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0002-1596-8060
Guiyin ZhangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0003-3851-1263
Liqiang WuNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0001-6754-8175
Zhikun LiNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0001-8894-9808
Zhihao LiuNovogene Bioinformatics Institute, Beijing, China.ORCID http://orcid.org/0000-0002-1583-5057
Gaofei SunAnyang Institute of Technology, Anyang, China.
Yuanyuan YanNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0002-9608-2324
Yinhua JiaState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-6201-0296
Jun YangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0002-1537-8159
Zhaoe PanState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-6324-8650
Qishen GuNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0001-9666-5020
Xueyuan LiXinjiang Academy of Agricultural Sciences, Urumchi, China.ORCID http://orcid.org/0000-0002-2028-2792
Zhengwen SunNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0002-4373-4157
Panhong DaiState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Zhengwen LiuNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0002-8540-9694
Wenfang GongState 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
Jinhua WuNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.
Mi WangYangtze University, Jingzhou, China.
Hengwei LiuSuzhou University of Science and Technology, Suzhou, China.ORCID http://orcid.org/0000-0003-0231-6562
Keyun FengGansu Academy of Agricultural Sciences, Lanzhou, China.
Huifeng KeNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0002-3779-0814
Junduo WangXinjiang Academy of Agricultural Sciences, Urumchi, China.ORCID http://orcid.org/0000-0002-4526-3459
Hongyu LanGansu Academy of Agricultural Sciences, Lanzhou, China.
Guoning WangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.ORCID http://orcid.org/0000-0002-8914-5235
Jun PengState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-9731-779X
Nan WangNorth China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, 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.
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
Ruiqiang LiNovogene Bioinformatics Institute, Beijing, China.ORCID http://orcid.org/0000-0003-4760-1535
Shilin TianNovogene Bioinformatics Institute, Beijing, China. tianshilin@novogene.com.ORCID http://orcid.org/0000-0002-0311-8886
Xiongming DuState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China. dxm630723@163.com.ORCID http://orcid.org/0000-0001-8431-5592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Upland cotton is the most important natural-fiber crop. The genomic variation of diverse germplasms and alleles underpinning fiber quality and yield should be extensively explored. Here, we resequenced a core collection comprising 419 accessions with 6.55-fold coverage depth and identified approximately 3.66 million SNPs for evaluating the genomic variation. We performed phenotyping across 12 environments and conducted genome-wide association study of 13 fiber-related traits. 7,383 unique SNPs were significantly associated with these traits and were located within or near 4,820 genes; more associated loci were detected for fiber quality than fiber yield, and more fiber genes were detected in the D than the A subgenome. Several previously undescribed causal genes for days to flowering, fiber length, and fiber strength were identified. Phenotypic selection for these traits increased the frequency of elite alleles during domestication and breeding. These results provide targets for molecular selection and genetic manipulation in cotton improvement.

Indexed as

AllelesBreedingCotton FiberDomesticationGenome, PlantGenome-Wide Association StudyGenomicsGossypiumLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

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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.