Evidence map›Paper›PMID 32652678›Full record

ArticlePlant biotechnology journal2021

Genomic analyses reveal the genetic basis of early maturity and identification of loci and candidate genes in upland cotton (Gossypium hirsutum L.).

Libei Li, Chi Zhang, Jianqin Huang, Qibao Liu, Hengling Wei, Hantao Wang, Guoyuan Liu, Lijiao Gu, Shuxun Yu

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

60 citing papers in PubMed.

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  5. Genome-Wide Identification and Expression Analysis of theInternational journal of molecular sciences · 2026
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  6. Review
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  10. Genome-Wide Identification ofPlants (Basel, Switzerland) · 2025
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  13. 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
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Libei LiState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Lin'an, Hangzhou.ORCID 0000-0003-1138-134X
Chi ZhangState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Lin'an, Hangzhou.
Jianqin HuangState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Lin'an, Hangzhou.
Qibao LiuState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Lin'an, Hangzhou.
Hengling WeiState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, Henan, China.
Hantao WangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, Henan, China.
Guoyuan LiuState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, Henan, China.ORCID 0000-0003-2811-108X
Lijiao GuState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, Henan, China.
Shuxun YuState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Lin'an, Hangzhou.ORCID 0000-0002-9715-3462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although upland cotton (Gossypium hirsutism L.) originated in the tropics, this early maturity cotton can be planted as far north as 46°N in China due to the accumulation of numerous phenotypic and physiological adaptations during domestication. However, how the genome of early maturity cotton has been altered by strong human selection remains largely unknown. Herein, we report a cotton genome variation map generated by the resequencing of 436 cotton accessions. Whole-genome scans for sweep regions identified 357 putative selection sweeps covering 4.94% (112 Mb) of the upland cotton genome, including 5184 genes. These genes were functionally related to flowering time control, hormone catabolism, ageing and defence response adaptations to environmental changes. A genome-wide association study (GWAS) for seven early maturity traits identified 307 significant loci, 22.48% (69) of which overlapped with putative selection sweeps that occurred during the artificial selection of early maturity cotton. Several previously undescribed candidate genes associated with early maturity were identified by GWAS. This study provides insights into the genetic basis of early maturity in upland cotton as well as breeding resources for cotton improvement.

Indexed as

Genome-Wide Association StudyGossypiumChinaCotton FiberGenome, PlantGenomicsGenotypePhenotypePlant BreedingQuantitative Trait Lociearly maturityflowering timegenome-wide association analysisupland cotton

Identifiers

PMID32652678
PMCPMC7769233

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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.