Evidence map›Paper›PMID 36775017›Full record

ArticleJournal of advanced research2023

Genome and haplotype provide insights into the population differentiation and breeding improvement of Gossypium barbadense.

Nian Wang, Yuanxue Li, Qingying Meng, Meilin Chen, Mi Wu, Ruiting Zhang, Zhiyong Xu, Jie Sun, Xianlong Zhang, Xinhui Nie and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advanced research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. 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
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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

12 authors.

Nian WangNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: wangnian@webmail.hzau.edu.cn.
Yuanxue LiNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: liyx1124@163.com.
Qingying MengNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: qymeng1996@foxmail.com.
Meilin ChenNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: 1204514079@qq.com.
Mi WuNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: wumi@webmail.hzau.edu.cn.
Ruiting ZhangNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: 934520453@qq.com.
Zhiyong XuNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: 17097462507@163.com.
Jie SunKey Laboratory of Oasis Ecology Agricultural of Xinjiang Bingtuan, College of Agriculture, Shihezi University, Shihezi 832000, Xinjiang, China. Electronic address: sunjie@shzu.edu.cn.
Xianlong ZhangNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: xlzhang@mail.hzau.edu.cn.
Xinhui NieKey Laboratory of Oasis Ecology Agricultural of Xinjiang Bingtuan, College of Agriculture, Shihezi University, Shihezi 832000, Xinjiang, China. Electronic address: xjnxh2004130@126.com.
Daojun YuanNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China. Electronic address: robert@mail.hzau.edu.cn.
Zhongxu LinNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China; Hubei Hongshan Laboratory, Wuhan 430070, China; Key Laboratory of Oasis Ecology Agricultural of Xinjiang Bingtuan, College of Agriculture, Shihezi University, Shihezi 832000, Xinjiang, China. Electronic address: linzhongxu@mail.hzau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSea-island cotton (Gossypium barbadense, Gb) is one of the major sources of high-grade natural fiber. Besides the common annual Gb cotton, perennial Gb cotton is also cultivated, but studies on perennial Gb cotton are rare.

objectivesWe aimed to make a systematic analysis of perennial sea-island cotton and lay a foundation for its utilization in breeding, and try to identify the representative structural variations (SVs) in sea-island cotton, and to reveal the population differentiation and adaptive improvement of sea-island cotton.

methodsThrough genome assembly of one perennial Gb cotton accession (named Gb_M210936) and comparative genome analysis, variations during Gb cotton domestication were identified by comparing Gb_M210936 with annual Gb accession 3-79 and with wild allotetraploid cotton G. darwinii. Six perennial Gb accessions combining with the resequenced 1,129 cotton accessions were used to conduct population and genetic analysis. Large haplotype blocks (haploblocks), generated from interspecific introgressions and intraspecific inversions, were identified and were used to analyze their effects on population differentiation and agronomic traits of sea-island cotton.

resultsOne reference genome of perennial sea-island cotton was assembled. Representative SVs in sea-island cotton were identified, and 31 SVs were found to be associated with agronomic traits. Perennial Gb cotton had a closer kinship with the wild-to-landrace continuum Gb cotton from south America where Gb cotton is originally domesticated. Haploblocks were associated with agronomic traits improvement of sea-island cotton, promoted sea-island cotton differentiation into three subgroups, were suffered from breeding selection, and may drive Gb cotton to be adapted to central Asian.

conclusionOur study made up the lack of perennial Gb cotton genome, and clarified that exotic introgressions improved the traits of sea-island cotton, promoted the population differentiation, and drove sea-island cotton adaptive to central Asia, which will provide new insights for the genetic breeding improvement of sea-island cottons.

Indexed as

GossypiumPlant BreedingGenome, PlantHaplotypesPhenotypeGossypium barbadenseHaplotypePerennial accessionPopulation structureSelection and domesticationStructural variation

Identifiers

PMID36775017
PMCPMC10703724

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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.