Evidence map›Paper›PMID 31937242›Full record

ArticleBMC plant biology2020

Genome-wide association reveals genetic variation of lint yield components under salty field conditions in cotton (Gossypium hirsutum L.).

Guozhong Zhu, Wenwei Gao, Xiaohui Song, Fenglei Sun, Sen Hou, Na Liu, Yajie Huang, Dayong Zhang, Zhiyong Ni, Quanjia Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
19.7field-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

20 citing papers in PubMed, 57 citations in OpenAlex.

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  2. Characterization of the SoybeanPlants (Basel, Switzerland) · 2025
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  6. Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  7. Genome-Wide Association Study of Lint Percentage inInternational journal of molecular sciences · 2023
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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

11 authors at 2 institutions in 1 country.

Guozhong ZhuState Key Laboratory of Crop Genetics and Germplasm Enhancement, Engineering Research Center of Hybrid Cotton Development (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China.
Wenwei GaoEngineering Research Center for Cotton (the Ministry of Education), Xinjiang Agricultural University, Urumqi, 830052, China.
Xiaohui SongState Key Laboratory of Crop Genetics and Germplasm Enhancement, Engineering Research Center of Hybrid Cotton Development (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China.
Fenglei SunEngineering Research Center for Cotton (the Ministry of Education), Xinjiang Agricultural University, Urumqi, 830052, China.
Sen HouState Key Laboratory of Crop Genetics and Germplasm Enhancement, Engineering Research Center of Hybrid Cotton Development (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China.
Na LiuEngineering Research Center for Cotton (the Ministry of Education), Xinjiang Agricultural University, Urumqi, 830052, China.
Yajie HuangEngineering Research Center for Cotton (the Ministry of Education), Xinjiang Agricultural University, Urumqi, 830052, China.
Dayong ZhangState Key Laboratory of Crop Genetics and Germplasm Enhancement, Engineering Research Center of Hybrid Cotton Development (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China.
Zhiyong NiEngineering Research Center for Cotton (the Ministry of Education), Xinjiang Agricultural University, Urumqi, 830052, China.
Quanjia ChenEngineering Research Center for Cotton (the Ministry of Education), Xinjiang Agricultural University, Urumqi, 830052, China. chqjia@126.com.
Wangzhen GuoState Key Laboratory of Crop Genetics and Germplasm Enhancement, Engineering Research Center of Hybrid Cotton Development (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China. moelab@njau.edu.cn.ORCID http://orcid.org/0000-0003-3333-7147
Xinjiang Agricultural University · CNNanjing Agricultural University · CN

Funding

Jiangsu Collaborative Innovation Center for Modern Crop Production project No. 10-National Key R & D Program for Crop Breeding 2018YFD0100400National Natural Science Foundation in China 31771885the Fundamental Research Funds for the Central Universities KYYJ201801the Fundamental Research Funds for the Central Universities KYYJ201901the National Transgenic Program 2018ZX0800918BTianshan Youth Program in Xinjiang Uygur Autonomous Region 2018Q016
6 · The paper itself

Abstract

backgroundSalinity is one of the most significant environmental factors limiting the productivity of cotton. However, the key genetic components responsible for the reduction in cotton yield in saline-alkali soils are still unclear.

resultsHere, we evaluated three main components of lint yield, single boll weight (SBW), lint percentage (LP) and boll number per plant (BNPP), across 316 G. hirsutum accessions under four salt conditions over two years. Phenotypic analysis indicated that LP was unchanged under different salt conditions, however BNPP decreased significantly and SBW increased slightly under high salt conditions. Based on 57,413 high-quality single nucleotide polymorphisms (SNPs) and genome-wide association study (GWAS) analysis, a total of 42, 91 and 25 stable quantitative trait loci (QTLs) were identified for SBW, LP and BNPP, respectively. Phenotypic and QTL analysis suggested that there was little correlation among the three traits. For LP, 8 stable QTLs were detected simultaneously in four different salt conditions, while fewer repeated QTLs for SBW or BNPP were identified. Gene Ontology (GO) analysis indicated that their regulatory mechanisms were also quite different. Via transcriptome profile data, we detected that 10 genes from the 8 stable LP QTLs were predominantly expressed during fiber development. Further, haplotype analyses found that a MYB gene (GhMYB103), with the two SNP variations in cis-regulatory and coding regions, was significantly correlated with lint percentage, implying a crucial role in lint yield. We also identified that 40 candidate genes from BNPP QTLs were salt-inducible. Genes related to carbohydrate metabolism and cell structure maintenance were rich in plants grown in high salt conditions, while genes related to ion transport were active in plants grown in low salt conditions, implying different regulatory mechanisms for BNPP at high and low salt conditions.

conclusionsThis study provides a foundation for elucidating cotton salt tolerance mechanisms and contributes gene resources for developing upland cotton varieties with high yields and salt stress tolerance.

Indexed as

Genetic VariationCotton FiberGenome-Wide Association StudyGossypiumSalinitySoilSoilBoll number per plantBoll weight per plantGenome-wide association studyGossypium hirsutumLint percentageSalt stressTranscriptome analysis

Identifiers

PMID31937242
PMCPMC6961271
OpenAlexW3011912056

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LicenceCC BY
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Registered trials

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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.