Evidence map›Paper›PMID 35886912›Full record

ArticleInternational journal of molecular sciences2022

Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition.

Xiao Han, Chenxu Gao, Lisen Liu, Yihao Zhang, Yuying Jin, Qingdi Yan, Lan Yang, Fuguang Li, Zhaoen Yang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Predicting Gene Regulatory Interactions Using Natural Genetic Variation.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  10. Review
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

9 authors at 2 institutions in 1 country.

Xiao HanState Key Laboratory of Cotton Biology, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Chenxu GaoZhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou 450001, China.
Lisen LiuState Key Laboratory of Cotton Biology, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Yihao ZhangState Key Laboratory of Cotton Biology, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Yuying JinState Key Laboratory of Cotton Biology, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Qingdi YanState Key Laboratory of Cotton Biology, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Lan YangState Key Laboratory of Cotton Biology, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Fuguang LiState Key Laboratory of Cotton Biology, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Zhaoen YangState Key Laboratory of Cotton Biology, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Chinese Academy of Agricultural Sciences · CNZhengzhou University · CN

Funding

Fuguang Li The Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences(CAASASTIPIVFCAAS)Zhaoen Yang National Key Research and Development Program( 2021YFF1000102)
6 · The paper itself

Abstract

The genus Gossypium is one of the most economically important crops in the world. Here, we used RNA-seq to quantify gene expression in a collection of G. arboreum seedlings and performed eGWAS on 28,382 expressed genes. We identified a total of 30,089 eQTLs in 10,485 genes, of which >90% were trans-regulate target genes. Using luciferase assays, we confirmed that different cis-eQTL haplotypes could affect promoter activity. We found ~6600 genes associated with ~1300 eQTL hotspots. Moreover, hotspot 309 regulates the expression of 325 genes with roles in stem length, fresh weight, seed germination rate, and genes related to cell wall biosynthesis and salt stress. Transcriptome-wide association study (TWAS) identified 19 candidate genes associated with the cotton growth and salt stress response. The variation in gene expression across the population played an essential role in population differentiation. Only a small number of the differentially expressed genes between South China, the Yangtze River region, and the Yellow River region sites were located in different chromosomal regions. The eQTLs found across the duplicated gene pairs showed conservative cis- or trans- regulation and that the expression levels of gene pairs were correlated. This study provides new insights into the evolution of gene expression regulation in cotton, and identifies eQTLs in stress-related genes for use in breeding improved cotton varieties.

Indexed as

Genome-Wide Association StudyGossypiumGene Expression Regulation, PlantPlant BreedingTranscriptomeeQTLGossypium arbouremhotspottranscriptomesTWAS

Identifiers

PMID35886912
PMCPMC9324452
OpenAlexW4284880607

What OpenQuestion holds

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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.