Evidence map›Paper›PMID 33839967›Full record

ArticlePlanta2021

Genome-wide association and transcriptome analysis of root color-related genes in Gossypium arboreum L.

Zibo Zhao, Daowu Hu, Muhammad Tehseen Azhar, Hongge Li, Chenhui Ma, Shoupu He, Xiaoyang Wang, Gaofei Sun, Tahir Mahmood, Washu Dev and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Genome-wide association study reveals that GhTRL1 and GhPIN8 affect cotton root development.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  3. 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

11 authors at 5 institutions in 2 countries.

Zibo Zhao *School of Agriculture Sciences, Zhengzhou University, Zhengzhou, 450000, Henan, China.
Daowu Hu *Institute of Cotton Research of Chinese Academy of Agricultural Science/State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China.
Muhammad Tehseen AzharInstitute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, 608000, Pakistan.
Hongge LiInstitute of Cotton Research of Chinese Academy of Agricultural Science/State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China.
Chenhui MaInstitute of Cotton Research of Chinese Academy of Agricultural Science/State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China.
Shoupu HeInstitute of Cotton Research of Chinese Academy of Agricultural Science/State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China.
Xiaoyang WangInstitute of Cotton Research of Chinese Academy of Agricultural Science/State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China.
Gaofei SunAnyang Institute of Technology, Anyang, 455000, China.
Tahir MahmoodInstitute of Cotton Research of Chinese Academy of Agricultural Science/State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China.
Washu DevInstitute of Cotton Research of Chinese Academy of Agricultural Science/State Key Laboratory of Cotton Biology, Anyang, 455000, Henan, China.
Xiongming DuSchool of Agriculture Sciences, Zhengzhou University, Zhengzhou, 450000, Henan, China. dujeffrey8848@hotmail.com.ORCID http://orcid.org/0000-0003-1704-2568
Cotton Research Institute · CNAnyang Institute of Technology · CNBahauddin Zakariya University · PKHenan University of Technology · CNZhengzhou University · CN

Funding

Central Public-interest Scientific Institution Basal Research Fund 1610162015B10Central Public-interest Scientific Institution Basal Research Fund 161016201704Crop germplasm Conservation program of Ministry of Agriculture 2015NWB039
6 · The paper itself

Abstract

MAIN

conclusionThe significant number loci and candidate genes of root color in Gossypium arboreum are identified and provide a theoretical basis of root color for cotton. A stimulating phenomenon was observed on the 4th day of sowing in the root color of some G. arboreum accessions that turned red. To disclose the genetic mechanisms of root color formation via genome and transcript levels, we identified the significant number of SNPs and candidate genes that are related to root color through genome-wide association study (GWAS) and RNAseq analysis in G. arboreum. Initially, 215 no. of G. arboreum accessions was collected, and the colors of root on the 4th, 6th and 9th day of germination were recorded. The GWAS demonstrated that 225 significant SNPs and 47 candidate genes have been identified totally. The strongest signal SNP A04_91824 could greatly distinguish the root color with most "C" allele accessions have displayed white and "T" allele accessions displayed red. RNAseq was performed on accessions having the white and red root, and results revealed that 12 and 138 DEGs were detected on 2nd and 4th day, respectively. ACD6, UFGT, and LYM2 were the most related genes of root color, later, verified by qRT-PCR. The mature zone of red and the white roots was observed by the histological section method, and results shown that cells were more closely arranged in the white root, and both average cell length and cell width were longer in the red root. This study will be helpful to cotton breeders for utilization of several elite genes and related SNPs related to root color, in addition to find linkage with economically important traits of interests.

Indexed as

Genome-Wide Association StudyGossypiumColorGene Expression ProfilingPhenotypePolymorphism, Single NucleotideGenome-wide association studiesHistological sectionRoot colorTranscriptome analysis

Identifiers

PMID33839967
OpenAlexW3155375725

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.