Evidence map›Paper›PMID 30231862›Full record

ArticleBMC plant biology2018

Exploring transcription factors reveals crucial members and regulatory networks involved in different abiotic stresses in Brassica napus L.

Pei Wang, Cuiling Yang, Hao Chen, Longhai Luo, Qiuli Leng, Shicong Li, Zujing Han, Xinchun Li, Chunpeng Song, Xiao Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  19. Statistical Identification of Important Nodes in Biological Systems.Journal of systems science and complexity · 2021
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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 4 institutions in 3 countries.

Pei WangKey Laboratory of Plant Stress Biology; School of Mathematics and Statistics; State Key Laboratory of Cotton Biology; College of Life Sciences; Institute of Applied Mathematics; Laboratory of Data Analysis Technology; Henan University, Kaifeng, Henan, 475004, China, Jinming avenue, Kaifeng, 475004, China.
Cuiling YangKey Laboratory of Plant Stress Biology; School of Mathematics and Statistics; State Key Laboratory of Cotton Biology; College of Life Sciences; Institute of Applied Mathematics; Laboratory of Data Analysis Technology; Henan University, Kaifeng, Henan, 475004, China, Jinming avenue, Kaifeng, 475004, China.
Hao ChenKey Laboratory of Plant Stress Biology; School of Mathematics and Statistics; State Key Laboratory of Cotton Biology; College of Life Sciences; Institute of Applied Mathematics; Laboratory of Data Analysis Technology; Henan University, Kaifeng, Henan, 475004, China, Jinming avenue, Kaifeng, 475004, China.
Longhai LuoBeijing igeneCode Biotech Co.,Ltd, Changping District Xisanqi Center for the Olympic Century, Beijing, 100096, China.
Qiuli LengKey Laboratory of Plant Stress Biology; School of Mathematics and Statistics; State Key Laboratory of Cotton Biology; College of Life Sciences; Institute of Applied Mathematics; Laboratory of Data Analysis Technology; Henan University, Kaifeng, Henan, 475004, China, Jinming avenue, Kaifeng, 475004, China.
Shicong LiKey Laboratory of Plant Stress Biology; School of Mathematics and Statistics; State Key Laboratory of Cotton Biology; College of Life Sciences; Institute of Applied Mathematics; Laboratory of Data Analysis Technology; Henan University, Kaifeng, Henan, 475004, China, Jinming avenue, Kaifeng, 475004, China.
Zujing HanBeijing igeneCode Biotech Co.,Ltd, Changping District Xisanqi Center for the Olympic Century, Beijing, 100096, China.
Xinchun LiBeijing igeneCode Biotech Co.,Ltd, Changping District Xisanqi Center for the Olympic Century, Beijing, 100096, China.
Chunpeng SongKey Laboratory of Plant Stress Biology; School of Mathematics and Statistics; State Key Laboratory of Cotton Biology; College of Life Sciences; Institute of Applied Mathematics; Laboratory of Data Analysis Technology; Henan University, Kaifeng, Henan, 475004, China, Jinming avenue, Kaifeng, 475004, China.
Xiao ZhangKey Laboratory of Plant Stress Biology; School of Mathematics and Statistics; State Key Laboratory of Cotton Biology; College of Life Sciences; Institute of Applied Mathematics; Laboratory of Data Analysis Technology; Henan University, Kaifeng, Henan, 475004, China, Jinming avenue, Kaifeng, 475004, China.
Daojie WangKey Laboratory of Plant Stress Biology; School of Mathematics and Statistics; State Key Laboratory of Cotton Biology; College of Life Sciences; Institute of Applied Mathematics; Laboratory of Data Analysis Technology; Henan University, Kaifeng, Henan, 475004, China, Jinming avenue, Kaifeng, 475004, China. wangdj@henu.edu.cn.
Cotton Research Institute · CNTechnical Data Analysis (United States) · USHenan University · CNState Key Laboratory of Cotton Biology

Funding

Henan science and technology research project 172102110005Major science and technology special projects of Henan Province 151100111200National Key Research and Development Program of China 2016YFD0101900National Natural Science Foundation of China 31671728National Natural Science Foundation of China 61773153The Basal Research Fund of Henan University yqpy20140049The Key Scientific Research Projects in Colleges and Universities of Henan 17A120002
6 · The paper itself

Abstract

backgroundBrassica napus (B. napus) encompasses diverse transcription factors (TFs), but thorough identification and characterization of TF families, as well as their transcriptional responsiveness to multifarious stresses are still not clear.

resultsTotally 2167 TFs belonging to five families were genome-widely identified in B. napus, including 518 BnAP2/EREBPs, 252 BnbZIPs, 721 BnMYBs, 398 BnNACs and 278 BnWRKYs, which contained some novel members in comparison with existing results. Sub-genome distributions of BnAP2/EREBPs and BnMYBs indicated that the two families might have suffered from duplication and divergence during evolution. Synteny analysis revealed strong co-linearity between B. napus and its two ancestors, although chromosomal rearrangements have occurred and 85 TFs were lost. About 7.6% and 9.4% TFs of the five families in B. napus were novel genes and conserved genes, which both showed preference on the C sub-genome. RNA-Seq revealed that more than 80% TFs were abiotic stress inducible and 315 crucial differentially expressed genes (DEGs) were screened out. Network analysis revealed that the 315 DEGs are highly co-expressed. The homologous gene network in A. thaliana revealed that a considerable amount of TFs could trigger the differential expression of targeted genes, resulting in a complex clustered network with clusters of genes responsible for targeted stress responsiveness.

conclusionsWe identified and characterized five TF families in B. napus. Some crucial members and regulatory networks involved in different abiotic stresses have been explored. The investigations deepen our understanding of TFs for stress tolerance in B. napus.

Indexed as

Brassica napusChromosome MappingChromosomes, PlantEvolution, MolecularGene Expression Regulation, PlantGene Regulatory NetworksGenome, PlantMultigene FamilyPhylogenyPlant ProteinsSequence Analysis, RNAStress, PhysiologicalTranscription FactorsPlant ProteinsTranscription FactorsAbiotic stressBrassica napusGene regulatory networkRNA-SeqTranscription factor

Identifiers

PMID30231862
PMCPMC6146658
OpenAlexW2890344238

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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.