Evidence map›Paper›PMID 30701323›Full record

ArticlePlanta2019

Gene co-expression network analysis identifies trait-related modules in Arabidopsis thaliana.

Wei Liu, Liping Lin, Zhiyuan Zhang, Siqi Liu, Kuan Gao, Yanbin Lv, Huan Tao, Huaqin He

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 38 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Wei LiuSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China. weilau@fafu.edu.cn.ORCID http://orcid.org/0000-0001-5659-6139
Liping LinSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China.
Zhiyuan ZhangSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China.
Siqi LiuSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China.
Kuan GaoSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China.
Yanbin LvSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China.
Huan TaoSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China.
Huaqin HeSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China. hehq3@fafu.edu.cn.
Fujian Agriculture and Forestry University · CN

Funding

National Natural Science Foundation of China 31270454National Natural Science Foundation of China 81502091Open Project of Key laboratory of Loquat Germplasm Innovation and Utilization, Putian University, Fujian Province 2017003
6 · The paper itself

Abstract

MAIN

conclusionA comprehensive network of the Arabidopsis transcriptome was analyzed and may serve as a valuable resource for candidate gene function investigations. A web tool to explore module information was also provided. Arabidopsis thaliana is a widely studied model plant whose transcriptome has been substantially profiled in various tissues, development stages and other conditions. These data can be reused for research on gene function through a systematic analysis of gene co-expression relationships. We collected microarray data from National Center for Biotechnology Information Gene Expression Omnibus, identified modules of co-expressed genes and annotated module functions. These modules were associated with experiments/traits, which provided potential signature modules for phenotypes. Novel heat shock proteins were implicated according to guilt by association. A higher-order module networks analysis suggested that the Arabidopsis network can be further organized into 15 meta-modules and that a chloroplast meta-module has a distinct gene expression pattern from the other 14 meta-modules. A comparison with the rice transcriptome revealed preserved modules and KEGG pathways. All the module gene information was available from an online tool at http://bioinformatics.fafu.edu.cn/arabi/ . Our findings provide a new source for future gene discovery in Arabidopsis.

Indexed as

ArabidopsisCluster AnalysisComputational BiologyGene Expression ProfilingGene Expression Regulation, PlantPromoter Regions, GeneticTranscriptomeConservationHub geneRiceTranscriptome

Identifiers

PMID30701323
OpenAlexW2913265157

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.