Evidence map›Paper›PMID 32546133›Full record

ArticleBMC genomics2020

Gene coexpression network analysis and tissue-specific profiling of gene expression in jute (Corchorus capsularis L.).

Zemao Yang, Zhigang Dai, Xiaojun Chen, Dongwei Xie, Qing Tang, Chaohua Cheng, Ying Xu, Canhui Deng, Chan Liu, Jiquan Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 12 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

11 authors at 2 institutions in 1 country.

Zemao YangInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China. yangzemao@caas.cn.
Zhigang DaiInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Xiaojun ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Dongwei XieInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Qing TangInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Chaohua ChengInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Ying XuInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Canhui DengInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Chan LiuInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Jiquan ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China.
Jianguang SuInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences / Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205, People's Republic of China. zhongzhiziyuan@aliyun.com.
Chinese Academy of Agricultural Sciences · CNInstitute of Bast Fiber Crops · CN

Funding

Germplasm Resources Protection Project 2016NWB044National hemp industry technical system CARS-16-E01National Natural Science Foundation of China 31601351Natural Science Foundation of Hunan Province (CN) 2017JJ3350Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences CAAS-ASTIP-2017-IBFC01 and CAAS-XTCX2016016-2
6 · The paper itself

Abstract

backgroundJute (Corchorus spp.), belonging to the Malvaceae family, is an important natural fiber crop, second only to cotton, and a multipurpose economic crop. Corchorus capsularis L. is one of the only two commercially cultivated species of jute. Gene expression is spatiotemporal and is influenced by many factors. Therefore, to understand the molecular mechanisms of tissue development, it is necessary to study tissue-specific gene expression and regulation. We used weighted gene coexpression network analysis, to predict the functional roles of gene coexpression modules and individual genes, including those underlying the development of different tissue types. Although several transcriptome studies have been conducted on C. capsularis, there have not yet been any systematic and comprehensive transcriptome analyses for this species.

resultsThere was significant variation in gene expression between plant tissues. Comparative transcriptome analysis and weighted gene coexpression network analysis were performed for different C. capsularis tissues at different developmental stages. We identified numerous tissue-specific differentially expressed genes for each tissue, and 12 coexpression modules, comprising 126 to 4203 genes, associated with the development of various tissues. There was high consistency between the genes in modules related to tissues, and the candidate upregulated genes for each tissue. Further, a gene network including 21 genes directly regulated by transcription factor OMO55970.1 was discovered. Some of the genes, such as OMO55970.1, OMO51203.1, OMO50871.1, and OMO87663.1, directly involved in the development of stem bast tissue.

conclusionWe identified genes that were differentially expressed between tissues of the same developmental stage. Some genes were consistently up- or downregulated, depending on the developmental stage of each tissue. Further, we identified numerous coexpression modules and genes associated with the development of various tissues. These findings elucidate the molecular mechanisms underlying the development of each tissue, and will promote multipurpose molecular breeding in jute and other fiber crops.

Indexed as

Gene Expression Regulation, PlantGene Regulatory NetworksGenes, PlantCorchorusGene Expression ProfilingOrgan SpecificityRNA, PlantRNA, PlantComparative transcriptome analysisFiber cropJuteRNA-seqWGCNA

Identifiers

PMID32546133
PMCPMC7298812
OpenAlexW3035561711

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.