Evidence map›Paper›PMID 38647554›Full record

ArticleBioresources and bioprocessing2023

Differential transcriptome analysis of Sporocytophaga sp. CX11 and identification of candidate genes involved in lignocellulose degradation.

Jiwei Wang, Ying Zhuang, Xianghe Song, Xu Lin, Xiangyi Wang, Fan Yang, Xiaoyi Chen

Open access · diamondAbstract read
In one paragraph

Article in Bioresources and bioprocessing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 64% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

7 authors at 1 institution in 1 country.

Jiwei Wang *School of Biological Engineering, Dalian Polytechnic University, Ganjingziqu, Dalian, 116034, People's Republic of China.
Ying Zhuang *School of Biological Engineering, Dalian Polytechnic University, Ganjingziqu, Dalian, 116034, People's Republic of China.
Xianghe SongSchool of Biological Engineering, Dalian Polytechnic University, Ganjingziqu, Dalian, 116034, People's Republic of China.
Xu LinSchool of Biological Engineering, Dalian Polytechnic University, Ganjingziqu, Dalian, 116034, People's Republic of China.
Xiangyi WangSchool of Biological Engineering, Dalian Polytechnic University, Ganjingziqu, Dalian, 116034, People's Republic of China.
Fan YangSchool of Biological Engineering, Dalian Polytechnic University, Ganjingziqu, Dalian, 116034, People's Republic of China. yang_fan@dlpu.edu.cn.
Xiaoyi ChenSchool of Biological Engineering, Dalian Polytechnic University, Ganjingziqu, Dalian, 116034, People's Republic of China. chen-xy@dlpu.edu.cn.ORCID http://orcid.org/0000-0002-4428-4418
Dalian Polytechnic University · CN

Funding

Key Research Projects of The Educational Department of Liaoning Province LJKZZ20220061National Natural Science Foundation of China 31671796National Natural Science Foundation of China 31801469National Natural Science Foundation of China 32072160Science and Technology Department of Liaoning 2020-MS-276Science and Technology Department of Liaoning J2020041
6 · The paper itself

Abstract

Cellulose is the most abundant renewable bioresources on earth, and the biodegradation and utilization of cellulose would contribute to the sustainable development of global environment. Sporocytophaga species are common aerobic cellulose-degrading bacteria in soil, which can adhere to the surface of cellulose matrix and motile by gliding. In this study, a differential transcriptome analysis of Sporocytophaga sp. CX11 was performed and a total of 4,217 differentially expressed genes (DEGs) were identified. Gene Ontology enrichment results showed that there are three GO categories related to cellulose degradation function among the annotated DEGs. A total of 177 DEGs were identified as genes encoding carbohydrate-active enzymes (CAZymes), among which 54 significantly upregulated CAZymes were mainly cellulases, hemicellulases, pectinases, etc. 39 DEGs were screened to associate with gliding function. In order to explore unannotated genes potentially related to cellulose metabolism, cluster analysis was performed using the Short-Time Series Expression Miner algorithm (STEM). 281 unannotated genes were predicted to be associated with the initial-middle stage of cellulose degradation and 289 unannotated genes might function in the middle-last stage of cellulose degradation. Sporocytophaga sp. CX11 could produce extracellular endo-xylanase, endo-glucanase, FPase and β-glucosidase, respectively, according to different carbon source conditions. Altogether, this study provides valuable insights into the transcriptome information of Sporocytophaga sp. CX11, which would be useful to explore its application in biodegradation and utilization of cellulose resources.

Indexed as

Carbohydrate-active enzymesCellulose biodegradationDifferential transcriptome analysisGliding motilitySporocytophaga

Identifiers

PMID38647554
PMCPMC10992098
OpenAlexW4318485225

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.