Evidence map›Paper›PMID 33669523›Full record

ArticleMicroorganisms2021

New Insights into the Co-Occurrences of Glycoside Hydrolase Genes among Prokaryotic Genomes through Network Analysis.

Alei Geng, Meng Jin, Nana Li, Daochen Zhu, Rongrong Xie, Qianqian Wang, Huaxing Lin, Jianzhong Sun

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 1 institution in 1 country.

Alei GengBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0002-1877-1298
Meng JinBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Nana LiBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Daochen ZhuBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0001-9646-9556
Rongrong XieBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Qianqian WangBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Huaxing LinBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Jianzhong SunBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Jiangsu University · CN

Funding

the National Key R&D Program of China 2018YFE0107100
6 · The paper itself

Abstract

Glycoside hydrolase (GH) represents a crucial category of enzymes for carbohydrate utilization in most organisms. A series of glycoside hydrolase families (GHFs) have been classified, with relevant information deposited in the CAZy database. Statistical analysis indicated that most GHFs (134 out of 154) were prone to exist in bacteria rather than archaea, in terms of both occurrence frequencies and average gene numbers. Co-occurrence analysis suggested the existence of strong or moderate-strong correlations among 63 GHFs. A combination of network analysis by Gephi and functional classification among these GHFs demonstrated the presence of 12 functional categories (from group A to L), with which the corresponding microbial collections were subsequently labeled, respectively. Interestingly, a progressive enrichment of particular GHFs was found among several types of microbes, and type-L as well as type-E microbes were deemed as functional intensified species which formed during the microbial evolution process toward efficient decomposition of lignocellulose as well as pectin, respectively. Overall, integrating network analysis and enzymatic functional classification, we were able to provide a new angle of view for GHs from known prokaryotic genomes, and thus this study is likely to guide the selection of GHs and microbes for efficient biomass utilization.

Indexed as

co-occurrenceGephiglycoside hydrolasesnetworkprokaryotes

Identifiers

PMID33669523
PMCPMC7922503
OpenAlexW3131447572

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.