Literature DB >> 33669523

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

Alei Geng1, Meng Jin1, Nana Li1, Daochen Zhu1, Rongrong Xie1, Qianqian Wang1, Huaxing Lin1, Jianzhong Sun1.   

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.

Entities:  

Keywords:  Gephi; co-occurrence; glycoside hydrolases; network; prokaryotes

Year:  2021        PMID: 33669523     DOI: 10.3390/microorganisms9020427

Source DB:  PubMed          Journal:  Microorganisms        ISSN: 2076-2607


  1 in total

1.  Arabinan hydrolysis by GH43 enzymes of Hungateiclostridium clariflavum and the potential synergistic mechanisms.

Authors:  Alei Geng; Meng Jin; Nana Li; Zhuowei Tu; Daochen Zhu; Rongrong Xie; Qianqian Wang; Jianzhong Sun
Journal:  Appl Microbiol Biotechnol       Date:  2022-10-17       Impact factor: 5.560

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.