Title : Metagenomic Screening for Lipolytic Genes Reveals an Ecology-Clustered Distribution Pattern - Lu_2022_Front.Microbiol_13_851969
Author(s) : Lu M , Schneider D , Daniel R
Ref : Front Microbiol , 13 :851969 , 2022
Abstract :

Lipolytic enzymes are one of the most important enzyme types for application in various industrial processes. Despite the continuously increasing demand, only a small portion of the so far encountered lipolytic enzymes exhibit adequate stability and activities for biotechnological applications. To explore novel and/or extremophilic lipolytic enzymes, microbial consortia in two composts at thermophilic stage were analyzed using function-driven and sequence-based metagenomic approaches. Analysis of community composition by amplicon-based 16S rRNA genes and transcripts, and direct metagenome sequencing revealed that the communities of the compost samples were dominated by members of the phyla Actinobacteria, Proteobacteria, Firmicutes, Bacteroidetes, and Chloroflexi. Function-driven screening of the metagenomic libraries constructed from the two samples yielded 115 unique lipolytic enzymes. The family assignment of these enzymes was conducted by analyzing the phylogenetic relationship and generation of a protein sequence similarity network according to an integrated classification system. The sequence-based screening was performed by using a newly developed database, containing a set of profile Hidden Markov models, highly sensitive and specific for detection of lipolytic enzymes. By comparing the lipolytic enzymes identified through both approaches, we demonstrated that the activity-directed complements sequence-based detection, and vice versa. The sequence-based comparative analysis of lipolytic genes regarding diversity, function and taxonomic origin derived from 175 metagenomes indicated significant differences between habitats. Analysis of the prevalent and distinct microbial groups providing the lipolytic genes revealed characteristic patterns and groups driven by ecological factors. The here presented data suggests that the diversity and distribution of lipolytic genes in metagenomes of various habitats are largely constrained by ecological factors.

PubMedSearch : Lu_2022_Front.Microbiol_13_851969
PubMedID: 35756004
Gene_locus related to this paper: 9bact-estC55.154 , 9bact-a0a0n9qch2 , pseth-a0a1m6y2k1 , rhom4-d0mhw6 , thet2-q72j75 , theth-TT1662 , 9bact-estC55.42 , 9bact-estC76.136 , 9bact-estC55.118 , 9bact-estC55.62 , 9bact-estC55.268 , 9bact-estC55.52 , 9bact-estC55.3 , 9bact-estC55.235 , 9bact-estC55.90 , 9bact-estC55.102 , 9bact-estC55.145 , 9bact-estC55.105 , 9bact-estC55.151 , 9bact-estC55.71 , 9bact-estC55.88 , 9bact-estC55.156 , 9bact-estC55.169 , 9bact-estC76.202 , 9bact-estC55.165 , 9bact-estC55.241 , 9bact-estC55.78 , 9bact-estC55.8n1 , 9bact-estC55.56 , 9bact-estC55.60 , 9bact-estC55.5 , 9bact-estC55.19n1 , 9bact-estC55.253 , 9bact-estC55.95 , 9bact-estC55.13 , 9bact-estC55.77 , 9bact-estC55.229 , 9bact-estC55.167 , 9bact-estC55.234 , 9bact-estC55.25 , 9bact-estC55.76 , 9bact-estC55.19n2 , 9bact-estC55.8n2 , 9bact-estC55.20 , 9bact-estC55.96 , 9bact-estC55.2 , 9bact-estC55.4n1 , 9bact-estC55.23 , 9bact-estC55.57 , 9bact-estC55.197 , 9bact-estC76.263 , 9bact-estC55.227 , 9bact-estC55.159 , 9bact-estC55.51 , 9bact-estC55.31 , 9bact-estC55.215 , 9bact-estC55.34 , 9bact-estC55.244 , 9bact-estC55.81 , 9bact-estC55.24 , 9bact-estC55.12 , 9bact-estC55.15 , 9bact-estC55.231 , 9bact-estC55.97 , 9bact-estC76.135 , 9bact-estC76.266n2 , 9bact-estC76.28n1 , 9bact-estC76.177 , 9bact-estC76.137 , 9bact-estC76.266n1 , 9bact-estC76.248 , 9bact-estC76.221

Related information

Gene_locus 9bact-estC55.154    9bact-a0a0n9qch2    pseth-a0a1m6y2k1    rhom4-d0mhw6    thet2-q72j75    theth-TT1662    9bact-estC55.42    9bact-estC76.136    9bact-estC55.118    9bact-estC55.62    9bact-estC55.268    9bact-estC55.52    9bact-estC55.3    9bact-estC55.235    9bact-estC55.90    9bact-estC55.102    9bact-estC55.145    9bact-estC55.105    9bact-estC55.151    9bact-estC55.71    9bact-estC55.88    9bact-estC55.156    9bact-estC55.169    9bact-estC76.202    9bact-estC55.165    9bact-estC55.241    9bact-estC55.78    9bact-estC55.8n1    9bact-estC55.56    9bact-estC55.60    9bact-estC55.5    9bact-estC55.19n1    9bact-estC55.253    9bact-estC55.95    9bact-estC55.13    9bact-estC55.77    9bact-estC55.229    9bact-estC55.167    9bact-estC55.234    9bact-estC55.25    9bact-estC55.76    9bact-estC55.19n2    9bact-estC55.8n2    9bact-estC55.20    9bact-estC55.96    9bact-estC55.2    9bact-estC55.4n1    9bact-estC55.23    9bact-estC55.57    9bact-estC55.197    9bact-estC76.263    9bact-estC55.227    9bact-estC55.159    9bact-estC55.51    9bact-estC55.31    9bact-estC55.215    9bact-estC55.34    9bact-estC55.244    9bact-estC55.81    9bact-estC55.24    9bact-estC55.12    9bact-estC55.15    9bact-estC55.231    9bact-estC55.97    9bact-estC76.135    9bact-estC76.266n2    9bact-estC76.28n1    9bact-estC76.177    9bact-estC76.137    9bact-estC76.266n1    9bact-estC76.248    9bact-estC76.221

Citations formats

Lu M, Schneider D, Daniel R (2022)
Metagenomic Screening for Lipolytic Genes Reveals an Ecology-Clustered Distribution Pattern
Front Microbiol 13 :851969

Lu M, Schneider D, Daniel R (2022)
Front Microbiol 13 :851969