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Mining bacterial genomes for novel arylesterase activity
One hundred and seventy‐one genes encoding potential esterases from 11 bacterial genomes were cloned and overexpressed in Escherichia coli; 74 of the clones produced soluble proteins. All 74 soluble proteins were purified and screened for esterase activity; 36 proteins showed carboxyl esterase activ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3815341/ https://www.ncbi.nlm.nih.gov/pubmed/21255363 http://dx.doi.org/10.1111/j.1751-7915.2010.00185.x |
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author | Wang, Lijun Mavisakalyan, Valentina Tillier, Elisabeth R. M. Clark, Greg W. Savchenko, Alexei V. Yakunin, Alexander F. Master, Emma R. |
author_facet | Wang, Lijun Mavisakalyan, Valentina Tillier, Elisabeth R. M. Clark, Greg W. Savchenko, Alexei V. Yakunin, Alexander F. Master, Emma R. |
author_sort | Wang, Lijun |
collection | PubMed |
description | One hundred and seventy‐one genes encoding potential esterases from 11 bacterial genomes were cloned and overexpressed in Escherichia coli; 74 of the clones produced soluble proteins. All 74 soluble proteins were purified and screened for esterase activity; 36 proteins showed carboxyl esterase activity on short‐chain esters, 17 demonstrated arylesterase activity, while 38 proteins did not exhibit any activity towards the test substrates. Esterases from Rhodopseudomonas palustris (RpEST‐1, RpEST‐2 and RpEST‐3), Pseudomonas putida (PpEST‐1, PpEST‐2 and PpEST‐3), Pseudomonas aeruginosa (PaEST‐1) and Streptomyces avermitilis (SavEST‐1) were selected for detailed biochemical characterization. All of the enzymes showed optimal activity at neutral or alkaline pH, and the half‐life of each enzyme at 50°C ranged from < 5 min to over 5 h. PpEST‐3, RpEST‐1 and RpEST‐2 demonstrated the highest specific activity with pNP‐esters; these enzymes were also among the most stable at 50°C and in the presence of detergents, polar and non‐polar organic solvents, and imidazolium ionic liquids. Accordingly, these enzymes are particularly interesting targets for subsequent application trials. Finally, biochemical and bioinformatic analyses were compared to reveal sequence features that could be correlated to enzymes with arylesterase activity, facilitating subsequent searches for new esterases in microbial genome sequences. |
format | Online Article Text |
id | pubmed-3815341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-38153412014-02-12 Mining bacterial genomes for novel arylesterase activity Wang, Lijun Mavisakalyan, Valentina Tillier, Elisabeth R. M. Clark, Greg W. Savchenko, Alexei V. Yakunin, Alexander F. Master, Emma R. Microb Biotechnol Research Articles One hundred and seventy‐one genes encoding potential esterases from 11 bacterial genomes were cloned and overexpressed in Escherichia coli; 74 of the clones produced soluble proteins. All 74 soluble proteins were purified and screened for esterase activity; 36 proteins showed carboxyl esterase activity on short‐chain esters, 17 demonstrated arylesterase activity, while 38 proteins did not exhibit any activity towards the test substrates. Esterases from Rhodopseudomonas palustris (RpEST‐1, RpEST‐2 and RpEST‐3), Pseudomonas putida (PpEST‐1, PpEST‐2 and PpEST‐3), Pseudomonas aeruginosa (PaEST‐1) and Streptomyces avermitilis (SavEST‐1) were selected for detailed biochemical characterization. All of the enzymes showed optimal activity at neutral or alkaline pH, and the half‐life of each enzyme at 50°C ranged from < 5 min to over 5 h. PpEST‐3, RpEST‐1 and RpEST‐2 demonstrated the highest specific activity with pNP‐esters; these enzymes were also among the most stable at 50°C and in the presence of detergents, polar and non‐polar organic solvents, and imidazolium ionic liquids. Accordingly, these enzymes are particularly interesting targets for subsequent application trials. Finally, biochemical and bioinformatic analyses were compared to reveal sequence features that could be correlated to enzymes with arylesterase activity, facilitating subsequent searches for new esterases in microbial genome sequences. Blackwell Publishing Ltd 2010-11 2010-10-22 /pmc/articles/PMC3815341/ /pubmed/21255363 http://dx.doi.org/10.1111/j.1751-7915.2010.00185.x Text en Copyright © 2010 The Authors. Journal compilation © 2010 Society for Applied Microbiology and Blackwell Publishing Ltd |
spellingShingle | Research Articles Wang, Lijun Mavisakalyan, Valentina Tillier, Elisabeth R. M. Clark, Greg W. Savchenko, Alexei V. Yakunin, Alexander F. Master, Emma R. Mining bacterial genomes for novel arylesterase activity |
title | Mining bacterial genomes for novel arylesterase activity |
title_full | Mining bacterial genomes for novel arylesterase activity |
title_fullStr | Mining bacterial genomes for novel arylesterase activity |
title_full_unstemmed | Mining bacterial genomes for novel arylesterase activity |
title_short | Mining bacterial genomes for novel arylesterase activity |
title_sort | mining bacterial genomes for novel arylesterase activity |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3815341/ https://www.ncbi.nlm.nih.gov/pubmed/21255363 http://dx.doi.org/10.1111/j.1751-7915.2010.00185.x |
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