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Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends

Recent reports have suggested that the establishment of industrially relevant enzyme collections from environmental genomes has become a routine procedure. Across the studies assessed, a mean number of approximately 44 active clones were obtained in an average size of approximately 53 000 clones tes...

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Autores principales: Ferrer, Manuel, Martínez‐Martínez, Mónica, Bargiela, Rafael, Streit, Wolfgang R., Golyshina, Olga V., Golyshin, Peter N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720405/
https://www.ncbi.nlm.nih.gov/pubmed/26275154
http://dx.doi.org/10.1111/1751-7915.12309
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author Ferrer, Manuel
Martínez‐Martínez, Mónica
Bargiela, Rafael
Streit, Wolfgang R.
Golyshina, Olga V.
Golyshin, Peter N.
author_facet Ferrer, Manuel
Martínez‐Martínez, Mónica
Bargiela, Rafael
Streit, Wolfgang R.
Golyshina, Olga V.
Golyshin, Peter N.
author_sort Ferrer, Manuel
collection PubMed
description Recent reports have suggested that the establishment of industrially relevant enzyme collections from environmental genomes has become a routine procedure. Across the studies assessed, a mean number of approximately 44 active clones were obtained in an average size of approximately 53 000 clones tested using naïve screening protocols. This number could be significantly increased in shorter times when novel metagenome enzyme sequences obtained by direct sequencing are selected and subjected to high‐throughput expression for subsequent production and characterization. The pre‐screening of clone libraries by naïve screens followed by the pyrosequencing of the inserts allowed for a 106‐fold increase in the success rate of identifying genes encoding enzymes of interest. However, a much longer time, usually on the order of years, is needed from the time of enzyme identification to the establishment of an industrial process. If the hit frequency for the identification of enzymes performing at high turnover rates under real application conditions could be increased while still covering a high natural diversity, the very expensive and time‐consuming enzyme optimization phase would likely be significantly shortened. At this point, it is important to review the current knowledge about the success of fine‐tuned naïve‐ and sequence‐based screening protocols for enzyme selection and to describe the environments worldwide that have already been subjected to enzyme screen programmes through metagenomic tools. Here, we provide such estimations and suggest the current challenges and future actions needed before environmental enzymes can be successfully introduced into the market.
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spelling pubmed-47204052016-01-28 Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends Ferrer, Manuel Martínez‐Martínez, Mónica Bargiela, Rafael Streit, Wolfgang R. Golyshina, Olga V. Golyshin, Peter N. Microb Biotechnol Minireview Recent reports have suggested that the establishment of industrially relevant enzyme collections from environmental genomes has become a routine procedure. Across the studies assessed, a mean number of approximately 44 active clones were obtained in an average size of approximately 53 000 clones tested using naïve screening protocols. This number could be significantly increased in shorter times when novel metagenome enzyme sequences obtained by direct sequencing are selected and subjected to high‐throughput expression for subsequent production and characterization. The pre‐screening of clone libraries by naïve screens followed by the pyrosequencing of the inserts allowed for a 106‐fold increase in the success rate of identifying genes encoding enzymes of interest. However, a much longer time, usually on the order of years, is needed from the time of enzyme identification to the establishment of an industrial process. If the hit frequency for the identification of enzymes performing at high turnover rates under real application conditions could be increased while still covering a high natural diversity, the very expensive and time‐consuming enzyme optimization phase would likely be significantly shortened. At this point, it is important to review the current knowledge about the success of fine‐tuned naïve‐ and sequence‐based screening protocols for enzyme selection and to describe the environments worldwide that have already been subjected to enzyme screen programmes through metagenomic tools. Here, we provide such estimations and suggest the current challenges and future actions needed before environmental enzymes can be successfully introduced into the market. John Wiley and Sons Inc. 2015-08-14 /pmc/articles/PMC4720405/ /pubmed/26275154 http://dx.doi.org/10.1111/1751-7915.12309 Text en © 2015 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Minireview
Ferrer, Manuel
Martínez‐Martínez, Mónica
Bargiela, Rafael
Streit, Wolfgang R.
Golyshina, Olga V.
Golyshin, Peter N.
Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends
title Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends
title_full Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends
title_fullStr Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends
title_full_unstemmed Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends
title_short Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends
title_sort estimating the success of enzyme bioprospecting through metagenomics: current status and future trends
topic Minireview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720405/
https://www.ncbi.nlm.nih.gov/pubmed/26275154
http://dx.doi.org/10.1111/1751-7915.12309
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