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PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation

The number of publications reporting putative plastic-degrading microbes and proteins is continuously increasing, necessitating the compilation of these data and the development of tools to facilitate their analysis. We developed the PlasticDB web application to address this need, which comprises a...

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Autores principales: Gambarini, Victor, Pantos, Olga, Kingsbury, Joanne M, Weaver, Louise, Handley, Kim M, Lear, Gavin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216477/
https://www.ncbi.nlm.nih.gov/pubmed/35266524
http://dx.doi.org/10.1093/database/baac008
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author Gambarini, Victor
Pantos, Olga
Kingsbury, Joanne M
Weaver, Louise
Handley, Kim M
Lear, Gavin
author_facet Gambarini, Victor
Pantos, Olga
Kingsbury, Joanne M
Weaver, Louise
Handley, Kim M
Lear, Gavin
author_sort Gambarini, Victor
collection PubMed
description The number of publications reporting putative plastic-degrading microbes and proteins is continuously increasing, necessitating the compilation of these data and the development of tools to facilitate their analysis. We developed the PlasticDB web application to address this need, which comprises a database of microorganisms and proteins reported to biodegrade plastics. Associated metadata, such as the techniques utilized to assess biodegradation, the environmental source of microbial isolate and presumed thermophilic traits are also reported. Proteins in the database are categorized according to the plastic type they are reported to degrade. Each protein structure has been predicted in silico and can be visualized or downloaded for further investigation. In addition to standard database functionalities, such as searching, filtering and retrieving database records, we implemented several analytical tools that accept inputs, including gene, genome, metagenome, transcriptomes, metatranscriptomes and taxa table data. Users can now analyze their datasets for the presence of putative plastic-degrading species and potential plastic-degrading proteins and pathways from those species. Database URL:http://plasticdb.org.
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spelling pubmed-92164772022-06-23 PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation Gambarini, Victor Pantos, Olga Kingsbury, Joanne M Weaver, Louise Handley, Kim M Lear, Gavin Database (Oxford) Database Tool The number of publications reporting putative plastic-degrading microbes and proteins is continuously increasing, necessitating the compilation of these data and the development of tools to facilitate their analysis. We developed the PlasticDB web application to address this need, which comprises a database of microorganisms and proteins reported to biodegrade plastics. Associated metadata, such as the techniques utilized to assess biodegradation, the environmental source of microbial isolate and presumed thermophilic traits are also reported. Proteins in the database are categorized according to the plastic type they are reported to degrade. Each protein structure has been predicted in silico and can be visualized or downloaded for further investigation. In addition to standard database functionalities, such as searching, filtering and retrieving database records, we implemented several analytical tools that accept inputs, including gene, genome, metagenome, transcriptomes, metatranscriptomes and taxa table data. Users can now analyze their datasets for the presence of putative plastic-degrading species and potential plastic-degrading proteins and pathways from those species. Database URL:http://plasticdb.org. Oxford University Press 2022-03-09 /pmc/articles/PMC9216477/ /pubmed/35266524 http://dx.doi.org/10.1093/database/baac008 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Tool
Gambarini, Victor
Pantos, Olga
Kingsbury, Joanne M
Weaver, Louise
Handley, Kim M
Lear, Gavin
PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation
title PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation
title_full PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation
title_fullStr PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation
title_full_unstemmed PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation
title_short PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation
title_sort plasticdb: a database of microorganisms and proteins linked to plastic biodegradation
topic Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216477/
https://www.ncbi.nlm.nih.gov/pubmed/35266524
http://dx.doi.org/10.1093/database/baac008
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