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FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology
BACKGROUND: More and more completely sequenced fungal genomes are becoming available and many more sequencing projects are in progress. This deluge of data should improve our knowledge of the various primary and secondary metabolisms of Fungi, including their synthesis of useful compounds such as an...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829015/ https://www.ncbi.nlm.nih.gov/pubmed/20122162 http://dx.doi.org/10.1186/1471-2164-11-81 |
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author | Grossetête, Sandrine Labedan, Bernard Lespinet, Olivier |
author_facet | Grossetête, Sandrine Labedan, Bernard Lespinet, Olivier |
author_sort | Grossetête, Sandrine |
collection | PubMed |
description | BACKGROUND: More and more completely sequenced fungal genomes are becoming available and many more sequencing projects are in progress. This deluge of data should improve our knowledge of the various primary and secondary metabolisms of Fungi, including their synthesis of useful compounds such as antibiotics or toxic molecules such as mycotoxins. Functional annotation of many fungal genomes is imperfect, especially of genes encoding enzymes, so we need dedicated tools to analyze their metabolic pathways in depth. DESCRIPTION: FUNGIpath is a new tool built using a two-stage approach. Groups of orthologous proteins predicted using complementary methods of detection were collected in a relational database. Each group was further mapped on to steps in the metabolic pathways published in the public databases KEGG and MetaCyc. As a result, FUNGIpath allows the primary and secondary metabolisms of the different fungal species represented in the database to be compared easily, making it possible to assess the level of specificity of various pathways at different taxonomic distances. It is freely accessible at http://www.fungipath.u-psud.fr. CONCLUSIONS: As more and more fungal genomes are expected to be sequenced during the coming years, FUNGIpath should help progressively to reconstruct the ancestral primary and secondary metabolisms of the main branches of the fungal tree of life and to elucidate the evolution of these ancestral fungal metabolisms to various specific derived metabolisms. |
format | Text |
id | pubmed-2829015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28290152010-02-26 FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology Grossetête, Sandrine Labedan, Bernard Lespinet, Olivier BMC Genomics Database BACKGROUND: More and more completely sequenced fungal genomes are becoming available and many more sequencing projects are in progress. This deluge of data should improve our knowledge of the various primary and secondary metabolisms of Fungi, including their synthesis of useful compounds such as antibiotics or toxic molecules such as mycotoxins. Functional annotation of many fungal genomes is imperfect, especially of genes encoding enzymes, so we need dedicated tools to analyze their metabolic pathways in depth. DESCRIPTION: FUNGIpath is a new tool built using a two-stage approach. Groups of orthologous proteins predicted using complementary methods of detection were collected in a relational database. Each group was further mapped on to steps in the metabolic pathways published in the public databases KEGG and MetaCyc. As a result, FUNGIpath allows the primary and secondary metabolisms of the different fungal species represented in the database to be compared easily, making it possible to assess the level of specificity of various pathways at different taxonomic distances. It is freely accessible at http://www.fungipath.u-psud.fr. CONCLUSIONS: As more and more fungal genomes are expected to be sequenced during the coming years, FUNGIpath should help progressively to reconstruct the ancestral primary and secondary metabolisms of the main branches of the fungal tree of life and to elucidate the evolution of these ancestral fungal metabolisms to various specific derived metabolisms. BioMed Central 2010-02-01 /pmc/articles/PMC2829015/ /pubmed/20122162 http://dx.doi.org/10.1186/1471-2164-11-81 Text en Copyright ©2010 Grossetête et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Grossetête, Sandrine Labedan, Bernard Lespinet, Olivier FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology |
title | FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology |
title_full | FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology |
title_fullStr | FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology |
title_full_unstemmed | FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology |
title_short | FUNGIpath: a tool to assess fungal metabolic pathways predicted by orthology |
title_sort | fungipath: a tool to assess fungal metabolic pathways predicted by orthology |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829015/ https://www.ncbi.nlm.nih.gov/pubmed/20122162 http://dx.doi.org/10.1186/1471-2164-11-81 |
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