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CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation
Many pathways for hydrocarbon degradation have been discovered, yet there are no dedicated tools to identify and predict the hydrocarbon degradation potential of microbial genomes and metagenomes. Here we present the Calgary approach to ANnoTating HYDrocarbon degradation genes (CANT-HYD), a database...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767102/ https://www.ncbi.nlm.nih.gov/pubmed/35069469 http://dx.doi.org/10.3389/fmicb.2021.764058 |
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author | Khot, Varada Zorz, Jackie Gittins, Daniel A. Chakraborty, Anirban Bell, Emma Bautista, María A. Paquette, Alexandre J. Hawley, Alyse K. Novotnik, Breda Hubert, Casey R. J. Strous, Marc Bhatnagar, Srijak |
author_facet | Khot, Varada Zorz, Jackie Gittins, Daniel A. Chakraborty, Anirban Bell, Emma Bautista, María A. Paquette, Alexandre J. Hawley, Alyse K. Novotnik, Breda Hubert, Casey R. J. Strous, Marc Bhatnagar, Srijak |
author_sort | Khot, Varada |
collection | PubMed |
description | Many pathways for hydrocarbon degradation have been discovered, yet there are no dedicated tools to identify and predict the hydrocarbon degradation potential of microbial genomes and metagenomes. Here we present the Calgary approach to ANnoTating HYDrocarbon degradation genes (CANT-HYD), a database of 37 HMMs of marker genes involved in anaerobic and aerobic degradation pathways of aliphatic and aromatic hydrocarbons. Using this database, we identify understudied or overlooked hydrocarbon degradation potential in many phyla. We also demonstrate its application in analyzing high-throughput sequence data by predicting hydrocarbon utilization in large metagenomic datasets from diverse environments. CANT-HYD is available at https://github.com/dgittins/CANT-HYD-HydrocarbonBiodegradation. |
format | Online Article Text |
id | pubmed-8767102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87671022022-01-20 CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation Khot, Varada Zorz, Jackie Gittins, Daniel A. Chakraborty, Anirban Bell, Emma Bautista, María A. Paquette, Alexandre J. Hawley, Alyse K. Novotnik, Breda Hubert, Casey R. J. Strous, Marc Bhatnagar, Srijak Front Microbiol Microbiology Many pathways for hydrocarbon degradation have been discovered, yet there are no dedicated tools to identify and predict the hydrocarbon degradation potential of microbial genomes and metagenomes. Here we present the Calgary approach to ANnoTating HYDrocarbon degradation genes (CANT-HYD), a database of 37 HMMs of marker genes involved in anaerobic and aerobic degradation pathways of aliphatic and aromatic hydrocarbons. Using this database, we identify understudied or overlooked hydrocarbon degradation potential in many phyla. We also demonstrate its application in analyzing high-throughput sequence data by predicting hydrocarbon utilization in large metagenomic datasets from diverse environments. CANT-HYD is available at https://github.com/dgittins/CANT-HYD-HydrocarbonBiodegradation. Frontiers Media S.A. 2022-01-07 /pmc/articles/PMC8767102/ /pubmed/35069469 http://dx.doi.org/10.3389/fmicb.2021.764058 Text en Copyright © 2022 Khot, Zorz, Gittins, Chakraborty, Bell, Bautista, Paquette, Hawley, Novotnik, Hubert, Strous and Bhatnagar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Khot, Varada Zorz, Jackie Gittins, Daniel A. Chakraborty, Anirban Bell, Emma Bautista, María A. Paquette, Alexandre J. Hawley, Alyse K. Novotnik, Breda Hubert, Casey R. J. Strous, Marc Bhatnagar, Srijak CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation |
title | CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation |
title_full | CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation |
title_fullStr | CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation |
title_full_unstemmed | CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation |
title_short | CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation |
title_sort | cant-hyd: a curated database of phylogeny-derived hidden markov models for annotation of marker genes involved in hydrocarbon degradation |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767102/ https://www.ncbi.nlm.nih.gov/pubmed/35069469 http://dx.doi.org/10.3389/fmicb.2021.764058 |
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