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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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