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dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes

Carbohydrate Active EnZymes (CAZymes) are significantly important for microbial communities to thrive in carbohydrate rich environments such as animal guts, agricultural soils, forest floors, and ocean sediments. Since 2017, microbiome sequencing and assembly have produced numerous metagenome assemb...

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Autores principales: Zheng, Jinfang, Hu, Boyang, Zhang, Xinpeng, Ge, Qiwei, Yan, Yuchen, Akresi, Jerry, Piyush, Ved, Huang, Le, Yin, Yanbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825555/
https://www.ncbi.nlm.nih.gov/pubmed/36399503
http://dx.doi.org/10.1093/nar/gkac1068
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author Zheng, Jinfang
Hu, Boyang
Zhang, Xinpeng
Ge, Qiwei
Yan, Yuchen
Akresi, Jerry
Piyush, Ved
Huang, Le
Yin, Yanbin
author_facet Zheng, Jinfang
Hu, Boyang
Zhang, Xinpeng
Ge, Qiwei
Yan, Yuchen
Akresi, Jerry
Piyush, Ved
Huang, Le
Yin, Yanbin
author_sort Zheng, Jinfang
collection PubMed
description Carbohydrate Active EnZymes (CAZymes) are significantly important for microbial communities to thrive in carbohydrate rich environments such as animal guts, agricultural soils, forest floors, and ocean sediments. Since 2017, microbiome sequencing and assembly have produced numerous metagenome assembled genomes (MAGs). We have updated our dbCAN-seq database (https://bcb.unl.edu/dbCAN_seq) to include the following new data and features: (i) ∼498 000 CAZymes and ∼169 000 CAZyme gene clusters (CGCs) from 9421 MAGs of four ecological (human gut, human oral, cow rumen, and marine) environments; (ii) Glycan substrates for 41 447 (24.54%) CGCs inferred by two novel approaches (dbCAN-PUL homology search and eCAMI subfamily majority voting) (the two approaches agreed on 4183 CGCs for substrate assignments); (iii) A redesigned CGC page to include the graphical display of CGC gene compositions, the alignment of query CGC and subject PUL (polysaccharide utilization loci) of dbCAN-PUL, and the eCAMI subfamily table to support the predicted substrates; (iv) A statistics page to organize all the data for easy CGC access according to substrates and taxonomic phyla; and (v) A batch download page. In summary, this updated dbCAN-seq database highlights glycan substrates predicted for CGCs from microbiomes. Future work will implement the substrate prediction function in our dbCAN2 web server.
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spelling pubmed-98255552023-01-10 dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes Zheng, Jinfang Hu, Boyang Zhang, Xinpeng Ge, Qiwei Yan, Yuchen Akresi, Jerry Piyush, Ved Huang, Le Yin, Yanbin Nucleic Acids Res Database Issue Carbohydrate Active EnZymes (CAZymes) are significantly important for microbial communities to thrive in carbohydrate rich environments such as animal guts, agricultural soils, forest floors, and ocean sediments. Since 2017, microbiome sequencing and assembly have produced numerous metagenome assembled genomes (MAGs). We have updated our dbCAN-seq database (https://bcb.unl.edu/dbCAN_seq) to include the following new data and features: (i) ∼498 000 CAZymes and ∼169 000 CAZyme gene clusters (CGCs) from 9421 MAGs of four ecological (human gut, human oral, cow rumen, and marine) environments; (ii) Glycan substrates for 41 447 (24.54%) CGCs inferred by two novel approaches (dbCAN-PUL homology search and eCAMI subfamily majority voting) (the two approaches agreed on 4183 CGCs for substrate assignments); (iii) A redesigned CGC page to include the graphical display of CGC gene compositions, the alignment of query CGC and subject PUL (polysaccharide utilization loci) of dbCAN-PUL, and the eCAMI subfamily table to support the predicted substrates; (iv) A statistics page to organize all the data for easy CGC access according to substrates and taxonomic phyla; and (v) A batch download page. In summary, this updated dbCAN-seq database highlights glycan substrates predicted for CGCs from microbiomes. Future work will implement the substrate prediction function in our dbCAN2 web server. Oxford University Press 2022-11-18 /pmc/articles/PMC9825555/ /pubmed/36399503 http://dx.doi.org/10.1093/nar/gkac1068 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 Issue
Zheng, Jinfang
Hu, Boyang
Zhang, Xinpeng
Ge, Qiwei
Yan, Yuchen
Akresi, Jerry
Piyush, Ved
Huang, Le
Yin, Yanbin
dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes
title dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes
title_full dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes
title_fullStr dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes
title_full_unstemmed dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes
title_short dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes
title_sort dbcan-seq update: cazyme gene clusters and substrates in microbiomes
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825555/
https://www.ncbi.nlm.nih.gov/pubmed/36399503
http://dx.doi.org/10.1093/nar/gkac1068
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