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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.
Afiliação
  • Zheng J; Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska, Lincoln, NE 68588, USA.
  • Hu B; School of Computing, University of Nebraska, Lincoln, NE 68588, USA.
  • Zhang X; Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska, Lincoln, NE 68588, USA.
  • Ge Q; School of Computing, University of Nebraska, Lincoln, NE 68588, USA.
  • Yan Y; Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska, Lincoln, NE 68588, USA.
  • Akresi J; Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska, Lincoln, NE 68588, USA.
  • Piyush V; Department of Statistics, University of Nebraska, Lincoln, NE 68588, USA.
  • Huang L; Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, NC, USA.
  • Yin Y; Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska, Lincoln, NE 68588, USA.
Nucleic Acids Res ; 51(D1): D557-D563, 2023 01 06.
Article em En | MEDLINE | ID: mdl-36399503
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiota Limite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiota Limite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2023 Tipo de documento: Article