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CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms.

Publication ,  Journal Article
Du, W; Li, G; Ho, N; Jenkins, L; Hockaday, D; Tan, J; Cao, H
Published in: Briefings in bioinformatics
July 2021

CyanoPATH is a database that curates and analyzes the common genomic functional repertoire for cyanobacteria harmful algal blooms (CyanoHABs) in eutrophic waters. Based on the literature of empirical studies and genome/protein databases, it summarizes four types of information: common biological functions (pathways) driving CyanoHABs, customized pathway maps, classification of blooming type based on databases and the genomes of cyanobacteria. A total of 19 pathways are reconstructed, which are involved in the utilization of macronutrients (e.g. carbon, nitrogen, phosphorus and sulfur), micronutrients (e.g. zinc, magnesium, iron, etc.) and other resources (e.g. light and vitamins) and in stress resistance (e.g. lead and copper). These pathways, comprised of both transport and biochemical reactions, are reconstructed with proteins from NCBI and reactions from KEGG and visualized with self-created transport/reaction maps. The pathways are hierarchical and consist of subpathways, protein/enzyme complexes and constituent proteins. New cyanobacterial genomes can be annotated and visualized for these pathways and compared with existing species. This set of genomic functional repertoire is useful in analyzing aquatic metagenomes and metatranscriptomes in CyanoHAB research. Most importantly, it establishes a link between genome and ecology. All these reference proteins, pathways and maps and genomes are free to download at http://www.csbg-jlu.info/CyanoPATH.

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Published In

Briefings in bioinformatics

DOI

EISSN

1477-4054

ISSN

1467-5463

Publication Date

July 2021

Volume

22

Issue

4

Start / End Page

bbaa375

Related Subject Headings

  • Knowledge Bases
  • Harmful Algal Bloom
  • Genome, Bacterial
  • Databases, Genetic
  • Cyanobacteria
  • Bioinformatics
  • 3105 Genetics
  • 3102 Bioinformatics and computational biology
  • 3101 Biochemistry and cell biology
  • 0899 Other Information and Computing Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Du, W., Li, G., Ho, N., Jenkins, L., Hockaday, D., Tan, J., & Cao, H. (2021). CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms. Briefings in Bioinformatics, 22(4), bbaa375. https://doi.org/10.1093/bib/bbaa375
Du, Wei, Gaoyang Li, Nicholas Ho, Landon Jenkins, Drew Hockaday, Jiankang Tan, and Huansheng Cao. “CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms.Briefings in Bioinformatics 22, no. 4 (July 2021): bbaa375. https://doi.org/10.1093/bib/bbaa375.
Du W, Li G, Ho N, Jenkins L, Hockaday D, Tan J, et al. CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms. Briefings in bioinformatics. 2021 Jul;22(4):bbaa375.
Du, Wei, et al. “CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms.Briefings in Bioinformatics, vol. 22, no. 4, July 2021, p. bbaa375. Epmc, doi:10.1093/bib/bbaa375.
Du W, Li G, Ho N, Jenkins L, Hockaday D, Tan J, Cao H. CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms. Briefings in bioinformatics. 2021 Jul;22(4):bbaa375.
Journal cover image

Published In

Briefings in bioinformatics

DOI

EISSN

1477-4054

ISSN

1467-5463

Publication Date

July 2021

Volume

22

Issue

4

Start / End Page

bbaa375

Related Subject Headings

  • Knowledge Bases
  • Harmful Algal Bloom
  • Genome, Bacterial
  • Databases, Genetic
  • Cyanobacteria
  • Bioinformatics
  • 3105 Genetics
  • 3102 Bioinformatics and computational biology
  • 3101 Biochemistry and cell biology
  • 0899 Other Information and Computing Sciences