A comprehensive method for amplicon-based and metagenomic characterization of viruses, bacteria, and eukaryotes in freshwater samples. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Uyaguari-Diaz, Miguel; Chan, Michael; Chaban, Bonnie; Croxen, Matthew; Finke, Jan; Hill, Janet; Peabody, Michael; Van Rossum, Thea; Suttle, Curtis; Brinkman, Fiona; Isaac-Renton, Judith; Prystajecky, Natalie; Tang, Patrick
• Is Part Of: Microbiome. Volume 4:Issue 1(2016)
• Page Start: 1
• Page End: 19
• Publication Date: 2016-12
• Subjects: Microbiome -- Watersheds -- Amplicon sequencing -- Metagenomes -- Metagenomics -- Microbial fractions; Microbiology -- Periodicals; Microorganisms -- Periodicals; Medical microbiology -- Periodicals; Soil microbiology -- Periodicals; Microbiological Phenomena -- Periodicals; Environmental Microbiology -- Periodicals; Medical microbiology; Microbiology; Microorganisms; Soil microbiology; Periodicals; Electronic journals; 579.17
• DOI: 10.1186/s40168-016-0166-1
• Languages: English
• ISSNs: 2049-2618

Abstract

Abstract Background Studies of environmental microbiota typically target only specific groups of microorganisms, with most focusing on bacteria through taxonomic classification of 16S rRNA gene sequences. For a more holistic understanding of a microbiome, a strategy to characterize the viral, bacterial, and eukaryotic components is necessary. Results We developed a method for metagenomic and amplicon-based analysis of freshwater samples involving the concentration and size-based separation of eukaryotic, bacterial, and viral fractions. Next-generation sequencing and culture-independent approaches were used to describe and quantify microbial communities in watersheds with different land use in British Columbia. Deep amplicon sequencing was used to investigate the distribution of certain viruses (g23 and RdRp), bacteria (16S rRNA andcpn 60), and eukaryotes (18S rRNA and ITS). Metagenomic sequencing was used to further characterize the gene content of the bacterial and viral fractions at both taxonomic and functional levels. Conclusion This study provides a systematic approach to separate and characterize eukaryotic-, bacterial-, and viral-sized particles. Methodologies described in this research have been applied in temporal and spatial studies to study the impact of land use on watershed microbiomes in British Columbia.