Evidence map›Paper›PMID 27391119›Full record

ArticleMicrobiome2016

A comprehensive method for amplicon-based and metagenomic characterization of viruses, bacteria, and eukaryotes in freshwater samples.

Miguel I Uyaguari-Diaz, Michael Chan, Bonnie L Chaban, Matthew A Croxen, Jan F Finke, Janet E Hill, Michael A Peabody, Thea Van Rossum, Curtis A Suttle, Fiona S L Brinkman and 3 more

Abstract read
In one paragraph

Article in Microbiome, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Article
  2. Review
  3. Evaluating Atlantic Salmon (Pathogens (Basel, Switzerland) · 2024
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  12. Microbes in the built environment.Scientific reports · 2022
    Article
  13. Production of microalgae with high lipid content and their potential as sources of nutraceuticals.Phytochemistry reviews : proceedings of the Phytochemical Society of Europe · 2022
    Review
  14. Article
  15. Considerations for constructing a protein sequence database for metaproteomics.Computational and structural biotechnology journal · 2022
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Miguel I Uyaguari-DiazBritish Columbia Public Health Laboratory, British Columbia Centre for Disease Control, Vancouver, BC, V5Z 4R4, Canada.
Michael ChanBritish Columbia Public Health Laboratory, British Columbia Centre for Disease Control, Vancouver, BC, V5Z 4R4, Canada.
Bonnie L ChabanSouth Kensington Campus, Imperial College London, Sir Ernst Chain Building, London, SW7 2AZ, UK.
Matthew A CroxenBritish Columbia Public Health Laboratory, British Columbia Centre for Disease Control, Vancouver, BC, V5Z 4R4, Canada.
Jan F FinkeDepartment of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Janet E HillDepartment of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, S7N 5B4, Canada.
Michael A PeabodyDepartment of Molecular Biology and Biochemistry, South Science Building, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
Thea Van RossumDepartment of Molecular Biology and Biochemistry, South Science Building, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
Curtis A SuttleDepartment of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Fiona S L BrinkmanDepartment of Molecular Biology and Biochemistry, South Science Building, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
Judith Isaac-RentonBritish Columbia Public Health Laboratory, British Columbia Centre for Disease Control, Vancouver, BC, V5Z 4R4, Canada.
Natalie A PrystajeckyBritish Columbia Public Health Laboratory, British Columbia Centre for Disease Control, Vancouver, BC, V5Z 4R4, Canada.
Patrick TangDepartment of Pathology, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar. ptang@sidra.org.

Funding

CIHR
6 · The paper itself

Abstract

backgroundStudies 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.

resultsWe 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 and cpn60), 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.

conclusionThis 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.

Indexed as

BacteriaBase SequenceBritish ColumbiaDNA, IntergenicEukaryotaFresh WaterHigh-Throughput Nucleotide SequencingMetagenomeMicrobiotaRNA, Ribosomal, 16SRNA, Ribosomal, 18SSequence Analysis, DNAVirusesWater MicrobiologyWater PollutionDNA, IntergenicRNA, Ribosomal, 16SRNA, Ribosomal, 18SAmplicon sequencingMetagenomesMetagenomicsMicrobial fractionsMicrobiomeWatersheds

Identifiers

PMID27391119
PMCPMC5011856

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.