Evidence map›Paper›PMID 31344223›Full record

ArticleFEMS microbiology letters2019

Influence of 16S rRNA variable region on perceived diversity of marine microbial communities of the Northern North Atlantic.

Ciara Willis, Dhwani Desai, Julie LaRoche

Abstract read
In one paragraph

Article in FEMS microbiology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Atlantic Salmon (Microorganisms · 2022
    Article
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  20. Interspecies Regulation BetweenFrontiers in microbiology · 2022
    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

3 authors.

Ciara WillisDepartment of Biology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada.
Dhwani DesaiDepartment of Biology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada.
Julie LaRocheDepartment of Biology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine microbes play essential roles in global energy and nutrient cycles. A primary method of determining their diversity and distribution is through sequencing of 16S ribosomal RNA genes from environmental samples. However, the perceived community composition may vary significantly based on differences in methodology, including choice of 16S variable region(s). This study investigated the influence of 16S variable region selection (V4-V5 or V6-V8) on perceived community composition and diversity for bacteria, Archaea and chloroplasts by tag-Illumina sequencing. We used 24 samples from the photic zone of the Scotian Shelf, northwest Atlantic, collected during a spring phytoplankton bloom. Taxonomic assignment and community composition varied greatly depending on the choice of variable regions while observed patterns of beta diversity were reproducible between variable regions. V4-V5 was considered the preferred variable region for future studies based on its superior recognition of Archaea, which has received little attention in bloom dynamics. The V6-V8 region captured more of the bacterial diversity, including the abundant SAR11 clades and, to a lesser extent, that of chloroplasts. However, the magnitude of difference between variable regions for bacteria and chloroplast was less than for Archaea.

Indexed as

MicrobiotaRNA, Ribosomal, 16SAquatic OrganismsArchaeaAtlantic OceanBacteriaBiodiversityMetagenomicsPhylogenyRNA, Ribosomal, 16S16S rRNAArchaeahypervariable regionmarine bacterioplanktonphytoplanktonSAR11

Identifiers

PMID31344223
PMCPMC6673769

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Registered trials

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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.