Evidence map›Paper›PMID 21985648›Full record

ArticleMolecular ecology2012

Metagenetic community analysis of microbial eukaryotes illuminates biogeographic patterns in deep-sea and shallow water sediments.

Holly M Bik, Way Sung, Paul De Ley, James G Baldwin, Jyotsna Sharma, Axayácatl Rocha-Olivares, W Kelley Thomas

Abstract read
In one paragraph

Article in Molecular ecology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

54 citing papers in PubMed, 171 citations in OpenAlex.

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  10. Urbanization and Waterborne Pathogen Emergence in Low-Income Countries: Where and How to Conduct Surveys?International journal of environmental research and public health · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Holly M BikHubbard Center for Genome Studies, University of New Hampshire, Durham, NH 03824, USA. h.bik@unh.edu
Way Sung
Paul De Ley
James G Baldwin
Jyotsna Sharma
Axayácatl Rocha-Olivares
W Kelley Thomas
University of New Hampshire · USUniversity of California, Riverside · USCenter for Scientific Research and Higher Education at Ensenada · MXThe University of Texas at San Antonio · US

Funding

NEW HAMPSHIRE IDEA NETWORK OF BIOLOGICAL RESEARCH EXCELLENCE (NH_INBRE)P20RR030360 · NCRR · DARTMOUTH COLLEGE · PI TAYLOR, RONALD K · 2010 to 2011
$6.6M
NCRR NIH HHS 1P20RR030360-01NCRR NIH HHS P20 RR030360
6 · The paper itself

Abstract

Microbial eukaryotes (nematodes, protists, fungi, etc., loosely referred to as meiofauna) are ubiquitous in marine sediments and probably play pivotal roles in maintaining ecosystem function. Although the deep-sea benthos represents one of the world's largest habitats, we lack a firm understanding of the biodiversity and community interactions amongst meiobenthic organisms in this ecosystem. Within this vast environment, key questions concerning the historical genetic structure of species remain a mystery, yet have profound implications for our understanding of global biodiversity and how we perceive and mitigate the impact of environmental change and anthropogenic disturbance. Using a metagenetic approach, we present an assessment of microbial eukaryote communities across depth (shallow water to abyssal) and ocean basins (deep-sea Pacific and Atlantic). Within the 12 sites examined, our results suggest that some taxa can maintain eurybathic ranges and cosmopolitan deep-sea distributions, but the majority of species appear to be regionally restricted. For Operationally Clustered Taxonomic Units (OCTUs) reporting wide distributions, there appears to be a taxonomic bias towards a small subset of taxa in most phyla; such bias may be driven by specific life history traits amongst these organisms. In addition, low genetic divergence between geographically disparate deep-sea sites suggests either a shorter coalescence time between deep-sea regions or slower rates of evolution across this vast oceanic ecosystem. While high-throughput studies allow for broad assessment of genetic patterns across microbial eukaryote communities, intragenomic variation in rRNA gene copies and the patchy coverage of reference databases currently present substantial challenges for robust taxonomic interpretations of eukaryotic data sets.

Indexed as

BiodiversityGeologic SedimentsAnimalsCluster AnalysisEukaryotaMetagenomeMetagenomicsOceans and SeasRNA, Ribosomal, 18SSequence Analysis, DNARNA, Ribosomal, 18S

Identifiers

PMID21985648
PMCPMC3261328
OpenAlexW2134898953

What OpenQuestion holds

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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.