Evidence map›Paper›PMID 32106250›Full record

ArticlePloS one2020

Microbial community structure shows differing levels of temporal stability in intertidal beach sands of the grand strand region of South Carolina.

Harrison B Taylor, Harry D Kurtz

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Strategies for Monitoring Microbial Life in Beach Sand for Protection of Public Health.International journal of environmental research and public health · 2023
    Review
  3. 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

2 authors.

Harrison B TaylorDepartment of Biological Sciences, Clemson University, Clemson, SC, United States of America.
Harry D KurtzDepartment of Biological Sciences, Clemson University, Clemson, SC, United States of America.ORCID 0000-0003-2592-3074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of microbial community structure in intertidal and supratidal beach sands along the California and Gulf of Mexico coasts have begun to reveal geographical patterns in microbial diversity through the use of next generation sequencing technology. Only a few studies have targeted communities along the Eastern seaboard, leaving a variety of microbial ecosystems uncharacterized. In this study, we examine the microbial community structure within three South Carolina beaches along the Grand Strand via sequencing of the V4 region of the 16S rRNA gene to discern relationships between diversity and temporal or regional factors. Gammaproteobacteria, Planctomycetes, Acidobacteria, and Actinobacteria dominated the composition of these beaches. Diversity analyses revealed that highly diverse communities were similar in overall composition and diversity but showed different levels of community structure stability over time. The community structure in Pawleys Island sands showed no significant change over time, while Garden City experienced significant shifts between each sampling date. Community structure also differed between beaches and, to a lesser degree, sampling date. These data provide evidence of the high microbial diversity within these beach sands and suggest that even though beaches of the same geographic region can show similarity in composition and diversity at a particular timepoint, the nature of their community structure and underlying diversity may differ comparatively and over time.

Indexed as

BiodiversityMicrobiotaSoil MicrobiologyWater MicrobiologyBacteriaBathing BeachesDNA, BacterialHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SSandSequence Analysis, DNASouth CarolinaDNA, BacterialRNA, Ribosomal, 16SSand

Identifiers

PMID32106250
PMCPMC7046189

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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.