Evidence map›Paper›PMID 27682082›Full record

ArticleMicroorganisms2015

High Throughput Sequencing to Detect Differences in Methanotrophic Methylococcaceae and Methylocystaceae in Surface Peat, Forest Soil, and Sphagnum Moss in Cranesville Swamp Preserve, West Virginia, USA.

Evan Lau, Edward J Nolan Iv, Zachary W Dillard, Ryan D Dague, Amanda L Semple, Wendi L Wentzell

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Methanotrophic Bacterial Biomass as Potential Mineral Feed Ingredients for Animals.International journal of environmental research and public health · 2019
    Article
  7. Article
  8. Article
  9. Review
  10. Acidification Enhances Hybrid NFrontiers in microbiology · 2016
    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

6 authors at 1 institution in 1 country.

Evan LauDepartment of Natural Sciences and Mathematics, West Liberty University, 208 University Drive, CUB#139, West Liberty, WV 26074, USA. evan.lau@westliberty.edu.
Edward J Nolan IvDepartment of Natural Sciences and Mathematics, West Liberty University, 208 University Drive, CUB#139, West Liberty, WV 26074, USA.
Zachary W DillardDepartment of Natural Sciences and Mathematics, West Liberty University, 208 University Drive, CUB#139, West Liberty, WV 26074, USA. zwdillard@westliberty.edu.
Ryan D DagueDepartment of Natural Sciences and Mathematics, West Liberty University, 208 University Drive, CUB#139, West Liberty, WV 26074, USA. RDAGUE@westliberty.edu.
Amanda L SempleDepartment of Natural Sciences and Mathematics, West Liberty University, 208 University Drive, CUB#139, West Liberty, WV 26074, USA. amandasemple1@gmail.com.
Wendi L WentzellDepartment of Natural Sciences and Mathematics, West Liberty University, 208 University Drive, CUB#139, West Liberty, WV 26074, USA. wlwentzell@westliberty.edu.
West Liberty University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Northern temperate forest soils and Sphagnum-dominated peatlands are a major source and sink of methane. In these ecosystems, methane is mainly oxidized by aerobic methanotrophic bacteria, which are typically found in aerated forest soils, surface peat, and Sphagnum moss. We contrasted methanotrophic bacterial diversity and abundances from the (i) organic horizon of forest soil; (ii) surface peat; and (iii) submerged Sphagnum moss from Cranesville Swamp Preserve, West Virginia, using multiplex sequencing of bacterial 16S rRNA (V3 region) gene amplicons. From ~1 million reads, >50,000 unique OTUs (Operational Taxonomic Units), 29 and 34 unique sequences were detected in the Methylococcaceae and Methylocystaceae, respectively, and 24 potential methanotrophs in the Beijerinckiaceae were also identified. Methylacidiphilum-like methanotrophs were not detected. Proteobacterial methanotrophic bacteria constitute <2% of microbiota in these environments, with the Methylocystaceae one to two orders of magnitude more abundant than the Methylococcaceae in all environments sampled. The Methylococcaceae are also less diverse in forest soil compared to the other two habitats. Nonmetric multidimensional scaling analyses indicated that the majority of methanotrophs from the Methylococcaceae and Methylocystaceae tend to occur in one habitat only (peat or Sphagnum moss) or co-occurred in both Sphagnum moss and peat. This study provides insights into the structure of methanotrophic communities in relationship to habitat type, and suggests that peat and Sphagnum moss can influence methanotroph community structure and biogeography.

Indexed as

biogeographyEvennesshigh throughput sequencingIllumina® MiSeqMethanotrophic bacteriaMethylococcaceaeMethylocystaceaemicrobial ecologymultiplex sequencingNonmetric multidimensional scalingpeatlandsShannon-Weiner IndexSphagnum mosssurface peatupland forest soils

Identifiers

PMID27682082
PMCPMC5023241
OpenAlexW2088172445

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.