Evidence map›Paper›PMID 34596709›Full record

ArticleMicrobial ecology2022

Instability and Stasis Among the Microbiome of Seagrass Leaves, Roots and Rhizomes, and Nearby Sediments Within a Natural pH Gradient.

Raymond B Banister, Melbert T Schwarz, Maoz Fine, Kim B Ritchie, Erinn M Muller

Erratum issuedAbstract read
In one paragraph

Article in Microbial ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Microbiomes ofFrontiers in microbiology · 2024
    Article
  7. Article
  8. Article
  9. A Tight Interaction between the Native SeagrassPlants (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Raymond B BanisterMote Marine Laboratory, Coral Health and Disease Program, Sarasota, FL, USA. rbanister2019@my.fit.edu.ORCID http://orcid.org/0000-0001-6765-2087
Melbert T SchwarzMote Marine Laboratory, Coral Health and Disease Program, Sarasota, FL, USA.
Maoz FineThe Goodman Faculty of Life Sciences, Bar-Ilan University, 52900, Ramat Gan, Israel.ORCID http://orcid.org/0000-0003-4911-4562
Kim B RitchieDepartment of Natural Sciences, University of South Carolina Beaufort, 801, Carteret St., Beaufort, SC, 29906, USA.
Erinn M MullerMote Marine Laboratory, Coral Health and Disease Program, Sarasota, FL, USA.ORCID http://orcid.org/0000-0002-2695-2064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seagrass meadows are hotspots of biodiversity with considerable economic and ecological value. The health of seagrass ecosystems is influenced in part by the makeup and stability of their microbiome, but microbiome composition can be sensitive to environmental change such as nutrient availability, elevated temperatures, and reduced pH. The objective of the present study was to characterize the bacterial community of the leaves, bulk samples of roots and rhizomes, and proximal sediment of the seagrass species Cymodocea nodosa along the natural pH gradient of Levante Bay, Vulcano Island, Italy. The bacterial community was determined by characterizing the 16S rRNA amplicon sequencing and analyzing the operational taxonomic unit classification of bacterial DNA within samples. Statistical analyses were used to explore how life-long exposure to different pH/pCO

Indexed as

MicrobiotaRhizomeBacteriaHydrogen-Ion ConcentrationProton-Motive ForceRNA, Ribosomal, 16SSeawaterRNA, Ribosomal, 16SBacterial communityCymodocea nodosaMicrobiomeNatural pH gradientSeagrassVulcano

Identifiers

PMID34596709
PMCPMC9622545

What OpenQuestion holds

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LicenceCC BY
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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.