Evidence map›Paper›PMID 36371463›Full record

ArticleScientific reports2022

Exploring structure, microbiota, and metagenome functions of epigean and hypogean black deposits by microscopic, molecular and bioinformatic approaches.

Beatrice Farda, Ilaria Vaccarelli, Claudia Ercole, Rihab Djebaili, Maddalena Del Gallo, Marika Pellegrini

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Beatrice FardaDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.ORCID 0000-0003-4202-0352
Ilaria VaccarelliDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.ORCID 0000-0002-1298-2553
Claudia ErcoleDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.ORCID 0000-0002-7566-8502
Rihab DjebailiDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.ORCID 0000-0001-9614-1956
Maddalena Del GalloDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.ORCID 0000-0003-3598-6917
Marika PellegriniDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy. marika.pellegrini@univaq.it.ORCID 0000-0002-0073-9935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study revealed how Bacteria and Archaea communities and their metabolic functions differed between two groups of black deposits identified in gorge and cave environments. Scanning electron microscopy coupled with energy dispersive spectroscopy was used to analyse the presence of microbial biosignatures and the elemental composition of samples. Metabarcoding of the V3-V4 regions of 16S rRNA was used to investigate Bacteria and Archaea communities. Based on 16S rRNA sequencing results, PICRUSt software was used to predict metagenome functions. Micrographs showed that samples presented microbial biosignatures and microanalyses highlighted Mn concretions and layers on Al-Si surfaces. The 16S rRNA metabarcoding alpha-diversity metrics showed similar Simpson's and Shannon indices and different values of the Chao-1 index. The amplicon sequence variants (ASVs) analysis at the different taxonomic levels showed a diverse genera composition. However, the communities of all samples shared the presence of uncultured ASVs belonging to the Gemmatales family (Phylogenesis: Gemmataceae; Planctomycetes; Planctomycetota; Bacteria). The predicted metagenome functions analysis revealed diverse metabolic profiles of the Cave and Gorge groups. Genes coding for essential Mn metabolism were present in all samples. Overall, the findings on structure, microbiota, and predicted metagenome functions showed a similar microbial contribution to epigean and hypogean black deposits Mn metabolism.

Indexed as

MetagenomeMicrobiotaArchaeaBacteriaComputational BiologyPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID36371463
PMCPMC9653421

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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.