Evidence map›Paper›PMID 35928160›Full record

ArticleFrontiers in microbiology2022

Comprehensive Metabolic and Taxonomic Reconstruction of an Ancient Microbial Mat From the McMurdo Ice Shelf (Antarctica) by Integrating Genetic, Metaproteomic and Lipid Biomarker Analyses.

María Ángeles Lezcano, Laura Sánchez-García, Antonio Quesada, Daniel Carrizo, Miguel Ángel Fernández-Martínez, Erika Cavalcante-Silva, Víctor Parro

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

María Ángeles LezcanoCentro de Astrobiología (CAB), CSIC-INTA, Carretera de Ajalvir, Madrid, Spain.
Laura Sánchez-GarcíaCentro de Astrobiología (CAB), CSIC-INTA, Carretera de Ajalvir, Madrid, Spain.
Antonio QuesadaCentro de Astrobiología (CAB), CSIC-INTA, Carretera de Ajalvir, Madrid, Spain.
Daniel CarrizoCentro de Astrobiología (CAB), CSIC-INTA, Carretera de Ajalvir, Madrid, Spain.
Miguel Ángel Fernández-MartínezDepartment of Natural Resource Sciences, McGill University, Sainte-Anne de Bellevue, QC, Canada.
Erika Cavalcante-SilvaDepartamento de Biología, C. Darwin 2, Universidad Autónoma de Madrid, Madrid, Spain.
Víctor ParroCentro de Astrobiología (CAB), CSIC-INTA, Carretera de Ajalvir, Madrid, Spain.
Centro de Astrobiología · ESUniversidad Autónoma de Madrid · ESMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paleobiological reconstructions based on molecular fossils may be limited by degradation processes causing differential preservation of biomolecules, the distinct taxonomic specificity of each biomolecule type, and analytical biases. Here, we combined the analysis of DNA, proteins and lipid biomarkers using 16S and 18S rRNA gene metabarcoding, metaproteomics and lipid analysis to reconstruct the taxonomic composition and metabolisms of a desiccated microbial mat from the McMurdo Ice Shelf (MIS) (Antarctica) dated ~1,000 years BP. The different lability, taxonomic resolution and analytical bias of each biomolecule type led to a distinct microbial community profile. DNA analysis showed selective preservation of DNA remnants from the most resistant taxa (e.g., spore-formers). In contrast, the proteins profile revealed microorganisms missed by DNA sequencing, such as

Indexed as

AntarcticaDNA metabarcodinglipid biomarkersMcMurdo Ice Shelfmetaproteomicsmicrobial mat communitiesmicrobial metabolism

Identifiers

PMID35928160
PMCPMC9345047
OpenAlexW4285816335

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.