Evidence map›Paper›PMID 38227345›Full record

ReviewMicrobial biotechnology2024

Paleomicrobiology: Tracking the past microbial life from single species to entire microbial communities.

Gianluca Grasso, Valeria Bianciotto, Roland Marmeisse

Open access · goldAbstract readReview
In one paragraph

Review in Microbial biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

3 authors at 2 institutions in 2 countries.

Gianluca GrassoDipartimento di Scienze della Vita e Biologia dei Sistemi, Università degli Studi of Turin, Turin, Italy.ORCID 0000-0001-9865-0017
Valeria BianciottoInstitute for Sustainable Plant Protection (IPSP), SS, National Research Council (CNR), Turin, Italy.ORCID 0000-0002-7409-5538
Roland MarmeisseInstitut Systématique Evolution, Biodiversité (ISYEB: UMR7205 CNRS-MNHN-Sorbonne Université-EPHE-UA)¸ Muséum National d'Histoire Naturelle, Paris, France.ORCID 0000-0003-1653-3517
Centre National de la Recherche Scientifique · FRInstitute for Sustainable Plant Protection · IT

Funding

Alliance Sorbonne UniversitéMuséum National d'Histoire Naturelle ATM 2021Università Italo Francese Bando Da Vinci 2022
6 · The paper itself

Abstract

By deciphering information encoded in degraded ancient DNA extracted from up to million-years-old samples, molecular paleomicrobiology enables to objectively retrace the temporal evolution of microbial species and communities. Assembly of full-length genomes of ancient pathogen lineages allows not only to follow historical epidemics in space and time but also to identify the acquisition of genetic features that represent landmarks in the evolution of the host-microbe interaction. Analysis of microbial community DNA extracted from essentially human paleo-artefacts (paleofeces, dental calculi) evaluates the relative contribution of diet, lifestyle and geography on the taxonomic and functional diversity of these guilds in which have been identified species that may have gone extinct in today's human microbiome. As for non-host-associated environmental samples, such as stratified sediment cores, analysis of their DNA illustrates how and at which pace microbial communities are affected by local or widespread environmental disturbance. Description of pre-disturbance microbial diversity patterns can aid in evaluating the relevance and effectiveness of remediation policies. We finally discuss how recent achievements in paleomicrobiology could contribute to microbial biotechnology in the fields of medical microbiology and food science to trace the domestication of microorganisms used in food processing or to illustrate the historic evolution of food processing microbial consortia.

Indexed as

MicrobiotaDNAHumansMicrobial ConsortiaDNA

Identifiers

PMID38227345
PMCPMC10832523
OpenAlexW4390919457

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.