Evidence map›Paper›PMID 41668418›Full record

ReviewGenome biology and evolution2026

Recent Microbial Evolutionary Insights From Metagenomics.

Bárbara Moguel, Laura Carrillo Olivas, Mariana G Guerrero-Osornio, Sur Herrera Paredes

Abstract readReview
In one paragraph

Review in Genome biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Bárbara MoguelChemical and Biological Sciences Department, Universidad de las Américas Puebla (UDLAP), Cholula, Puebla, México.ORCID 0000-0002-4489-0055
Laura Carrillo OlivasInternational Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Juriquilla Querétaro, Querétaro, México.ORCID 0000-0001-7111-920X
Mariana G Guerrero-OsornioInternational Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Juriquilla Querétaro, Querétaro, México.ORCID 0009-0005-1867-9861
Sur Herrera ParedesInternational Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Juriquilla Querétaro, Querétaro, México.ORCID 0000-0001-9246-8337

Funding

DGAPA-PAPIITDGAPA-PAPIIT 2022-000002-01NACF-03333SECIHTI 2023-000002-01NACF-03323SECIHTI IN212524
6 · The paper itself

Abstract

Microorganisms have profoundly shaped Earth's biological and geological history, from the origins of oxygenic photosynthesis to present-day global biogeochemical cycles. Metagenomics-through its ability to recover genomic information directly from environmental samples-has revolutionized our understanding of microbial evolution by uncovering unbeknownst lineages, revealing functional adaptations, and reshaping our view of the Tree of Life. By bypassing the need for cultivation, shotgun metagenomics and metabarcoding approaches have enabled researchers to investigate microbial diversity, ecology, and evolutionary processes across aquatic, terrestrial, extreme, and host-associated environments. This review highlights recent advances in evolutionary biology driven by metagenomics, including studies on deep evolutionary branching events, microbial adaptation to extreme environments, the evolution of host-associated microbiomes, and the emergence and spread of pathogens and antimicrobial resistance. The integration of ancient DNA has expanded our ability to reconstruct past ecosystems and disease dynamics, offering insights into long-term microbial evolution. In parallel, studies of microbial domestication and urban settings reveal how human practices have shaped microbial genomes over millennia. Despite significant progress, key challenges remain-including improving bioinformatic tools for degraded ancient DNA, resolving deep phylogenetic relationships, identifying adaptive variants, and linking genomic shifts to ecosystem-level processes. The future of microbial evolutionary research will depend on combining longitudinal metagenomic data, experimental evolution, functional assays, and predictive modeling to better understand microbial responses to climate change and anthropogenic pressures. Together, these approaches will deepen our understanding of microbial evolution and its consequences for life on Earth-past, present, and future.

Indexed as

Biological EvolutionEvolution, MolecularMetagenomicsMicrobiotaDNA, AncientGenome, MicrobialHumansPhylogenyDNA, Ancientancient DNA (aDNA)geobiologymetagenomicsmicrobial adaptationmicrobial evolutionpathogen evolution

Identifiers

PMID41668418
PMCPMC12954397

What OpenQuestion holds

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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.