ReviewThe ISME journal2025
Distinguishing among evolutionary and ecological processes shaping microbiome dynamics.
Review in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Low initial metabolite production enhances stability in syntrophic bacterial consortia.Communications biology · 2026Article
- Biofilm Formation and Plastic Degradation in Bacteria from Different Environments: Evidence for Phenotypic Acclimation and Metabolic Exaptation.Microorganisms · 2026Article
- The hallmarks of host-microbiome decoupling.Frontiers in microbiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Evolution is defined as the change in allele frequency over time as a result of either neutral processes, such as genetic drift, or as an adaptive process in response to selection. In contrast, ecological dynamics describe changes in population densities, species distributions, species interactions, and/or relative abundances within communities, all of which can also be the result of either stochastic or deterministic processes. Although the distinction between these patterns has long held for plants and animals, microbial community dynamics can blur the line between ecological and evolutionary processes, especially as they can occur on very similar timescales. Despite the importance of differentiating changes occurring within a population or strain from those occurring among populations, many common methodologies used to study microbiomes are not able to differentiate among them. In this review, we summarize the forces known to generate genetic diversity in bacterial genomes and describe the approaches used to study bacterial evolution from simple to more complex systems. We then explore how current methodologies and conceptual understanding can be applied to both understand and differentiate between the ecological and evolutionary processes in microbial communities. By highlighting lessons from longitudinal microbiome studies and experimental evolution, we explore the unique opportunities afforded by newer sequencing approaches and better sequencing resolution. Throughout, we identify the unique and outstanding challenges in studying these processes in microbiome systems and emphasize the great benefits in doing so to move forward our ability to better predict and manipulate microbiomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.