Evidence map›Paper›PMID 42891045›Full record

ArticleEnvironmental epigenetics2026

Epigenetic intelligence: how organisms track their environment through molecular memory.

Holly V Moeller, Hollie M Putnam, Ross Cunning, Steven B Roberts, Jose M Eirin-Lopez, Roger M Nisbet

Abstract read
In one paragraph

Article in Environmental epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Holly V MoellerDepartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA 93106, United States.ORCID https://orcid.org/0000-0002-9335-0039
Hollie M PutnamDepartment of Biological Sciences, University of Rhode Island, Kingston, RI 02881, United States.
Ross CunningJohn G. Shedd Aquarium, Chicago, IL 60605, United States.
Steven B RobertsSchool of Aquatic and Fisheries Sciences, University of Washington, Seattle, WA 98105, United States.ORCID https://orcid.org/0000-0001-8302-1138
Jose M Eirin-LopezEnvironmental Epigenetics Laboratory, Center for Coastal Oceans Research, Institute for Water and Environment, Florida International University, North Miami, FL 33181, United States.
Roger M NisbetDepartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA 93106, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The regulation of gene expression by epigenetic markers is a growing area of focus for researchers who seek to explain rapid phenotypic acclimatization to environmental change. Yet even as empirical datasets accumulate exponentially, the mechanistic underpinnings of epigenetic changes and their role in connecting environmental variation with the regulation of gene function remain unclear. Here, we use a stochastic model of epigenetic change to generate three testable predictions: (1) that organisms require environmental feedback to track their environments through epigenetic responses, (2) that this tracking requires coordination between the addition and removal of epigenetic markers, and (3) that epigenetically driven tracking is only effective under specific subsets of environmental variability. Despite the intuitiveness of these postulates, few to no experimental studies directly test them. Using marine invertebrates as a case study, we review correlational evidence consistent with the model's predictions, describe hypothetical mechanisms by which epigenetic strategies could evolve, and clearly identify knowledge gaps and urgent experimental needs in the field. Overall, the field of environmental epigenetics is poised for major advances, which can be enhanced through the continued synthesis of mathematical frameworks and empirical data.

Indexed as

environmental variabilityhistone modificationinvertebrate epigeneticsmethylationstochastic simulation model

Identifiers

PMID42891045
PMCPMC13673002

What OpenQuestion holds

Textmetadata
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.