ReviewPhysical biology2021
Roadmap on biology in time varying environments.
Review in Physical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Analysing and meta-analysing time-series data of microbial growth and gene expression from plate readers.PLoS computational biology · 2022Pooled it
- Phenotypic heterogeneity in lag reflects an evolutionarily stable bet-hedging strategy.bioRxiv : the preprint server for biology · 2025Article
- Sociohydrodynamics: Data-driven modeling of social behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Quantifying the nuclear localization of fluorescently tagged proteins.Bioinformatics advances · 2025Article
- In vivo functional phenotypes from a computational epistatic model of evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Phenotypic consequences of logarithmic signaling in MAPK stress response.bioRxiv : the preprint server for biology · 2023Article
- Coupled environmental and demographic fluctuations shape the evolution of cooperative antimicrobial resistance.Journal of the Royal Society, Interface · 2023Article
- Determining growth rates from bright-field images of budding cells through identifying overlaps.eLife · 2023Article
- Learning to learn by using nonequilibrium training protocols for adaptable materials.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Resonant learning in scale-free networks.PLoS computational biology · 2023Article
- Temporal networks in biology and medicine: a survey on models, algorithms, and tools.Network modeling and analysis in health informatics and bioinformatics · 2023Review
- Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments.Frontiers in cell and developmental biology · 2023Review
- Cellular and Natural Viral Engineering in Cognition-Based Evolution.Communicative & integrative biology · 2023Review
- Noninvasive inference methods for interaction and noise intensities of coupled oscillators using only spike time data.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
Biological organisms experience constantly changing environments, from sudden changes in physiology brought about by feeding, to the regular rising and setting of the Sun, to ecological changes over evolutionary timescales. Living organisms have evolved to thrive in this changing world but the general principles by which organisms shape and are shaped by time varying environments remain elusive. Our understanding is particularly poor in the intermediate regime with no separation of timescales, where the environment changes on the same timescale as the physiological or evolutionary response. Experiments to systematically characterize the response to dynamic environments are challenging since such environments are inherently high dimensional. This roadmap deals with the unique role played by time varying environments in biological phenomena across scales, from physiology to evolution, seeking to emphasize the commonalities and the challenges faced in this emerging area of research.
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.