Evidence map›Paper›PMID 31684861›Full record

ArticleBMC evolutionary biology2019

Trusting the hand that feeds: microbes evolve to anticipate a serial transfer protocol as individuals or collectives.

Bram van Dijk, Jeroen Meijer, Thomas D Cuypers, Paulien Hogeweg

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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.

Bram van DijkTheoretical Biology, Utrecht University, Padualaan 8, Utrecht, The Netherlands. bramvandijk88@gmail.com.
Jeroen MeijerTheoretical Biology, Utrecht University, Padualaan 8, Utrecht, The Netherlands.
Thomas D CuypersTheoretical Biology, Utrecht University, Padualaan 8, Utrecht, The Netherlands.
Paulien HogewegTheoretical Biology, Utrecht University, Padualaan 8, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExperimental evolution of microbes often involves a serial transfer protocol, where microbes are repeatedly diluted by transfer to a fresh medium, starting a new growth cycle. This has revealed that evolution can be remarkably reproducible, where microbes show parallel adaptations both on the level of the phenotype as well as the genotype. However, these studies also reveal a strong potential for divergent evolution, leading to diversity both between and within replicate populations. We here study how in silico evolved Virtual Microbe "wild types" (WTs) adapt to a serial transfer protocol to investigate generic evolutionary adaptations, and how these adaptations can be manifested by a variety of different mechanisms.

resultsWe show that all WTs evolve to anticipate the regularity of the serial transfer protocol by adopting a fine-tuned balance of growth and survival. This anticipation is done by evolving either a high yield mode, or a high growth rate mode. We find that both modes of anticipation can be achieved by individual lineages and by collectives of microbes. Moreover, these different outcomes can be achieved with or without regulation, although the individual-based anticipation without regulation is less well adapted in the high growth rate mode.

conclusionsAll our in silico WTs evolve to trust the hand that feeds by evolving to anticipate the periodicity of a serial transfer protocol, but can do so by evolving two distinct growth strategies. Furthermore, both these growth strategies can be accomplished by gene regulation, a variety of different polymorphisms, and combinations thereof. Our work reveals that, even under controlled conditions like those in the lab, it may not be possible to predict individual evolutionary trajectories, but repeated experiments may well result in only a limited number of possible outcomes.

Indexed as

Computer SimulationModels, BiologicalAdaptation, BiologicalBacteriaEvolution, MolecularGenotypePhenotypeDigital microbesEco-evolutionary dynamicsExperimental evolutionIn silico evolutionPredicting evolutionResource cycleSerial transfer protocolVirtual microbes

Identifiers

PMID31684861
PMCPMC6829849

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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.