Evidence map›Paper›PMID 25697835›Full record

ArticleJournal of mathematical biology2015

Ecological constraints on the origin of neurones.

Travis Monk, Michael G Paulin, Peter Green

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Phanerozoic parasitism and marine metazoan diversity: dilution versus amplification.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  4. Article
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

3 authors at 2 institutions in 1 country.

Travis MonkDepartment of Zoology, University of Otago, 340 Great King Street, PO Box 56, Dunedin, 9054, New Zealand. auroramonk@gmail.com.
Michael G PaulinDepartment of Zoology, University of Otago, 340 Great King Street, PO Box 56, Dunedin, 9054, New Zealand.
Peter GreenLandcare Research, 764 Cumberland St., Dunedin, 9016, New Zealand.
Manaaki Whenua – Landcare Research · NZUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The basic functional characteristics of spiking neurones are remarkably similar throughout the animal kingdom. Their core design and function features were presumably established very early in their evolutionary history. Identifying the selection pressures that drove animals to evolve spiking neurones could help us interpret their design and function today. This paper provides a quantitative argument, based on ecology, that animals evolved neurones after they started eating each other, about 550 million years ago. We consider neurones as devices that aid an animal's foraging performance, but incur an energetic cost. We introduce an idealised stochastic model ecosystem of animals and their food, and obtain an analytic expression for the probability that an animal with a neurone will fix in a neurone-less population. Analysis of the fixation probability reveals two key results. First, a neurone will never fix if an animal forages low-value food at high density, even if that neurone incurs no cost. Second, a neurone will fix with high probability if an animal is foraging high-value food at low density, even if that neurone is expensive. These observations indicate that the transition from neurone-less to neurone-armed animals can be facilitated by a transition from filter-feeding or substrate grazing to episodic feeding strategies such as animal-on-animal predation (macrophagy).

Indexed as

Biological EvolutionModels, NeurologicalAction PotentialsAnimalsEcosystemEnergy MetabolismFeeding BehaviorFood ChainMathematical ConceptsNeuronsPhylogenyPredatory BehaviorSelection, GeneticStochastic ProcessesMacrophagyNervous system evolutionPredationStochastic modelling

Identifiers

PMID25697835
OpenAlexW2071711179

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.