Evidence map›Paper›PMID 34808704›Full record

ArticleEcology letters2022

Effects of phenotypic variation on consumer coexistence and prey community structure.

Shane L Hogle, Iina Hepolehto, Lasse Ruokolainen, Johannes Cairns, Teppo Hiltunen

Abstract readLetter
In one paragraph

Article in Ecology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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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

5 authors.

Shane L HogleDepartment of Biology, University of Turku, Turku, Finland.ORCID https://orcid.org/0000-0003-2595-3863
Iina HepolehtoDepartment of Microbiology, University of Helsinki, Helsinki, Finland.
Lasse RuokolainenFaculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Johannes CairnsOrganismal and Evolutionary Biology Research Programme, University of Helsinki, Finland.ORCID https://orcid.org/0000-0003-1329-2025
Teppo HiltunenDepartment of Biology, University of Turku, Turku, Finland.ORCID https://orcid.org/0000-0001-7206-2399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A popular idea in ecology is that trait variation among individuals from the same species may promote the coexistence of competing species. However, theoretical and empirical tests of this idea have yielded inconsistent findings. We manipulated intraspecific trait diversity in a ciliate competing with a nematode for bacterial prey in experimental microcosms. We found that intraspecific trait variation inverted the original competitive hierarchy to favour the consumer with variable traits, ultimately resulting in competitive exclusion. This competitive outcome was driven by foraging traits (size, speed and directionality) that increased the ciliate's fitness ratio and niche overlap with the nematode. The interplay between consumer trait variation and competition resulted in non-additive cascading effects-mediated through prey defence traits-on prey community assembly. Our results suggest that predicting consumer competitive population dynamics and the assembly of prey communities will require understanding the complexities of trait variation within consumer species.

Indexed as

Biological Variation, PopulationEcologyAnimalsPhenotypePopulation DynamicsPredatory Behaviorbacteriacoexistencecommunity assemblycompetitionintraspecific variationnematodespredatorpreyprotiststraits

Identifiers

PMID34808704
PMCPMC9299012

What OpenQuestion holds

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LicenceCC BY-NC
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.