Evidence map›Paper›PMID 40866532›Full record

ArticleNature ecology & evolution2025

Widespread temporal niche partitioning in an adaptive radiation of cichlid fishes.

Annika L A Nichols, Maxwell E R Shafer, Adrian Indermaur, Attila Rüegg, Rita Gonzalez-Dominguez, Milan Malinsky, Carolin Sommer-Trembo, Laura Fritschi, Amelia Mesich, Ayasha Abdalla-Wyse and 2 more

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

12 authors.

Annika L A Nichols *Biozentrum, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-0388-904X
Maxwell E R Shafer *Biozentrum, University of Basel, Basel, Switzerland. maxwell.shafer@utoronto.ca.ORCID http://orcid.org/0000-0002-1853-0566
Adrian IndermaurZoological Institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland.
Attila RüeggZoological Institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0009-0006-8539-6471
Rita Gonzalez-DominguezBiozentrum, University of Basel, Basel, Switzerland.
Milan MalinskyZoological Institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-1462-6317
Carolin Sommer-TremboZoological Institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland.
Laura FritschiZoological Institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland.
Amelia MesichDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0009-0001-3143-689X
Ayasha Abdalla-WyseDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0009-0003-2432-8422
Walter SalzburgerZoological Institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-9988-1674
Alexander F SchierBiozentrum, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0001-7645-5325

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) SO 1737/1-1Human Frontier Science Program (HFSP) LT000400/2019-LSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 193464Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 196313Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 197837Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 208002
6 · The paper itself

Abstract

The partitioning of ecological niches is a fundamental component of species diversification in adaptive radiations. However, it is currently unknown if and how such bursts of organismal diversity are influenced by temporal niche partitioning, wherein species avoid competition by being active or sleeping during different time windows. Here we address this question through profiling temporal activity patterns in the exceptionally diverse fauna of cichlid fishes from the African Lake Tanganyika. By integrating week-long longitudinal behavioural recordings of over 500 individuals from 60 species with eco-morphological and genomic information, we provide two lines of evidence that temporal niche partitioning occurs in this massive adaptive radiation. First, Tanganyikan cichlids exhibit all known circadian temporal activity patterns (diurnal, nocturnal, crepuscular and cathemeral) and display substantial interspecific variation in daily amounts of locomotion. Second, many species with similar habitat and diet niches occupy distinct temporal niches. Moreover, our results suggest that shifts between diurnal and nocturnal activity patterns are facilitated by a crepuscular intermediate state. Genome-wide association studies indicate that the genetics underlying activity patterns is complex, with different clades associated with different combinations of variants. The identified variants were not associated with core circadian clock genes but with genes implicated in synapse function. These observations indicate that temporal niche partitioning may have contributed to adaptive radiation in cichlids and that many genes are associated with the diversity and evolution of temporal activity patterns.

Indexed as

CichlidsEcosystemGenetic SpeciationAnimalsCircadian RhythmTanzania

Identifiers

PMID40866532
PMCPMC12507676

What OpenQuestion holds

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Registered trials

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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.