Evidence map›Paper›PMID 39191906›Full record

ArticleScientific reports2024

The importance of reproductive isolation in driving diversification and speciation within Peruvian mimetic poison frogs (Dendrobatidae).

Ugo Lorioux-Chevalier, Mathieu Chouteau, Alexandre-Benoit Roland

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ugo Lorioux-ChevalierLaboratoire Écologie, Évolution, Interactions des Systèmes Amazoniens, UAR 3456, CNRS, IFREMER, Université de Guyane, Cayenne, France. ugo.lorioux.chevalier@gmail.com.
Mathieu ChouteauLaboratoire Écologie, Évolution, Interactions des Systèmes Amazoniens, UAR 3456, CNRS, IFREMER, Université de Guyane, Cayenne, France.
Alexandre-Benoit RolandLaboratoire Écologie, Évolution, Interactions des Systèmes Amazoniens, UAR 3456, CNRS, IFREMER, Université de Guyane, Cayenne, France. alexbenroland@gmail.com.

Funding

Agence Nationale de la Recherche ANR-20-CE02-0003
6 · The paper itself

Abstract

To explain how populations with distinct warning signals coexist in close parapatry, we experimentally assessed intrinsic mechanisms acting as reproductive barriers within three poison-frog species from the Peruvian Amazon belonging to a Müllerian mimetic ring (Ranitomeya variabilis, Ranitomeya imitator and Ranitomeya fantastica). We tested the role of prezygotic and postzygotic isolation barriers between phenotypically different ecotypes of each species, using no-choice mating experiments and offspring survival analysis. Our results show that prezygotic mating preference did not occur except for one specific ecotype of R. imitator, and that all three species were able to produce viable inter-population F1 hybrids. However, while R. variabilis and R. imitator hybrids were able to produce viable F2 generations, we found that for R. fantastica, every F1 hybrid males were sterile while females remained fertile. This unexpected result, echoing with Haldane's rule of speciation, validated phylogenetic studies which tentatively diagnose these populations of R. fantastica as two different species. Our work suggests that postzygotic genetic barriers likely participate in the extraordinary phenotypic diversity observed within Müllerian mimetic Ranitomeya populations, by maintaining species boundaries.

Indexed as

Genetic SpeciationReproductive IsolationAnimalsAnuraFemaleMalePeruPhenotypePhylogenyPoison FrogsReproductionAdaptive diversificationHybrid sterilityMate choicePostzygotic isolationPrezygotic isolation

Identifiers

PMID39191906
PMCPMC11349946

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.