Evidence map›Paper›PMID 41928079›Full record

ArticleBMC ecology and evolution2026

Diversification of cichlids in the genus Danakilia in the Danakil depression of Eritrea and Ethiopia.

S Elizabeth Alter, Giorgio Chiozzi, Giuseppe De Marchi, Mauro Fasola, Naoko P Kurata, Melanie L J Stiassny

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Article in BMC ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

S Elizabeth AlterDepartment of Biology, Agriculture and Chemistry, California State University Monterey Bay, Seaside, CA, USA. ealter@csumb.edu.ORCID 0000-0003-0597-9206
Giorgio ChiozziMuseo di Storia Naturale di Milano, Corso Venezia 55, 20121, Milan, Italy.ORCID 0000-0002-1811-0254
Giuseppe De MarchiSocietà Italiana di Scienze Naturali, Corso Venezia 55, 20121, Milan, Italy.ORCID 0000-0002-5894-9089
Mauro FasolaDipartimento di Scienze della Terra e dell'Ambiente, Università degli Studi di Pavia, Via Ferrata 1, 27100, Pavia, Italy.ORCID 0000-0002-7366-5893
Naoko P KurataDepartment of Ichthyology, American Museum of Natural History, New York, New York, USA.ORCID 0000-0002-4236-2646
Melanie L J StiassnyDepartment of Ichthyology, American Museum of Natural History, New York, New York, USA.ORCID 0000-0001-8220-4768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCichlids in the genus Danakilia, endemic to the hyper-arid Danakil Depression of Eritrea and Ethiopia, represent a rare example of diversification in one of Earth’s most extreme aquatic environments. While previous mitochondrial and morphological studies have identified two species (D. franchettii and D. dinicolai), the evolutionary history of this clade remains poorly resolved. Here, we use genome-wide SNP data from 85 individuals of Danakilia, sampled across six sites to infer phylogenetic relationships, assess population structure, and explore the role of historical hydrology in shaping diversification within the genus. We analyzed double-digest RAD-seq data to generate maximum likelihood phylogenies, PCA, and admixture profiles, and calculated pairwise FST values to assess genetic differentiation.

resultsOur results support strong phylogenetic and population-level differentiation between the two described species and three additional riverine populations, with four to five discrete genetic clusters identified. Phylogenetic analyses confirm the monophyly of D. dinicolai and reveal that all riverine populations form a well-supported clade sister to D. dinicolai, suggesting a shared origin. In contrast, D. franchettii is not monophyletic, and populations from southern spring habitats near Lake Afrera show limited genetic structure. Patterns of genetic divergence are broadly consistent with a paleohydrological model in which a mid-Holocene lake system connected the northern and southern Danakil Depression, facilitating gene flow among now-isolated habitats. We also detect varying levels of admixture among the northern populations, with evidence of historical gene flow between the crater lake and riverine populations. Despite their close geographic proximity, the three riverine populations are genetically distinct and may represent independent evolutionary units.

conclusionsThese findings suggest a complex interplay of historical connectivity, geographic isolation, and adaptation to extreme environmental gradients in driving divergence within Danakilia. Given emerging environmental threats in the region, our results underscore the urgent need for conservation attention and further exploration of unsampled populations to fully characterize the evolutionary and ecological diversity of this little-known lineage.

Indexed as

CichlidsGenetics, PopulationGenetic VariationAnimalsEritreaEthiopiaPhylogenyPolymorphism, Single NucleotideExtreme environmentsPhylogeographyPopulation genomicsRADseq

Identifiers

PMID41928079
PMCPMC13045030

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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.