Cited by 26Invertebrate Taxonomy and EcologyMarine Biology and Ecology ResearchEvolution and Paleontology Studies

Scientific history, biogeography, and biological traits predict presence of cryptic or overlooked species

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Cahill, Abigail E., Meglécz, Emese, Chenuil, Anne·2024·Biological Reviews

Abstract

Genetic data show that many nominal species are composed of more than one biological species, and thus contain cryptic species in the broad sense (including overlooked species). When ignored, cryptic species generate confusion which, beyond biodiversity or vulnerability underestimation, blurs our understanding of ecological and evolutionary processes and may impact the soundness of decisions in conservation or medicine. However, very few hypotheses have been tested about factors that predispose a taxon to contain cryptic or overlooked species. To fill this gap, we surveyed the literature on free‐living marine metazoans and built two data sets, one of 187,603 nominal species and another of 83 classes or phyla, to test several hypotheses, correcting for sequence data availability, taxon size and phylogenetic relatedness. We found a strong effect of scientific history: the probability of a taxon containing cryptic species was highest for the earliest described species and varied among time periods potentially consistently with an influence of prevailing scientific theories. The probability of cryptic species being present was also increased for species with large distribution ranges. They were more frequent in the north polar and south polar zones, contradicting previous predictions of more cryptic species in the tropics, and supporting the hypothesis that many cryptic species diverged recently. The number of cryptic species varied among classes, with an excess in hydrozoans and polychaetes, and a deficit in actinopterygians, for example, but precise class ranking was relatively sensitive to the statistical model used. For all models, biological traits, rather than phylum, appeared responsible for the variation among classes: there were fewer cryptic species than expected in classes with hard skeletons (perhaps because they provide good characters for taxonomy) and image‐forming vision (in which selection against heterospecific mating may enhance morphological divergence), and more in classes with internal fertilisation. We estimate that among marine free‐living metazoans, several thousand additional cryptic species complexes could be identified as more sequence data become available. The factors identified as important for marine animal cryptic species are likely important for other biomes and taxa and should aid many areas in biology that rely on accurate species identification.

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Crossref · 10.1111/brv.13034

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Authors
Cahill, A. E., Meglécz, E., & Chenuil, A.
Affiliations
  • Albion College (US)
  • Centre National de la Recherche Scientifique (FR)
Corresponding author
Chenuil, Anne
Venue
Biological Reviews
Publisher
Wiley
Published
2023-12-04
Volume
99
Issue
2
Pages
546-561
ISSN
  • 0006-3231 (ISSN-L)
  • 1464-7931
  • 1469-185X
OpenAlex
W4389345156
Cited by
26
References
0
Citations by year
2026: 15 · 2025: 5 · 2024: 6
FWCI
0.72
Type
journal article
Language
en
Open access
Locations
  • Biological reviews/Biological reviews of the Cambridge Philosophical Society (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by-nc)
Funders
  • Aix-Marseille Université
  • Centre National de la Recherche Scientifique
  • European Commission (grant agreement no. 308392 DEVOTES)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Invertebrate Taxonomy and Ecology
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Biology and Ecology Research
  • Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
Keywords
cryptic species, overlooked species, species complex, scientific history, biogeography, biological characteristics, geographic range, Hydrozoa, Polychaeta, species identification
MeSH terms
Animals, Biological Evolution, Phylogeny, Models, Statistical, Ecosystem, Biodiversity

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