Evidence map›Paper›PMID 38503840›Full record

ArticleScientific reports2024

Species delimitation, discovery and conservation in a tiger beetle species complex despite discordant genetic data.

Daniel P Duran, Robert A Laroche, Stephen J Roman, William Godwin, David P Herrmann, Ethan Bull, Scott P Egan

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Daniel P DuranDepartment of Environmental Science, Rowan University, Glassboro, NJ, 08028, USA. duran@rowan.edu.
Robert A LarocheDepartment of BioSciences, Rice University, Houston, TX, 77005, USA.
Stephen J RomanFlorida State Collection of Arthropods, Gainesville, FL, 32608, USA.
William GodwinSam Houston State Natural History Collection, Huntsville, TX, 77340, USA.
David P HerrmannAlyn Patrick and Associates, Irving, TX, 75063, USA.
Ethan BullDepartment of BioSciences, Rice University, Houston, TX, 77005, USA.
Scott P EganDepartment of BioSciences, Rice University, Houston, TX, 77005, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an age of species declines, delineating and discovering biodiversity is critical for both taxonomic accuracy and conservation. In recent years, there has been a movement away from using exclusively morphological characters to delineate and describe taxa and an increase in the use of molecular markers to describe diversity or through integrative taxonomy, which employs traditional morphological characters, as well as genetic or other data. Tiger beetles are charismatic, of conservation concern, and much work has been done on the morphological delineation of species and subspecies, but few of these taxa have been tested with genetic analyses. In this study, we tested morphologically based taxonomic hypotheses of polymorphic tiger beetles in the Eunota circumpicta (LaFerté-Sénectère, 1841) species complex using multilocus genomic and mtDNA analyses. We find multiple cryptic species within the previous taxonomic concept of Eunota circumpicta, some of which were historically recognized as subspecies. We found that the mtDNA and genomic datasets did not identify the same taxonomic units and that the mtDNA was most at odds with all other genetic and morphological patterns. Overall, we describe new cryptic diversity, which raises important conservation concerns, and provide a working example for testing species and subspecies validity despite discordant data.

Indexed as

ColeopteraDNA, MitochondrialAnimalsBiodiversityMitochondriaPhylogenySpecies SpecificityDNA, Mitochondrial

Identifiers

PMID38503840
PMCPMC10951344

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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.