Evidence map›Paper›PMID 34297723›Full record

ArticlePloS one2021

Species identification based on a semi-diagnostic marker: Evaluation of a simple conchological test for distinguishing blue mussels Mytilus edulis L. and M. trossulus Gould.

Vadim Khaitov, Julia Marchenko, Marina Katolikova, Risto Väinölä, Sarah E Kingston, David B Carlon, Michael Gantsevich, Petr Strelkov

Abstract read
In one paragraph

Article in PloS one, 2021. 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

8 authors.

Vadim KhaitovSt. Petersburg State University, St. Petersburg, Russia.ORCID 0000-0001-5567-8554
Julia MarchenkoSt. Petersburg State University, St. Petersburg, Russia.
Marina KatolikovaSt. Petersburg State University, St. Petersburg, Russia.ORCID 0000-0001-6110-4258
Risto VäinöläFinnish Museum of Natural History, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-0056-5741
Sarah E KingstonDepartment of Biology & Schiller Coastal Studies Center, Bowdoin College, Brunswick, Maine, United States of America.ORCID 0000-0003-1607-1789
David B CarlonDepartment of Biology & Schiller Coastal Studies Center, Bowdoin College, Brunswick, Maine, United States of America.
Michael GantsevichDepartment of Invertebrate Zoology, Lomonosov Moscow State University, Moscow, Russia.ORCID 0000-0002-4854-2787
Petr StrelkovSt. Petersburg State University, St. Petersburg, Russia.

Funding

The Maine Biomedical Research Network (INBRE)P20GM103423 · NIGMS · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI Dustin Lynn Updike · 2012 to 2026
$60.0M
NIGMS NIH HHS P20 GM103423
6 · The paper itself

Abstract

Cryptic and hybridizing species may lack diagnostic taxonomic characters leaving researchers with semi-diagnostic ones. Identification based on such characters is probabilistic, the probability of correct identification depending on the species composition in a mixed population. Here we test the possibilities of applying a semi-diagnostic conchological character for distinguishing two cryptic species of blue mussels, Mytilus edulis and M. trossulus. These ecologically, stratigraphically and economically important molluscs co-occur and hybridize in many areas of the North Atlantic and the neighboring Arctic. Any cues for distinguishing them in sympatry without genotyping would save much research effort. Recently these species have been shown to statistically differ in the White Sea, where a simple character of the shell was used to distinguish two mussel morphotypes. In this paper, we analyzed the associations between morphotypes and species-specific genotypes based on an abundant material from the waters of the Kola Peninsula (White Sea, Barents Sea) and a more limited material from Norway, the Baltic Sea, Scotland and the Gulf of Maine. The performance of the "morphotype test" for species identification was formally evaluated using approaches from evidence-based medicine. Interspecific differences in the morphotype frequencies were ubiquitous and unidirectional, but their scale varied geographically (from 75% in the White Sea to 15% in the Baltic Sea). In addition, salinity-related variation of this character within M. edulis was revealed in the Arctic Barents Sea. For every studied region, we established relationships between the proportions of the morphotypes in the populations as well as between the proportions of the morphotypes in samples and the probabilities of mussels of different morphotypes being M. trossulus and M. edulis. We provide recommendations for the application of the morphotype test to mussels from unstudied contact zones and note that they may apply equally well to other taxa identified by semi-diagnostic traits.

Indexed as

Mytilus edulisSpecies SpecificityAnimalsGenotype

Identifiers

PMID34297723
PMCPMC8301678

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