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Colour Patterns Do Not Diagnose Species: Quantitative Evaluation of a DNA Barcoded Cryptic Bumblebee Complex

Overview of attention for article published in PLOS ONE, January 2012
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Title
Colour Patterns Do Not Diagnose Species: Quantitative Evaluation of a DNA Barcoded Cryptic Bumblebee Complex
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029251
Pubmed ID
Authors

James C. Carolan, Tomás E. Murray, Úna Fitzpatrick, John Crossley, Hans Schmidt, Björn Cederberg, Luke McNally, Robert J. Paxton, Paul H. Williams, Mark J. F. Brown

Abstract

Cryptic diversity within bumblebees (Bombus) has the potential to undermine crucial conservation efforts designed to reverse the observed decline in many bumblebee species worldwide. Central to such efforts is the ability to correctly recognise and diagnose species. The B. lucorum complex (Bombus lucorum, B. cryptarum and B. magnus) comprises one of the most abundant and important group of wild plant and crop pollinators in northern Europe. Although the workers of these species are notoriously difficult to diagnose morphologically, it has been claimed that queens are readily diagnosable from morphological characters. Here we assess the value of colour-pattern characters in species identification of DNA-barcoded queens from the B. lucorum complex. Three distinct molecular operational taxonomic units were identified each representing one species. However, no uniquely diagnostic colour-pattern character state was found for any of these three molecular units and most colour-pattern characters showed continuous variation among the units. All characters previously deemed to be unique and diagnostic for one species were displayed by specimens molecularly identified as a different species. These results presented here raise questions on the reliability of species determinations in previous studies and highlights the benefits of implementing DNA barcoding prior to ecological, taxonomic and conservation studies of these important key pollinators.

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Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
France 2 1%
Colombia 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 137 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 19%
Student > Master 28 19%
Student > Ph. D. Student 20 13%
Student > Bachelor 18 12%
Other 7 5%
Other 26 17%
Unknown 21 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 83 56%
Environmental Science 14 9%
Biochemistry, Genetics and Molecular Biology 10 7%
Medicine and Dentistry 3 2%
Social Sciences 2 1%
Other 10 7%
Unknown 27 18%