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First results on the genetic diversity of the invasive signal crayfish Pacifastacus leniusculus (Dana, 1852) in Europe using novel microsatellite loci

Overview of attention for article published in Journal of Applied Genetics, February 2015
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Title
First results on the genetic diversity of the invasive signal crayfish Pacifastacus leniusculus (Dana, 1852) in Europe using novel microsatellite loci
Published in
Journal of Applied Genetics, February 2015
DOI 10.1007/s13353-015-0272-y
Pubmed ID
Authors

E. Froufe, S. Varandas, A. Teixeira, R. Sousa, L. Filipová, A. Petrusek, L. Edsman, M. Lopes-Lima

Abstract

The introduction of non-native crayfish in aquatic ecosystems is very common due to human activities (e.g. aquaculture, recreational and commercial fisheries). The signal crayfish, Pacifastacus leniusculus (Dana, 1852), is one of the most widespread invasive species in Europe. Although several important ecological and economic impacts of this species have been reported, its European population genetic characterisation has never been undertaken using nuclear markers. Thus, the aim of this study was to develop and characterise new microsatellite markers for signal crayfish that can be useful in future studies in its invaded range, since only five are available so far. In total, 93 individuals from four geographically distinct European populations (Portugal, Great Britain, Finland and Sweden) were scored for the new markers and for those previously described, with the Bayesian analysis revealing a clear distinction among populations. These markers are suitable for future studies of the population genetic structure of this important invasive species, by increasing information about the possible pathways of introduction and dispersal, and by giving insights about the most important vectors of introduction.

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Mendeley readers

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 25%
Researcher 5 14%
Student > Ph. D. Student 5 14%
Professor > Associate Professor 3 8%
Student > Bachelor 3 8%
Other 5 14%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 53%
Biochemistry, Genetics and Molecular Biology 4 11%
Environmental Science 3 8%
Unspecified 1 3%
Engineering 1 3%
Other 0 0%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2015.
All research outputs
#19,674,885
of 24,195,945 outputs
Outputs from Journal of Applied Genetics
#259
of 408 outputs
Outputs of similar age
#266,217
of 360,682 outputs
Outputs of similar age from Journal of Applied Genetics
#6
of 9 outputs
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