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Optimized methods for total nucleic acid extraction and quantification of the bat white-nose syndrome fungus, Pseudogymnoascus destructans, from swab and environmental samples

Overview of attention for article published in Journal of Veterinary Diagnostic Investigation, March 2016
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1 tweeter

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Title
Optimized methods for total nucleic acid extraction and quantification of the bat white-nose syndrome fungus, Pseudogymnoascus destructans, from swab and environmental samples
Published in
Journal of Veterinary Diagnostic Investigation, March 2016
DOI 10.1177/1040638715626963
Pubmed ID
Authors

Michelle L. Verant, Elizabeth A. Bohuski, Jeffery M. Lorch, David S. Blehert

Abstract

The continued spread of white-nose syndrome and its impacts on hibernating bat populations across North America has prompted nationwide surveillance efforts and the need for high-throughput, noninvasive diagnostic tools. Quantitative real-time polymerase chain reaction (qPCR) analysis has been increasingly used for detection of the causative fungus, Pseudogymnoascus destructans, in both bat- and environment-associated samples and provides a tool for quantification of fungal DNA useful for research and monitoring purposes. However, precise quantification of nucleic acid from P. destructans is dependent on effective and standardized methods for extracting nucleic acid from various relevant sample types. We describe optimized methodologies for extracting fungal nucleic acids from sediment, guano, and swab-based samples using commercial kits together with a combination of chemical, enzymatic, and mechanical modifications. Additionally, we define modifications to a previously published intergenic spacer-based qPCR test for P. destructans to refine quantification capabilities of this assay.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Master 7 16%
Student > Doctoral Student 4 9%
Student > Ph. D. Student 4 9%
Other 4 9%
Other 9 20%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 38%
Environmental Science 7 16%
Veterinary Science and Veterinary Medicine 3 7%
Biochemistry, Genetics and Molecular Biology 2 4%
Arts and Humanities 1 2%
Other 6 13%
Unknown 9 20%

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 12 March 2016.
All research outputs
#11,116,644
of 12,499,825 outputs
Outputs from Journal of Veterinary Diagnostic Investigation
#794
of 1,008 outputs
Outputs of similar age
#223,988
of 267,613 outputs
Outputs of similar age from Journal of Veterinary Diagnostic Investigation
#22
of 32 outputs
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So far Altmetric has tracked 1,008 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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