↓ Skip to main content

Phylogenetics of a Fungal Invasion: Origins and Widespread Dispersal of White-Nose Syndrome

Overview of attention for article published in mBio, December 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

11 news outlets
3 blogs
43 tweeters
1 Facebook page
1 Wikipedia page
1 video uploader


44 Dimensions

Readers on

83 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Phylogenetics of a Fungal Invasion: Origins and Widespread Dispersal of White-Nose Syndrome
Published in
mBio, December 2017
DOI 10.1128/mbio.01941-17
Pubmed ID

Kevin P. Drees, Jeffrey M. Lorch, Sebastien J. Puechmaille, Katy L. Parise, Gudrun Wibbelt, Joseph R. Hoyt, Keping Sun, Ariunbold Jargalsaikhan, Munkhnast Dalannast, Jonathan M. Palmer, Daniel L. Lindner, A. Marm Kilpatrick, Talima Pearson, Paul S. Keim, David S. Blehert, Jeffrey T. Foster


Globalization has facilitated the worldwide movement and introduction of pathogens, but epizoological reconstructions of these invasions are often hindered by limited sampling and insufficient genetic resolution among isolates. Pseudogymnoascus destructans, a fungal pathogen causing the epizootic of white-nose syndrome in North American bats, has exhibited few genetic polymorphisms in previous studies, presenting challenges for both epizoological tracking of the spread of this fungus and for determining its evolutionary history. We used single nucleotide polymorphisms (SNPs) from whole-genome sequencing and microsatellites to construct high-resolution phylogenies of P. destructans Shallow genetic diversity and the lack of geographic structuring among North American isolates support a recent introduction followed by expansion via clonal reproduction across the epizootic zone. Moreover, the genetic relationships of isolates within North America suggest widespread mixing and long-distance movement of the fungus. Genetic diversity among isolates of P. destructans from Europe was substantially higher than in those from North America. However, genetic distance between the North American isolates and any given European isolate was similar to the distance between the individual European isolates. In contrast, the isolates we examined from Asia were highly divergent from both European and North American isolates. Although the definitive source for introduction of the North American population has not been conclusively identified, our data support the origin of the North American invasion by P. destructans from Europe rather than Asia.IMPORTANCE This phylogenetic study of the bat white-nose syndrome agent, P. destructans, uses genomics to elucidate evolutionary relationships among populations of the fungal pathogen to understand the epizoology of this biological invasion. We analyze hypervariable and abundant genetic characters (microsatellites and genomic SNPs, respectively) to reveal previously uncharacterized diversity among populations of the pathogen from North America and Eurasia. We present new evidence supporting recent introduction of the fungus to North America from a diverse Eurasian population, with limited increase in genetic variation in North America since that introduction.

Twitter Demographics

The data shown below were collected from the profiles of 43 tweeters 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 23%
Student > Master 17 20%
Student > Bachelor 14 17%
Other 7 8%
Student > Ph. D. Student 6 7%
Other 11 13%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 42%
Biochemistry, Genetics and Molecular Biology 16 19%
Environmental Science 11 13%
Veterinary Science and Veterinary Medicine 7 8%
Nursing and Health Professions 1 1%
Other 3 4%
Unknown 10 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 122. 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 01 February 2021.
All research outputs
of 18,699,798 outputs
Outputs from mBio
of 4,674 outputs
Outputs of similar age
of 424,697 outputs
Outputs of similar age from mBio
of 176 outputs
Altmetric has tracked 18,699,798 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,674 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 424,697 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.