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Evidence that disease-induced population decline changes genetic structure and alters dispersal patterns in the Tasmanian devil

Overview of attention for article published in Heredity, March 2010
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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6 Wikipedia pages
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1 YouTube creator

Citations

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65 Dimensions

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143 Mendeley
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Title
Evidence that disease-induced population decline changes genetic structure and alters dispersal patterns in the Tasmanian devil
Published in
Heredity, March 2010
DOI 10.1038/hdy.2010.17
Pubmed ID
Authors

S Lachish, K J Miller, A Storfer, A W Goldizen, M E Jones

Abstract

Infectious disease has been shown to be a major cause of population declines in wild animals. However, there remains little empirical evidence on the genetic consequences of disease-mediated population declines, or how such perturbations might affect demographic processes such as dispersal. Devil facial tumour disease (DFTD) has resulted in the rapid decline of the Tasmanian devil, Sarcophilus harrisii, and threatens to cause extinction. Using 10 microsatellite DNA markers, we compared genetic diversity and structure before and after DFTD outbreaks in three Tasmanian devil populations to assess the genetic consequences of disease-induced population decline. We also used both genetic and demographic data to investigate dispersal patterns in Tasmanian devils along the east coast of Tasmania. We observed a significant increase in inbreeding (F(IS) pre/post-disease -0.030/0.012, P<0.05; relatedness pre/post-disease 0.011/0.038, P=0.06) in devil populations after just 2-3 generations of disease arrival, but no detectable change in genetic diversity. Furthermore, although there was no subdivision apparent among pre-disease populations (θ=0.005, 95% confidence interval (CI) -0.003 to 0.017), we found significant genetic differentiation among populations post-disease (θ=0.020, 0.010-0.027), apparently driven by a combination of selection and altered dispersal patterns of females in disease-affected populations. We also show that dispersal is male-biased in devils and that dispersal distances follow a typical leptokurtic distribution. Our results show that disease can result in genetic and demographic changes in host populations over few generations and short time scales. Ongoing management of Tasmanian devils must now attempt to maintain genetic variability in this species through actions designed to reverse the detrimental effects of inbreeding and subdivision in disease-affected populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 6%
United Kingdom 2 1%
Italy 1 <1%
Australia 1 <1%
Unknown 131 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 23%
Student > Master 23 16%
Researcher 22 15%
Student > Bachelor 21 15%
Student > Doctoral Student 6 4%
Other 18 13%
Unknown 20 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 55%
Biochemistry, Genetics and Molecular Biology 14 10%
Environmental Science 9 6%
Immunology and Microbiology 5 3%
Veterinary Science and Veterinary Medicine 4 3%
Other 9 6%
Unknown 23 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 October 2022.
All research outputs
#7,475,276
of 23,493,900 outputs
Outputs from Heredity
#1,025
of 2,187 outputs
Outputs of similar age
#34,258
of 94,925 outputs
Outputs of similar age from Heredity
#8
of 21 outputs
Altmetric has tracked 23,493,900 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,187 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 51% 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 94,925 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.