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How a haemosporidian parasite of bats gets around: the genetic structure of a parasite, vector and host compared

Overview of attention for article published in Molecular Ecology, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Article details
Title
How a haemosporidian parasite of bats gets around: the genetic structure of a parasite, vector and host compared
Published in
Molecular Ecology, February 2015
DOI 10.1111/mec.13071
Pubmed ID
Authors
Abstract

Parasite population structure is often thought to be largely shaped by that of its host. In the case of a parasite with a complex life cycle, two host species, each with their own patterns of demography and migration, spread the parasite. However, the population structure of the parasite is predicted to resemble only that of the most vagile host species. In this study, we tested this prediction in the context of a vector-transmitted parasite. We sampled the haemosporidian parasite Polychromophilus melanipherus across its European range, together with its bat fly vector Nycteribia schmidlii and its host, the bent-winged bat Miniopterus schreibersii. Based on microsatellite analyses, the wingless vector, and not the bat host, was identified as the least structured population and should therefore be considered the most vagile host. Genetic distance matrices were compared for all three species based on a mitochondrial DNA fragment. Both host and vector populations followed an isolation-by-distance pattern across the Mediterranean, but not the parasite. Mantel tests found no correlation between the parasite and either the host or vector populations. We therefore found no support for our hypothesis; the parasite population structure matched neither vector nor host. Instead, we propose a model where the parasite's gene flow is represented by the added effects of host and vector dispersal patterns.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Mexico 1 1%
United Kingdom 1 1%
France 1 1%
Spain 1 1%
Czechia 1 1%
Australia 1 1%
Unknown 93 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Student > Master 18 18%
Researcher 17 17%
Student > Doctoral Student 6 6%
Student > Bachelor 4 4%
Other 12 12%
Unknown 22 22%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 53 54%
Environmental Science 7 7%
Biochemistry, Genetics and Molecular Biology 7 7%
Veterinary Science and Veterinary Medicine 1 1%
Unspecified 1 1%
Other 5 5%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 February 2015.
All research outputs
#5,170,445
of 26,746,748 outputs
Outputs from Molecular Ecology
#2,561
of 6,908 outputs
Outputs of similar age
#65,082
of 364,991 outputs
Outputs of similar age from Molecular Ecology
#35
of 108 outputs
Altmetric has tracked 26,746,748 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,908 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 62% 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 364,991 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 108 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 67% of its contemporaries.