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The Fasciola hepatica genome: gene duplication and polymorphism reveals adaptation to the host environment and the capacity for rapid evolution

Overview of attention for article published in Genome Biology, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
29 X users
peer_reviews
1 peer review site
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
225 Dimensions

Readers on

mendeley
258 Mendeley
citeulike
1 CiteULike
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Title
The Fasciola hepatica genome: gene duplication and polymorphism reveals adaptation to the host environment and the capacity for rapid evolution
Published in
Genome Biology, April 2015
DOI 10.1186/s13059-015-0632-2
Pubmed ID
Authors

Krystyna Cwiklinski, John Pius Dalton, Philippe J Dufresne, James La Course, Diana JL Williams, Jane Hodgkinson, Steve Paterson

Abstract

The liver fluke Fasciola hepatica is a major pathogen of livestock worldwide, causing huge economic losses to agriculture, as well as 2.4 million human infections annually. Here we provide a draft genome for F. hepatica, which we find to be amongst the largest known pathogen genomes at 1.3Gb. This size cannot be explained by genome duplication or expansion of a single repeat element, and remains a paradox given the burden it may impose on egg production necessary to transmit infection. Despite the potential for inbreeding by facultative self-fertilization, substantial levels of polymorphism were found, which highlights the evolutionary potential for rapid adaptation to changes in host availability, climate change or to drug or vaccine interventions. Non-synonymous polymorphisms were elevated in genes shared with parasitic taxa, which may be particularly relevant for the ability of the parasite to adapt to a broad range of definitive mammalian and intermediate molluscan hosts. Large-scale transcriptional changes, particularly within expanded protease and tubulin families, were found as the parasite migrated from the gut, across the peritoneum and through the liver to mature in the bile ducts. We identify novel members of anti-oxidant and detoxification pathways and defined their differential expression through infection, which may explain the stage-specific efficacy of different anthelmintic drugs. The genome analysis described here provides new insights into the evolution of this important pathogen, its adaptation to the host environment and external selection pressures. This analysis also provides a platform for research into novel drugs and vaccines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 3 1%
Uruguay 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Peru 1 <1%
Czechia 1 <1%
Taiwan 1 <1%
Denmark 1 <1%
Unknown 248 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 19%
Researcher 47 18%
Student > Bachelor 34 13%
Student > Master 29 11%
Student > Doctoral Student 14 5%
Other 41 16%
Unknown 44 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 34%
Biochemistry, Genetics and Molecular Biology 44 17%
Veterinary Science and Veterinary Medicine 29 11%
Medicine and Dentistry 9 3%
Immunology and Microbiology 8 3%
Other 24 9%
Unknown 55 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 13 July 2020.
All research outputs
#1,632,447
of 25,371,288 outputs
Outputs from Genome Biology
#1,333
of 4,467 outputs
Outputs of similar age
#20,785
of 279,374 outputs
Outputs of similar age from Genome Biology
#18
of 62 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 70% 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 279,374 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 92% of its contemporaries.
We're also able to compare this research output to 62 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 70% of its contemporaries.