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Genetic susceptibility to infectious disease in East African Shorthorn Zebu: a genome-wide analysis of the effect of heterozygosity and exotic introgression

Overview of attention for article published in BMC Ecology and Evolution, November 2013
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Title
Genetic susceptibility to infectious disease in East African Shorthorn Zebu: a genome-wide analysis of the effect of heterozygosity and exotic introgression
Published in
BMC Ecology and Evolution, November 2013
DOI 10.1186/1471-2148-13-246
Pubmed ID
Authors

Gemma GR Murray, Mark EJ Woolhouse, Miika Tapio, Mary N Mbole-Kariuki, Tad S Sonstegard, Samuel M Thumbi, Amy E Jennings, Ilana Conradie van Wyk, Margo Chase-Topping, Henry Kiara, Phil Toye, Koos Coetzer, Barend M deC Bronsvoort, Olivier Hanotte

Abstract

Positive multi-locus heterozygosity-fitness correlations have been observed in a number of natural populations. They have been explained by the correlation between heterozygosity and inbreeding, and the negative effect of inbreeding on fitness (inbreeding depression). Exotic introgression in a locally adapted population has also been found to reduce fitness (outbreeding depression) through the breaking-up of co-adapted genes, or the introduction of non-locally adapted gene variants. In this study we examined the inter-relationships between genome-wide heterozygosity, introgression, and death or illness as a result of infectious disease in a sample of calves from an indigenous population of East African Shorthorn Zebu (crossbred Bos taurus x Bos indicus) in western Kenya. These calves were observed from birth to one year of age as part of the Infectious Disease in East African Livestock (IDEAL) project. Some of the calves were found to be genetic hybrids, resulting from the recent introgression of European cattle breed(s) into the indigenous population. European cattle are known to be less well adapted to the infectious diseases present in East Africa. If death and illness as a result of infectious disease have a genetic basis within the population, we would expect both a negative association of these outcomes with introgression and a positive association with heterozygosity.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Ireland 1 1%
Cameroon 1 1%
Finland 1 1%
Kenya 1 1%
Argentina 1 1%
United Kingdom 1 1%
Unknown 68 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 25%
Student > Ph. D. Student 16 21%
Student > Master 7 9%
Student > Doctoral Student 4 5%
Student > Bachelor 4 5%
Other 12 16%
Unknown 14 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 38%
Veterinary Science and Veterinary Medicine 10 13%
Medicine and Dentistry 8 11%
Biochemistry, Genetics and Molecular Biology 4 5%
Environmental Science 2 3%
Other 7 9%
Unknown 16 21%
Attention Score in Context

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 02 September 2015.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#171,876
of 228,060 outputs
Outputs of similar age from BMC Ecology and Evolution
#57
of 67 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 228,060 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.