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Characterisation of Toll-like receptors 4, 5 and 7 and their genetic variation in the grey partridge

Overview of attention for article published in Genetica, January 2015
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Title
Characterisation of Toll-like receptors 4, 5 and 7 and their genetic variation in the grey partridge
Published in
Genetica, January 2015
DOI 10.1007/s10709-015-9819-4
Pubmed ID
Authors

Michal Vinkler, Hana Bainová, Anna Bryjová, Oldřich Tomášek, Tomáš Albrecht, Josef Bryja

Abstract

Toll-like receptors (TLRs) are a cornerstone of vertebrate innate immunity. In this study, we identified orthologues of TLR4, TLR5 and TLR7 (representing both bacterial- and viral-sensing TLRs) in the grey partridge (Perdix perdix), a European Galliform game bird species. The phylogeny of all three TLR genes follows the known phylogeny of Galloanserae birds, placing grey partridge TLRs (PePeTLRs) in close proximity to their turkey and pheasant orthologues. The predicted proteins encoded by the PePeTLR genes were 843, 862-863 and 1,047 amino acids long, respectively, and clearly showed all TLR structural features. To verify functionality in these genes we mapped their tissue-expression profiles, revealing generally high PePeTLR4 and PePeTLR5 expression in the thymus and absence of PePeTLR4 and PePeTLR7 expression in the brain. Using 454 next-generation sequencing, we then assessed genetic variation within these genes for a wild grey partridge population in the Czech Republic, EU. We identified 11 nucleotide substitutions in PePeTLR4, eight in PePeTLR5 and six in PePeTLR7, resulting in four, four and three amino acid replacements, respectively. Given their locations and chemical features, most of these non-synonymous substitutions probably have a minor functional impact. As the intraspecific genetic variation of the three TLR genes was low, we assume that either negative selection or a bottleneck may have reduced TLR population variability in this species.

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Geographical breakdown

Country Count As %
India 1 4%
South Africa 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Researcher 7 28%
Student > Master 4 16%
Librarian 1 4%
Student > Doctoral Student 1 4%
Other 3 12%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 48%
Biochemistry, Genetics and Molecular Biology 7 28%
Veterinary Science and Veterinary Medicine 1 4%
Environmental Science 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 2 8%
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 24 September 2015.
All research outputs
#17,740,286
of 22,782,096 outputs
Outputs from Genetica
#525
of 713 outputs
Outputs of similar age
#242,470
of 352,978 outputs
Outputs of similar age from Genetica
#10
of 22 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 713 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 22nd percentile – i.e., 22% 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 352,978 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.