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Characterisation of MHC class I genes in the koala

Overview of attention for article published in Immunogenetics, July 2017
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Article details
Title
Characterisation of MHC class I genes in the koala
Published in
Immunogenetics, July 2017
DOI 10.1007/s00251-017-1018-2
Pubmed ID
Authors
Abstract

Koala (Phascolarctos cinereus) populations are on the decline across the majority of Australia's mainland. Two major diseases threatening the long-term survival of affected koala populations are caused by obligate intracellular pathogens: Chlamydia and koala retrovirus (KoRV). To improve our understanding of the koala immune system, we characterised their major histocompatibility complex (MHC) class I genes, which are centrally involved in presenting foreign peptides derived from intracellular pathogens to cytotoxic T cells. A total of 11 class I genes were identified in the koala genome. Three genes, Phci-UA, UB and UC, showed relatively high genetic variability and were expressed in all 12 examined tissues, whereas the other eight genes had tissue-specific expression and limited polymorphism. Evidence of diversifying selection was detected in Phci-UA and UC, while gene conversion may have played a role in creating new alleles at Phci-UB. We propose that Phci-UA, UB and UC are likely classical MHC genes of koalas, and further research is needed to understand their role in koala chlamydial and KoRV infections.

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X Demographics

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The data shown below were collected from the profiles of 2 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 22 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 %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 18%
Other 2 9%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Other 6 27%
Unknown 4 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 32%
Environmental Science 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Veterinary Science and Veterinary Medicine 1 5%
Nursing and Health Professions 1 5%
Other 2 9%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 July 2017.
All research outputs
#14,943,828
of 22,985,065 outputs
Outputs from Immunogenetics
#926
of 1,202 outputs
Outputs of similar age
#187,034
of 314,066 outputs
Outputs of similar age from Immunogenetics
#19
of 31 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,202 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 20th percentile – i.e., 20% 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 314,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.