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Patterns of genetic variation and the role of selection in HTR1A and HTR1B in macaques (Macaca)

Overview of attention for article published in BMC Genomic Data, November 2014
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Title
Patterns of genetic variation and the role of selection in HTR1A and HTR1B in macaques (Macaca)
Published in
BMC Genomic Data, November 2014
DOI 10.1186/s12863-014-0116-5
Pubmed ID
Authors

Milena R Shattuck, Jessica Satkoski-Trask, Amos Deinard, Raul Y Tito, David G Smith, Don J Melnick, Ripan S Malhi

Abstract

BackgroundResearch has increasingly highlighted the role of serotonin in behavior. However, few researchers have examined serotonin in an evolutionary context, although such research could provide insight into the evolution of important behaviors. The genus Macaca represents a useful model to address this, as this genus shows a wide range of behavioral variation. In addition, many genetic features of the macaque serotonin system are similar to those of humans, and as common models in biomedical research, knowledge of the genetic variation and evolution of serotonin functioning in macaques are particularly relevant for studies of human evolution. Here, we examine the role of selection in the macaque serotonin system by comparing patterns of genetic variation for two genes that code for two types of serotonin receptors ¿ HTR1A and HTR1B ¿ across five species of macaques.ResultsThe pattern of variation is significantly different for HTR1A compared to HTR1B. Specifically, there is an increase in between-species variation compared to within-species variation for HTR1A. Phylogenetic analyses indicate that portions of HTR1A show an elevated level of nonsynonymous substitutions. Together these analyses are indicative of positive selection acting on HTR1A, but not HTR1B. Furthermore, the haplotype network for HTR1A is inconsistent with the species tree, potentially due to both deep coalescence and selection.ConclusionsThe results of this study indicate distinct evolutionary histories for HTR1A and HTR1B, with HTR1A showing evidence of selection and a high level of divergence among species, a factor which may have an impact on biomedical research that uses these species as models. The wide genetic variation of HTR1A may also explain some of the species differences in behavior, although further studies on the phenotypic effect of the sequenced polymorphisms are needed to confirm this.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Student > Bachelor 3 17%
Student > Master 3 17%
Professor 1 6%
Librarian 1 6%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 44%
Biochemistry, Genetics and Molecular Biology 4 22%
Social Sciences 2 11%
Environmental Science 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 2 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2014.
All research outputs
#14,915,133
of 25,374,917 outputs
Outputs from BMC Genomic Data
#453
of 1,204 outputs
Outputs of similar age
#135,064
of 276,327 outputs
Outputs of similar age from BMC Genomic Data
#12
of 41 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 60% 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 276,327 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 41 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.