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Developmental constraint through negative pleiotropy in the zygomatic arch

Overview of attention for article published in EvoDevo, January 2018
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Title
Developmental constraint through negative pleiotropy in the zygomatic arch
Published in
EvoDevo, January 2018
DOI 10.1186/s13227-018-0092-3
Pubmed ID
Authors

Christopher J. Percival, Rebecca Green, Charles C. Roseman, Daniel M. Gatti, Judith L. Morgan, Stephen A. Murray, Leah Rae Donahue, Jessica M. Mayeux, K. Michael Pollard, Kunjie Hua, Daniel Pomp, Ralph Marcucio, Benedikt Hallgrímsson

Abstract

Previous analysis suggested that the relative contribution of individual bones to regional skull lengths differ between inbred mouse strains. If the negative correlation of adjacent bone lengths is associated with genetic variation in a heterogeneous population, it would be an example of negative pleiotropy, which occurs when a genetic factor leads to opposite effects in two phenotypes. Confirming negative pleiotropy and determining its basis may reveal important information about the maintenance of overall skull integration and developmental constraint on skull morphology. We identified negative correlations between the lengths of the frontal and parietal bones in the midline cranial vault as well as the zygomatic bone and zygomatic process of the maxilla, which contribute to the zygomatic arch. Through gene association mapping of a large heterogeneous population of Diversity Outbred (DO) mice, we identified a quantitative trait locus on chromosome 17 driving the antagonistic contribution of these two zygomatic arch bones to total zygomatic arch length. Candidate genes in this region were identified and real-time PCR of the maxillary processes of DO founder strain embryos indicated differences in the RNA expression levels for two of the candidate genes, Camkmt and Six2. A genomic region underlying negative pleiotropy of two zygomatic arch bones was identified, which provides a mechanism for antagonism in component bone lengths while constraining overall zygomatic arch length. This type of mechanism may have led to variation in the contribution of individual bones to the zygomatic arch noted across mammals. Given that similar genetic and developmental mechanisms may underlie negative correlations in other parts of the skull, these results provide an important step toward understanding the developmental basis of evolutionary variation and constraint in skull morphology.

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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 %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 11%
Student > Master 2 11%
Other 1 6%
Student > Bachelor 1 6%
Student > Ph. D. Student 1 6%
Other 3 17%
Unknown 8 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Agricultural and Biological Sciences 2 11%
Medicine and Dentistry 2 11%
Immunology and Microbiology 1 6%
Unknown 9 50%
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 28 June 2018.
All research outputs
#14,376,243
of 23,023,224 outputs
Outputs from EvoDevo
#242
of 320 outputs
Outputs of similar age
#240,567
of 440,722 outputs
Outputs of similar age from EvoDevo
#4
of 6 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 320 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 440,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.