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Gene regulatory evolution and the origin of macroevolutionary novelties: Insights from the neural crest

Overview of attention for article published in Genesis: The Journal of Genetics and Development, June 2013
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Article details
Title
Gene regulatory evolution and the origin of macroevolutionary novelties: Insights from the neural crest
Published in
Genesis: The Journal of Genetics and Development, June 2013
DOI 10.1002/dvg.22403
Pubmed ID
Authors
Abstract

The appearance of novel anatomic structures during evolution is driven by changes to the networks of transcription factors, signaling pathways, and downstream effector genes controlling development. The nature of the changes to these developmental gene regulatory networks (GRNs) is poorly understood. A striking test case is the evolution of the GRN controlling development of the neural crest (NC). NC cells emerge from the neural plate border (NPB) and contribute to multiple adult structures. While all chordates have a NPB, only in vertebrates do NPB cells express all the genes constituting the neural crest GRN (NC-GRN). Interestingly, invertebrate chordates express orthologs of NC-GRN components in other tissues, revealing that during vertebrate evolution new regulatory connections emerged between transcription factors primitively expressed in the NPB and genes primitively expressed in other tissues. Such interactions could have evolved by two mechanisms. First, transcription factors primitively expressed in the NPB may have evolved new DNA and/or cofactor binding properties (protein neofunctionalization). Alternately, cis-regulatory elements driving NPB expression may have evolved near genes primitively expressed in other tissues (cis-regulatory neofunctionalization). Here we discuss how gene duplication can, in principle, promote either form of neofunctionalization. We review recent published examples of interspecies gene-swap, or regulatory-element-swap, experiments that test both models. Such experiments have yielded little evidence to support the importance of protein neofunctionalization in the emergence of the NC-GRN, but do support the importance of novel cis-regulatory elements in this process. The NC-GRN is an excellent model for the study of gene regulatory and macroevolutionary innovation.

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The data shown below were compiled from readership statistics for 53 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 %
United States 3 6%
Chile 1 2%
Brazil 1 2%
Unknown 48 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 18 34%
Student > Bachelor 7 13%
Student > Ph. D. Student 7 13%
Other 4 8%
Student > Master 3 6%
Other 6 11%
Unknown 8 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 31 58%
Biochemistry, Genetics and Molecular Biology 9 17%
Mathematics 1 2%
Computer Science 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 9 17%
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 29 May 2026.
All research outputs
#24,752,513
of 34,359,530 outputs
Outputs from Genesis: The Journal of Genetics and Development
#679
of 913 outputs
Outputs of similar age
#173,358
of 243,127 outputs
Outputs of similar age from Genesis: The Journal of Genetics and Development
#7
of 10 outputs
Altmetric has tracked 34,359,530 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 913 research outputs from this source. They receive a mean Attention Score of 4.5. 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 243,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.