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Integrative analysis of young genes, positively selected genes and lncRNAs in the development of Drosophila melanogaster

Overview of attention for article published in BMC Ecology and Evolution, December 2014
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Title
Integrative analysis of young genes, positively selected genes and lncRNAs in the development of Drosophila melanogaster
Published in
BMC Ecology and Evolution, December 2014
DOI 10.1186/s12862-014-0241-9
Pubmed ID
Authors

He-Qun Liu, Yan Li, David M Irwin, Ya-Ping Zhang, Dong-Dong Wu

Abstract

BackgroundYoung genes and genes under positive selection commonly contribute to adaptive phenotypic evolution. Early developmental stages are very important for establishing phenotypes, which might be helpful for studying the evolutionary patterns of these rapidly evolving genes.ResultsHere, we performed a weighted gene co-expression network analysis to identify modules of co-expressed genes at different stages of Drosophila melanogaster development. We found that young genes, including duplicated, orphan, and young lncRNA genes, are significantly enriched among modules associated with specific developmental stages. In addition, genes undergoing rapid amino acid sequence evolution driven by positive selection showed a similar proportion of essentiality with other genes, and enrichment in modules for specific developmental stages.ConclusionsOur integrative analysis revealed important roles for the origin of new genes and rapid amino acid sequence evolution in development that may account for specific phenotype evolution in Drosophila melanogaster.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Spain 1 3%
United States 1 3%
Russia 1 3%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 6 18%
Student > Master 6 18%
Professor 4 12%
Student > Bachelor 3 9%
Other 4 12%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 39%
Biochemistry, Genetics and Molecular Biology 9 27%
Medicine and Dentistry 3 9%
Environmental Science 2 6%
Arts and Humanities 1 3%
Other 2 6%
Unknown 3 9%
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 March 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#273,448
of 368,033 outputs
Outputs of similar age from BMC Ecology and Evolution
#61
of 72 outputs
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