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Transcriptome analysis reveals novel patterning and pigmentation genes underlying Heliconius butterfly wing pattern variation

Overview of attention for article published in BMC Genomics, January 2012
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Title
Transcriptome analysis reveals novel patterning and pigmentation genes underlying Heliconius butterfly wing pattern variation
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-288
Pubmed ID
Authors

Heather M Hines, Riccardo Papa, Mayte Ruiz, Alexie Papanicolaou, Charles Wang, H Nijhout, W McMillan, Robert D Reed

Abstract

Heliconius butterfly wing pattern diversity offers a unique opportunity to investigate how natural genetic variation can drive the evolution of complex adaptive phenotypes. Positional cloning and candidate gene studies have identified a handful of regulatory and pigmentation genes implicated in Heliconius wing pattern variation, but little is known about the greater developmental networks within which these genes interact to pattern a wing. Here we took a large-scale transcriptomic approach to identify the network of genes involved in Heliconius wing pattern development and variation. This included applying over 140 transcriptome microarrays to assay gene expression in dissected wing pattern elements across a range of developmental stages and wing pattern morphs of Heliconius erato. We identified a number of putative early prepattern genes with color-pattern related expression domains. We also identified 51 genes differentially expressed in association with natural color pattern variation. Of these, the previously identified color pattern "switch gene" optix was recovered as the first transcript to show color-specific differential expression. Most differentially expressed genes were transcribed late in pupal development and have roles in cuticle formation or pigment synthesis. These include previously undescribed transporter genes associated with ommochrome pigmentation. Furthermore, we observed upregulation of melanin-repressing genes such as ebony and Dat1 in non-melanic patterns. This study identifies many new genes implicated in butterfly wing pattern development and provides a glimpse into the number and types of genes affected by variation in genes that drive color pattern evolution.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
United Kingdom 1 <1%
Norway 1 <1%
Australia 1 <1%
Unknown 139 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 34%
Researcher 17 12%
Student > Master 14 10%
Student > Bachelor 14 10%
Professor > Associate Professor 11 7%
Other 27 18%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 103 70%
Biochemistry, Genetics and Molecular Biology 21 14%
Medicine and Dentistry 2 1%
Unspecified 1 <1%
Arts and Humanities 1 <1%
Other 2 1%
Unknown 17 12%

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 01 August 2012.
All research outputs
#13,849,940
of 17,358,590 outputs
Outputs from BMC Genomics
#7,048
of 9,281 outputs
Outputs of similar age
#98,780
of 133,928 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
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