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Genome-wide introgression among distantly related Heliconius butterfly species

Overview of attention for article published in Genome Biology, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Genome-wide introgression among distantly related Heliconius butterfly species
Published in
Genome Biology, February 2016
DOI 10.1186/s13059-016-0889-0
Pubmed ID
Authors

Wei Zhang, Kanchon K. Dasmahapatra, James Mallet, Gilson R. P. Moreira, Marcus R. Kronforst

Abstract

Although hybridization is thought to be relatively rare in animals, the raw genetic material introduced via introgression may play an important role in fueling adaptation and adaptive radiation. The butterfly genus Heliconius is an excellent system to study hybridization and introgression but most studies have focused on closely related species such as H. cydno and H. melpomene. Here we characterize genome-wide patterns of introgression between H. besckei, the only species with a red and yellow banded 'postman' wing pattern in the tiger-striped silvaniform clade, and co-mimetic H. melpomene nanna. We find a pronounced signature of putative introgression from H. melpomene into H. besckei in the genomic region upstream of the gene optix, known to control red wing patterning, suggesting adaptive introgression of wing pattern mimicry between these two distantly related species. At least 39 additional genomic regions show signals of introgression as strong or stronger than this mimicry locus. Gene flow has been on-going, with evidence of gene exchange at multiple time points, and bidirectional, moving from the melpomene to the silvaniform clade and vice versa. The history of gene exchange has also been complex, with contributions from multiple silvaniform species in addition to H. besckei. We also detect a signature of ancient introgression of the entire Z chromosome between the silvaniform and melpomene/cydno clades. Our study provides a genome-wide portrait of introgression between distantly related butterfly species. We further propose a comprehensive and efficient workflow for gene flow identification in genomic data sets.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Colombia 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 190 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 27%
Student > Master 32 16%
Researcher 29 15%
Student > Bachelor 19 10%
Student > Doctoral Student 13 7%
Other 22 11%
Unknown 29 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 101 52%
Biochemistry, Genetics and Molecular Biology 40 20%
Computer Science 3 2%
Medicine and Dentistry 3 2%
Immunology and Microbiology 2 1%
Other 12 6%
Unknown 35 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 05 December 2017.
All research outputs
#2,511,066
of 25,706,302 outputs
Outputs from Genome Biology
#2,019
of 4,504 outputs
Outputs of similar age
#38,285
of 312,685 outputs
Outputs of similar age from Genome Biology
#37
of 63 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 55% 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 312,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.