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Gene expression in the brain of a migratory songbird during breeding and migration

Overview of attention for article published in Movement Ecology, 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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Gene expression in the brain of a migratory songbird during breeding and migration
Published in
Movement Ecology, February 2016
DOI 10.1186/s40462-016-0069-6
Pubmed ID
Authors

John Boss, Miriam Liedvogel, Max Lundberg, Peter Olsson, Nils Reischke, Sara Naurin, Susanne Åkesson, Dennis Hasselquist, Anthony Wright, Mats Grahn, Staffan Bensch

Abstract

We still have limited knowledge about the underlying genetic mechanisms that enable migrating species of birds to navigate the globe. Here we make an attempt to get insight into the genetic architecture controlling this complex innate behaviour. We contrast the gene expression profiles of two closely related songbird subspecies with divergent migratory phenotypes. In addition to comparing differences in migratory strategy we include a temporal component and contrast patterns between breeding adults and autumn migrating juvenile birds of both subspecies. The two willow warbler subspecies, Phylloscopus trochilus trochilus and P. t. acredula, are remarkably similar both in phenotype and genotype and have a narrow contact zone in central Scandinavia. Here we used a microarray gene chip representing 23,136 expressed sequence tags (ESTs) from the zebra finch Taeniopygia guttata to identify mRNA level differences in willow warbler brain tissue in relation to subspecies and season. Out of the 22,109 EST probe sets that remained after filtering poorly binding probes, we found 11,898 (51.8 %) probe sets that could be reliably and uniquely matched to a total of 6,758 orthologous zebra finch genes. The two subspecies showed very similar levels of gene expression with less than 0.1 % of the probe sets being significantly differentially expressed. In contrast, 3,045 (13.8 %) probe sets were found to be differently regulated between samples collected from breeding adults and autumn migrating juvenile birds. The genes found to be differentially expressed between seasons appeared to be enriched for functional roles in neuronal firing and neuronal synapse formation. Our results show that only few genes are differentially expressed between the subspecies. This suggests that the different migration strategies of the subspecies might be governed by few genes, or that the expression patterns of those genes are time-structured or tissue-specific in ways, which our approach fails to uncover. Our findings will be useful in the planning of new experiments designed to unravel the genes involved in the migratory program of birds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
New Zealand 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 26%
Student > Ph. D. Student 14 21%
Researcher 10 15%
Student > Bachelor 6 9%
Student > Doctoral Student 3 4%
Other 6 9%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 62%
Biochemistry, Genetics and Molecular Biology 7 10%
Environmental Science 6 9%
Unspecified 1 1%
Unknown 12 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 08 April 2016.
All research outputs
#2,183,736
of 23,577,654 outputs
Outputs from Movement Ecology
#97
of 330 outputs
Outputs of similar age
#41,287
of 406,382 outputs
Outputs of similar age from Movement Ecology
#3
of 7 outputs
Altmetric has tracked 23,577,654 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 330 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one has gotten more attention than average, scoring higher than 70% 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 406,382 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 89% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.