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Gene evolution and gene expression after whole genome duplication in fish: the PhyloFish database

Overview of attention for article published in BMC Genomics, May 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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
Gene evolution and gene expression after whole genome duplication in fish: the PhyloFish database
Published in
BMC Genomics, May 2016
DOI 10.1186/s12864-016-2709-z
Pubmed ID
Authors

Jeremy Pasquier, Cédric Cabau, Thaovi Nguyen, Elodie Jouanno, Dany Severac, Ingo Braasch, Laurent Journot, Pierre Pontarotti, Christophe Klopp, John H. Postlethwait, Yann Guiguen, Julien Bobe

Abstract

With more than 30,000 species, ray-finned fish represent approximately half of vertebrates. The evolution of ray-finned fish was impacted by several whole genome duplication (WGD) events including a teleost-specific WGD event (TGD) that occurred at the root of the teleost lineage about 350 million years ago (Mya) and more recent WGD events in salmonids, carps, suckers and others. In plants and animals, WGD events are associated with adaptive radiations and evolutionary innovations. WGD-spurred innovation may be especially relevant in the case of teleost fish, which colonized a wide diversity of habitats on earth, including many extreme environments. Fish biodiversity, the use of fish models for human medicine and ecological studies, and the importance of fish in human nutrition, fuel an important need for the characterization of gene expression repertoires and corresponding evolutionary histories of ray-finned fish genes. To this aim, we performed transcriptome analyses and developed the PhyloFish database to provide (i) de novo assembled gene repertoires in 23 different ray-finned fish species including two holosteans (i.e. a group that diverged from teleosts before TGD) and 21 teleosts (including six salmonids), and (ii) gene expression levels in ten different tissues and organs (and embryos for many) in the same species. This resource was generated using a common deep RNA sequencing protocol to obtain the most exhaustive gene repertoire possible in each species that allows between-species comparisons to study the evolution of gene expression in different lineages. The PhyloFish database described here can be accessed and searched using RNAbrowse, a simple and efficient solution to give access to RNA-seq de novo assembled transcripts.

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The data shown below were collected from the profiles of 19 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 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 320 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 20%
Researcher 59 18%
Student > Master 43 13%
Student > Bachelor 34 11%
Student > Doctoral Student 18 6%
Other 35 11%
Unknown 68 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 34%
Biochemistry, Genetics and Molecular Biology 87 27%
Environmental Science 12 4%
Medicine and Dentistry 5 2%
Neuroscience 5 2%
Other 17 5%
Unknown 85 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 20 November 2017.
All research outputs
#3,171,408
of 24,542,484 outputs
Outputs from BMC Genomics
#1,102
of 11,006 outputs
Outputs of similar age
#53,510
of 340,388 outputs
Outputs of similar age from BMC Genomics
#29
of 196 outputs
Altmetric has tracked 24,542,484 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,006 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 340,388 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 84% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.