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Microsatellite markers for the notothenioid fish Lepidonotothen nudifrons and two congeneric species

Overview of attention for article published in BMC Research Notes, April 2016
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Title
Microsatellite markers for the notothenioid fish Lepidonotothen nudifrons and two congeneric species
Published in
BMC Research Notes, April 2016
DOI 10.1186/s13104-016-2039-x
Pubmed ID
Authors

Chiara Papetti, Lars Harms, Jutta Jürgens, Tina Sandersfeld, Nils Koschnick, Heidrun Sigrid Windisch, Rainer Knust, Hans-Otto Pörtner, Magnus Lucassen

Abstract

Loss of genetic variability due to environmental changes, limitation of gene flow between pools of individuals or putative selective pressure at specific markers, were previously documented for Antarctic notothenioid fish species. However, so far no studies were performed for the Gaudy notothen Lepidonotothen nudifrons. Starting from a species-specific spleen transcriptome library, we aimed at isolating polymorphic microsatellites (Type I; i.e. derived from coding sequences) suitable to quantify the genetic variability in this species, and additionally to assess the population genetic structure and demography in nototheniids. We selected 43,269 transcripts resulting from a MiSeq sequencer run, out of which we developed 19 primer pairs for sequences containing microsatellite repeats. Sixteen loci were successfully amplified in L. nudifrons. Eleven microsatellites were polymorphic and allele numbers per locus ranged from 2 to 17. In addition, we amplified loci identified from L. nudifrons in two other congeneric species (L. squamifrons and L. larseni). Thirteen loci were highly transferable to the two congeneric species. Differences in polymorphism among species were detected. Starting from a transcriptome of a non-model organism, we were able to identify promising polymorphic nuclear markers that are easily transferable to other closely related species. These markers can be a key instrument to monitor the genetic structure of the three Lepidonotothen species if genotyped in larger population samples. When compared with anonymous loci isolated in other notothenioids, i.e. Type II (isolated from genomic libraries), they offer the possibility to test how the effects of occurring environmental change influence the population genetic structure in each species and subsequently the composition of the entire ecosystem.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 23%
Student > Ph. D. Student 5 23%
Student > Master 4 18%
Researcher 3 14%
Other 2 9%
Other 2 9%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 41%
Biochemistry, Genetics and Molecular Biology 6 27%
Environmental Science 2 9%
Computer Science 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 2 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 27 April 2016.
All research outputs
#17,799,386
of 22,865,319 outputs
Outputs from BMC Research Notes
#2,831
of 4,267 outputs
Outputs of similar age
#204,928
of 298,924 outputs
Outputs of similar age from BMC Research Notes
#62
of 93 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,267 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 298,924 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.