↓ Skip to main content

Depauperate genetic variability detected in the American and European bison using genomic techniques

Overview of attention for article published in Biology Direct, December 2009
Altmetric Badge

Mentioned by

twitter
3 X users

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Depauperate genetic variability detected in the American and European bison using genomic techniques
Published in
Biology Direct, December 2009
DOI 10.1186/1745-6150-4-48
Pubmed ID
Authors

Cino Pertoldi, Małgorzata Tokarska, Jan M Wójcik, Ditte Demontis, Volker Loeschcke, Vivi R Gregersen, David Coltman, Gregory A Wilson, Ettore Randi, Michael M Hansen, Christian Bendixen

Abstract

A total of 929 polymorphic SNPs in EB (out of 54, 000 SNPs screened using a BovineSNP50 Illumina Genotyping BeadChip), and 1, 524 and 1, 403 polymorphic SNPs in WB and PB, respectively, were analysed. EB, WB and PB have all undergone recent drastic reductions in population size. Accordingly, they exhibited extremely depauperate genomes, deviations from genetic equilibrium and a genome organization consisting of a mosaic of haplotype blocks: regions with low haplotype diversity and high levels of linkage disequilibrium. No evidence for positive or stabilizing selection was found in EB, WB and PB, likely reflecting drift overwhelming selection. We suggest that utilization of genome-wide screening technologies, followed by utilization of less expensive techniques (e.g. VeraCode and Fluidigm EP1), holds large potential for genetic monitoring of populations. Additionally, these techniques will allow radical improvements of breeding practices in captive or managed populations, otherwise hampered by the limited availability of polymorphic markers. This result in improved possibilities for 1) estimating genetic relationships among individuals and 2) designing breeding strategies which attempt to preserve or reduce polymorphism in ecologically relevant genes and/or entire blocks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Italy 1 2%
Romania 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 31%
Student > Ph. D. Student 10 16%
Student > Master 6 10%
Other 5 8%
Professor 4 7%
Other 6 10%
Unknown 11 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 49%
Biochemistry, Genetics and Molecular Biology 7 11%
Environmental Science 4 7%
Physics and Astronomy 2 3%
Earth and Planetary Sciences 2 3%
Other 4 7%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 January 2015.
All research outputs
#15,517,992
of 25,374,647 outputs
Outputs from Biology Direct
#338
of 537 outputs
Outputs of similar age
#143,446
of 176,135 outputs
Outputs of similar age from Biology Direct
#8
of 9 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 36th percentile – i.e., 36% 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 176,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.