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Genetic diversity and bottleneck studies in the Marwari horse breed

Overview of attention for article published in Journal of Genetics, December 2005
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Title
Genetic diversity and bottleneck studies in the Marwari horse breed
Published in
Journal of Genetics, December 2005
DOI 10.1007/bf02715799
Pubmed ID
Authors

A. K. Gupta, M. Chauhan, S. N. Tandon, Sonia

Abstract

Genetic diversity within the Marwari breed of horses was evaluated using 26 different microsatellite pairs with 48 DNA samples from unrelated horses. This molecular characterisation was undertaken to evaluate the problem of genetic bottlenecks also, if any, in this breed. The estimated mean (-/+ s.e.) allelic diversity was 5.9 (-/+ 2.24), with a total of 133 alleles. A high level of genetic variability within this breed was observed in terms of high values of mean (-/+ s.e.) effective number of alleles (3.3 -/+ 1.27), observed heterozygosity (0.5306 -/+ 0.22), expected Levene's heterozygosity (0.6612 -/+ 0.15), expected Nei's heterozygosity (0.6535 -/+ 0.14), and polymorphism information content (0.6120 -/+ 0.03). Low values of Wright's fixation index, F(IS) (0.2433 -/+ 0.05) indicated low levels of inbreeding. This basic study indicated the existence of substantial genetic diversity in the Marwari horse population. No significant genotypic linkage disequilibrium was detected across the population, suggesting no evidence of linkage between loci. A normal 'L' shaped distribution of mode-shift test, non-significant heterozygote excess on the basis of different models, as revealed from Sign, Standardized differences and Wilcoxon sign rank tests as well as non-significant M ratio value suggested that there was no recent bottleneck in the existing Marwari breed population, which is important information for equine breeders. This study also revealed that the Marwari breed can be differentiated from some other exotic breeds of horses on the basis of three microsatellite primers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Iceland 1 3%
Slovakia 1 3%
Switzerland 1 3%
Unknown 26 87%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 7 23%
Researcher 4 13%
Student > Master 4 13%
Professor 3 10%
Student > Postgraduate 3 10%
Other 7 23%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 70%
Biochemistry, Genetics and Molecular Biology 3 10%
Business, Management and Accounting 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 February 2023.
All research outputs
#7,708,493
of 23,445,423 outputs
Outputs from Journal of Genetics
#95
of 682 outputs
Outputs of similar age
#38,740
of 148,842 outputs
Outputs of similar age from Journal of Genetics
#1
of 2 outputs
Altmetric has tracked 23,445,423 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 682 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 62% of its peers.
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