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Genetic diversity and relationship of Indian cattle inferred from microsatellite and mitochondrial DNA markers

Overview of attention for article published in BMC Genomic Data, June 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
Genetic diversity and relationship of Indian cattle inferred from microsatellite and mitochondrial DNA markers
Published in
BMC Genomic Data, June 2015
DOI 10.1186/s12863-015-0221-0
Pubmed ID
Authors

Rekha Sharma, Amit Kishore, Manishi Mukesh, Sonika Ahlawat, Avishek Maitra, Ashwni Kumar Pandey, Madhu Sudan Tantia

Abstract

Indian agriculture is an economic symbiosis of crop and livestock production with cattle as the foundation. Sadly, the population of indigenous cattle (Bos indicus) is declining (8.94 % in last decade) and needs immediate scientific management. Genetic characterization is the first step in the development of proper management strategies for preserving genetic diversity and preventing undesirable loss of alleles. Thus, in this study we investigated genetic diversity and relationship among eleven Indian cattle breeds using 21 microsatellite markers and mitochondrial D loop sequence. The analysis of autosomal DNA was performed on 508 cattle which exhibited sufficient genetic diversity across all the breeds. Estimates of mean allele number and observed heterozygosity across all loci and population were 8.784 ± 0.25 and 0.653 ± 0.014, respectively. Differences among breeds accounted for 13.3 % of total genetic variability. Despite high genetic diversity, significant inbreeding was also observed within eight populations. Genetic distances and cluster analysis showed a close relationship between breeds according to proximity in geographic distribution. The genetic distance, STRUCTURE and Principal Coordinate Analysis concluded that the Southern Indian Ongole cattle are the most distinct among the investigated cattle populations. Sequencing of hypervariable mitochondrial DNA region on a subset of 170 cattle revealed sixty haplotypes with haplotypic diversity of 0.90240, nucleotide diversity of 0.02688 and average number of nucleotide differences as 6.07407. Two major star clusters for haplotypes indicated population expansion for Indian cattle. Nuclear and mitochondrial genomes show a similar pattern of genetic variability and genetic differentiation. Various analyses concluded that the Southern breed 'Ongole' was distinct from breeds of Northern/ Central India. Overall these results provide basic information about genetic diversity and structure of Indian cattle which should have implications for management and conservation of indicine cattle diversity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 80 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Researcher 12 15%
Student > Bachelor 11 14%
Student > Doctoral Student 8 10%
Student > Ph. D. Student 7 9%
Other 15 19%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 42%
Biochemistry, Genetics and Molecular Biology 12 15%
Veterinary Science and Veterinary Medicine 5 6%
Social Sciences 2 2%
Medicine and Dentistry 2 2%
Other 4 5%
Unknown 22 27%
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 30 September 2022.
All research outputs
#15,091,226
of 25,373,627 outputs
Outputs from BMC Genomic Data
#473
of 1,204 outputs
Outputs of similar age
#133,128
of 277,312 outputs
Outputs of similar age from BMC Genomic Data
#14
of 43 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 60% 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 277,312 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.