Evidence map›Paper›PMID 26123673›Full record

ArticleBMC genetics2015

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

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

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 132 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Rekha SharmaCore lab (Network Project Unit), National Bureau of Animal Genetic Resources, G T Road, Karnal, 132001, Haryana, India. rekvik@gmail.com.
Amit KishoreCore lab (Network Project Unit), National Bureau of Animal Genetic Resources, G T Road, Karnal, 132001, Haryana, India. amitkishore.bio@gmail.com.
Manishi MukeshCore lab (Network Project Unit), National Bureau of Animal Genetic Resources, G T Road, Karnal, 132001, Haryana, India. mmukesh_26@hotmail.com.
Sonika AhlawatCore lab (Network Project Unit), National Bureau of Animal Genetic Resources, G T Road, Karnal, 132001, Haryana, India. sonika.ahlawat@gmail.com.
Avishek MaitraCore lab (Network Project Unit), National Bureau of Animal Genetic Resources, G T Road, Karnal, 132001, Haryana, India. maitra.avishek@gmail.com.
Ashwni Kumar PandeyCore lab (Network Project Unit), National Bureau of Animal Genetic Resources, G T Road, Karnal, 132001, Haryana, India. ashwni.pandey@gmail.com.
Madhu Sudan TantiaCore lab (Network Project Unit), National Bureau of Animal Genetic Resources, G T Road, Karnal, 132001, Haryana, India. tantiams@gmail.com.
Core Laboratories (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndian 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.

resultsThe 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.

conclusionsNuclear 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.

Indexed as

Genetic MarkersGenetics, PopulationGenetic VariationAnimalsCattleCluster AnalysisDNA, MitochondrialGene FrequencyGeographyHaplotypesIndiaMicrosatellite RepeatsPolymorphism, GeneticDNA, MitochondrialGenetic Markers

Identifiers

PMID26123673
PMCPMC4485874
OpenAlexW1551590654

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.