Evidence map›Paper›PMID 37628674›Full record

ArticleGenes2023

Genome-Wide Single-Nucleotide Polymorphism-Based Genomic Diversity and Runs of Homozygosity for Selection Signatures in Equine Breeds.

Anuradha Bhardwaj, Gitanjali Tandon, Yash Pal, Nitesh Kumar Sharma, Varij Nayan, Sonali Soni, Mir Asif Iquebal, Sarika Jaiswal, Ram Avatar Legha, Thirumala Rao Talluri and 4 more

Abstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Comparative Study on the Sperm Proteomes of Horses and Donkeys.Animals : an open access journal from MDPI · 2024
    Article
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

14 authors.

Anuradha BhardwajICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India.ORCID 0000-0003-1148-3346
Gitanjali TandonDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India.
Yash PalICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India.ORCID 0000-0001-5230-6990
Nitesh Kumar SharmaDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India.ORCID 0009-0000-1123-5364
Varij NayanICAR-Central Institute for Research on Buffaloes, Hisar 125001, India.
Sonali SoniICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India.
Mir Asif IquebalDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India.ORCID 0000-0003-3787-5997
Sarika JaiswalDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India.ORCID 0000-0002-9948-4994
Ram Avatar LeghaICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India.
Thirumala Rao TalluriICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India.ORCID 0000-0002-4012-3545
Tarun Kumar BhattacharyaICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India.ORCID 0000-0003-4502-1852
Dinesh KumarDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India.ORCID 0000-0001-5466-0686
Anil RaiDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India.ORCID 0000-0003-4454-6462
B N TripathiICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The horse, one of the most domesticated animals, has been used for several purposes, like transportation, hunting, in sport, or for agriculture-related works. Kathiawari, Marwari, Manipuri, Zanskari, Bhutia, Spiti, and Thoroughbred are the main breeds of horses, particularly due to their agroclimatic adaptation and role in any kind of strong physical activity, and these characteristics are majorly governed by genetic factors. The genetic diversity and phylogenetic relationship of these Indian equine breeds using microsatellite markers have been reported, but further studies exploring the SNP diversity and runs of homozygosity revealing the selection signature of breeds are still warranted. In our study, the identification of genes that play a vital role in muscle development is performed through SNP detection via the whole-genome sequencing approach. A total of 96 samples, categorized under seven breeds, and 620,721 SNPs were considered to ascertain the ROH patterns amongst all the seven breeds. Over 5444 ROH islands were mined, and the maximum number of ROHs was found to be present in Zanskari, while Thoroughbred was confined to the lowest number of ROHs. Gene enrichment of these ROH islands produced 6757 functional genes, with AGPAT1, CLEC4, and CFAP20 as important gene families. However, QTL annotation revealed that the maximum QTLs were associated with Wither's height trait ontology that falls under the growth trait in all seven breeds. An Equine SNP marker database (EqSNPDb) was developed to catalogue ROHs for all these equine breeds for the flexible and easy chromosome-wise retrieval of ROH along with the genotype details of all the SNPs. Such a study can reveal breed divergence in different climatic and ecological conditions.

Indexed as

GenomicsPolymorphism, Single NucleotideAnimalsGenotypeHomozygoteHorsesPhylogenyEquus caballusQTLruns of homozygosity (ROH)SNP

Identifiers

PMID37628674
PMCPMC10454598

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.