Evidence map›Paper›PMID 36553539›Full record

ReviewGenes2022

Unlocking Horse Y Chromosome Diversity.

Irene Cardinali, Andrea Giontella, Anna Tommasi, Maurizio Silvestrelli, Hovirag Lancioni

Abstract readReview
In one paragraph

Review in Genes, 2022. 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. Article
  4. Review
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

5 authors.

Irene CardinaliDepartment of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy.ORCID 0000-0003-0632-9993
Andrea GiontellaDepartment of Veterinary Medicine, University of Perugia, 06126 Perugia, Italy.ORCID 0000-0003-3615-0978
Anna TommasiDepartment of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-4285-398X
Maurizio SilvestrelliDepartment of Veterinary Medicine, University of Perugia, 06126 Perugia, Italy.
Hovirag LancioniDepartment of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy.ORCID 0000-0001-5514-1853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present equine genetic variation mirrors the deep influence of intensive breeding programs during the last 200 years. Here, we provide a comprehensive current state of knowledge on the trends and prospects on the variation in the equine male-specific region of the Y chromosome (MSY), which was assembled for the first time in 2018. In comparison with the other 12 mammalian species, horses are now the most represented, with 56 documented MSY genes. However, in contrast to the high variability in mitochondrial DNA observed in many horse breeds from different geographic areas, modern horse populations demonstrate extremely low genetic Y-chromosome diversity. The selective pressures employed by breeders using pedigree data (which are not always error-free) as a predictive tool represent the main cause of this lack of variation in the Y-chromosome. Nevertheless, the detailed phylogenies obtained by recent fine-scaled Y-chromosomal genotyping in many horse breeds worldwide have contributed to addressing the genealogical, forensic, and population questions leading to the reappraisal of the Y-chromosome as a powerful genetic marker to avoid the loss of biodiversity as a result of selective breeding practices, and to better understand the historical development of horse breeds.

Indexed as

Selective BreedingY ChromosomeAnimalsHorsesMaleMammalsPedigreePhylogenyPolymorphism, Single Nucleotidehorse genetic diversityhorse MSY phylogenyhorse Y-chromosome variationuniparental genetic markersworldwide horse breeds

Identifiers

PMID36553539
PMCPMC9777570

What OpenQuestion holds

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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 OpenQuestion graph.