Evidence map›Paper›PMID 42164917›Full record

ArticleArchives animal breeding2024

Microsatellite-based bottleneck analysis and migration events among four native Turkish goat breeds.

Eymen Demir

Abstract read
In one paragraph

Article in Archives animal breeding, 2024. 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. Candidate genes related to growth and milk production in three Anatolian goats revealed by GWAS.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
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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

1 author.

Eymen DemirDepartment of Animal Science, Faculty of Agriculture, Akdeniz University, Antalya, 07058, Türkiye.ORCID https://orcid.org/0000-0003-4507-7426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular data analyzed by accurate statistical approaches not only have the potential to investigate demographic events faced in the past, e.g., migration, but they also offer significant hints such as bottleneck effects to take suitable measures for sustainable breeding in farm animals. In this study, the genetic bottleneck and migration events among four native Turkish goat populations, i.e., Hair, Honamlı, Kabakulak, and Norduz, were assessed using 367 multi-allelic data belonging to 28 microsatellite loci. The null hypothesis was not rejected for the Wilcoxon sign rank test in the infinite allele model, two-phase model, and stepwise mutation model, while a normal L-shaped distribution of allele frequencies was observed in terms of mode-shift indicators in four native Turkish goat populations. Both the Wilcoxon sign rank test and the mode-shift indicator demonstrated that Anatolian goat populations have had a lack of recent genetic bottlenecks and have maintained their effective population sizes over the generations. Moreover, the 95 % confidence interval confirmed that the effective population sizes of Hair, Honamlı, and Kabakulak may reach infinity, while the highest effective population size for Norduz was estimated at 794.5, when the lowest allele frequency was considered to be 0.01. Up to four migration events revealed a significant migration from Norduz to Hair and Kabakulak populations. In contrast, no migration from other populations to Norduz was observed, most probably due to its geographic isolation. The bottleneck results may serve as a guide for future management practices, whereas further studies, especially on a whole-genome basis, are needed to confirm migration events among Anatolian goat breeds.

Identifiers

PMID42164917
PMCPMC13186273

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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.