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Record W4414831301 · doi:10.1093/jas/skaf300.156

197 Selection signatures on the X chromosome in a prolific meat sheep breed.

2025· article· en· W4414831301 on OpenAlexaff
Isis C Hermisdorff, D.P. Berry, Marcos Eli Buzanskas, Danísio Prado Munari, Flávio S. Schenkel

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHaplotypeSingle-nucleotide polymorphismImputation (statistics)Selection (genetic algorithm)Minor allele frequencyAllele frequencyRuns of HomozygositySNP

Abstract

fetched live from OpenAlex

Abstract The X chromosome (ChrX) plays a key role in natural and artificial selection and animal evolution. Both natural and artificial selection leave distinct genomic footprints, known as selection signatures (SS), which can be identified on ChrX. Belclare sheep, a composite breed, have been subjected to strong selection pressure for high prolificacy and are also used for meat production, making them valuable in efficient and sustainable production systems. Our study aimed at identifying SS regions on the ChrX and conduct functional analysis related to reproduction traits in the Belclare sheep in contrast to non-prolific meat breeds. Ewes of the different sheep breeds were genotyped using the Illumina OvineSNP50. Only SNPs on the ChrX with defined positions based on the sheep (Ovis aries) genome assembly ARS-UI_Ramb_v2.0 were included. SNP filtering and quality control were conducted across all breeds, removing SNPs and samples with call rates below 90% and SNPs with minor allele frequency < 1%. After quality control, 863 SNPs were analyzed. Imputation of missing genotypes and haplotype phasing were performed using BEAGLE. Prior to SS detection, breeds were classified into two groups: prolific (Belclare, n = 2,441) and non-prolific (Beltex, n = 146; Charollais, n = 1,490; Suffolk, n = 1,237; and Texel, n = 3,378). The SS detection was performed within the prolific group using the integrated Haplotype Score (iHS) and between groups (prolific vs. non-prolific) using Cross-Population Extended Haplotype Homozygosity (XP-EHH) and the Ratio of Site-specific Extended Haplotype Homozygosity (Rsb). The SS detection was performed in 150 kb non-overlapping windows containing at least two SNPs per window using the REHH package in R. The top 10% windows with the highest scores were considered regions under positive selection in Belclare. Gene and QTL annotation was performed using the GALLO R package and functional enrichment (FDR < 0.05) was performed in gprofiler2 package in R. A total of 19 genomic regions identified by iHS co-localized with 18 candidate genes and two milk QTLs. Fifteen regions detected by XP-EHH and Rsb co-localized with 13 candidate genes and one reproduction QTL. No significant functional enrichment was observed. The milk QTLs were associated with protein and milk yield, while the reproduction QTL was associated with prolificacy. This suggests differences in selection signatures on ChrX between Belclare and the non-prolific breeds, which relate to the Belclare breed’s reproductive and maternal ability. Among the annotated genes, AKAP4, detected by iHS, is linked to flagellated sperm motility, suggesting its role as an X-linked gene influencing ram fertility. HTATSF1, detected by XP-EHH and Rsb, is reported to be linked with estrogen receptors involved in precocious puberty. The detection of SS highlights that selection pressure has left footprints on ChrX in the Belclare, particularly in regions associated with reproduction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.259
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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