Evidence map›Paper›PMID 42446736›Full record

ArticleMolecular genetics and genomics : MGG2026

Genome sequencing reveals genes under selection for olfactory transduction in highland sheep.

Anees Ahmad, Muhammad Ibrahim, Muhammad Yaqoob, Muhammad Fahim, Sher Hayat Khan, Israr Ud Din, Majid Khan, Sohail Ahmad

Abstract read
In one paragraph

Article in Molecular genetics and genomics : MGG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Anees AhmadInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, Pakistan.
Muhammad IbrahimInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, Pakistan. ibrahimfaqir@aup.edu.pk.ORCID https://orcid.org/0000-0002-7767-1748
Muhammad YaqoobBiocomputation Research Group, Centre for Computer Science and Informatics Research, University of Hertfordshire, Hatfield, UK.
Muhammad FahimCentre for Omic Sciences, Islamia College Peshawar, Peshawar, Pakistan.
Sher Hayat KhanInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, Pakistan.
Israr Ud DinInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, Pakistan.
Majid KhanInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, Pakistan.
Sohail AhmadInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, Pakistan.

Funding

Higher Education Commission, Pakistan 6306/KPK/NRPU//R&D/HEC/2016Higher Education Commission, Pakistan Ref: 4-1/PDFP/HEC/2025(B-4)/33071/001
6 · The paper itself

Abstract

Kutta is an indigenous sheep breed found in the mountainous region of Swat, Pakistan. In this study we evaluated the performance of Kutta sheep within their natural habitat and identified genomic regions associated with environmental adaptability using whole genome sequencing. Flocks are mostly managed under a transhumant production system with year-round breeding. Kutta sheep demonstrated higher lambing efficiency under the available resources. Although the body size of rams and ewes was comparable, significant variation was observed among different age groups. Whole genome sequencing identified 15.46 million variants relative to Oar_v1.0 reference genome assembly. Exonic variants accounted for 2.3% of all protein coding gene variants and affected 6347 genes. These genes were primarily enriched in pathways related to G protein-coupled receptor signaling (700 genes) and olfactory transduction (500 genes). Selective sweep analysis detected 1930 genes within the regions of high homozygosity across the genome. Based on homozygosity patterns, biological relevance, and colocalization with known QTLs, 11 candidate genes were identified as putative selective signature. Five of these genes (OR4C6L, OR1086L, OR5AK2L, QR5T2L, OR9Q2) belonged to the olfactory receptor family. These olfactory receptor genes may contribute to high-altitude adaptation in Kutta sheep by enhancing their ability to locate food resources, recognize mates, and detect predators in challenging mountainous environments. Further screening of the OR4C6L sequence across 12 indigenous sheep breeds revealed marked differences between highland and lowland populations. Collectively, these findings provide comprehensive genomic insights into high-altitude adaptation of sheep and highlight the potential role of olfactory perception in survival and environmental fitness.

Indexed as

Receptors, OdorantSelection, GeneticSmellAdaptation, PhysiologicalAltitudeAnimalsFemalePolymorphism, Single NucleotideQuantitative Trait LociSheepWhole Genome SequencingReceptors, OdorantOlfactory receptorsReproductive performanceSelection signatureSense of smellSheep adaptationWhole genome sequencing

Identifiers

PMID42446736
PMCPMC13369732

What OpenQuestion 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 OpenQuestion graph.