Evidence map›Paper›PMID 42695107›Full record

ArticleFrontiers in genetics2026

Genome-wide cis-expression Quantitative Trait Loci (eQTL) and transcriptomic signals reveal distinct molecular regulation across correlated feed efficiency traits.

Steffimol Rose Chacko Kaitholil, Mark H Mooney, Omar Cristobal-Carballo, Sevda Hosseinzadeh, Faisal I Rezwan, Aurélie Aubry, Masoud Shirali

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Steffimol Rose Chacko KaitholilInstitute for Global Food Security, School of Biological Sciences, Queen's University, Belfast, United Kingdom.
Mark H MooneyInstitute for Global Food Security, School of Biological Sciences, Queen's University, Belfast, United Kingdom.
Omar Cristobal-CarballoSustainable Livestock Systems Branch, Agri-Food and Biosciences Institute (AFBI), Hillsborough, United Kingdom.
Sevda HosseinzadehDepartment of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Faisal I RezwanDepartment of Computer Science, Aberystwyth University, Aberystwyth, Wales, United Kingdom.
Aurélie AubrySustainable Livestock Systems Branch, Agri-Food and Biosciences Institute (AFBI), Hillsborough, United Kingdom.
Masoud ShiraliInstitute for Global Food Security, School of Biological Sciences, Queen's University, Belfast, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Feed efficiency (FE) is a complex trait which determines livestock production profitability, yet the molecular mechanisms behind it remain unclear. This study investigated the blood transcriptomic profile of lambs, alongside genotype data with the aim to uncover the genetic basis of FE traits such as absolute dry matter intake (DMI Materials and Methods: Bulk RNA-Seq and genotype data were analysed using three complementary approaches: differential gene expression (DGE) analysis, weighted gene co-expression network analysis (WGCNA), and cis-expression Quantitative Trait Loci (cis-eQTL) mapping. These methods were used independently to identify genes and regulatory networks associated with FE traits and to investigate evidence supporting multi-trait candidate gene selection. Results: DGE analysis revealed 2, 24, 85 and 4 differentially expressed genes for DMI Discussion: The integration of DGE, WGCNA, and cis-eQTL analyses identified key genes and regulatory mechanisms associated with variation in FE traits. These results highlight that integrated multi-trait candidate gene identification approaches can reveal key genes that lower feed intake while maintaining animal growth, supporting breeding strategies aimed at improving efficiency and long-term economic sustainability in sheep.

Indexed as

average daily gain (ADG)dry matter intake (DMI)feed efficiency (FE)lambsmulti-trait analysesresidual feed intake (RFI)sustainability

Identifiers

PMID42695107
PMCPMC13541292

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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.