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Omics · study · 2026

Multi-Omics profiling reveals immunometabolic adaptations underlying disease resilience in indigenous Lueyang Silky Fowl compared to White Leghorns

Listed in NCBI GEO

Sustainable avian production demands genetic strategies beyond vaccines to enhance disease resilience, particularly in indigenous breeds like Lueyang Silky Fowl (LSF), which show superior resistance compared to commercial White Leghorn chickens (WLC) but lack molecular characterization.

Description

We hypothesized LSF breast muscle harbors integrated immune–metabolic adaptations absent in WLC, reflecting evolutionary divergences and physiological ecology.

We performed RNA-seq, LC-MS/MS proteomics and untargeted metabolomics on sex- and age-matched LSF and WLC breast muscle (n=3/group). Differentially expressed genes (DEGs), proteins (DAPs), and metabolites (DAMs) were identified and integrated via pathway enrichment and network analyses. LSF muscle showed 2,577 DEGs (949 up, 1,628 down), 262 DAPs (48 up, 214 down), and 197 DAMs (52 up, 145 down).

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Concordant enrichments spanned mitochondrial oxidative phosphorylation; amino-acid metabolism (arginine/proline; alanine/aspartate/glutamate); MAPK and calcium signaling; and antioxidant pathways (notably glutathione). Integrated networks revealed 66 shared KEGG pathways, including convergent hubs in calcium/MAPK signaling, apelin, and focal adhesion, nominating candidate markers like NOS1, GOT1, PRKCA, MAP2K6, and ATP6V1E1.

These bulk-tissue signatures likely integrate myocyte-intrinsic, stromal, and resident immune-cell programs; thus, offering testable signatures for avian immunometabolic resilience. We propose validation through single-cell/spatial transcriptomics, immunohistochemistry, targeted LC-MS and metabolomics, and pathogen challenge assays. This study advances ornithological understanding by revealing breed-specific physiological adaptations in poultry, positioning muscle as proxy for systemic resilience, and providing biomarkers for genomic selection to conserve and enhance genetic diversity in resilient avian lines under intensive farming pressure.

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From keywords
Life Sciences
Inferred from text
Disease 75% · Mass spectrometry 65% · RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE31675114 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:mass-spectrometryenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:9031source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title