WEIGHTED GENE CO-EXPRESSION NETWORK ANALYSIS IDENTIFIES BIOLOGICAL PATHWAYS AND BIOMARKER GENES ASSOCIATED WITH CHICKENS' ADAPTATION TO BOTH LOW AND HIGH ALTITUDES

Authors

  • Pshtiwan S.A. Bebane Department of Medical Laboratory Science, College of Science, Charmo University, Iraq.
  • Paiman Yousif Department of Animal Production, College of Agricultural Engineering Sciences, University of Duhok, Duhok City, Iraq
  • Sarbast I. Mustafa Department of Animal Production, College of Agricultural Engineering Sciences, University of Duhok, Duhok City, Iraq
  • Sami mamand Sami Mamand, Postdoctoral Fellow, University of Toronto, Toronto, Canada

DOI:

https://doi.org/10.25271/sjuoz.2025.13.1.1448

Keywords:

Poultry, Co-expression network, Molecular pathway, Altitude adaptation, Hypoxia

Abstract

The main aim of the study was to identify modules, hub genes, and possible pathways linked with hypoxia adaptation in six types of tissues and organs (heart, kidney, liver, lung, muscle, and spleen) at altitudes ranging from 2,300 to 3,500 metersOn a transcription dataset from hypoxia-sensitive tissues, we performed weighted gene co-expression network analysis on 13,940 selected genes, and 10 transcriptional modules in total were detected (Turquoise 196 genes, Purple 27 genes, Blue 196, Brown 182, Yellow 108, Green 79 genes, Red 69 genes, Black 50 genes, Pink 44 genes, and Magenta 37 genes). Furthermore, we discovered that the majority of variable genes were screened by sub-setting 1000 genes; samples belonging to the same tissue clearly clustered together, and the expression in the liver and lung was more associated than in the heart and spleen. Functional enrichment analysis of all genes in 12 selected modules revealed that 9 KEGG pathways were considerably enriched, 13 Gene ontology terms were significantly enriched in the biological process and cellular component pathways, and 15 gene ontology terms were significantly enriched in the molecular function pathway. Through weighted gene co-expression network analysis, the results of this study expand our knowledge of the molecular pathway of catalytic and metabolic activity as a biomarker pathway

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Published

2025-02-02

How to Cite

Bebane, P. S., Yousif, P., Mustafa, S. I., & mamand, S. (2025). WEIGHTED GENE CO-EXPRESSION NETWORK ANALYSIS IDENTIFIES BIOLOGICAL PATHWAYS AND BIOMARKER GENES ASSOCIATED WITH CHICKENS’ ADAPTATION TO BOTH LOW AND HIGH ALTITUDES. Science Journal of University of Zakho, 13(1), 97–100. https://doi.org/10.25271/sjuoz.2025.13.1.1448

Issue

Vol. 13 No. 1 (2025): January - March Issue

Section

Science Journal of University of Zakho

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Copyright (c) 2025 Pshtiwan S.A. Bebane, Paiman Yousif, Sarbast I. Mustafa, Sami mamand

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