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Clustering Analysis of Cecal Microbiota Dynamics in Eimeria Maxima-Infected Chickens

In: AI, Society and Digital Transformation

Author

Listed:
  • Sina Aghakhani

    (Oklahoma State University, School of Industrial Engineering and Management)

  • Mohammad Fili

    (Oklahoma State University, School of Industrial Engineering and Management)

  • Guiping Hu

    (Oklahoma State University, School of Industrial Engineering and Management)

  • Guolong Zhang

    (Oklahoma State University, Department of Animal and Food Sciences)

  • Lizhi Wang

    (Oklahoma State University, School of Industrial Engineering and Management)

Abstract

Understanding how intestinal microbiota responds to Eimeria maxima infection is vital for advancing microbiome-based strategies against coccidiosis. This study analyzed temporal changes in the cecal microbial community of chickens infected with E. maxima, utilizing hierarchical clustering based on cosine distance and variance ratio criterion (VRC) scores. The cecal digesta samples were collected from infected and mock-infected broiler chickens at 3, 5, 7, 14, and 21 days post-infection. After filtering amplicon sequence variants (ASVs) and normalizing abundances, optimal clustering structures were determined. Results indicated a distinct clustering pattern between infected and mock-infected groups, highlighting bacterial groups associated with infection stages. This study provides a computational perspective on the dynamic restructuring of the intestinal microbiota community following coccidiosis and emphasizes the potential for microbiome-based intervention strategies.

Suggested Citation

  • Sina Aghakhani & Mohammad Fili & Guiping Hu & Guolong Zhang & Lizhi Wang, 2026. "Clustering Analysis of Cecal Microbiota Dynamics in Eimeria Maxima-Infected Chickens," Lecture Notes in Operations Research, in: Xiaolei Xie & Kejia Hu & Guiping Hu & Weiwei Chen & Robin Qiu (ed.), AI, Society and Digital Transformation, pages 186-196, Springer.
    • Handle: RePEc:spr:lnopch:978-3-032-13116-4_15
    DOI: 10.1007/978-3-032-13116-4_15
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