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Protozoal populations drive system-wide variation in the rumen microbiome

Author

Listed:
  • Carl M. Kobel

    (Norwegian University of Life Sciences)

  • Andy Leu

    (Translational Research Institute)

  • Arturo Vera-Ponce de León

    (Norwegian University of Life Sciences)

  • Ove Øyås

    (Norwegian University of Life Sciences)

  • Wanxin Lai

    (Norwegian University of Life Sciences)

  • Ianina Altshuler

    (Norwegian University of Life Sciences
    École Polytechnique Fédérale de Lausanne)

  • Live H. Hagen

    (Norwegian University of Life Sciences)

  • Rasmus D. Wollenberg

    (DNASense ApS)

  • Mads T. Søndergaard

    (DNASense ApS)

  • Cassie R. Bakshani

    (Newcastle University
    University of Birmingham)

  • William G. T. Willats

    (Newcastle University)

  • Laura Nicoll

    (Scotland’s Rural College)

  • Simon J. McIlroy

    (Translational Research Institute)

  • Torgeir R. Hvidsten

    (Norwegian University of Life Sciences)

  • Oliver Schmidt

    (Monash University
    UiT The Arctic University of Norway)

  • Chris Greening

    (Monash University)

  • Gene W. Tyson

    (Translational Research Institute)

  • Rainer Roehe

    (Scotland’s Rural College)

  • Velma T. E. Aho

    (Norwegian University of Life Sciences)

  • Phillip B. Pope

    (Norwegian University of Life Sciences
    Translational Research Institute
    Norwegian University of Life Sciences)

Abstract

While rapid progress has been made to characterize the bacterial and archaeal populations of the rumen microbiome, insight into how they interact with keystone protozoal species remains elusive. Here, we reveal two distinct system-wide rumen community types (RCT-A and RCT-B) that are not strongly associated with host phenotype nor genotype but instead linked to protozoal community patterns. We leveraged a series of multi-omic datasets to show that the dominant Epidinium spp. in animals with RCT-B employ a plethora of fiber-degrading enzymes that present enriched Prevotella spp. a favorable carbon landscape to forage upon. Conversely, animals with RCT-A, dominated by genera Isotricha and Entodinium, harbor a more even distribution of fiber, protein, and amino acid metabolizers, reflected by higher detection of metabolites from both protozoal and bacterial activity. Our results indicate that microbiome variation across key protozoal and bacterial populations is interlinked, which should act as an important consideration for future development of microbiome-based technologies.

Suggested Citation

  • Carl M. Kobel & Andy Leu & Arturo Vera-Ponce de León & Ove Øyås & Wanxin Lai & Ianina Altshuler & Live H. Hagen & Rasmus D. Wollenberg & Mads T. Søndergaard & Cassie R. Bakshani & William G. T. Willat, 2025. "Protozoal populations drive system-wide variation in the rumen microbiome," Nature Communications, Nature, vol. 16(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61302-2
    DOI: 10.1038/s41467-025-61302-2
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    References listed on IDEAS

    as
    1. Ian Holmes & Keith Harris & Christopher Quince, 2012. "Dirichlet Multinomial Mixtures: Generative Models for Microbial Metagenomics," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-15, February.
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