Advances in Rumen Microbiome Science: Emerging Technologies for Sustainable Livestock Production

A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Veterinary Microbiology".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 816

Special Issue Editors


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Guest Editor Assistant
Campo Experimental General Terán, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, General Terán 67400, Nuevo León, Mexico
Interests: ruminant nutrition; microbiology; milk quality; meat quality
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Special Issue Information

Dear Colleagues, 

The ruminal microbiome—the synergistic consortium of bacteria, archaea, protozoa, fungi, and viruses inhabiting the forestomach of ruminants—drives the bioconversion of recalcitrant plant fiber into nutrients, underpins animal productivity, and represents the largest natural source of anthropogenic methane. Elucidating its composition and function is therefore pivotal for improving feed efficiency, reducing greenhouse gas emissions, safeguarding animal health, and securing sustainable protein production.

Despite the fact that rapid progress has been made, fundamental knowledge gaps persist. We still lack the strain-level resolution of key fibrolytic and methanogenic guilds across breeds, ages, and production systems; temporal dynamics during critical physiological transitions remain under-sampled; cross-kingdom interactions, especially viral predation and protozoal symbioses, are poorly quantified; and integrative models linking microbial activities to host genetics, immune tone, and metabolite fluxes are missing.

Several trends are poised to close these gaps. Long-read metagenomics and single-cell genomics are revealing novel lineages previously masked by assembly fragmentation. Layered multi-omics (metatranscriptomics, metaproteomics, and metabolomics) combined with spatially resolved omics and rumen-organoid platforms are uncovering micro-niche functional heterogeneity. Machine learning pipelines leveraging global rumen databases are beginning to predict community responses to diet and climate stressors, enabling data-driven precision feeding strategies.

This Special Issue welcomes the submission of contributions that (i) integrate multi-omics datasets to map metabolic handoffs; (ii) dissect archaeal–bacterial syntropy underlying methanogenesis and explore alternative hydrogen sinks; (iii) characterize the rumen virome and its potential for phage therapy; (iv) manipulate protozoa and anaerobic fungi for enhanced fiber degradation; (v) elucidate host genetic and epigenetic determinants of microbiome assembly; (vi) evaluate plant secondary metabolites, nanoparticles, or microbiome-modulating enzymes as antibiotic alternatives; (vii) model microbiome shifts under heat stress, water scarcity, and novel forages; and (viii) develop synbiotic or engineered consortia for climate-smart livestock. Collectively, these efforts will contribute towards achieving transformative and sustainable ruminant production globally.

Reviews, original research, and communications are welcome to be submitted to this Special Issue

Dr. Simone Peletto
Guest Editor

Dr. Lorenzo Danilo Granados-Rivera
Guest Editor Assistant

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Keywords

  • ruminal microbiome
  • metagenomics
  • methanogenesis
  • feed efficiency
  • multi-omics
  • host–microbe interactions
  • microbial ecology
  • rumen fermentation
  • climate mitigation
  • precision livestock

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Published Papers (1 paper)

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Research

18 pages, 2892 KB  
Article
Effects of Left-Displaced Abomasum on the Rumen Microbiota of Dairy Cows
by Zihang Qin, Yawei Sun, Jiaqi Zhang, Yunle Cui, Haiyang Hu, Yuefeng Chu, Xin Li, Xuelian Ma, Gang Yao, Chuanjun Wang, Bao Wang, Qiang Fu, Qi Zhong and Na Li
Microorganisms 2026, 14(1), 30; https://doi.org/10.3390/microorganisms14010030 - 22 Dec 2025
Viewed by 565
Abstract
In this experiment, the rumen microbiota of healthy cows, cows with left-displaced abomasum (LDA), and cows after 7 days of LDA treatment (LDA_7) were compared to explore the correlation between LDA and the rumen microbiota and identify early warning markers for LDA. Compared [...] Read more.
In this experiment, the rumen microbiota of healthy cows, cows with left-displaced abomasum (LDA), and cows after 7 days of LDA treatment (LDA_7) were compared to explore the correlation between LDA and the rumen microbiota and identify early warning markers for LDA. Compared with the healthy group and the LDA_7 group, the LDA group exhibited fewer Operational Taxonomic Units (LDA: 21,361; Healthy: 23,231; LDA_7: 23,956; p < 0.05). The results revealed significant differences in community structure between LDA-affected cows and healthy cows, as well as between treated and untreated LDA-affected cows. Specifically, the relative abundance of Bacteroidota significantly increased and the relative abundance of Firmicutes significantly decreased in LDA-affected cows (p < 0.05). At the genus level, the abundances of UCG_002, UCG_010, and Bacteroidales_BS11_gut_group significantly increased (p < 0.01), whereas those of Trichosporon, Chryseomicrobium, and [Ruminococcus]_gauvreauii_group significantly decreased in LDA-affected cows (p < 0.01). Functional prediction analysis indicated that amino acid biosynthesis and glycerol ester metabolism were significantly downregulated in LDA-affected cows (p < 0.01). After treatment, the abundance of key microbial taxa (UCG_002 and Lachnospira) and metabolic functions normalized to levels similar to healthy cows (p > 0.05). These findings suggest that changes in rumen microbiota richness and diversity could serve as early warning markers for LDA detection. Full article
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