Journal of Animal Science and Technology
Korean Society of Animal Science and Technology
Article

Comparative pangenome analysis of methanogenic archaea from diverse ecosystems reveals potential targets for methane mitigation in rumen microbiome

Jeongkuk Park1, Ki Beom Jang1, Min-Geun Kanga1, Junhyeok Kyung1, Jihyun Yoon1, Sangdon Ryu2, Younghoon Kim1,*
1Department of Agricultural Biotechnology, Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea.
2Honam National Institute of Biological Resources, Mokpo-si 58762, Korea.
*Corresponding Author: Younghoon Kim, Department of Agricultural Biotechnology, Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea, Republic of. E-mail: ykeys2584@snu.ac.kr.

© Copyright 2025 Korean Society of Animal Science and Technology. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Oct 24, 2025; Revised: Nov 08, 2025; Accepted: Nov 11, 2025

Published Online: Nov 17, 2025

Abstract

Rumen methanogenesis is a major biological contributor to methane emissions in ruminants, yet the extent to which functional markers align with taxonomic relationships and how genome content varies across habitats, remains poorly resolved. In this study, we integrated broad phylogenetic frameworks with pangenome-resolved analysis to characterize methanogenic archaea from diverse ecosystems, including seawater, freshwater, sewage, rumen, human gut, soil, and cockroach sources. By combining these insights with pangenome reconstruction and KEGG-based pathway mapping of methanogenesis, we reveal key evolutionary and functional patterns. Notably, phylogenies based on 16S rRNA and <italic>mcrA</italic> genes showed limited concordance: only two clades exhibited overlap between trees, with most clustering patterns lacking environmental specificity. This discrepancy reflects the deep conservation of 16S rRNA compared with the evolutionary plasticity of <italic>mcr</italic> genes, shaped by lateral gene transfer, gene loss, and pathway modularity. The pangenome comprised of 8,695 orthogroups across 71 genomes, with core and soft-core genes enriched in translation, amino acid metabolism, and coenzyme biosynthesis, while the shell contained many poorly annotated orthogroups, highlighting annotation gaps in archaeal genomes. KEGG analysis revealed habitat-specific signatures: rumen methanogens were notably depleted in genes of the acetyl-CoA pathway, whereas human gut methanogens lacked key cofactor biosynthesis modules, including those for coenzymes M, B, F<sub>420</sub>, and methanofuran. From rumen-derived shotgun metagenomes, we identified 53 methane-producing, 4 canonical methanogenic, 10 potential competitor, and 1 methanotrophic metagenome-assembled genomes (MAGs) based on functional gene content. Competitor candidates included nitrate-reducing and Wood–Ljungdahl pathway (WLP)-utilizing acetogens, suggesting hydrogen redirection under high-hydrogen or inhibitor conditions. These findings support a functional marker strategy that integrates 16S rRNA with pathway-specific genes and a pangenome framework to enhance ecological interpretations of methanogens and to prioritize potential targets for methane mitigation in ruminants.

Keywords: Comparative pangenome; rumen microbiome; MAGs; methanogen; methane mitigation