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      Comparative functional microbiome profiling of various animal manures during their anaerobic digestion in biogas production processes

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      Biomass and Bioenergy
      Elsevier BV

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          Role of renewable energy sources in environmental protection: A review

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            A review of renewable energy sources, sustainability issues and climate change mitigation

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              Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range

              Ruminant livestock are important sources of human food and global greenhouse gas emissions. Feed degradation and methane formation by ruminants rely on metabolic interactions between rumen microbes and affect ruminant productivity. Rumen and camelid foregut microbial community composition was determined in 742 samples from 32 animal species and 35 countries, to estimate if this was influenced by diet, host species, or geography. Similar bacteria and archaea dominated in nearly all samples, while protozoal communities were more variable. The dominant bacteria are poorly characterised, but the methanogenic archaea are better known and highly conserved across the world. This universality and limited diversity could make it possible to mitigate methane emissions by developing strategies that target the few dominant methanogens. Differences in microbial community compositions were predominantly attributable to diet, with the host being less influential. There were few strong co-occurrence patterns between microbes, suggesting that major metabolic interactions are non-selective rather than specific.
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                Author and article information

                Contributors
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                Journal
                Biomass and Bioenergy
                Biomass and Bioenergy
                Elsevier BV
                09619534
                March 2023
                March 2023
                : 170
                : 106728
                Article
                10.1016/j.biombioe.2023.106728
                39e91e25-c5f2-4c30-84bd-1fb96878dba1
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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