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A) Relative abundance and expression of the key nitrogen-cycling marker genes and their functional ratios in metagenomic (MG) and metatranscriptomic (MT) data comparing plots outside and inside the exclusion fence. B) Relative abundance and expression of the methane-cycling marker genes and the methane oxidation/methanogenesis ratio in MG and MT data. C) <t>September</t> <t>pore-water</t> nitrate + nitrite (NO₃⁻ + NO₂⁻) and total nitrogen (Total N) by the exclusion treatment and vegetation cluster with the associated ( nirS + nirK)/nosZ ratios in MG and MT data. D) Methane fluxes measured near the soil sampling dates by the exclusion treatment and vegetation cluster and the associated pmoA/mcrA ratios in MG and MT data. E) Linear regressions showing associations between pore-water NO₃⁻ + NO₂⁻ and the denitrification genes/ratios, methane fluxes and methane oxidation/methanogenesis genes/ratios. Abbreviations for the vegetation clusters, T.ces = Trichophorum cespitosum , C.ros = Carex rostrata , C.cho = Carex chordorrhiza . MG and MT reads were aligned to the eukaryote-filtered Greening Lab metabolic marker database and summarized to marker-gene level. Marker gene counts were converted to copies-per-million (as for transcripts-per-million). Linear mixed-effects models (LMMs) (exclusion treatment and snow treatment as fixed effects, vegetation cluster as a random effect) were used to determine significance of the MG abundance and MT expression association to the treatments. For the LMMs the marker gene data were log₂-transformed. Pore-water NO₃⁻ + NO₂⁻, Total N, methane fluxes and functional ratios were natural-log transformed for the regression analyses. Boxplots are plotted without potential outlier observations for better visualization.
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A) Relative abundance and expression of the key nitrogen-cycling marker genes and their functional ratios in metagenomic (MG) and metatranscriptomic (MT) data comparing plots outside and inside the exclusion fence. B) Relative abundance and expression of the methane-cycling marker genes and the methane oxidation/methanogenesis ratio in MG and MT data. C) <t>September</t> <t>pore-water</t> nitrate + nitrite (NO₃⁻ + NO₂⁻) and total nitrogen (Total N) by the exclusion treatment and vegetation cluster with the associated ( nirS + nirK)/nosZ ratios in MG and MT data. D) Methane fluxes measured near the soil sampling dates by the exclusion treatment and vegetation cluster and the associated pmoA/mcrA ratios in MG and MT data. E) Linear regressions showing associations between pore-water NO₃⁻ + NO₂⁻ and the denitrification genes/ratios, methane fluxes and methane oxidation/methanogenesis genes/ratios. Abbreviations for the vegetation clusters, T.ces = Trichophorum cespitosum , C.ros = Carex rostrata , C.cho = Carex chordorrhiza . MG and MT reads were aligned to the eukaryote-filtered Greening Lab metabolic marker database and summarized to marker-gene level. Marker gene counts were converted to copies-per-million (as for transcripts-per-million). Linear mixed-effects models (LMMs) (exclusion treatment and snow treatment as fixed effects, vegetation cluster as a random effect) were used to determine significance of the MG abundance and MT expression association to the treatments. For the LMMs the marker gene data were log₂-transformed. Pore-water NO₃⁻ + NO₂⁻, Total N, methane fluxes and functional ratios were natural-log transformed for the regression analyses. Boxplots are plotted without potential outlier observations for better visualization.
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A) Relative abundance and expression of the key nitrogen-cycling marker genes and their functional ratios in metagenomic (MG) and metatranscriptomic (MT) data comparing plots outside and inside the exclusion fence. B) Relative abundance and expression of the methane-cycling marker genes and the methane oxidation/methanogenesis ratio in MG and MT data. C) <t>September</t> <t>pore-water</t> nitrate + nitrite (NO₃⁻ + NO₂⁻) and total nitrogen (Total N) by the exclusion treatment and vegetation cluster with the associated ( nirS + nirK)/nosZ ratios in MG and MT data. D) Methane fluxes measured near the soil sampling dates by the exclusion treatment and vegetation cluster and the associated pmoA/mcrA ratios in MG and MT data. E) Linear regressions showing associations between pore-water NO₃⁻ + NO₂⁻ and the denitrification genes/ratios, methane fluxes and methane oxidation/methanogenesis genes/ratios. Abbreviations for the vegetation clusters, T.ces = Trichophorum cespitosum , C.ros = Carex rostrata , C.cho = Carex chordorrhiza . MG and MT reads were aligned to the eukaryote-filtered Greening Lab metabolic marker database and summarized to marker-gene level. Marker gene counts were converted to copies-per-million (as for transcripts-per-million). Linear mixed-effects models (LMMs) (exclusion treatment and snow treatment as fixed effects, vegetation cluster as a random effect) were used to determine significance of the MG abundance and MT expression association to the treatments. For the LMMs the marker gene data were log₂-transformed. Pore-water NO₃⁻ + NO₂⁻, Total N, methane fluxes and functional ratios were natural-log transformed for the regression analyses. Boxplots are plotted without potential outlier observations for better visualization.
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A) Relative abundance and expression of the key nitrogen-cycling marker genes and their functional ratios in metagenomic (MG) and metatranscriptomic (MT) data comparing plots outside and inside the exclusion fence. B) Relative abundance and expression of the methane-cycling marker genes and the methane oxidation/methanogenesis ratio in MG and MT data. C) September pore-water nitrate + nitrite (NO₃⁻ + NO₂⁻) and total nitrogen (Total N) by the exclusion treatment and vegetation cluster with the associated ( nirS + nirK)/nosZ ratios in MG and MT data. D) Methane fluxes measured near the soil sampling dates by the exclusion treatment and vegetation cluster and the associated pmoA/mcrA ratios in MG and MT data. E) Linear regressions showing associations between pore-water NO₃⁻ + NO₂⁻ and the denitrification genes/ratios, methane fluxes and methane oxidation/methanogenesis genes/ratios. Abbreviations for the vegetation clusters, T.ces = Trichophorum cespitosum , C.ros = Carex rostrata , C.cho = Carex chordorrhiza . MG and MT reads were aligned to the eukaryote-filtered Greening Lab metabolic marker database and summarized to marker-gene level. Marker gene counts were converted to copies-per-million (as for transcripts-per-million). Linear mixed-effects models (LMMs) (exclusion treatment and snow treatment as fixed effects, vegetation cluster as a random effect) were used to determine significance of the MG abundance and MT expression association to the treatments. For the LMMs the marker gene data were log₂-transformed. Pore-water NO₃⁻ + NO₂⁻, Total N, methane fluxes and functional ratios were natural-log transformed for the regression analyses. Boxplots are plotted without potential outlier observations for better visualization.

Journal: bioRxiv

Article Title: Soil microbiome structure and function reflect environmental variation rather than reindeer presence in a northern peatland

doi: 10.64898/2026.05.13.724277

Figure Lengend Snippet: A) Relative abundance and expression of the key nitrogen-cycling marker genes and their functional ratios in metagenomic (MG) and metatranscriptomic (MT) data comparing plots outside and inside the exclusion fence. B) Relative abundance and expression of the methane-cycling marker genes and the methane oxidation/methanogenesis ratio in MG and MT data. C) September pore-water nitrate + nitrite (NO₃⁻ + NO₂⁻) and total nitrogen (Total N) by the exclusion treatment and vegetation cluster with the associated ( nirS + nirK)/nosZ ratios in MG and MT data. D) Methane fluxes measured near the soil sampling dates by the exclusion treatment and vegetation cluster and the associated pmoA/mcrA ratios in MG and MT data. E) Linear regressions showing associations between pore-water NO₃⁻ + NO₂⁻ and the denitrification genes/ratios, methane fluxes and methane oxidation/methanogenesis genes/ratios. Abbreviations for the vegetation clusters, T.ces = Trichophorum cespitosum , C.ros = Carex rostrata , C.cho = Carex chordorrhiza . MG and MT reads were aligned to the eukaryote-filtered Greening Lab metabolic marker database and summarized to marker-gene level. Marker gene counts were converted to copies-per-million (as for transcripts-per-million). Linear mixed-effects models (LMMs) (exclusion treatment and snow treatment as fixed effects, vegetation cluster as a random effect) were used to determine significance of the MG abundance and MT expression association to the treatments. For the LMMs the marker gene data were log₂-transformed. Pore-water NO₃⁻ + NO₂⁻, Total N, methane fluxes and functional ratios were natural-log transformed for the regression analyses. Boxplots are plotted without potential outlier observations for better visualization.

Article Snippet: Peat pore-water was collected five times from May to September 2021 (Rhizon samplers, Rhizosphere Research Products, Netherlands) at 10 cm depth into evacuated opaque syringes, after which samples were filtered (0.45 μm sterile nylon, Sarstedt, Germany) and frozen at −18 °C.

Techniques: Expressing, Marker, Functional Assay, Sampling, Transformation Assay