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1. Phylogenomic structure and speciation in an emerging model: the Sphagnum magellanicum complex (Bryophyta)

   https://doi.org/10.1111/nph.18429  

   Shaw, A. Jonathan ; Piatkowski, Bryan ; Duffy, Aaron M. ; Aguero, Blanka ; Imwattana, Karn ; Nieto‐Lugilde, Marta ; Healey, Adam ; Weston, David J. ; Patel, Megan N. ; Schmutz, Jeremy ; et al ( October 2022 , New Phytologist)
2. Draft Metagenome Sequences of the Sphagnum (Peat Moss) Microbiome from Ambient and Warmed Environments across Europe

   https://doi.org/10.1128/mra.00400-22  

   Piatkowski, Bryan T. ; Carper, Dana L. ; Carrell, Alyssa A. ; Chen, I-Min A. ; Clum, Alicia ; Daum, Chris ; Eloe-Fadrosh, Emiley A. ; Gilbert, Daniel ; Granath, Gustaf ; Huntemann, Marcel ; et al ( October 2022 , Microbiology Resource Announcements)

   Stajich, Jason E. (Ed.)

   ABSTRACT We present 49 metagenome assemblies of the microbiome associated with Sphagnum (peat moss) collected from ambient, artificially warmed, and geothermally warmed conditions across Europe. These data will enable further research regarding the impact of climate change on plant-microbe symbiosis, ecology, and ecosystem functioning of northern peatland ecosystems. 

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3. Defining the Sphagnum Core Microbiome across the North American Continent Reveals a Central Role for Diazotrophic Methanotrophs in the Nitrogen and Carbon Cycles of Boreal Peatland Ecosystems

   https://doi.org/10.1128/mbio.03714-21  

   Kolton, Max ; Weston, David J. ; Mayali, Xavier ; Weber, Peter K. ; McFarlane, Karis J. ; Pett-Ridge, Jennifer ; Somoza, Mark M. ; Lietard, Jory ; Glass, Jennifer B. ; Lilleskov, Erik A. ; et al ( February 2022 , mBio)

   Martiny, Jennifer B. (Ed.)

   ABSTRACT Peat mosses of the genus Sphagnum are ecosystem engineers that frequently predominate over photosynthetic production in boreal peatlands. Sphagnum spp. host diverse microbial communities capable of nitrogen fixation (diazotrophy) and methane oxidation (methanotrophy), thereby potentially supporting plant growth under severely nutrient-limited conditions. Moreover, diazotrophic methanotrophs represent a possible “missing link” between the carbon and nitrogen cycles, but the functional contributions of the Sphagnum -associated microbiome remain in question. A combination of metagenomics, metatranscriptomics, and dual-isotope incorporation assays was applied to investigate Sphagnum microbiome community composition across the North American continent and provide empirical evidence for diazotrophic methanotrophy in Sphagnum -dominated ecosystems. Remarkably consistent prokaryotic communities were detected in over 250 Sphagnum SSU rRNA libraries from peatlands across the United States (5 states, 17 bog/fen sites, 18 Sphagnum species), with 12 genera of the core microbiome comprising 60% of the relative microbial abundance. Additionally, nitrogenase ( nifH ) and SSU rRNA gene amplicon analysis revealed that nitrogen-fixing populations made up nearly 15% of the prokaryotic communities, predominated by Nostocales cyanobacteria and Rhizobiales methanotrophs. While cyanobacteria comprised the vast majority (>95%) of diazotrophs detected in amplicon and metagenome analyses, obligate methanotrophs of the genus Methyloferula (order Rhizobiales ) accounted for one-quarter of transcribed nifH genes. Furthermore, in dual-isotope tracer experiments, members of the Rhizobiales showed substantial incorporation of 13 CH 4 and 15 N 2 isotopes into their rRNA. Our study characterizes the core Sphagnum microbiome across large spatial scales and indicates that diazotrophic methanotrophs, here defined as obligate methanotrophs of the rare biosphere ( Methyloferula spp. of the Rhizobiales ) that also carry out diazotrophy, play a keystone role in coupling of the carbon and nitrogen cycles in nutrient-poor peatlands. IMPORTANCE Nitrogen availability frequently limits photosynthetic production in Sphagnum moss-dominated high-latitude peatlands, which are crucial carbon-sequestering ecosystems at risk to climate change effects. It has been previously suggested that microbial methane-fueled fixation of atmospheric nitrogen (N 2 ) may occur in these ecosystems, but this process and the organisms involved are largely uncharacterized. A combination of omics (DNA and RNA characterization) and dual-isotope incorporation approaches illuminated the functional diversity of Sphagnum -associated microbiomes and defined 12 bacterial genera in its core microbiome at the continental scale. Moreover, obligate diazotrophic methanotrophs showed high nitrogen fixation gene expression levels and incorporated a substantial amount of atmospheric nitrogen and methane-driven carbon into their biomass. Thus, these results point to a central role for members of the rare biosphere in Sphagnum microbiomes as keystone species that couple nitrogen fixation to methane oxidation in nutrient-poor peatlands. 

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4. Modelling the habitat preference of two key <i>Sphagnum</i> species in a poor fen as controlled by capitulum water content

   https://doi.org/10.5194/bg-17-5693-2020  

   Gong, Jinnan ; Roulet, Nigel ; Frolking, Steve ; Peltola, Heli ; Laine, Anna M. ; Kokkonen, Nicola ; Tuittila, Eeva-Stiina ( January 2020 , Biogeosciences)

   null (Ed.)

   Abstract. Current peatland models generally treat vegetation as static, although plant community structure is known to alter as a response to environmental change. Because the vegetation structure and ecosystem functioning are tightly linked, realistic projections of peatland response to climate change require the inclusion of vegetation dynamics in ecosystem models. In peatlands, Sphagnum mosses are key engineers. Moss community composition primarily follows habitat moisture conditions. The known species habitat preference along the prevailing moisture gradient might not directly serve as a reliable predictor for future species compositions, as water table fluctuation is likely to increase. Hence, modelling the mechanisms that control the habitat preference of Sphagna is a good first step for modelling community dynamics in peatlands. In this study, we developed the Peatland Moss Simulator (PMS), which simulates the community dynamics of the peatland moss layer. PMS is a process-based model that employs a stochastic, individual-based approach for simulating competition within the peatland moss layer based on species differences in functional traits. At the shoot-level, growth and competition were driven by net photosynthesis, which was regulated by hydrological processes via the capitulum water content. The model was tested by predicting the habitat preferences of Sphagnum magellanicum and Sphagnum fallax – two key species representing dry (hummock) and wet (lawn) habitats in a poor fen peatland (Lakkasuo, Finland). PMS successfully captured the habitat preferences of the two Sphagnum species based on observed variations in trait properties. Our model simulation further showed that the validity of PMS depended on the interspecific differences in the capitulum water content being correctly specified. Neglecting the water content differences led to the failure of PMS to predict the habitat preferences of the species in stochastic simulations. Our work highlights the importance of the capitulum water content with respect to the dynamics and carbon functioning of Sphagnum communities in peatland ecosystems. Thus, studies of peatland responses to changing environmental conditions need to include capitulum water processes as a control on moss community dynamics. Our PMS model could be used as an elemental design for the future development of dynamic vegetation models for peatland ecosystems. 

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5. Spectral Indices of Vegetation Condition and Soil Water Content Reflect Controls on CH 4 and CO 2 Exchange in Sphagnum ‐Dominated Northern Peatlands

   https://doi.org/10.1029/2021JG006486  

   Tucker, Colin ; O’Neill, Ally ; Meingast, Karl ; Bourgeau‐Chavez, Laura ; Lilleskov, Erik ; Kane, Evan S. ( June 2022 , Journal of Geophysical Research: Biogeosciences)

   Northern peatlands play an important role in the global C cycle due to their large C stocks and high potential methane (CH₄) emissions. The CH₄and CO₂cycles of these systems are closely linked to hydrology, with water table level regulating the balance of oxic and anoxic conditions and the water content ofSphagnummosses that dominate primary production. Previous work has demonstrated that hyperspectral indices well‐suited to the detection of altered hydrology inSphagnumpeatlands are also highly correlated with GPP. However, little work has been done to extend these findings to CH₄effluxes. In this study, we evaluate the utility of four hyperspectral indices, two reflecting vegetation photosynthetic function (chlorophyll index (CI); normalized difference vegetation index) and two reflecting water content (wetness index (WI); floating water band index), for detecting effects of altered water table, precipitation, and vegetation community on CH₄and CO₂exchange in two peatland mesocosm studies. We found that CI is a good predictor of net CO₂exchange, and that it captured both drought and vegetation effects consistently across a broad range of vegetation treatments. Further, we demonstrate for the first time that WI combined with CI explained a significant percentage of CH₄efflux (R² = 0.32–0.57). Our results indicate that CI and WI together may be effective tools for detecting effects of altered hydrology and vegetation on northernSphagnum‐peatland CH₄and CO₂emissions, with implications for detecting and modeling changes in emissions of greenhouse gases at scales ranging from the ecosystem to the Earth system.

    

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