Biology subjects

Lever, M. A.

Publications and source records attributed to Lever, M. A..

6 recordsLinked to original sources

bioRxiv2024

Drivers of methane-cycling archaeal abundances, community structure, and catabolic pathways in continental margin sediments

Marine sediments contain Earths largest reservoir of methane, with most of this methane being produced and consumed in situ by methane-cycling archaea. While numerous studies have investigated communities of methane-cycling archaea in hydrocarbon seeps and sulfate-methane transition zones, little is known about how these archaea change from the seafloor downward in the far more common diffusion-dominated marine sediments. Focusing on four continental margin sites of the North Sea-Baltic Sea transition, we here investigate the in situ drivers of methane-cycling archaeal community structure and metabolism based on geochemical and stable carbon-isotopic gradients, functional gene (mcrA) copy numbers and phylogenetic compositions, as well as thermodynamic calculations. We observe major vertical and lateral changes in community structure that largely follow changes in organic matter reactivity and content, sulfate concentration, and bioturbation activity. While methane-cycling archaeal communities in bioturbation and sulfate reduction zones are dominated by known methyl-dismutating taxa within the Methanosarcinaceae and putatively CO2-reducing Methanomicrobiaceae, the communities change toward dominance of known methane-oxidizing taxa (ANME-2a-b, ANME-2c, ANME-1a-b) in sulfate-methane transitions. Underlying methanogenesis zones were characterized by a change toward mainly physiologically uncharacterized groups, including ANME-1d and several new genus-level groups of putatively CO2-reducing Methanomicrobiaceae and methyl-reducing Methanomassiliicoccales. Notably, group-specific increases in mcrA copy numbers by 2 to 4 orders of magnitude from the sulfate reduction zone into the sulfate-methane transitions or methanogenesis zones indicate the thriving of several major methane-cycling archaeal taxa. Together our study provides insights into the community and pathway shifts vertically along the geochemical gradients and horizontally along the different sedimentary settings and their underlying drivers in continental margin sediments.

ecology↗

bioRxiv2024

Capturing spatiotemporal variation in salt marsh belowground biomass, a key resilience metric, through geoinformatics

The Belowground Ecosystem Resiliency Model (BERM) is a geoinformatics tool that was developed to predict belowground biomass (BGB) of Spartina alterniflora in salt marshes based on remote sensing of aboveground characteristics and other readily available hydrologic, climatic, and physical data. We sought to characterize variation in S. alterniflora BGB over both temporal and spatial gradients through extensive marsh field observations in coastal Georgia, USA, to quantify their relationship with a suite of predictor variables, and to use these results to improve performance and expand the parameter space of BERM. We conducted pairwise comparisons of S. alterniflora growth metrics measured at nine sites over three to eight years and found that BGB grouped by site differed in 69% of comparisons, while only in 21% when grouped by year. This suggests that BGB varies more spatially than temporally. We used the BERM machine learning algorithms to evaluate how variables relating to biological, climatic, hydrologic, and physical attributes covaried with these BGB observations. Flooding frequency and intensity were most influential in predicting BGB, with predictor variables related to hydrology composing 61% of the total feature importance in the BERM framework. When we used this expanded calibration dataset and associated predictors to advance BERM, model error was reduced from a normalized root mean square error of 13.0% to 9.4% in comparison to the original BERM formulation. This reflects both an improvement in predictive performance and an expansion in conditions for potential model application. Finally, we used regression commonality analysis to show that model estimates reflected the spatiotemporal structure of BGB variation observed in field measurements. These results can help guide future data collection efforts to describe landscape-scale BGB trends. The advanced BERM is a robust tool that can characterize S. alterniflora productivity and resilience over broad spatial and temporal scales.

ecology↗

bioRxiv2024

The effect of a short oxygen exposure period on algal biomass degradation and methane formation in eutrophic and oligotrophic lake sediments

Eutrophication is suggested to enhance lacustrine methane emissions, due to enhanced sedimentary decomposition rates of algal biomass, and more frequent occurrence of water column anoxia. We investigated methane emissions from sediments originating from both a eutrophic and oligotrophic lake, and tested the effect of additional algal C inputs. Additionally, we investigated the effect of a pulse supply of oxygen, a mediating measure that is currently being used in the investigated eutrophic lake. Our results show a large legacy effect of eutrophication, but the methane release from new algal biomass additions was the same, although the process proceeded more rapidly in the eutrophic sediments. A short, 3-week pulse of oxygen lowered the emitted methane from both types of sediments by 50%, not only reducing the emissions of algal biomass additions, but also reducing methane emissions from the experiments without fresh organic matter inputs. This effect was relatively long-lasting: its effects were visible for several weeks after anoxic conditions were re-established, making it a potentially interesting measure to lower methane emissions over a longer period. Volatile fatty acid concentrations in the sediments were lowered due to oxygen exposure. Both the methanogenic and methanotrophic community composition showed surprisingly little response to the oxygen or algal biomass pulses. Overall, our results show that providing sediments with a brief pulse of oxygen following an algal bloom event, could strongly mediate the methane emissions following such an event. Such measures could be considered by policy makers to limit greenhouse gas emissions from managed lakes.

molecular biology↗

bioRxiv2022

Deposit-feeding worms control subsurface ecosystem functioning in intertidal sediment with strong physical forcing

Intertidal sands are global hotspots of terrestrial and marine carbon cycling with strong hydrodynamic forcing by waves and tides and high macrofaunal activity. Yet, the relative importance of hydrodynamics and macrofauna in controlling these ecosystems remains unclear. Here we compare bacterial, archaeal, and eukaryotic communities in upper intertidal sands dominated by subsurface deposit-feeding worms (Abarenicola pacifica) to adjacent worm-free areas. We show that hydrodynamic forcing controls organismal assemblages in surface sediments, while in deeper layers selective feeding by worms on fine, algae-rich particles strongly decreases the abundance and richness of all three domains. In these deeper layers, bacterial and eukaryotic network connectivity decreases, while percentages of taxa involved in degradation of refractory organic macrostructures, oxidative nitrogen and sulfur cycling, and macrofaunal symbioses, increase. Our findings reveal macrofaunal activity as the key driver of ecosystem functioning and carbon cycling in intertidal sands below the mainly physically controlled surface layer. Significance StatementHydrodynamics and bioturbation are the main forces controlling chemical exchanges between sediment and seawater in coastal environments. However, little is known about the relative impact of both processes on sediment biological communities. We show that intertidal sand ecosystems dominated by lugworms can be divided into vertically distinct hydrodynamically and biologically controlled layers. Hydrodynamic forcing controls biological communities in surface layers by regulating organic carbon and electron acceptor inputs. By contrast, lugworms structure subsurface ecosystems through the selective consumption of fine particles, which diminishes microbial and eukaryotic populations and weakens ecological networks, while promoting the burial of, mostly terrestrial, macrodetritus. Our study demonstrates that globally distributed marine invertebrates control intertidal sand ecosystems below the physically controlled surface layer.

microbiology↗

bioRxiv2021

Ancient and modern geochemical signatures in the 13,500-year sedimentary record of Lake Cadagno

Although lake sediments are globally important organic carbon sinks and therefore important habitats for deep microbial life, the deep lacustrine biosphere has thus far been little studied compared to its marine counterpart. To investigate the impact of the underexplored deep lacustrine biosphere on the sediment geochemical environment and vice versa, we performed a comprehensive microbiological and geochemical characterization of a sedimentary sequence from Lake Cadagno covering its entire environmental history since formation following glacial retreat. We found that both geochemical gradients and microbial community shifts across the [~]13.5 kyr subsurface sedimentary record reflect redox changes in the lake, going from oxic to anoxic and sulfidic. Most microbial activity occurs within the top 40 cm of sediment, where millimolar sulfate concentrations diffusing in from the bottom water are completely consumed. In deeper sediment layers, organic carbon remineralization is much slower but microorganisms nonetheless subsist on fermentation, sulfur cycling, metal reduction, and methanogenesis. The most surprising finding was the presence of a deep, oxidizing groundwater source. This water source generates an inverse redox gradient at the bottom of the sedimentary sequence and could contribute to the remineralization of organic matter sequestered in the energy-limited deep subsurface.

microbiology↗

bioRxiv2021

Trophic status and local conditions affect microbial potential for denitrification versus internal nitrogen cycling in lake sediments

The nitrogen (N) cycle is of global importance as N is an essential element and a limiting nutrient in terrestrial and aquatic ecosystems. Excessive anthropogenic N fertilizer usage threatens sensitive downstream aquatic ecosystems. Although freshwater lake sediments remove N through various microbial transformation processes, few studies have investigated the microbial communities involved. In an integrated biogeochemical and microbiological study on a eutrophic and oligotrophic lake, we estimated N removal rates in the sediments from porewater concentration gradients. Simultaneously, the abundance of different microbial N transformation genes was investigated using metagenomics on a seasonal and spatial scale. We observed that contrasting nutrient concentrations in the sediments were reflected in distinct microbial community compositions and significant differences in the abundance of various N transformation genes. Within each lake, we observed a more pronounced spatial than seasonal variability. The eutrophic Lake Baldegg showed a higher denitrification potential with higher nosZ gene (N2O reductase) abundance and higher nirS:nirK (nitrite reductase) ratio, indicating a greater capacity for complete denitrification. Correspondingly, this lake had a higher N removal efficiency. The oligotrophic Lake Sarnen, in contrast, had a higher potential for DNRA and nitrification, and specifically a high abundance of Nitrospirae, including some capable of comammox. In general, the oligotrophic lake ecosystems had a higher microbial diversity, thus acting as an important habitat for oligotrophic microbes. Our results demonstrate that knowledge of the genomic N transformation potential is important for interpreting N process rates and understanding the limitations of the N cycle response to environmental drivers. Importance{paragraph}Anthropogenic nitrogen (N) inputs can lead to eutrophication in aquatic systems, specifically in N limited coastal ecosystems. Lakes act as N sinks by transforming reactive N to N2 through denitrification or anammox. The N cycle in lake sediments is mediated by microbial processes and affected by environmental drivers such as the amount and quality of settling organic material or nitrate concentration. However, the microbial communities mediating the different N transformation processes and their impact on N removal in freshwater lake sediments remain largely unknown. We provide the first seasonally and spatially resolved metagenomic analysis of the N cycle in the sediments of two lakes with different trophic states. We show that the trophic state of lakes provokes other microbial communities with characteristic key players and functional potential for N transformation.

microbiology↗