Biology subjects

Meile, C.

Publications and source records attributed to Meile, C..

4 recordsLinked to original sources

bioRxiv2025

Rapid ecosystem collapse and biofilter formation following seabed methane leakage

Globally, vast amounts of methane are trapped within subseafloor gas hydrates. Recent evidence suggests that climate- and human-induced perturbations can destabilize gas hydrates and trigger methane release, yet the response of deep-sea ecosystems to these changes remains poorly understood. Here we show multi-year in situ monitoring of seabed ecosystem following methane leakage induced by hydrate exploration activities. Within just two years, benthic microbial and eukaryotic diversity in the affected areas declined significantly, while microbial and macrofaunal abundance increased. Integrated geochemical and omics analyses reveal the rapid successional shift of seabed ecosystem to a novel chemosynthetic system. Aerobic methanotrophs (Methyloprofundus) co-established with unexpectedly fast growing anaerobic methanotrophic archaea (ANME-3), accompanied by a rapid recruitment of opportunistic polychaetes that bioirrigated the seabed to >50 cm depths. The active animal-microbe interactions sustained exceptionally high rates of methane oxidation that utilized diverse electron acceptors. We demonstrate that methane hydrate destabilization can trigger rapid collapse of native seabed ecosystem while driving the formation of an effective methane biofilter consuming this potent greenhouse gas much faster than previously estimated. Understanding seabed ecosystem response and feedback is critical for predicting benthic methane cycling under ongoing global change and for developing sustainable strategies for methane hydrate resource management.

ecology↗

bioRxiv2024

Meta-metabolome ecology reveals that geochemistry and microbial functional potential are linked to organic matter development across seven rivers

Rivers receive substantial dissolved organic matter (DOM) input from the land and transport it to the ocean. As DOM travels through watersheds, it undergoes biotic and abiotic transformations that impact biogeochemical cycles and any subsequent CO2 release into the atmosphere. While recent research has increased our mechanistic knowledge of DOM composition within watersheds, DOM development across broad spatial distances and within divergent biomes is under investigated. Here, we combined DOM characterization, geochemical analyses, and shotgun metagenomics to analyze samples from seven rivers ranging from the U.S. Pacific Northwest to Berlin, Germany. Initial analyses revealed that many DOM properties were distinguished by river type (e.g., wastewater, headwater) and that geochemistry often explained variation across rivers. At a global scale, analyses rooted in meta-metabolome ecology indicated that DOM was structured overwhelmingly by deterministic selection. When controlling for scale, however, analyses indicated that ecological assembly dynamics were again partially structured by river type. Finally, microbial analyses revealed that many riverine microbes from our systems shared core metabolic functional potential while differing in peripheral capabilities in across the rivers. Further analysis of the carbon degradation potential for recovered metagenomically assembled genomes indicated that the sampled rivers had strong taxonomically conserved niche differentiation and that carbon degradation potential diversity was significantly related to organic matter diversity. Together, these results help us uncover interconnections between the development of DOM, riverine geochemistry, and microbial functional potential.

ecology↗

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↗

bioRxiv2020

Mathematical investigation of microbial quorum sensing under various flow conditions

Microorganisms efficiently coordinate phenotype expressions through a decision-making process known as quorum sensing (QS). We investigated QS amongst heterogeneously distributed microbial aggregates under various flow conditions using a process-driven numerical model. Model simulations assess the conditions suitable for QS induction and quantify the importance of advective transport of signaling molecules. In addition, advection dilutes signaling molecules so that faster flow conditions require higher microbial densities, faster signal production rates, or higher sensitivities to signaling molecules to induce QS. However, autoinduction of signal production can substantially increase the transport distance of signaling molecules in both upstream and downstream directions. We present approximate analytical solutions of the advection-diffusion-reaction equation that describe the concentration profiles of signaling molecules for a wide range of flow and reaction rates. These empirical relationships, which predict the distribution of dissolved solutes following zero-order production kinetics along pore channels, allow to quantitatively estimate the effective communication distances amongst multiple microbial aggregates without further numerical simulations. Author SummaryMicrobes can interact with their surrounding environments by producing and sensing small signaling molecules. When the microbes experience a high enough concentration of the signaling molecules, they express certain phenotypes which is often energetically expensive. This microbial decision-making process known as quorum sensing (QS) has been understood to confer evolutionary benefits. However, it is still not completely understood how transport of the produced signaling molecules affects QS. Using a mathematical approach investigating QS across a range of environmentally relevant flow conditions, we find that advective transport promotes QS downstream yet also dilutes the concentration of signaling molecules. We quantify the importance of microbial cell location with respect to both other microbes and flow direction. By analyzing complex numerical simulation results, we provide analytical approximations to assess the distribution of signaling molecules in pore channels across a range of flow and reaction conditions.

microbiology↗