Cycling of sulfur redox intermediates drives microbial activity in the sulfate-methane transition zone of cold methane seeps

Eitel, E. M.; Murali, R.; Utter, D. R.; Wu, F.; Lim, S.; Connon, S. A.; Sessions, A.; Orphan, V. J.

doi:10.64898/2025.11.30.691342

Home/Archive/bioRxiv

bioRxiv · 10.64898/2025.11.30.691342

Cycling of sulfur redox intermediates drives microbial activity in the sulfate-methane transition zone of cold methane seeps

Eitel, E. M.·Murali, R.·Utter, D. R.·Wu, F.·Lim, S.·Connon, S. A.·Sessions, A.·Orphan, V. J.

View original source ↗Export metadata ↓

Abstract

Microbial sulfate reduction is a cornerstone of marine sediment biogeochemistry, driving carbon remineralization and fueling the anaerobic oxidation of methane (AOM). Yet in zones of high methane flux, sulfate limitations may constrain the sulfate-reducing bacteria (SRB) and anaerobic methanotrophic archaea (ANME) that typically perform AOM. Although often overlooked, sulfur redox intermediates are readily utilized by diverse microorganisms, potentially driving AOM in sulfate-limited zones. To resolve the microbial mechanisms underlying cryptic sulfur cycling in such sediments, Monterey Canyon cold methane seeps were investigated through an integrated geochemical, isotopic, and metatranscriptomic approach. High-resolution electrochemical measurements confirmed intense sulfide production in seep sites, and long-term anoxic incubations were conducted with sediment from the SMTZ amended with elemental sulfur, thiosulfate, or sulfate as the sole sulfur source, with or without methane. Over 650 days, sulfide accumulation was greatest in elemental sulfur treatments, followed by thiosulfate and sulfate; in all cases methane addition enhanced sulfide production. Isotopic measurements showed modest S-isotope fractionation indicating that the large fractionations typical of slow sulfate reduction were muted by additional sulfur transformations. In elemental sulfur treatments, isotopic and geochemical patterns suggested that disproportionation was unlikely. Metatranscriptomes revealed broad expression of sox genes and abundant dsr/apr across treatments, along with thiosulfate-linked phs upregulation. While ANME-2c and SEEP-SRB2 activity increased with methane, transcriptomic and isotopic data together highlighted the roles of Desulfocapsaceae, Desulfobulbaceae, and Sulfurovaceae lineages in mediating sulfur transformations. Taken together, these results demonstrate how cryptic sulfur cycling may sustain microbial communities in sulfate-depleted deep-sea sediments and contribute to AOM.

Explore related subjects

ecology Preprint

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Eitel, E. M., Murali, R., Utter, D. R., Wu, F., Lim, S., Connon, S. A., Sessions, A., Orphan, V. J.. 2025-12-02. Cycling of sulfur redox intermediates drives microbial activity in the sulfate-methane transition zone of cold methane seeps. https://doi.org/10.64898/2025.11.30.691342

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Operationalising the context in regenerative agriculture: decision-making and farm variability

Soil degradation is a widespread challenge that requires a broad response at the individual farm level. To ensure effectivity, the practices should be tailored to the farm context: land manager objectives and farm specific challenges. These have however been difficult to quantify. Here we demonstrate that a workable farm context can be created based on a value survey, open satellite and soil data, and published models for vegetation gross primary productivity and soil erosion. Based on the findings, despite individual differences, farmers value profitability and operational efficiency, but also biodiversity and soil health. At least the regenerative farmers surveyed also value working for the greater good more than maintaining tradition or power. In spite of wide differences in farm production orientation, we also found that each farm also had a broad variation in individual fields GPP. Most fields have a stable GPP level, which is either high or low, and that there is a 2-3-fold difference between the weakest and best producing fields indicating the potential for improving GPP by improving the growing conditions on currently weak fields. In addition, soil loss was found to be highly concentrated in critical source areas, where 10% of the field area contributed to 50% of the soil loss. Overall, open data can be linked to modelling workflows to rapidly produce a decision-making context for farmers. This facilitates benchmarking and co-learning as well as enables land managers and advisors to identify the farm context for planning effective responses to soil degradation.

ecology↗

bioRxiv2026

Fly, land, listen: Autonomous intermittent locomotion enables scalable low-noise drone ecoacoustic surveys

Ecoacoustic monitoring is enabling scientists and land managers to monitor and manage biodiversity more effectively and cost-efficiently in the face of human pressures and rapidly changing climates. Currently, most ecoacoustic surveys use manually deployed static sensors to record data, limiting the scale and reach of surveying efforts. Here we present a proof-of-concept autonomous drone platform that can use intermittent locomotion to conduct ecoacoustic surveys using an onboard sensor. Our custom prototype is able to fly, navigate, and avoid obstacles autonomously, land at a pre-determined location, record audio from an onboard microphone whilst static, before taking off and moving to the next sampling site. Autonomous navigation and operation enable greater sampling flexibility, reach, and scalability. Furthermore, by recording audio only whilst landed, noise from the drone's rotors does not mask signals or disturb animals, simplifying signal processing and downstream ecological analyses. We conducted trials in a scrubland habitat at the Knepp Estate in West Sussex, where our prototype demonstrated successful autonomous navigation and obstacle avoidance. Furthermore, we found that avian biodiversity data collected from the drone platform was comparable to that from traditional static acoustic sensor deployments, and that vocalisation patterns were not significantly impacted by the noise of the drone arriving or leaving a site. While scaled deployments of our technology would require further technical and regulatory challenges to be solved, our first demonstration of autonomous intermittent robotics-assisted ecoacoustic surveys lays the foundations for more cost-effective and far-reaching biodiversity surveys, with transformative potential for conservation, agricultural management, biosecurity, and more.

ecology↗

bioRxiv2026

Do higher-order moments improve inference of population dynamics?

Fitting mathematical models of population dynamics to microbial time-series data allows us to estimate the ecological processes and interactions taking place in the microbiome. Repeated experiments of microbial systems yield replicates which slightly differ from each other. Some of this variability arises due to the fact that births and deaths occur at random. Most prior work focuses on fitting a deterministic mathematical model to the average across replicates. We use a stochastic model to fit the variability to the observed variability across replicates. Using a simulation-driven approach, we study the conditions under which our approach allows us to infer a larger fraction of ecological parameters correctly. We observe a substantial improvement in parameter inference. Lastly, our Bayesian approach not only allows us to incorporate prior information about the system, but also provides a distribution of parameters which conveys some idea of the uncertainty of the estimates.

ecology↗