Goes, J. | bioRxiv Science

bioRxiv2026

Cell-scale autonomous CMOS motes for intracellular bioelectronics

Integrating autonomous electronics within single cells has remained beyond the reach of modern bioelectronics. Miniaturization at this scale could transform our ability to study and actuate biological processes at the cellular level, complementing existing molecular and fluorescent approaches. As these devices approach the sub-100-{micro}m length scale, volumetric constraints demand fundamentally new approaches to power delivery and telemetry. Here, we report an optically powered 10-picoliter complementary metal oxide semiconductor (CMOS) mote that operates with a power density of 1 pW/pL, comparable to the metabolic rate of cellular systems. These fully CMOS motes can be manufactured at scale yielding 1000 motes from a 4-mm2 silicon die. Multiple motes can be simultaneously powered and interrogated within a single optical field of view using epifluorescence microscopy. We demonstrate intracellular implantation of these motes within the single-celled mixotrophic dinoflagellate Noctiluca scintillans with negligible cytoplasmic displacement, pushing the boundaries of active CMOS bioelectronics to the intracellular domain and establishing a next-generation of truly cell-scale bioelectronic interfaces TeaserA 10-pL autonomous CMOS mote with fluorescence-based backscatter communication enables cell-scale sensing.

bioengineering↗

bioRxiv2025

Phytoplankton community structure and photophysiological strategies in the oligotrophic Indian Ocean spawning ground of Southern Bluefin Tuna

The Argo Basin, a persistently oligotrophic seascape downstream of the Indonesian Throughflow (ITF), is the only known spawning ground of Southern Bluefin Tuna (Thunnus maccoyii). Its surface waters are capped by the warm, low saline, nitrate-depleted Pacific Ocean outflow, that leads to intense water-column stratification and chronic nutrient scarcity. During the BLOOFINZ campaign (R/V Roger Revelle, January-March 2022), we combined high-resolution underway surveys with Lagrangian experiments to examine hydrography, nutrient stoichiometry, and phytoplankton photophysiology across the basin. This study was motivated by the need to: 1) identify the phytoplankton communities capable of persisting in this nutrient-impoverished region, and 2) uncover the unique photophysiological traits that underpin their survival and growth, particularly under acute nitrate limitation. Nutrient fields revealed strongly negative N*, positive Si*, and elevated Si:P ratios, indicating a system of acute nitrate scarcity but with residual phosphate and latent silicate availability. Phytoplankton communities were dominated by the cyanobacteria, Prochlorococcus, whose survival strategies included small functional absorption cross section of PSII ({sigma}PSII), enhanced PSII connectivity (p), highly elastic and reversible diel photophysiology that balanced high-light stress and nitrogen scarcity. Longer turnover times especially {tau}2 ({micro}s; PSII-PSI electron transport) seen in the region around 115{degrees} and 120{degrees}E and at 15{degrees}S, and during Cycles 3 and 4 are indicative of populations that were being stressed by Fe limitation as well. Our inference of Prochlorococcus is supported by complimentary measurements of flow cytometry, phytoplankton pigment composition and microscopy all of which confirmed the dominance of Prochlorococcus in these nutrient impoverished waters. Our observations further indicate that mesoscale eddies generated by ITF-SICC (South Indian Counter Current) interactions, can episodically shoal the nutricline, triggering transient pulses of larger eukaryotes. Collectively, these results demonstrate how acute nitrate depletion, compounded by Fe stress, structures a microbial community finely tuned to oligotrophy and capable of sustaining a short food chain involving appendicularians that directly support larval tuna. The Argo Basin therefore exemplifies how circulation-nutrient coupling shapes microbial communities and ecosystem function within a globally significant spawning habitat. Highlights1) Chronic nitrate limitation, with strongly negative N* and persistent N:P imbalance defines the Argo Basin while phosphate and silicate remain in relative excess. 2) Picocyanobacteria especially Prochlorococcus dominate the ecosystem, sustaining productivity under extreme oligotrophy through photophysiological strategies of reduced {sigma}PSII, enhanced PSII connectivity, and diel recovery from light stress. 3) Mesoscale eddies at the ITF-SICC front provide episodic relief, shoaling the nutricline and fueling transient pulses of larger phytoplankton that episodically reshape phytoplankton community structure and biomass 4) This oligotrophic-frontal seascape supports a short, efficient food web, enabling transfer of picophytoplankton to Southern Bluefin Tuna larvae via mainly appendicularians.

ecology↗

bioRxiv2018

Robust Algorithms for Capturing Population Dynamics and Transport in Oceanic Variables along Drifter Trajectories using Linear Dynamical Systems with Latent Variables

The blooms of Noctiluca in the Gulf of Oman and the Arabian Sea have been intensifying in recent years posing a threat to regional fisheries and the long-term health of an ecosystem supporting a coastal population of nearly 120 million people. We present the results of a microscopic data analysis to investigate the onset and patterns of the Noctiluca (mixotrophic dinoflagellate Noctiluca scintillans) blooms, which form annually during the winter monsoon in the Gulf of Oman and in the Arabian Sea. Our approach combines methods in physical and biological oceanography with machine learning techniques. In particular, we present a robust algorithm, the variable-length Linear Dynamic Systems (vLDS) model, that extracts the causal factors and latent dynamics at the microscopic population-level along each individual drifter trajectory, and demonstrate its effectiveness by using it to test and confirm previously benchmarked macroscopic scientific hypotheses. The test results provide microscopic statistical evidence to support and recheck the macroscopic physical and biological Oceanography hypotheses on the Noctiluca blooms; it also helps identify complementary microscopic dynamics that might not be visible or discoverable at the macroscopic scale. The vLDS model also exhibits a generalization capability (inherited from a machine learning methodology) to investigate important causal factors and hidden dynamics associated with ocean biogeochemical processes and phenomena at the population-level.

ecology↗