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Comstock, J.

Publications and source records attributed to Comstock, J..

2 recordsLinked to original sources

Viral infection impacts volatile organic compound production in the coccolithophore Gephyrocapsa huxleyi

Volatile Organic Compounds (VOCs) are a diverse collection of molecules critical to cell metabolism, food web interactions, and atmospheric chemistry. The eukaryotic coccolithophore Gephyrocapsa huxleyi, an abundant coastal eukaryotic phytoplankter, forms massive blooms in coastal upwelling regions, which are often terminated by viruses (EhVs). G. huxleyi produces organosulfur VOCs such as dimethyl sulfide (DMS) and halogenated metabolites that play key roles in atmospheric chemistry. Here we resolved the role of lytic viral infection by EhV207 on VOC production of the model strain G. huxleyi CCMP374. Our analysis identified 79 VOCs significantly impacted by viral infection, particularly during cell lysis, with sulfur containing VOCs like DMS dominating the profiles. Viral lysis results in a nearly six-fold increase in VOC production and generated a previously unrecognized range of VOCs, including 15 sulfur, 22 nitrogen, 2 phosphorus, 19 oxygen and 17 halogen-containing compounds. These findings reveal that viral infection of G. huxleyi releases VOCs which are much more diverse than previously recognized. We further show that EhV207 primarily accelerates existing metabolic processes in G. huxleyi and facilitates the release of pre-existing intracellular VOCs rather than inducing novel biochemical pathways. This wide range of VOCs may be produced on a massive scale during coccolithophore bloom-and-bust cycles, with important impacts on coastal biogeochemistry and surface ocean/atmosphere interactions.

microbiology↗

Cell behaviors underlying Myxococcus xanthus aggregate coarsening

The soil bacterium Myxococcus xanthus is a model organism with a set of diverse behaviors. These behaviors include the starvation-induced multicellular development program, in which cells move collectively to assemble multicellular aggregates. After initial aggregates have formed, some will disperse, with smaller aggregates having a higher chance of dispersal. Initial aggregation is driven by two changes in cell behavior: cells slow down inside of aggregates and bias their motion by reversing direction less frequently when moving towards aggregates. However, the cell behaviors that drive dispersal are unknown. Here we use fluorescent microscopy to quantify changes in cell behavior after initial aggregates have formed. We observe that after initial aggregate formation, cells adjust the bias in reversal timings by initiating reversals more rapidly when approaching unstable aggregates. Using agent-based modeling, we then show dispersal is predominantly generated by this change in bias, which is strong enough to overcome slowdown inside aggregates. Notably, the change in reversal bias is correlated with the nearest aggregates size, connecting cellular activity to previously observed correlations between aggregate size and fate. To determine if this connection is consistent across strains, we analyze a second M. xanthus strain with reduced levels of dispersal. We find that far fewer cells near smaller aggregates modified their bias. This implies that aggregate dispersal is under genetic control, providing a foundation for further investigations into the role it plays in the life cycle of M. xanthus. ImportanceUnderstanding the processes behind bacterial biofilm formation, maintenance, and dispersal is essential for addressing their effects on health and ecology. Within these multicellular communities, various cues can trigger differentiation into distinct cell types, allowing cells to adapt to their specific local environment. The soil bacterium Myxococcus xanthus forms biofilms in response to starvation, marked by cells aggregating into mounds. Some aggregates persist as spore-filled fruiting bodies, while others disperse after initial formation for unknown reasons. Here, we use a combination of cell tracking analysis and computational simulations to identify behaviors at the cellular level that contribute to aggregate dispersal. Our results suggest that cells in aggregates actively determine whether to disperse or persist and undergo a transition to sporulation based on a self-produced cue related to the aggregates size. Identifying these cues is an important step in understanding and potentially manipulating bacterial cell-fate decisions.

microbiology↗