Biology subjects

Parker, S. M.

Publications and source records attributed to Parker, S. M..

8 recordsLinked to original sources

bioRxiv2026

The distribution of particle-associated Prochlorococcus across the global oceans

The picocyanobacterium Prochlorococcus is a fundamental contributor to ocean primary productivity. While its free-living population has been extensively studied, primarily using flow cytometric analyses, the size and distribution of its particle-associated population is not well understood. Using filter fractionated samples from cruises in the Pacific Ocean, Atlantic Ocean, and Mediterranean Sea, we generated metagenomic data using internal standards, yielding absolute genome equivalent counts of Prochlorococcus cells in different size fractions. We used these data to model a relationship between relative and absolute genome equivalent counts, yielding a correction factor that we validated using published datasets. We then applied the correction factor to size-fractionated global metagenomic data from the TARA Oceans Project, which has widespread Prochlorococcus cells in size fractions >1.6 m throughout the transects, to calculate the fraction of the total Prochlorococcus population in large size fractions. The ''particle-associated'' population fraction increased with net primary productivity. Dissolved inorganic carbon was also directly correlated with increased particle association, which, combined with other evidence, could indicate an association with upwelling. We also examined the relationship between particle-associated population and carbon export at 150 m by incorporating published estimates of carbon flux based on TARA optical scattering data. This study highlights the potential importance of particle-associated Prochlorococcus to carbon flux in marine ecosystems and offers a way to convert relative to absolute genome equivalents of microorganisms in archival metagenomic datasets.

ecology↗

bioRxiv2025

The shared and distinct roles of Prochlorococcus and co-occurring heterotrophic bacteria in regulating community dynamics

Prochlorococcus is the worlds most abundant photosynthetic organism with over 1027 cells distributed across much of Earths oceans, and is collectively responsible for almost 10% of marine carbon fixation. Naturally co-occurring heterotrophic bacteria at roughly 105-106 cells mL-1 in the oceans have been shown to increase Prochlorococcus fitness and productivity. Despite this massive scale, our understanding of these globally important interactions remains limited, with past research largely focused on single Prochlorococcus-heterotroph pairings involving only a few species. In this study, we extend this perspective by using synthetic communities containing multiple diverse heterotrophic strains isolated from Prochlorococcus enrichment cultures. Specifically, we isolated the four most abundant co-occurring heterotroph species and examined both individual Prochlorococcus-heterotroph interactions and interactions within a synthetic community comprising Prochlorococcus and all four heterotrophs. Using absolute quantification of RNA, DNA, and cell counts over the course of Prochlorococcus growth curves, we find that Prochlorococcus has a modest, species-independent transcriptional response to heterotrophs, whereas each heterotroph displays a markedly different transcriptional response to the community and fulfills distinct metabolic roles. Transcriptional analyses reveal several potential crossfeeding interactions and indicate that community dynamics are influenced not only by metabolic activity but also antagonistic mechanisms, defense responses, and coordinated group behaviors. By pairing synthetic community approaches with absolute abundance measurements, we can gain deeper insight into the forces that shape microbial community assembly in the oceans and their role in driving the global carbon cycle.

microbiology↗

bioRxiv2025

Influence of heterotrophs on phage infection of marine picocyanobacteria

Picocyanobacteria Prochlorococcus and Synechococcus coexist with both their lytic phages and heterotrophic bacteria in the oceans. These lytic phages are a significant cause of mortality, and heterotrophic bacteria have been shown to increase the fitness of Prochlorococcus by reducing oxidative stress and cross feeding under extended darkness. Studies of Prochlorococcus-phage interactions are often done with xenic cultures as it has been historically difficult to obtain and maintain heterotroph-free cultures. Here we examine the effects of heterotrophic bacteria on phage infection in Prochlorococcus and Synechococcus by comparing phage infection dynamics in cultures with and without heterotrophs present. We found that Prochlorococcus populations resumed growth following infection only in the presence of heterotrophs, independent of phage:host or heterotroph:host ratios. In phage:host pairing with Synechococcus the outcomes varied, suggesting that the impact of heterotrophs on phage infection may be dependent on the phage:host interaction. In cases where the host recovered from phage infection, heterotrophs appeared to facilitate it both by mitigating oxidative stress and possibly supplying organic carbon sources, which may support post-infection growth. Furthermore, Prochlorococcus and Synechococcus populations that recovered from infection were resistant to phage infection when transferred to fresh media. Evidence argues against genetic change as the mechanism of resistance, suggesting that Prochlorococcus and Synechococcus populations in co-culture with heterotrophs undergo non-genetic adaptations during recovery from phage infection, likely driven by heterotroph-derived organic compounds that reshape host metabolism and confer protection against future lysis.

microbiology↗

bioRxiv2025

Biofilm formation and dynamics in the marine cyanobacterium Prochlorococcus

The picocyanobacterium Prochlorococcus is responsible for [~]10% of annual marine carbon fixation and plays a role in the global carbon budget. While these phototrophs are primarily considered free-living and neutrally buoyant in the euphotic zone, we observe that they can form biofilms on diverse substrates. This trait is conserved across Prochlorococcus ecotypes, and populations continuously transition between planktonic and biofilm states via a non-genetic heritable mechanism. Throughout their growth, cells in biofilms retain a reversible, dynamic attachment state, and measurements of growth, photosynthesis, and respiration rates reveal that cells in biofilms exude more organic carbon than their planktonic counterparts. Estimates of the fraction of Prochlorococcus cells attached to particles in the ocean reveal that a significant adherent population exists throughout the euphotic and mesopelagic zones. This work describes a new dimension of Prochlorococcuss ecological niche and suggests a role in carbon export to the deep sea.

ecology↗

bioRxiv2025

ProSynTaxDB: A curated protein database and workflow for taxonomic classification of Prochlorococcus and Synechococcus in metagenomes

Prochlorococcus and Synechococcus are abundant marine picocyanobacteria that contribute significantly to ocean primary production. Recent genome sequencing efforts, including those presented here, have yielded a large number of high-quality reference genomes, enabling the classification of these picocyanobacteria in marine metagenomic sequence data at high phylogenetic resolution. When combined with environmental data, these classifications can guide cluster/clade/grade assignments and offer insights into niche differentiation within these populations. Here we present ProSynTax, a curated protein sequence dataset and accompanying workflow aimed at enhancing the taxonomic resolution of Prochlorococcus and Synechococcus classification. ProSynTax includes proteins from 1,260 genomes of Prochlorococcus and Synechococcus, including single-amplified genomes, high-quality draft genomes, and newly closed genomes. Additionally, ProSynTax incorporates proteins from 41,753 genomes of marine heterotrophic bacteria, archaea, and viruses to assess microbial and viral communities surrounding Prochlorococcus and Synechococcus. This resource enables accurate classification of picocyanobacterial clusters/clades/grades in metagenomic data - even when present at 0.15% of reads for Prochlorococcus or 0.03% of reads for Synechococcus.

bioinformatics↗

bioRxiv2023

Analysis of intracellular transport dynamics using quantitative phase imaging and FRET-based calcium sensors

Understanding cellular responses to mechanical environmental stimuli is an essential goal of cellular mechanotransduction studies and remains a target for microscopy technique development. While fluorescence microscopy has been advanced for this purpose - its molecular sensitivity, the ability of quantitative phase imaging to visualize subcellular structure has yet to be widely applied, perhaps due to its limited specificity. Here we seek to combine Quantitative Phase Imaging (QPI) with a molecularly sensitive Forster resonance energy transfer (FRET) construct for cell mechanotransduction studies. The multimodal imaging instrument is applied to examine cellular response to hypo-osmotic stimulus by observing the influx of calcium ions using a FRET based sensor coupled with mapping of the redistribution of intracellular mass using QPI. The combined imaging modality enables discrimination of cell response by localized region and reveals distinct behavior for each. The analysis shows cell flattening and oscillatory mass transport in response to the stimulus. With the broad array of FRET sensors under development, the combination with QPI offers new avenues for studying cell response to environmental stimuli.

biophysics↗

bioRxiv2023

Guiding the design of well-powered Hi-C experiments to detect differential loops

3D chromatin structure plays an important role in gene regulation by connecting regulatory regions and gene promoters. The ability to detect the formation and loss of these loops in various cell types and conditions provides valuable information on the mechanisms driving these cell states and is critical for understanding how long-range gene regulation works. Hi-C is a powerful technique used to characterize three-dimensional chromatin structure; however, Hi-C can quickly become a costly and labor-intensive endeavor, and proper planning is required to determine how to best use time and resources while maintaining experimental rigor and well-powered results. To facilitate better planning and interpretation of Hi-C experiments, we have conducted a detailed evaluation of statistical power using publicly available Hi-C datasets paying particular attention to the impact of loop size on Hi-C contacts and fold change compression. In addition, we have developed Hi-C Poweraid, a publicly-hosted web application to investigate these findings (http://phanstiel-lab.med.unc.edu/poweraid/). For experiments involving well-replicated cell lines, we recommend a total sequencing depth of at least 6 billion contacts per condition, split between at least 2 replicates in order to achieve the power to detect the majority of differential loops. For experiments with higher variation, more replicates and deeper sequencing depths are required. Exact values and recommendations for specific cases can be determined through the use of Hi-C Poweraid. This tool simplifies the complexities behind calculating power for Hi-C data and will provide useful information on the amount of well-powered loops an experiment will be able to detect given a specific set of experimental parameters, such as sequencing depth, replicates, and the sizes of the loops of interest. This will allow for more efficient use of time and resources and more accurate interpretation of experimental results. HIGHLIGHTSO_LIDistance-dependent Hi-C contacts and fold change compression influence power C_LIO_LIIntegrative modeling of Hi-C power provides guidance for experimental design C_LIO_LIAn interactive web app aids the design of differential Hi-C experiments C_LI

bioinformatics↗

bioRxiv2021

Plotgardener: Cultivating precise multi-panel figures in R

The R programming language is one of the most widely used programming languages for transforming raw genomic data sets into meaningful biological conclusions through analysis and visualization, which has been largely facilitated by infrastructure and tools developed by the Bioconductor project. However, existing plotting packages rely on relative positioning and sizing of plots, which is often sufficient for exploratory analysis but is poorly suited for the creation of publication-quality multi-panel images inherent to scientific manuscript preparation. We present plotgardener, a coordinate-based genomic data visualization package that offers a new paradigm for multi-plot figure generation in R. Plotgardener allows precise, programmatic control over the placement, aesthetics, and arrangements of plots while maximizing user experience through fast and memory-efficient data access, support for a wide variety of data and file types, and tight integration with the Bioconductor environment. Plotgardener also allows precise placement and sizing of ggplot2 plots, making it an invaluable tool for R users and data scientists from virtually any discipline. AvailabilityPackage: https://bioconductor.org/packages/plotgardener Code: https://github.com/PhanstielLab/plotgardener Documentation: https://phanstiellab.github.io/plotgardener/

bioinformatics↗