Biology subjects

Poulton, N.

Publications and source records attributed to Poulton, N..

3 recordsLinked to original sources

bioRxiv2026

Single-cell-resolved frequency and modes of phage interactions with prokaryoplankton in the tropical surface ocean

Marine planktonic viruses play critical roles in shaping microbial communities and driving global biogeochemical cycles. However, quantitative, microbiome-wide analyses of marine prokaryoplankton-virus interactions in situ and their ecological impacts remain challenging due to the vast diversity of viral genomes and interaction modes and the limitations of existing methodologies. Here, we utilized GORG-Tropics, a global collection of 12,715 single amplified genomes (SAGs) generated from randomly sampled marine prokaryoplankton cells, to determine the frequency and modes of their interactions with viruses in the tropical surface ocean. We found 4.2% (range 1%-19% among samples) of GORG-Tropics SAGs to contain phage genomic material, with the highest frequency found in productive ocean regions. Prokaryoplankton lineages known to have high metabolic rates, including Prochlorococcus and Rhodobacterales, had a substantially larger fraction of cells associated with viruses (10-12% of SAGs) as compared to the less active but highly abundant lineages including Pelagibacterales (2.2% of SAGs). Cell-virus associations indicative of lysogeny were elevated in Alphaproteobacteria relative to other taxa. The collection of phages recovered from individual SAGs exhibited genomic diversity that bridged order-level taxonomies, indicating high diversity and genomic connectivity within wild phage populations. A substantial fraction of the observed cell-virus associations disagreed with the computationally predicted host identity of the virus, indicative of non-infective interactions. The extent of genetic exchange across tailed bacteriophages infecting different hosts, and connected to taxonomically distant phages provided further evidence for the role of non-infective phage entry in the lateral transfer between tailed phages. This study provides large-scale quantitative evidence of viral infection rates in the collective prokaryoplankton community across the global surface tropical ocean through large-scale identification and quantification of the specific phages, hosts, and modes of interaction at the resolution of individual cells. Our results confirm prior reports on the overall frequency of prokaryoplankton infections with viruses in the oligotrophic tropical surface ocean. Our findings uncover non-infective phage-cell associations that may be contributing to the lateral transfer of viral genes and the nutrition of marine prokaryoplankton.

microbiology↗

bioRxiv2022

Global observation of plankton communities from space

Satellite remote sensing from space is a powerful way to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here we present an approach to identify representative communities from a global plankton network that included both zooplankton and phytoplankton and using global satellite observations to predict their biogeography. Six representative plankton communities were identified from a global co-occurrence network inferred using a novel rDNA 18S V4 planetary-scale eukaryotic metabarcoding dataset. Machine learning techniques were then applied to train a model that predicted these representative communities from satellite data. The model showed an overall 67% accuracy in the prediction of the representative communities. The prediction based on 17 satellite-derived parameters showed better performance than based only on temperature and/or the concentration of chlorophyll a. The trained model allowed to predict the global spatiotemporal distribution of communities over 19-years. Our model exhibited strong seasonal changes in the community compositions in the subarctic-subtropical boundary regions, which were consistent with previous field observations. This network-oriented approach can easily be extended to more comprehensive models including prokaryotes as well as viruses.

ecology↗

bioRxiv2017

Solagigasbacteria: Lone genomic giants among the uncultured bacterial phyla

Recent advances in single-cell genomic and metagenomic techniques have facilitated the discovery of numerous previously unknown, deep branches of the tree of life that lack cultured representatives. Many of these candidate phyla are composed of microorganisms with minimalistic, streamlined genomes lacking some core metabolic pathways, which may contribute to their resistance to growth in pure culture. Here we analyzed single-cell genomes and metagenome bins to show that the \"Candidate phylum SPAM\" represents an interesting exception, by having large genomes (6-8 Mbps), high GC content (66%-71%), and the potential for a versatile, mixotrophic metabolism. We also observed an unusually high genomic heterogeneity among individual SPAM cells in the studied samples. These features may have contributed to the limited recovery of sequences of this candidate phylum in prior metagenomic studies. Based on these observations, we propose renaming SPAM to \"Candidate phylum Solagigasbacteria\". Current evidence suggests that Solagigasbacteria are distributed globally in diverse terrestrial ecosystems, including soils, the rhizosphere, volcanic mud, oil wells, aquifers and the deep subsurface, with no reports from marine environments to date.

microbiology↗