Publications by authors named "Natalie E Solonenko"

Viruses impact microbial systems through killing hosts, horizontal gene transfer, and altering cellular metabolism, consequently impacting nutrient cycles. A virus-infected cell, a "virocell," is distinct from its uninfected sister cell as the virus commandeers cellular machinery to produce viruses rather than replicate cells. Problematically, virocell responses to the nutrient-limited conditions that abound in nature are poorly understood.

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Background: Glacier ice archives information, including microbiology, that helps reveal paleoclimate histories and predict future climate change. Though glacier-ice microbes are studied using culture or amplicon approaches, more challenging metagenomic approaches, which provide access to functional, genome-resolved information and viruses, are under-utilized, partly due to low biomass and potential contamination.

Results: We expand existing clean sampling procedures using controlled artificial ice-core experiments and adapted previously established low-biomass metagenomic approaches to study glacier-ice viruses.

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Article Synopsis
  • - The Arctic regions are rapidly warming and still contain unique microbial habitats that help scientists study how microbes adapt to extreme conditions, particularly in cold and salty environments.
  • - A study analyzed viral communities in cryopeg brine, sea-ice brine, and melted sea ice, finding high viral abundance in cryopeg brine and a significant level of novelty among the viruses, with only 12% able to be categorized using traditional methods.
  • - The research revealed that viruses play crucial roles in these ecosystems by forming distinct communities, infecting key microbial hosts, and potentially aiding in microbial adaptation to cold and salty conditions, thus enhancing our understanding of the viral impact in extreme Arctic environments.
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We report here the genome sequences and morphological characterizations of phages p000v and p000y, which infect the bacterial pathogen Shiga-toxigenic Escherichia coli O157:H7 and which are potential candidates for phage therapy against such pathogens.

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Hemolytic⁻uremic syndrome is a life-threating disease most often associated with Shiga toxin-producing microorganisms like (STEC), including O157:H7. Shiga toxin is encoded by resident prophages present within this bacterium, and both its production and release depend on the induction of Shiga toxin-encoding prophages. Consequently, treatment of STEC infections tend to be largely supportive rather than antibacterial, in part due to concerns about exacerbating such prophage induction.

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Article Synopsis
  • Microorganisms trapped in glacier ice serve as a historical record of climate change and microbial responses, but studying them can be challenging due to contamination and low biomass.
  • Researchers used modern sequencing and decontamination techniques to analyze ancient ice samples from the Guliya ice cap, comparing them with controlled samples to identify contaminants.
  • The analysis revealed distinct microbial profiles at different depths in the ice core, indicating shifts in microbial communities linked to historical climate changes, and highlighted common genera found in previous studies of glacier ice, suggesting a broader distribution of these microorganisms.
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Phage-host interactions are critical to ecology, evolution, and biotechnology. Central to those is infection efficiency, which remains poorly understood, particularly in nature. Here we apply genome-wide transcriptomics and proteomics to investigate infection efficiency in nature's own experiment: two nearly identical (genetically and physiologically) Bacteroidetes bacterial strains (host18 and host38) that are genetically intractable, but environmentally important, where phage infection efficiency varies.

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Background: Viruses strongly influence microbial population dynamics and ecosystem functions. However, our ability to quantitatively evaluate those viral impacts is limited to the few cultivated viruses and double-stranded DNA (dsDNA) viral genomes captured in quantitative viral metagenomes (viromes). This leaves the ecology of non-dsDNA viruses nearly unknown, including single-stranded DNA (ssDNA) viruses that have been frequently observed in viromes, but not quantified due to amplification biases in sequencing library preparations (Multiple Displacement Amplification, Linker Amplification or Tagmentation).

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Bacteria impact humans, industry and nature, but do so under viral constraints. Problematically, knowledge of viral infection efficiencies and outcomes derives from few model systems that over-represent efficient lytic infections and under-represent virus-host natural diversity. Here we sought to understand infection efficiency regulation in an emerging environmental Bacteroidetes-virus model system with markedly different outcomes on two genetically and physiologically nearly identical host strains.

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