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  • Molecular Diversity Preservation International  (1)
  • National Academy of Sciences  (1)
  • 1
    Publication Date: 2016-02-16
    Description: Viruses are ecologically important, yet environmental virology is limited by dominance of unannotated genomic sequences representing taxonomic and functional “viral dark matter.” Although recent analytical advances are rapidly improving taxonomic annotations, identifying functional dark matter remains problematic. Here, we apply paired metaproteomics and dsDNA-targeted metagenomics to identify 1,875 virion-associated proteins from the ocean. Over one-half of these proteins were newly functionally annotated and represent abundant and widespread viral metagenome-derived protein clusters (PCs). One primarily unannotated PC dominated the dataset, but structural modeling and genomic context identified this PC as a previously unidentified capsid protein from multiple uncultivated tailed virus families. Furthermore, four of the five most abundant PCs in the metaproteome represent capsid proteins containing the HK97-like protein fold previously found in many viruses that infect all three domains of life. The dominance of these proteins within our dataset, as well as their global distribution throughout the world’s oceans and seas, supports prior hypotheses that this HK97-like protein fold is the most abundant biological structure on Earth. Together, these culture-independent analyses improve virion-associated protein annotations, facilitate the investigation of proteins within natural viral communities, and offer a high-throughput means of illuminating functional viral dark matter.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 2
    Publication Date: 2020-06-24
    Description: Bacterial viruses (phages) are amongst the smallest, most powerful biological entities on Earth. Through infection, phages impact host metabolism, bacterial mortality, and evolution. In the oceans, 20–40% of surface microbes are infected, with 1023 new infections each second. Yet, infections remain virtually uncharacterized, as the available phage isolates underrepresent the diversity of marine phage–host interactions. Additionally, while sequencing efforts reveal “who is there?”, a gap between sequence and function prevents answering “what are they doing?” and “how?”. We have developed new Bacteroidetes and Proteobacteria marine phage–host model systems with which to connect genomes, infection strategies, and functions using both traditional and genome-wide “-omics” experiments. We ask: How do infections by genomically divergent phages compare? Are there links between phage–host genomes and infection strategies? Our findings are as follows. In Bacteroidetes, a phage infecting two nearly identical strains (host38 and host18) under identical conditions is more fit and efficient on host38. By contrast, on host18, it is less fit and, except for phage transcription, it fails at efficiently mastering all stages of the infection: from adsorption through to cell lysis. In Proteobacteria, genomically unrelated podovirus and siphovirus phages infecting the same strain reprogram host metabolisms very differently. Namely, siphovirus-infected cells hardly differ from uninfected and mainly repress energy-consuming processes such as motility and translation. By contrast, podovirus-infected cells greatly differ from uninfected cells in transcription and in uniquely shifting central carbon and energy metabolism. Additionally, the siphovirus is more complementary to the host than the podovirus in %GC, amino acids, and codon usage. We found that phage–host genome complementarity may drive the resource demand and fitness of a phage: the phage most complementary to its host easily accesses intracellular resources, infects with little reprogramming, and accomplishes the largest fitness, which has not previously been shown. Together, this work helps to uncover infection efficiency strategies, and connect genomes with metabolisms in marine phage–host systems.
    Electronic ISSN: 2504-3900
    Topics: Technology
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