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Ecology, Structure, and Evolution of Shigella Phages.

ABSTRACT: Numerous bacteriophages-viruses of bacteria, also known as phages-have been described for hundreds of bacterial species. The Gram-negative Shigella species are close relatives of Escherichia coli, yet relatively few previously described phages appear to exclusively infect this genus. Recent efforts to isolate Shigella phages have indicated these viruses are surprisingly abundant in the environment and have distinct genomic and structural properties. In addition, at least one model system used for experimental evolution studies has revealed a unique mechanism for developing faster infection cycles. Differences between these bacteriophages and other well-described model systems may mirror differences between their hosts' ecology and defense mechanisms. In this review, we discuss the history of Shigella phages and recent developments in their isolation and characterization and the structural information available for three model systems, Sf6, Sf14, and HRP29; we also provide an overview of potential selective pressures guiding both Shigella phage and host evolution.

SUBMITTER: Subramanian S

PROVIDER: S-EPMC7670969 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Ecology, Structure, and Evolution of Shigella Phages.

Subramanian Sundharraman S Parent Kristin N KN Doore Sarah M SM

Annual review of virology 20200511 1

Numerous bacteriophages-viruses of bacteria, also known as phages-have been described for hundreds of bacterial species. The Gram-negative Shigella species are close relatives of Escherichia coli, yet relatively few previously described phages appear to exclusively infect this genus. Recent efforts to isolate Shigella phages have indicated these viruses are surprisingly abundant in the environment and have distinct genomic and structural properties. In addition, at least one ...[more]

PMID: 32392456

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Project description:In 2016, Michigan experienced the largest outbreak of shigellosis, a type of bacillary dysentery caused by Shigella spp., since 1988. Following this outbreak, we isolated 16 novel Shigella-infecting bacteriophages (viruses that infect bacteria) from environmental water sources. Most well-known bacteriophages infect the common laboratory species Escherichia coli and Salmonella enterica, and these phages have built the foundation of molecular and bacteriophage biology. Until now, comparatively few bacteriophages were known to infect Shigella spp., which are close relatives of E. coli We present a comprehensive analysis of these phages' host ranges, genomes, and structures, revealing genome sizes and capsid properties that are shared by very few previously described phages. After sequencing, a majority of the Shigella phages were found to have genomes of an uncommon size, shared by only 2% of all reported phage genomes. To investigate the structural implications of this unusual genome size, we used cryo-electron microscopy to resolve their capsid structures. We determined that these bacteriophage capsids have similarly uncommon geometry. Only two other viruses with this capsid structure have been described. Since most well-known bacteriophages infect Escherichia or Salmonella, our understanding of bacteriophages has been limited to a subset of well-described systems. Continuing to isolate phages using nontraditional strains of bacteria can fill gaps that currently exist in bacteriophage biology. In addition, the prevalence of Shigella phages during a shigellosis outbreak may suggest a potential impact of human health epidemics on local microbial communities.IMPORTANCEShigella spp. bacteria are causative agents of dysentery and affect more than 164 million people worldwide every year. Despite the need to combat antibiotic-resistant Shigella strains, relatively few Shigella-infecting bacteriophages have been described. By specifically looking for Shigella-infecting phages, this work has identified new isolates that (i) may be useful to combat Shigella infections and (ii) fill gaps in our knowledge of bacteriophage biology. The rare qualities of these new isolates emphasize the importance of isolating phages on "nontraditional" laboratory strains of bacteria to more fully understand both the basic biology and diversity of bacteriophages.

Project description:Cancer therapy, even when highly targeted, typically fails because of the remarkable capacity of malignant cells to evolve effective adaptations. These evolutionary dynamics are both a cause and a consequence of cancer system heterogeneity at many scales, ranging from genetic properties of individual cells to large-scale imaging features. Tumors of the same organ and cell type can have remarkably diverse appearances in different patients. Furthermore, even within a single tumor, marked variations in imaging features, such as necrosis or contrast enhancement, are common. Similar spatial variations recently have been reported in genetic profiles. Radiologic heterogeneity within tumors is usually governed by variations in blood flow, whereas genetic heterogeneity is typically ascribed to random mutations. However, evolution within tumors, as in all living systems, is subject to Darwinian principles; thus, it is governed by predictable and reproducible interactions between environmental selection forces and cell phenotype (not genotype). This link between regional variations in environmental properties and cellular adaptive strategies may permit clinical imaging to be used to assess and monitor intratumoral evolution in individual patients. This approach is enabled by new methods that extract, report, and analyze quantitative, reproducible, and mineable clinical imaging data. However, most current quantitative metrics lack spatialness, expressing quantitative radiologic features as a single value for a region of interest encompassing the whole tumor. In contrast, spatially explicit image analysis recognizes that tumors are heterogeneous but not well mixed and defines regionally distinct habitats, some of which appear to harbor tumor populations that are more aggressive and less treatable than others. By identifying regional variations in key environmental selection forces and evidence of cellular adaptation, clinical imaging can enable us to define intratumoral Darwinian dynamics before and during therapy. Advances in image analysis will place clinical imaging in an increasingly central role in the development of evolution-based patient-specific cancer therapy.

Dataset Information

Ecology, Structure, and Evolution of Shigella Phages.

Publications

Ecology, Structure, and Evolution of <i>Shigella</i> Phages.

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