EcoSal Plus最新文献

In the late 1950s, a number of laboratories took up the study of plasmids once the discovery was made that extrachromosomal antibiotic resistance (R) factors are the responsible agents for the transmissibility of multiple antibiotic resistance among the enterobacteria. The use of incompatibility for the classification of plasmids is now widespread. It seems clear now on the basis of the limited studies to date that the number of incompatibility groups of plasmids will likely be extremely large when one includes plasmids obtained from bacteria that are normal inhabitants of poorly studied natural environments. The presence of both linear chromosomes and linear plasmids is now established for several Streptomyces species. One of the more fascinating developments in plasmid biology was the discovery of linear plasmids in the 1980s. A remarkable feature of the Ti plasmids of Agrobacterium tumefaciens is the presence of two DNA transfer systems. A definitive demonstration that plasmids consisted of duplex DNA came from interspecies conjugal transfer of plasmids followed by separation of plasmid DNA from chromosomal DNA by equilibrium buoyant density centrifugation. The formation of channels for DNA movement and the actual steps involved in DNA transport offer many opportunities for the discovery of proteins with novel activities and for establishing fundamentally new concepts of macromolecular interactions between DNA and specific proteins, membranes, and the peptidoglycan matrix.

Advances in technologies that permit high-resolution analysis of events in single cells have revealed that phenotypic heterogeneity is a widespread phenomenon in bacteria. Flow cytometry has the potential to describe the distribution of cellular properties within a population of bacterial cells and has yielded invaluable information about the ability of isogenic cells to diversify into phenotypic subpopulations. This review will discuss several single-cell approaches that have recently been applied to define phenotypic heterogeneity in populations of Salmonella enterica.

Very few labs have had the good fortune to have been able to focus for more than 50 years on a relatively narrow research topic and to be in a field in which both basic knowledge and the research technology and methods have progressed as rapidly as they have in molecular biology. My research group, first at Brandeis University and then at Johns Hopkins University, has had this opportunity. In this review, therefore, I will describe largely the work from my laboratory that has spanned this period and which was carried out by 40 plus graduate students, several postdoctoral associates, my technician, and me. In addition to presenting the scientific findings or results, I will place many of the topics in scientific context and, because we needed to develop a good many of the experimental methods behind our findings, I will also describe some of these methods and their importance. Also included will be occasional comments on how the research community or my research group functioned. Because a wide variety of approaches were used throughout our work, no ideal organization of this review is apparent. Therefore, I have chosen to use a hybrid structure in which there are six sections. Within each of the sections, experiments and findings will be described roughly in chronological order. Frequent cross references between parts and sections will be made because some findings and experimental approaches could logically have been described in more than one place.

The DNA in bacterial viruses collectively contains a rich, yet relatively underexplored, chemical diversity of nucleobases beyond the canonical adenine, guanine, cytosine, and thymine. Herein, we review what is known about the genetic and biochemical basis for the biosynthesis of complex DNA modifications, also called DNA hypermodifications, in the DNA of tailed bacteriophages infecting Escherichia coli and Salmonella enterica. These modifications, and their diversification, likely arose out of the evolutionary arms race between bacteriophages and their cellular hosts. Despite their apparent diversity in chemical structure, the syntheses of various hypermodified bases share some common themes. Hypermodifications form through virus-directed synthesis of noncanonical deoxyribonucleotide triphosphates, direct modification DNA, or a combination of both. Hypermodification enzymes are often encoded in modular operons reminiscent of biosynthetic gene clusters observed in natural product biosynthesis. The study of phage-hypermodified DNA provides an exciting opportunity to expand what is known about the enzyme-catalyzed chemistry of nucleic acids and will yield new tools for the manipulation and interrogation of DNA.

Decades of research, much of it in Escherichia coli, have yielded a wealth of insight into bacterial cell division. Here, we provide an overview of the E. coli division machinery with an emphasis on recent findings. We begin with a short historical perspective into the discovery of FtsZ, the tubulin homolog that is essential for division in bacteria and archaea. We then discuss assembly of the divisome, an FtsZ-dependent multiprotein platform, at the midcell septal site. Not simply a scaffold, the dynamic properties of polymeric FtsZ ensure the efficient and uniform synthesis of septal peptidoglycan. Next, we describe the remodeling of the cell wall, invagination of the cell envelope, and disassembly of the division apparatus culminating in scission of the mother cell into two daughter cells. We conclude this review by highlighting some of the open questions in the cell division field, emphasizing that much remains to be discovered, even in an organism as extensively studied as E. coli.

The species Salmonella enterica comprises over 2,600 serovars, many of which are known to be intracellular pathogens of mammals, birds, and reptiles. It is now apparent that Salmonella is a highly adapted environmental microbe and can readily persist in a number of environmental niches, including water, soil, and various plant (including produce) species. Much of what is known about the evolution and diversity of nontyphoidal Salmonella serovars (NTS) in the environment is the result of the rise of the genomics era in enteric microbiology. There are over 340,000 Salmonella genomes available in public databases. This extraordinary breadth of genomic diversity now available for the species, coupled with widespread availability and affordability of whole-genome sequencing (WGS) instrumentation, has transformed the way in which we detect, differentiate, and characterize Salmonella enterica strains in a timely way. Not only have WGS data afforded a detailed and global examination of the molecular epidemiological movement of Salmonella from diverse environmental reservoirs into human and animal hosts, but they have also allowed considerable consolidation of the diagnostic effort required to test for various phenotypes important to the characterization of Salmonella. For example, drug resistance, serovar, virulence determinants, and other genome-based attributes can all be discerned using a genome sequence. Finally, genomic analysis, in conjunction with functional and phenotypic approaches, is beginning to provide new insights into the precise adaptive changes that permit persistence of NTS in so many diverse and challenging environmental niches.

The Escherichia coli whole-cell modeling project seeks to create the most detailed computational model of an E. coli cell in order to better understand and predict the behavior of this model organism. Details about the approach, framework, and current version of the model are discussed. Currently, the model includes the functions of 43% of characterized genes, with ongoing efforts to include additional data and mechanisms. As additional information is incorporated in the model, its utility and predictive power will continue to increase, which means that discovery efforts can be accelerated by community involvement in the generation and inclusion of data. This project will be an invaluable resource to the E. coli community that could be used to verify expected physiological behavior, to predict new outcomes and testable hypotheses for more efficient experimental design iterations, and to evaluate heterogeneous data sets in the context of each other through deep curation.