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Liesegang, H.

Publications and source records attributed to Liesegang, H..

5 recordsLinked to original sources

COMPLETE GENOME SEQUENCE OF VIBRIO SYNGNATHI SP. NOV., A FISH PATHOGEN, ISOLATED FROM THE KIEL FJORD

A new Vibrio strain K08M4T was isolated from the broad-nosed pipefish Syngnathus typhle in the Kiel Fjord. Infection experiments revealed that K08M4T is highly virulent for juvenile pipefish. Cells of strain K08M4T are Gram-stain-negative, curved rod-shaped and motile by means of a single polar flagellum. The strain can grow aerobically at 9 to 40{degrees}C, at pH 4 to 10.5 and tolerates up to 12% (w/v) NaCl. The most prevalent (> 10%) cellular fatty acids of K08M4T were C16:1{omega} 7c and C16:0. Whole-genome comparisons revealed that K08M4T represents a separate evolutionary lineage which is distinct from other Vibrio species and falls within the Vibrio Splendidus clade. The genome is 4,886,292 bp in size, consists of two circular chromosomes (3,298,328 bp, 1,587,964 bp), and comprises 4,178 protein-coding genes and 175 RNA genes. In this study, we describe the phenotypic features of the new isolate and present the annotation and analysis of its complete genome sequence. Based on these data, the new isolate represents a new species for which we propose the name Vibrio syngnathi. The type strain is K08M4T (=DSM 109818T). Supplementary materialOne supplementary figure and six supplementary table are available with the online version of the Manuscript.

microbiology↗

SUB-OPTIMAL ENVIRONMENTAL CONDITIONS PROLONG PHAGE EPIDEMICS IN BACTERIAL POPULATIONS

Infections by filamentous phages influence bacterial fitness in various ways. While phage-encoded accessory genes, e.g., virulence genes, can be highly beneficial, the production of viral particles is energetically costly and often reduces bacterial growth. Consequently, if costs outweigh benefits, bacteria evolve resistance which can shorten phage epidemics. Abiotic conditions are known to influence the net-fitness effect for infected bacteria. Their impact on the dynamics and trajectories of host resistance evolution, however, remains yet unknown. To address this, we experimentally evolved the bacterium Vibrio alginolyticus in the presence of a filamentous phage at three different salinity levels, i.e., (1) ambient (2) 50% reduction, and (3) fluctuations between reduced and ambient. In all three salinities, bacteria rapidly acquired resistance through super infection exclusion (SIE), whereby phage-infected cells acquired immunity at the cost of reduced growth. Over time, SIE was gradually replaced by evolutionary fitter surface receptor mutants (SRM). This replacement was significantly faster at ambient and fluctuating conditions compared to the low saline environment. Our experimentally parameterized mathematical model explains that suboptimal environmental conditions, in which bacterial growth is slower, slow down phage resistance evolution ultimately prolonging phage epidemics. Our results imply that, if filamentous phages encode virulence genes, these may persist longer in bacterial populations at sub-optimal environmental conditions, which, in times of climate change, are becoming more frequent. Thus, our future ocean may favour the emergence of phage-born pathogenic bacteria, and impose a greater risk for disease outbreaks, impacting not only marine animals but also humans.

evolutionary biology↗

HIGH VIRULENCE SELECTS FOR FAST HOST RESISTANCE EVOLUTION

Parasites and pathogens vary strikingly in their virulence and the resulting selection they impose on their hosts. While the evolution of different virulence levels is well studied, the evolution of host resistance in response to different virulence levels is less understood and as of now mainly based on observations and theoretical predictions with few experimental tests. Increased virulence can increase selection for host resistance evolution if resistance costs are outweighed by the benefits of avoiding infection. To test this, we experimentally evolved the bacterium Vibrio alginolyticus in the presence of two variants of the filamentous phage, VALG{Phi}8, that differ in their virulence. The bacterial host exhibited two alternative defence strategies against future phage infection: (1) super infection exclusion (SIE) whereby phage-infected cells were immune to subsequent infection at a cost of reduced growth, and (2) surface receptor mutations (SRM) in genes encoding the MSHA type-IV pilus providing resistance to infection by preventing phage attachment. While SIE emerged rapidly against both phages, SRM evolved faster against the high virulence compared to the low virulence phage. Using a mathematical model of our system we show that increasing virulence strengthens selection for SRM due to the higher costs of infection suffered by SIE immune hosts. In both the experiments and the model, higher levels of SRM in the host population drove more rapid phage extinction. Thus, by accelerating the evolution of host resistance, more virulent phages caused shorter epidemics.

evolutionary biology↗

Closely related Vibrio alginolyticus strains encode an identical repertoire of prophages and filamentous phages

Filamentous vibriophages represent a massive repertoire of virulence factors which can be transferred across species boundaries, leading to the emergence of deadly pathogens. All filamentous vibriophages that were characterized until today were isolated from human pathogens. Considering frequent horizontal gene transfer among vibrios, we predict that other environmental isolates, including non-human pathogens also carry filamentous phages, of which some may encode virulence factors. The aim of this study was to characterize the phage repertoire, consisting of prophages and filamentous phages, of a marine pathogen, Vibrio alginolyticus. To do so, we sequenced eight different V. alginolyticus strains, isolated from different pipefish and characterised their phage repertoire using a combination of morphological analyses and comparative genomics. We were able to identify a total of five novel phage regions (three different Caudovirales and two different Inoviridae), whereby only those two loci predicted to correspond to filamentous phages (family Inoviridae) represent actively replicating phages. Unique for this study was that all eight host strains, which were isolated from different eukaryotic hosts have identical bacteriophages, suggesting a clonal expansion of this strain after the phages had been acquired by a common ancestor. We further found that co-occurrence of two different filamentous phages leads to within-host competition resulting in reduced phage replication by one of the two phages. One of the two filamentous phages encoded two virulence genes (Ace and Zot), homologous to those encoded on the V. cholerae phage CTX{Phi}. The coverage of these zot-encoding phages correlated positively with virulence (measured in controlled infection experiments on the eukaryotic host), suggesting that this phages is an important virulence determinant. Impact statementMany bacteria of the genus Vibrio, such as V. cholerae or V. parahaemolyticus impose a strong threat to human health. Often, small viruses, known as filamentous phages encode virulence genes. Upon infecting a bacterial cell, these phages can transform a previously harmless bacterium into a deadly pathogen. While filamentous phages and their virulence factors are well-characterized for human pathogenic vibrios, filamentous phages of marine vibrios, pathogenic for a wide range of marine organisms, are predicted to carry virulence factors, but have so far not been characterized in depth. Using whole genome sequencing and comparative genomics of phages isolated from a marine fish pathogen V. alginolyticus, we show that also environmental strains harbour filamentous phages that carry virulence genes. These phages were most likely acquired from other vibrios by a process known as horizontal gene transfer. We found that these phages are identical across eight different pathogenic V. alginolyticus strains, suggesting that they have been acquired by a common ancestor before a clonal expansion of this ecotype took place. The phages characterized in this study have not been described before and are unique for the Kiel V. alginolyticus ecotype. Data SummaryO_LIThe GenBank accession numbers for all genomic sequence data analysed in the present study can be found in Table S1. C_LIO_LIAll phage regions identified by PHASTER analysis of each chromosome and the respective coverage of active phage loci are listed in Table S2. C_LIO_LIGenBank files were deposited at NCBI for the two actively replicating filamentous phages VALG{Phi}6 (Accession number: MN719123) and VALG{Phi}8 (Accession number: MN690600) C_LIO_LIThe virulence data from the infection experiments have been deposited at PANGAEA: Accession number will be provided upon acceptance of the manuscript. C_LI Data statementAll supporting data have been provided within the article or through supplementary data files. Four supplementary tables and six supplementary figures are available with the online version of this article.

microbiology↗

ClassiPhages 2.0: Sequence-based classification of phages using Artificial Neural Networks

Background/ MotivationIn the era of affordable next generation sequencing technologies we are facing an exploding amount of new phage genome sequences. This requests high throughput phage classification tools that meet the standards of the International Committee on Taxonomy of Viruses (ICTV). However, an accurate prediction of phage taxonomic classification derived from phage sequences still poses a challenge due to the lack of performant taxonomic markers. Since machine learning methods have proved to be efficient for the classification of biological data we investigated how artificial neural networks perform on the task of phage taxonomy. ResultsIn this work, 5,920 constructed and refined profile Hidden Markov Models (HMMs), derived from 8,721 phage sequences classified into 12 well known phage families, were used to scan phage proteome datasets. The resulting Phage Family-proteome to Phage-derived-HMMs scoring matrix was used to develop and train an Artificial Neural Network (ANN) to find patterns for phage classification into one of the phage families. Results show that using the 100 fold cross-validation test, the proposed method achieved an overall accuracy of 84.18 %. The ANN was tested on a set of unclassified phages and resulted in a taxonomic prediction. The ANN prediction was benchmarked against the prediction resulting of multi-HMM hits, and showed that the ANN performance is dependent on the quality of the input matrix. ConclusionsWe believe that, as long as some phage families on public databases are underrepresented, multi-HMM hits can be used as a classification method to populate those phage families, which in turn will improve the performance and accuracy of the ANN. We believe that the proposed method is an effective and promising method for phage classification. The good performance of the ANN and HMM based predictor indicates the efficiency of the method for phage classification, where we foresee its improvement with an increasing number of sequenced viral genomes.

bioinformatics↗