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Asset Tag: Human Biomedical Research,

July 7, 2019

Heterogeneity of the Epstein-Barr virus major internal repeat reveals evolutionary mechanisms of EBV and a functional defect in the prototype EBV strain B95-8.

Epstein-Barr virus (EBV) is a ubiquitous pathogen of humans that can cause several types of lymphoma and carcinoma. Like other herpesviruses, EBV has diversified both through co-evolution with its host, and genetic exchange between virus strains. Sequence analysis of the EBV genome is unusually challenging, because of the large number and length of repeat regions within the virus. Here we describe the sequence assembly and analysis of the large internal repeat of EBV (IR1 or BamW repeats) from over 70 strains.Diversity of the latency protein EBNA-LP resides predominantly within the exons downstream of IR1. The integrity of the putative BWRF1 ORF is retained in over 80% of strains, and deletions truncating IR1 always spare BWRF1. Conserved regions include the IR1 latency promoter (Wp), and one zone upstream of and two within BWRF1.IR1 is heterogeneous in 70% of strains, and this heterogeneity arises from sequence exchange between strains as well as spontaneous mutation, with inter-strain recombination more common in tumour-derived viruses. This genetic exchange often incorporates regions of <1kb, and allelic gene conversion changes the frequency of small regions within the repeat, but not close to the flanks. These observations suggest that IR1 - and by extension EBV - diversifies through both recombination and breakpoint repair, while concerted evolution of IR1 is driven by gene conversion of small regions. Finally, the prototype EBV strain B95-8 contains four non-consensus variants within a single IR1 repeat unit, including a STOP codon in EBNA-LP. Repairing IR1 improves EBNA-LP levels and the quality of transformation by the B95-8 BAC.IMPORTANCE Epstein-Barr virus (EBV) infects the majority of the world population, but only causes illness in a small minority. Nevertheless, over 1% of cancers worldwide are attributable to EBV. Recent sequencing projects investigating virus diversity, to see if different strains have different disease impacts, have excluded regions of repeating sequence, as they are more technically challenging. Here we analyse the sequence of the largest repeat in EBV (IR1). We first characterised the variations in protein sequences encoded across IR1. In studying variations within the repeat of each strain, we identified a mutation in the main laboratory strain of EBV that impairs virus function, and suggest that tumour-associated viruses may be more likely to contain DNA mixed from two strains. Patterns of this mixing suggest that sequences can spread between strains (and also within the repeat) by copying sequence from another strain (or repeat unit) to repair DNA damage. Copyright © 2017 Ba abdullah et al.

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July 7, 2019

Parallel evolution of group B Streptococcus hypervirulent clonal complex 17 unveils new pathoadaptive mutations.

Group B Streptococcus (GBS) is a commensal of the gastrointestinal and genitourinary tracts, while a prevailing cause of neonatal disease worldwide. Of the various clonal complexes (CCs), CC17 is overrepresented in GBS-infected newborns for reasons that are still largely unknown. Here, we report a comprehensive genomic analysis of 626 CC17 isolates collected worldwide, identifying the genetic traits behind their successful adaptation to humans and the underlying differences between carriage and clinical strains. Comparative analysis with 923 GBS genomes belonging to CC1, CC19, and CC23 revealed that the evolution of CC17 is distinct from that of other human-adapted lineages and recurrently targets functions related to nucleotide and amino acid metabolism, cell adhesion, regulation, and immune evasion. We show that the most distinctive features of disease-specific CC17 isolates were frequent mutations in the virulence-associated CovS and Stk1 kinases, underscoring the crucial role of the entire CovRS regulatory pathway in modulating the pathogenicity of GBS. Importantly, parallel and convergent evolution of major components of the bacterial cell envelope, such as the capsule biosynthesis operon, the pilus, and Rib, reflects adaptation to host immune pressures and should be taken into account in the ongoing development of a GBS vaccine. The presence of recurrent targets of evolution not previously implicated in virulence also opens the way for uncovering new functions involved in host colonization and GBS pathogenesis. IMPORTANCE The incidence of group B Streptococcus (GBS) neonatal disease continues to be a significant cause of concern worldwide. Strains belonging to clonal complex 17 (CC17) are the most frequently responsible for GBS infections in neonates, especially among late-onset disease cases. Therefore, we undertook the largest genomic study of GBS CC17 strains to date to decipher the genetic bases of their remarkable colonization and infection ability. We show that crucial functions involved in different steps of the colonization or infection process of GBS are distinctly mutated during the adaptation of CC17 to the human host. In particular, our results implicate the CovRS two-component regulator of virulence in the differentiation between carriage- and disease-associated isolates. Not only does this work raise important implications for the ongoing development of a vaccine against GBS but might also drive the discovery of key functions for GBS adaptation and pathogenesis that have been overlooked until now. Author Video: An author video summary of this article is available.

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July 7, 2019

Bacteriophages are the major drivers of Shigella flexneri serotype 1c genome plasticity: a complete genome analysis.

Shigella flexneri is the primary cause of bacillary dysentery in the developing countries. S. flexneri serotype 1c is a novel serotype, which is found to be endemic in many developing countries, but little is known about its genomic architecture and virulence signatures. We have sequenced for the first time, the complete genome of S. flexneri serotype 1c strain Y394, to provide insights into its diversity and evolution.We generated a high-quality reference genome of S. flexneri serotype 1c using the hybrid methods of long-read single-molecule real-time (SMRT) sequencing technology and short-read MiSeq (Illumina) sequencing technology. The Y394 chromosome is 4.58 Mb in size and shares the basic genomic features with other S. flexneri complete genomes. However, it possesses unique and highly modified O-antigen structure comprising of three distinct O-antigen modifying gene clusters that potentially came from three different bacteriophages. It also possesses a large number of hypothetical unique genes compared to other S. flexneri genomes.Despite a high level of structural and functional similarities of Y394 genome with other S. flexneri genomes, there are marked differences in the pathogenic islands. The diversity in the pathogenic islands suggests that these bacterial pathogens are well adapted to respond to the selection pressures during their evolution, which might contribute to the differences in their virulence potential.

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July 7, 2019

XCAVATOR: accurate detection and genotyping of copy number variants from second and third generation whole-genome sequencing experiments.

We developed a novel software package, XCAVATOR, for the identification of genomic regions involved in copy number variants/alterations (CNVs/CNAs) from short and long reads whole-genome sequencing experiments.By using simulated and real datasets we showed that our tool, based on read count approach, is capable to predict the boundaries and the absolute number of DNA copies CNVs/CNAs with high resolutions. To demonstrate the power of our software we applied it to the analysis Illumina and Pacific Bioscencies data and we compared its performance to other ten state of the art tools.All the analyses we performed demonstrate that XCAVATOR is capable to detect germline and somatic CNVs/CNAs outperforming all the other tools we compared. XCAVATOR is freely available at http://sourceforge.net/projects/xcavator/ .

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July 7, 2019

SVachra: a tool to identify genomic structural variation in mate pair sequencing data containing inward and outward facing reads.

Characterization of genomic structural variation (SV) is essential to expanding the research and clinical applications of genome sequencing. Reliance upon short DNA fragment paired end sequencing has yielded a wealth of single nucleotide variants and internal sequencing read insertions-deletions, at the cost of limited SV detection. Multi-kilobase DNA fragment mate pair sequencing has supplemented the void in SV detection, but introduced new analytic challenges requiring SV detection tools specifically designed for mate pair sequencing data. Here, we introduce SVachra – Structural Variation Assessment of CHRomosomal Aberrations, a breakpoint calling program that identifies large insertions-deletions, inversions, inter- and intra-chromosomal translocations utilizing both inward and outward facing read types generated by mate pair sequencing.We demonstrate SVachra’s utility by executing the program on large-insert (Illumina Nextera) mate pair sequencing data from the personal genome of a single subject (HS1011). An additional data set of long-read (Pacific BioSciences RSII) was also generated to validate SV calls from SVachra and other comparison SV calling programs. SVachra exhibited the highest validation rate and reported the widest distribution of SV types and size ranges when compared to other SV callers.SVachra is a highly specific breakpoint calling program that exhibits a more unbiased SV detection methodology than other callers.

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July 7, 2019

Key features of mcr-1-bearing plasmids from Escherichia coli isolated from humans and food.

Mcr-1-harboring Enterobacteriaceae are reported worldwide since their first discovery in 2015. However, a limited number of studies are available that compared full-length plasmid sequences of human and animal origins.In this study, mcr-1-bearing plasmids from seven Escherichia coli isolates recovered from patients (n = 3), poultry meat (n = 2) and turkey meat (n = 2) in Switzerland were further analyzed and compared. Isolates were characterized by multilocus sequence typing (MLST). The mcr-1-bearing plasmids were transferred by transformation into reference strain E. coli DH5a and MCR-1-producing transformants were selected on LB-agar supplemented with 2 mg/L colistin. Purified plasmids were then sequenced and compared.MLST revealed six distinct STs, illustrating the high clonal diversity among mcr-1-positive E. coli isolates of different origins. Two different mcr-1-positive plasmids were identified from a single E. coli ST48 human isolate. All other isolates possessed a single mcr-1 harboring plasmid. Transferable IncI2 (size ca. 60-61 kb) and IncX4 (size ca. 33-35 kb) type plasmids each bearing mcr-1 were found associated with human and food isolates. None of the mcr-1-positive IncI2 and IncX4 plasmids possessed any additional resistance determinants. Surprisingly, all but one of the sequenced mcr-1-positive plasmids lacked the ISApl1 element, which is a key element mediating acquisition of mcr-1 into various plasmid backbones.There is strong evidence that the food chain may be an important transmission route for mcr-1-bearing plasmids. Our data suggest that some “epidemic” plasmids rather than specific E. coli clones might be responsible for the spread of the mcr-1 gene along the food chain.

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July 7, 2019

The Mobile Element Locator Tool (MELT): population-scale mobile element discovery and biology.

Mobile element insertions (MEIs) represent ~25% of all structural variants in human genomes. Moreover, when they disrupt genes, MEIs can influence human traits and diseases. Therefore, MEIs should be fully discovered along with other forms of genetic variation in whole genome sequencing (WGS) projects involving population genetics, human diseases, and clinical genomics. Here, we describe the Mobile Element Locator Tool (MELT), which was developed as part of the 1000 Genomes Project to perform MEI discovery on a population scale. Using both Illumina WGS data and simulations, we demonstrate that MELT outperforms existing MEI discovery tools in terms of speed, scalability, specificity, and sensitivity, while also detecting a broader spectrum of MEI-associated features. Several run modes were developed to perform MEI discovery on local and cloud systems. In addition to using MELT to discover MEIs in modern humans as part of the 1000 Genomes Project, we also used it to discover MEIs in chimpanzees and ancient (Neanderthal and Denisovan) hominids. We detected diverse patterns of MEI stratification across these populations that likely were caused by (1) diverse rates of MEI production from source elements, (2) diverse patterns of MEI inheritance, and (3) the introgression of ancient MEIs into modern human genomes. Overall, our study provides the most comprehensive map of MEIs to date spanning chimpanzees, ancient hominids, and modern humans and reveals new aspects of MEI biology in these lineages. We also demonstrate that MELT is a robust platform for MEI discovery and analysis in a variety of experimental settings.© 2017 Gardner et al.; Published by Cold Spring Harbor Laboratory Press.

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July 7, 2019

The rapid in vivo evolution of Pseudomonas aeruginosa in ventilator-associated pneumonia patients leads to attenuated virulence.

Pseudomonas aeruginosa is an opportunistic pathogen that causes severe airway infections in humans. These infections are usually difficult to treat and associated with high mortality rates. While colonizing the human airways, P. aeruginosa could accumulate genetic mutations that often lead to its better adaptability to the host environment. Understanding these evolutionary traits may provide important clues for the development of effective therapies to treat P. aeruginosa infections. In this study, 25 P. aeruginosa isolates were longitudinally sampled from the airways of four ventilator-associated pneumonia (VAP) patients. Pacbio and Illumina sequencing were used to analyse the in vivo evolutionary trajectories of these isolates. Our analysis showed that positive selection dominantly shaped P. aeruginosa genomes during VAP infections and led to three convergent evolution events, including loss-of-function mutations of lasR and mpl, and a pyoverdine-deficient phenotype. Specifically, lasR encodes one of the major transcriptional regulators in quorum sensing, whereas mpl encodes an enzyme responsible for recycling cell wall peptidoglycan. We also found that P. aeruginosa isolated at late stages of VAP infections produce less elastase and are less virulent in vivo than their earlier isolated counterparts, suggesting the short-term in vivo evolution of P. aeruginosa leads to attenuated virulence.© 2017 The Authors.

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July 7, 2019

Whole-genome sequences of bacteremia isolates of Bordetella holmesii.

Bordetella holmesii causes respiratory and invasive diseases in humans, but its pathogenesis remains poorly understood. We report here the genome sequences of seven bacteremia isolates of B. holmesii, including the type strain. Comparative analysis of these sequences may aid studies of B. holmesii biology and assist in the development of species-specific diagnostic strategies. Copyright © 2017 Tettelin et al.

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July 7, 2019

Distinct mechanisms of acquisition of mcr-1 -bearing plasmid by Salmonella strains recovered from animals and food samples.

Since the report of its discovery in E. coli in late 2015, the plasmid-mediated colistin resistance gene, mcr-1, has been detected in various bacterial species in clinical setting and various environmental niches. However, the transmission mechanisms of this gene in Salmonella is less defined. In this study, we conducted a comprehensive study to characterize the genetic features of mcr-1-positive Salmonella strains isolated from animals and foods. Our data revealed that Salmonella recovered from animals and food specimens exhibited highly different PFGE patterns, and acquired mcr-1-encoding plasmids via different mechanism. Plasmids harboring mcr-1 in Salmonella food isolates were all conjugative and similar as plasmids reported in other species of Enterobacteriaceae, whereas mcr-1-bearing plasmids from animal Salmonella isolates were not conjugative, and belonged to the IncHI2 type. The lack of a region carrying the tra genes was found to account for the inability to undergo conjugation for various sizes of IncHI2 plasmids harbored by animal strains. These data suggest that transmission of mcr-1-positive Salmonella from animal to food might not be a common event and food isolates may have acquired mcr-1-bearing plasmids from other mcr-1-positive bacteria such as E. coli, which co-exist in food samples.

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July 7, 2019

Structural variation offers new home for disease associations and gene discovery

Following completion of the Human Genome Project, most studies of human genetic variation have centered on single nucleotide polymorphisms (SNPs). SNPs are numerous in individual genomes and serve as useful genetic markers in association studies across a population. These markers have been leveraged to identify genetic loci for disease risk and draw associations with numerous traits of interest. Despite their usefulness, SNPs do not tell the whole story. For example, most SNPs are associated with only a small increased risk of disease, and they usually cannot identify on their own which genes are causal. This has resulted in what many researchers have referred to as missing or hidden heritability.

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July 7, 2019

Lightning-fast genome variant detection with GROM.

Current human whole genome sequencing projects produce massive amounts of data, often creating significant computational challenges. Different approaches have been developed for each type of genome variant and method of its detection, necessitating users to run multiple algorithms to find variants.We present GROM (Genome Rearrangement OmniMapper), a novel comprehensive variant detection algorithm accepting aligned read files as input and finding SNVs, indels, structural variants (SVs), and copy number variants (CNVs). We show that GROM outperforms state-of-the-art methods on seven validated benchmarks using two whole genome sequencing (WGS) datasets. Additionally, GROM boasts lightning fast run times, analyzing a 50x WGS human dataset (NA12878) on commonly available computer hardware in 11 minutes, more than an order of magnitude (up to 72 times) faster than tools detecting a similar range of variants.Addressing the needs of big data analysis, GROM combines in one algorithm SNV, indel, SV, and CNV detection providing superior speed, sensitivity, and precision. GROM is also able to detect CNVs, SNVs and indels in non-paired read WGS libraries, as well as SNVs and indels in whole exome or RNA sequencing datasets.

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July 7, 2019

Exception to the rule: Genomic characterization of naturally occurring unusual Vibrio cholerae strains with a single chromosome.

The genetic make-up of most bacteria is encoded in a single chromosome while about 10% have more than one chromosome. Among these, Vibrio cholerae, with two chromosomes, has served as a model system to study various aspects of chromosome maintenance, mainly replication, and faithful partitioning of multipartite genomes. Here, we describe the genomic characterization of strains that are an exception to the two chromosome rules: naturally occurring single-chromosome V. cholerae. Whole genome sequence analyses of NSCV1 and NSCV2 (natural single-chromosome vibrio) revealed that the Chr1 and Chr2 fusion junctions contain prophages, IS elements, and direct repeats, in addition to large-scale chromosomal rearrangements such as inversions, insertions, and long tandem repeats elsewhere in the chromosome compared to prototypical two chromosome V. cholerae genomes. Many of the known cholera virulence factors are absent. The two origins of replication and associated genes are generally intact with synonymous mutations in some genes, as are recA and mismatch repair (MMR) genes dam, mutH, and mutL; MutS function is probably impaired in NSCV2. These strains are ideal tools for studying mechanistic aspects of maintenance of chromosomes with multiple origins and other rearrangements and the biological, functional, and evolutionary significance of multipartite genome architecture in general.

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