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September 22, 2019  |  

Mosaic structure as the main feature of Mycobacterium bovis BCG genomes

Background: The genome stability of attenuated live BCG vaccine preventing the acute forms of childhood tuberculosis is an important aspect of vaccine production. The pur- pose of our study was a whole genome comparative analysis of BCG sub-strains and identification of potential triggers of sub-strains’ transition. Results: Genomes of three BCG Russia seed lots (1963, 1982, 2006 years) have been sequenced, and the stability of vaccine sub-strain genomes has been confirmed. A com- parative genome analysis of nine Mycobacterium bovis BCG and three M. bovis strains revealed their specific genome features associated with prophage profiles. A number of prophage-coded homologs to Caudovirales ORFs were common to all BCG genomes. Prophage profiles of BCG Tice and BCG Montreal genomes were unique and coded homologs to herpes viruses ORFs. The data of phylogenetic analysis of BCG sub-strain groups based on whole genome sequences and genome restriction maps were in con- gruence with prophage profiles. The only fragmentary similarity of specific prophage sequences of BCG Tice, BCG Montreal, and BCG Russia 368 in pair-wise alignments was observed, suggesting the impact of prophages on mosaic structure of genomes. Conclusions: The whole genome sequencing approach is essential for genomes with mosaic structure, harboring numerous prophage sequences. Tools for prophage search are effective instruments in this analysis.

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September 22, 2019  |  

Genome sequencing of Streptomyces atratus SCSIOZH16 and activation production of nocardamine via metabolic engineering.

The Actinomycetes are metabolically flexible microorganisms capable of producing a wide range of interesting compounds, including but by no means limited to, siderophores which have high affinity for ferric iron. In this study, we report the complete genome sequence of marine-derived Streptomyces atratus ZH16 and the activation of an embedded siderophore gene cluster via the application of metabolic engineering methods. The S. atratus ZH16 genome reveals that this strain has the potential to produce 26 categories of natural products (NPs) barring the ilamycins. Our activation studies revealed S. atratus SCSIO ZH16 to be a promising source of the production of nocardamine-type (desferrioxamine) compounds which are important in treating acute iron intoxication and performing ecological remediation. We conclude that metabolic engineering provides a highly effective strategy by which to discover drug-like compounds and new NPs in the genomic era.

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September 22, 2019  |  

Computational Modeling of Multidrug-Resistant Bacteria

Understanding how complex phenotypes arise from individual molecules and their interactions is a primary challenge in biology, and computational approaches have been increasingly employed to tackle this task. In this chapter, we describe current efforts by FIOCRUZ and partners to develop integrated computational models of multidrug-resistant bacteria. The bacterium chosen as the main focus of this effort is Pseudomonas aeruginosa, an opportunistic pathogen associated with a broad spectrum of infections in humans. Nowadays, P. aeruginosa is one of the main problems of healthcare-associated infections (HAI) in the world, because of its great capacity of survival in hospital environments and its intrinsic resistance to many antibiotics. Our overall research objective is to use integrated computational models to accurately predict a wide range of observable cellular behaviors of multidrug-resistant P. aeruginosa CCBH4851, which is a strain belonging to the clone ST277, endemic in Brazil. In this chapter, after a brief introduction to P. aeruginosa biology, we discuss the construction of metabolic and gene regulatory networks of P. aeruginosa CCBH 4851 from its genome. We also illustrate how these networks can be integrated into a single model, and we discuss methods for identifying potential therapeutic targets through integrated models.

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September 22, 2019  |  

Transcriptional regulation of cysteine and methionine metabolism in Lactobacillus paracasei FAM18149.

Lactobacillus paracasei is common in the non-starter lactic acid bacteria (LAB) community of raw milk cheeses. This species can significantly contribute to flavor formation through amino acid metabolism. In this study, the DNA and RNA of L. paracasei FAM18149 were sequenced using next-generation sequencing technologies to reconstruct the metabolism of the sulfur-containing amino acids cysteine and methionine. Twenty-three genes were found to be involved in cysteine biosynthesis, the conversion of cysteine to methionine and vice versa, the S-adenosylmethionine recycling pathway, and the transport of sulfur-containing amino acids. Additionally, six methionine-specific T-boxes and one cysteine-specific T-box were found. Five of these were located upstream of genes encoding transporter functions. RNA-seq analysis and reverse-transcription quantitative polymerase reaction assays showed that expression of genes located downstream of these T-boxes was affected by the absence of either cysteine or methionine. Remarkably, the cysK2-ctl1-cysE2 operon, which is associated with te methionine-to-cysteine conversion and is upregulated in the absence of cysteine, showed high read coverage in the 5′-untranslated region and an antisense-RNA in the 3′-untranslated region. This indicates that this operon is regulated by the combination of cis- and antisense-mediated regulation mechanisms. The results of this study may help in the selection of L. paracasei strains to control sulfuric flavor formation in cheese.

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September 22, 2019  |  

Co-culture of soil biofilm isolates enables the discovery of novel antibiotics

Bacterial natural products (NPs) are considered to be a promising source of drug discovery. However, the biosynthesis gene clusters (BGCs) of NP are not often expressed, making it difficult to identify them. Recently, the study of biofilm community showed bacteria may gain competitive advantages by the secretion of antibiotics, implying a possible way to screen antibiotic by evaluating the social behavior of bacteria. In this study, we have described an efficient workflow for novel antibiotic discovery by employing the bacterial social interaction strategy with biofilm cultivation, co-culture, transcriptomic and genomic methods. We showed that a biofilm dominant species, i.e. Pseudomonas sp. G7, which was isolated from cultivated soil biofilm community, was highly competitive in four-species biofilm communities, as the synergistic combinations preferred to exclude this strain while the antagonistic combinations did not. Through the analysis of transcriptomic changes in four-species co-culture and the complete genome of Pseudomonas sp. G7, we finally discovered two novel non-ribosomal polypeptide synthetic (NRPS) BGCs, whose products were predicted to have seven and six amino acid components, respectively. Furthermore, we provide evidence showing that only when Pseudomonas sp. G7 was co-cultivated with at least two or three other bacterial species can these BGC genes be induced, suggesting that the co-culture of the soil biofilm isolates is critical to the discovery of novel antibiotics. As a conclusion, we set a model of applying microbial interaction to the discovery of new antibiotics.

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September 22, 2019  |  

Whole-genome comparison of high and low virulent Staphylococcus aureus isolates inducing implant-associated bone infections.

Staphylococcus aureus can cause wide range of infections from simple soft skin infections to severe endocarditis, bacteremia, osteomyelitis and implant associated bone infections (IABI). The focus of the present investigation was to study virulence properties of S. aureus isolates from acute and chronic IABI by means of their in vivo lethality, in vitro osteoblasts invasion, biofilm formation and subsequently whole genome comparison between high and low virulent strains. Application of insect infection model Galleria mellonella revealed high, intermediate and low virulence phenotypes of these clinical isolates, which showed good correlation with osteoblast invasion and biofilm formation assays. Comparative genomics of selected high (EDCC 5458) and low (EDCC 5464) virulent strains enabled the identification of molecular factors responsible for the development of acute and chronic IABI. Accordingly, the low virulent strain EDCC 5464 harbored point mutations resulting in frame shift mutations in agrC (histidine kinase in agr system), graS (histidine kinase in graSR, a two component system) and efeB (peroxidase in efeOBU operon, an iron acquisition system) genes. Additionally, we found a mobile element (present 11 copies in EDCC 5464) inserted at the end of ß-hemolysin (hlb) and sarU genes, which are involved in the pathogenesis and regulation of virulence gene expression in coordination with quorum sensing system. All these results are in good support with the low virulence behavior of EDCC 5464. From the previous literature, it is well known that agr defective S. aureus clinical strains are isolated from the chronic infections. Similarly, low virulent EDCC 5464 was isolated from chronic implant-associated bone infections infection whereas EDCC 5458 was obtained from acute implant-associated bone infections. Laboratory based in vitro and in vivo results and insights from comparative genomic analysis could be correlated with the clinical conclusion of IABIs and allows evidence-based treatment strategies based on the pathogenesis of the strain to cure life devastating implant-associated infections. Copyright © 2018 Elsevier GmbH. All rights reserved.

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September 22, 2019  |  

Three substrains of the cyanobacterium Anabaena sp. PCC 7120 display divergence in genomic sequences and hetC function.

Anabaena sp. strain PCC 7120 is a model strain for molecular studies of cell differentiation and patterning in heterocyst-forming cyanobacteria. Subtle differences in heterocyst development have been noticed in different laboratories working on the same organism. In this study, 360 mutations, including single nucleotide polymorphisms (SNPs), small insertion/deletions (indels; 1 to 3 bp), fragment deletions, and transpositions, were identified in the genomes of three substrains. Heterogeneous/heterozygous bases were also identified due to the polyploidy nature of the genome and the multicellular morphology but could be completely segregated when plated after filament fragmentation by sonication. hetC is a gene upregulated in developing cells during heterocyst formation in Anabaena sp. strain PCC 7120 and found in approximately half of other heterocyst-forming cyanobacteria. Inactivation of hetC in 3 substrains of Anabaena sp. PCC 7120 led to different phenotypes: the formation of heterocysts, differentiating cells that keep dividing, or the presence of both heterocysts and dividing differentiating cells. The expression of P hetZ -gfp in these hetC mutants also showed different patterns of green fluorescent protein (GFP) fluorescence. Thus, the function of hetC is influenced by the genomic background and epistasis and constitutes an example of evolution under way.IMPORTANCE Our knowledge about the molecular genetics of heterocyst formation, an important cell differentiation process for global N2 fixation, is mostly based on studies with Anabaena sp. strain PCC 7120. Here, we show that rapid microevolution is under way in this strain, leading to phenotypic variations for certain genes related to heterocyst development, such as hetC This study provides an example for ongoing microevolution, marked by multiple heterogeneous/heterozygous single nucleotide polymorphisms (SNPs), in a multicellular multicopy-genome microorganism. Copyright © 2018 American Society for Microbiology.

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September 22, 2019  |  

A molecular window into the biology and epidemiology of Pneumocystis spp.

Pneumocystis, a unique atypical fungus with an elusive lifestyle, has had an important medical history. It came to prominence as an opportunistic pathogen that not only can cause life-threatening pneumonia in patients with HIV infection and other immunodeficiencies but also can colonize the lungs of healthy individuals from a very early age. The genus Pneumocystis includes a group of closely related but heterogeneous organisms that have a worldwide distribution, have been detected in multiple mammalian species, are highly host species specific, inhabit the lungs almost exclusively, and have never convincingly been cultured in vitro, making Pneumocystis a fascinating but difficult-to-study organism. Improved molecular biologic methodologies have opened a new window into the biology and epidemiology of Pneumocystis. Advances include an improved taxonomic classification, identification of an extremely reduced genome and concomitant inability to metabolize and grow independent of the host lungs, insights into its transmission mode, recognition of its widespread colonization in both immunocompetent and immunodeficient hosts, and utilization of strain variation to study drug resistance, epidemiology, and outbreaks of infection among transplant patients. This review summarizes these advances and also identifies some major questions and challenges that need to be addressed to better understand Pneumocystis biology and its relevance to clinical care. Copyright © 2018 American Society for Microbiology.

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September 22, 2019  |  

MIRU-profiler: a rapid tool for determination of 24-loci MIRU-VNTR profiles from assembled genomes of Mycobacterium tuberculosis.

Tuberculosis (TB) resulted in an estimated 1.7 million deaths in the year 2016. The disease is caused by the members of Mycobacterium tuberculosis complex, which includes Mycobacterium tuberculosis, Mycobacterium bovis and other closely related TB causing organisms. In order to understand the epidemiological dynamics of TB, national TB control programs often conduct standardized genotyping at 24 Mycobacterial-Interspersed-Repetitive-Units (MIRU)-Variable-Number-of-Tandem-Repeats (VNTR) loci. With the advent of next generation sequencing technology, whole-genome sequencing (WGS) has been widely used for studying TB transmission. However, an open-source software that can connect WGS and MIRU-VNTR typing is currently unavailable, which hinders interlaboratory communication. In this manuscript, we introduce the MIRU-profiler program which could be used for prediction of MIRU-VNTR profile from WGS of M. tuberculosis.The MIRU-profiler is implemented in shell scripting language and depends on EMBOSS software. The in-silico workflow of MIRU-profiler is similar to those described in the laboratory manuals for genotyping M. tuberculosis. Given an input genome sequence, the MIRU-profiler computes alleles at the standard 24-loci based on in-silico PCR amplicon lengths. The final output is a tab-delimited text file detailing the 24-loci MIRU-VNTR pattern of the input sequence.The MIRU-profiler was validated on four datasets: complete genomes from NCBI-GenBank (n = 11), complete genomes for locally isolated strains sequenced using PacBio (n = 4), complete genomes for BCG vaccine strains (n = 2) and draft genomes based on 250 bp paired-end Illumina reads (n = 106).The digital MIRU-VNTR results were identical to the experimental genotyping results for complete genomes of locally isolated strains, BCG vaccine strains and five out of 11 genomes from the NCBI-GenBank. For draft genomes based on short Illumina reads, 21 out of 24 loci were inferred with a high accuracy, while a number of inaccuracies were recorded for three specific loci (ETRA, QUB11b and QUB26). One of the unique features of the MIRU-profiler was its ability to process multiple genomes in a batch. This feature was tested on all complete M. tuberculosis genome (n = 157), for which results were successfully obtained in approximately 14 min.The MIRU-profiler is a rapid tool for inference of digital MIRU-VNTR profile from the assembled genome sequences. The tool can accurately infer repeat numbers at the standard 24 or 21/24 MIRU-VNTR loci from the complete or draft genomes respectively. Thus, the tool is expected to bridge the communication gap between the laboratories using WGS and those using the conventional MIRU-VNTR typing.

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September 22, 2019  |  

Genetic adaptation of a mevalonate pathway deficient mutant in Staphylococcus aureus.

In this study we addressed the question how a mevalonate (MVA)-auxotrophic Staphylococcus aureus?mvaS mutant can revert to prototrophy. This mutant couldn’t grow in the absence of MVA. However, after a long lag-phase of 4-6 days the mutant adapted from auxotrophic to prototrophic phenotype. During that time, it acquired two point mutations: One mutation in the coding region of the regulator gene spx, which resulted in an amino acid exchange that decreased Spx function. The other mutation in the upstream-element within the core-promoter of the mevalonolactone lactonase gene drp35. This mutation led to an increased expression of drp35. In repeated experiments the mutations always occurred in spx and drp35 and in the same order. The first detectable mutation appeared in spx and allowed slight growth; the second mutation, in drp35, increased growth further. Phenotypical characterizations of the mutant showed that small amounts of the lipid-carrier undecaprenol are synthesized, despite the lack of mvaS. The growth of the adapted clone, ?mvaSad, indicates that the mutations reawake a rescue bypass. We think that this bypass enters the MVA pathway at the stage of MVA, because blocking the pathway downstream of MVA led to growth arrest of the mutant. In addition, the lactonase Drp35 is able to convert mevalonolactone to MVA. Summarized, we describe here a mutation-based two-step adaptation process that allows resuscitation of growth of the ?mvaS mutant.

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September 22, 2019  |  

Comparing two Mycobacterium tuberculosis genomes from Chinese immigrants with native genomes using mauve alignments.

The number of immigrants with tuberculosis (TB) increases each year in South Korea. Determining the transmission dynamics based on whole genome sequencing (WGS) to cluster the strains has been challenging.WGS, annotation refinement, and orthology assignment for the GenBank accession number acquisition were performed on two clinical isolates from Chinese immigrants. In addition, the genomes of the two isolates were compared with the genomes of Mycobacterium tuberculosis isolates, from two native Korean and five native Chinese individuals using a phylogenetic topology tree based on the Multiple Alignment of Conserved Genomic Sequence with Rearrangements (Mauve) package.The newly assigned accession numbers for two clinical isolates were CP020381.2 (a Korean-Chinese from Yanbian Province) and CP022014.1 (a Chinese from Shandong Province), respectively. Mauve alignment classified all nine TB isolates into a discriminative collinear set with matched regions. The phylogenetic analysis revealed a rooted phylogenetic tree grouping the nine strains into two lineages: strains from Chinese individuals and strains from Korean individuals.Phylogenetic trees based on the Mauve alignments were supposed to be useful in revealing the dynamics of TB transmission from immigrants in South Korea, which can provide valuable information for scaling up the TB screening policy for immigrants. Copyright©2018. The Korean Academy of Tuberculosis and Respiratory Diseases.

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September 22, 2019  |  

Genome-based population structure analysis of the strawberry plant pathogen Xanthomonas fragariae reveals two distinct groups that evolved independently before its species description.

Xanthomonas fragariae is a quarantine organism in Europe, causing angular leaf spots on strawberry plants. It is spreading worldwide in strawberry-producing regions due to import of plant material through trade and human activities. In order to resolve the population structure at the strain level, we have employed high-resolution molecular typing tools on a comprehensive strain collection representing global and temporal distribution of the pathogen. Clustered regularly interspaced short palindromic repeat regions (CRISPRs) and variable number of tandem repeats (VNTRs) were identified within the reference genome of X. fragariae LMG 25863 as a potential source of variation. Strains from our collection were whole-genome sequenced and used in order to identify variable spacers and repeats for discriminative purpose. CRISPR spacer analysis and multiple-locus VNTR analysis (MLVA) displayed a congruent population structure, in which two major groups and a total of four subgroups were revealed. The two main groups were genetically separated before the first X. fragariae isolate was described and are potentially responsible for the worldwide expansion of the bacterial disease. Three primer sets were designed for discriminating CRISPR-associated markers in order to streamline group determination of novel isolates. Overall, this study describes typing methods to discriminate strains and monitor the pathogen population structure, more especially in the view of a new outbreak of the pathogen.

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September 22, 2019  |  

PBHoover and CigarRoller: a method for confident haploid variant calling on Pacific Biosciences data and its application to heterogeneous population analysis

Motivation: Single Molecule Real-Time (SMRT) sequencing has important and underutilized advantages that amplification-based platforms lack. Lack of systematic error (e.g. GC-bias), complete de novo assembly (including large repetitive regions) without scaffolding, can be mentioned. SMRT sequencing, however suffers from high random error rate and low sequencing depth (older chemistries). Here, we introduce PBHoover, software that uses a heuristic calling algorithm in order to make base calls with high certainty in low coverage regions. This software is also capable of mixed population detection with high sensitivity. PBHoovertextquoterights CigarRoller attachment improves sequencing depth in low-coverage regions through CIGAR-string correction. Results: We tested both modules on 348 M.tuberculosis clinical isolates sequenced on C1 or C2 chemistries. On average, CigarRoller improved percentage of usable read count from 68.9% to 99.98% in C1 runs and from 50% to 99% in C2 runs. Using the greater depth provided by CigarRoller, PBHoover was able to make base and variant calls 99.95% concordant with Sanger calls (QV33). PBHoover also detected antibiotic-resistant subpopulations that went undetected by Sanger. Using C1 chemistry, subpopulations as small as 9% of the total colony can be detected by PBHoover. This provides the most sensitive amplification-free molecular method for heterogeneity analysis and is in line with phenotypic methodstextquoteright sensitivity. This sensitivity significantly improves with the greater depth and lower error rate of the newer chemistries. Availability and Implementation: Executables are freely available under GNU GPL v3+ at http://www.gitlab.com/LPCDRP/pbhoover and http://www.gitlab.com/LPCDRP/CigarRoller. PBHoover is also available on bioconda: https://anaconda.org/bioconda/pbhoover.

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September 22, 2019  |  

Integrating long-range connectivity information into de Bruijn graphs.

The de Bruijn graph is a simple and efficient data structure that is used in many areas of sequence analysis including genome assembly, read error correction and variant calling. The data structure has a single parameter k, is straightforward to implement and is tractable for large genomes with high sequencing depth. It also enables representation of multiple samples simultaneously to facilitate comparison. However, unlike the string graph, a de Bruijn graph does not retain long range information that is inherent in the read data. For this reason, applications that rely on de Bruijn graphs can produce sub-optimal results given their input data.We present a novel assembly graph data structure: the Linked de Bruijn Graph (LdBG). Constructed by adding annotations on top of a de Bruijn graph, it stores long range connectivity information through the graph. We show that with error-free data it is possible to losslessly store and recover sequence from a Linked de Bruijn graph. With assembly simulations we demonstrate that the LdBG data structure outperforms both our de Bruijn graph and the String Graph Assembler (SGA). Finally we apply the LdBG to Klebsiella pneumoniae short read data to make large (12 kbp) variant calls, which we validate using PacBio sequencing data, and to characterize the genomic context of drug-resistance genes.Linked de Bruijn Graphs and associated algorithms are implemented as part of McCortex, which is available under the MIT license at https://github.com/mcveanlab/mccortex.Supplementary data are available at Bioinformatics online.

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September 22, 2019  |  

Extensive genomic diversity among Mycobacterium marinum strains revealed by whole genome sequencing.

Mycobacterium marinum is the causative agent for the tuberculosis-like disease mycobacteriosis in fish and skin lesions in humans. Ubiquitous in its geographical distribution, M. marinum is known to occupy diverse fish as hosts. However, information about its genomic diversity is limited. Here, we provide the genome sequences for 15 M. marinum strains isolated from infected humans and fish. Comparative genomic analysis of these and four available genomes of the M. marinum strains M, E11, MB2 and Europe reveal high genomic diversity among the strains, leading to the conclusion that M. marinum should be divided into two different clusters, the “M”- and the “Aronson”-type. We suggest that these two clusters should be considered to represent two M. marinum subspecies. Our data also show that the M. marinum pan-genome for both groups is open and expanding and we provide data showing high number of mutational hotspots in M. marinum relative to other mycobacteria such as Mycobacterium tuberculosis. This high genomic diversity might be related to the ability of M. marinum to occupy different ecological niches.

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