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July 7, 2019

PipeCraft: Flexible open-source toolkit for bioinformatics analysis of custom high-throughput amplicon sequencing data.

High-throughput sequencing methods have become a routine analysis tool in environmental sciences as well as in public and private sector. These methods provide vast amount of data, which need to be analysed in several steps. Although the bioinformatics may be applied using several public tools, many analytical pipelines allow too few options for the optimal analysis for more complicated or customized designs. Here, we introduce PipeCraft, a flexible and handy bioinformatics pipeline with a user-friendly graphical interface that links several public tools for analysing amplicon sequencing data. Users are able to customize the pipeline by selecting the most suitable tools and options to process raw sequences from Illumina, Pacific Biosciences, Ion Torrent and Roche 454 sequencing platforms. We described the design and options of PipeCraft and evaluated its performance by analysing the data sets from three different sequencing platforms. We demonstrated that PipeCraft is able to process large data sets within 24 hr. The graphical user interface and the automated links between various bioinformatics tools enable easy customization of the workflow. All analytical steps and options are recorded in log files and are easily traceable.© 2017 John Wiley & Sons Ltd.


July 7, 2019

Phylogeography of Burkholderia pseudomallei isolates, Western Hemisphere.

The bacterium Burkholderia pseudomallei causes melioidosis, which is mainly associated with tropical areas. We analyzed single-nucleotide polymorphisms (SNPs) among genome sequences from isolates of B. pseudomallei that originated in the Western Hemisphere by comparing them with genome sequences of isolates that originated in the Eastern Hemisphere. Analysis indicated that isolates from the Western Hemisphere form a distinct clade, which supports the hypothesis that these isolates were derived from a constricted seeding event from Africa. Subclades have been resolved that are associated with specific regions within the Western Hemisphere and suggest that isolates might be correlated geographically with cases of melioidosis. One isolate associated with a former World War II prisoner of war was believed to represent illness 62 years after exposure in Southeast Asia. However, analysis suggested the isolate originated in Central or South America.


July 7, 2019

Critical points for an accurate human genome analysis.

Next-generation sequencing is radically changing how DNA diagnostic laboratories operate. What started as a single-gene profession is now developing into gene panel sequencing and whole-exome and whole-genome sequencing (WES/WGS) analyses. With further advances in sequencing technology and concomitant price reductions, WGS will soon become the standard and be routinely offered. Here, we focus on the critical steps involved in performing WGS, with a particular emphasis on points where WGS differs from WES, the important variables that should be taken into account, and the quality control measures that can be taken to monitor the process. The points discussed here, combined with recent publications on guidelines for reporting variants, will facilitate the routine implementation of WGS into a diagnostic setting.© 2017 Wiley Periodicals, Inc.


July 7, 2019

Metabolic diversity of the emerging pathogenic lineages of Klebsiella pneumoniae.

Multidrug resistant and hypervirulent clones of Klebsiella pneumoniae are emerging pathogens. To understand the association between genotypic and phenotypic diversity in this process, we combined genomic, phylogenomic and phenotypic analysis of a diverse set of K. pneumoniae and closely related species. These species were able to use an unusually large panel of metabolic substrates for growth, many of which were shared between all strains. We analysed the substrates used by only a fraction of the strains, identified some of their genetic basis, and found that many could not be explained by the phylogeny of the strains. Puzzlingly, few traits were associated with the ecological origin of the strains. One noticeable exception was the ability to use D-arabinose, which was much more frequent in hypervirulent strains. The broad carbon and nitrogen core metabolism of K. pneumoniae might contribute to its ability to thrive in diverse environments. Accordingly, even the hypervirulent and multidrug resistant clones have the metabolic signature of ubiquitous bacteria. The apparent few metabolic differences between hypervirulent, multi-resistant and environmental strains may favour the emergence of dual-risk strains that combine resistance and hypervirulence.© 2017 Society for Applied Microbiology and John Wiley & Sons Ltd.


July 7, 2019

Genome analysis of Endomicrobium proavitum suggests loss and gain of relevant functions during the evolution of intracellular symbionts.

Bacterial endosymbionts of eukaryotes show progressive genome erosion, but detailed investigations of the evolutionary processes involved in the transition to an intracellular lifestyle are generally hampered by the lack of extant free-living lineages. Here, we characterize the genome of the recently isolated, free-living Endomicrobium proavitum, the second member of the Elusimicrobia phylum brought into pure culture, and compare it to the closely related “Candidatus Endomicrobium trichonymphae” strain Rs-D17, a previously described but uncultured endosymbiont of termite gut flagellates. A reconstruction of the metabolic pathways of Endomicrobium proavitum matched the fermentation products formed in pure culture and underscored its restriction to glucose as the substrate. However, several pathways present in the free-living strain, e.g., for the uptake and activation of glucose and its subsequent fermentation, ammonium assimilation, and outer membrane biogenesis, were absent or disrupted in the endosymbiont, probably lost during the massive genome rearrangements that occurred during symbiogenesis. While the majority of the genes in strain Rs-D17 have orthologs in Endomicrobium proavitum, the endosymbiont also possesses a number of functions that are absent from the free-living strain and may represent adaptations to the intracellular lifestyle. Phylogenetic analysis revealed that the genes encoding glucose 6-phosphate and amino acid transporters, acetaldehyde/alcohol dehydrogenase, and the pathways of glucuronic acid catabolism and thiamine pyrophosphate biosynthesis were either acquired by horizontal gene transfer or may represent ancestral traits that were lost in the free-living strain. The polyphyletic origin of Endomicrobia in different flagellate hosts makes them excellent models for future studies of convergent and parallel evolution during symbiogenesis.IMPORTANCE The isolation of a free-living relative of intracellular symbionts provides the rare opportunity to identify the evolutionary processes that occur in the course of symbiogenesis. Our study documents that the genome of “Candidatus Endomicrobium trichonymphae,” which represents a clade of endosymbionts that have coevolved with termite gut flagellates for more than 40 million years, is not simply a subset of the genes present in Endomicrobium proavitum, a member of the ancestral, free-living lineage. Rather, comparative genomics revealed that the endosymbionts possess several relevant functions that were either prerequisites for colonization of the intracellular habitat or might have served to compensate for genes losses that occurred during genome erosion. Some gene sets found only in the endosymbiont were apparently acquired by horizontal transfer from other gut bacteria, which suggests that the intracellular bacteria of flagellates are not entirely cut off from gene flow. Copyright © 2017 American Society for Microbiology.


July 7, 2019

A novel disrupted mcr-1 gene and a lysogenized phage P1-like sequence detected from a large conjugative plasmid, cultured from a human atypical enteropathogenic Escherichia coli (aEPEC) recovered in China.

Sir,The recent description of the plasmid-mediated colistin resistance gene, mcr-1, in bacterial isolates cultured in China has triggered several retrospective studies investigating this gene.1The mcr-1 gene has so far been reported to be associated with various plas- mid replicon types, and was found only rarely to be chromoso- mally encoded.2,3However, no report of a directly inactivated mcr-1 gene has been described to date. In this study, we present the complete nucleotide sequence of an ESBL-producing atypical enteropathogenic Escherichia coli (aEPEC) isolate, SLK172, one of whose plasmids carried a uniquely disrupted mcr-1 gene, being inactivated following the insertion of an ISApl1 element (Figure1a).


July 7, 2019

Antibody-independent mechanisms regulate the establishment of chronic Plasmodium infection.

Malaria is caused by parasites of the genus Plasmodium. All human-infecting Plasmodium species can establish long-lasting chronic infections(1-5), creating an infectious reservoir to sustain transmission(1,6). It is widely accepted that the maintenance of chronic infection involves evasion of adaptive immunity by antigenic variation(7). However, genes involved in this process have been identified in only two of five human-infecting species: Plasmodium falciparum and Plasmodium knowlesi. Furthermore, little is understood about the early events in the establishment of chronic infection in these species. Using a rodent model we demonstrate that from the infecting population, only a minority of parasites, expressing one of several clusters of virulence-associated pir genes, establishes a chronic infection. This process occurs in different species of parasites and in different hosts. Establishment of chronicity is independent of adaptive immunity and therefore different from the mechanism proposed for maintenance of chronic P. falciparum infections(7-9). Furthermore, we show that the proportions of parasites expressing different types of pir genes regulate the time taken to establish a chronic infection. Because pir genes are common to most, if not all, species of Plasmodium(10), this process may be a common way of regulating the establishment of chronic infections.


July 7, 2019

Adaptation of genetically monomorphic bacteria: evolution of copper resistance through multiple horizontal gene transfers of complex and versatile mobile genetic elements.

Copper-based antimicrobial compounds are widely used to control plant bacterial pathogens. Pathogens have adapted in response to this selective pressure. Xanthomonas citri pv. citri, a major citrus pathogen causing Asiatic citrus canker, was first reported to carry plasmid-encoded copper resistance in Argentina. This phenotype was conferred by the copLAB gene system. The emergence of resistant strains has since been reported in Réunion and Martinique. Using microsatellite-based genotyping and copLAB PCR, we demonstrated that the genetic structure of the copper-resistant strains from these three regions was made up of two distant clusters and varied for the detection of copLAB amplicons. In order to investigate this pattern more closely, we sequenced six copper-resistant X. citri pv. citri strains from Argentina, Martinique and Réunion, together with reference copper-resistant Xanthomonas and Stenotrophomonas strains using long-read sequencing technology. Genes involved in copper resistance were found to be strain dependent with the novel identification in X. citri pv. citri of copABCD and a cus heavy metal efflux resistance-nodulation-division system. The genes providing the adaptive trait were part of a mobile genetic element similar to Tn3-like transposons and included in a conjugative plasmid. This indicates the system’s great versatility. The mining of all available bacterial genomes suggested that, within the bacterial community, the spread of copper resistance associated with mobile elements and their plasmid environments was primarily restricted to the Xanthomonadaceae family.© 2017 John Wiley & Sons Ltd.


July 7, 2019

Sequencing the genomic regions flanking S-linked PvGLO sequences confirms the presence of two GLO loci, one of which lies adjacent to the style-length determinant gene CYP734A50.

Primula vulgaris contains two GLOBOSA loci, one located adjacent to the style length determinant gene CYP734A50 which lies within the S -locus. Using a combination of BAC walking and PacBio sequencing, we have sequenced two substantial genomic contigs in and around the S-locus of Primula vulgaris. Using these data, we were able to demonstrate that two alleles of PvGlo (P) as well as PvGlo (T) can be present in the genome of a single plant, providing empirical evidence that these two forms of the MADS-box gene GLOBOSA are separate loci and not allelic as previously reported. We propose they should be renamed PvGLO1 and PvGLO2. BAC contigs extending from each GLOBOSA locus were identified and fully sequenced. No homologous genes were found between the contigs other than the GLOBOSA genes themselves, consistent with their identity as separate loci. Exons of the recently identified style-length determinant gene CYP734A50 were identified on one end of the contig containing PvGLO2 and these genes are adjacent in the genome, suggesting that PvGLO2 lies either within or at least very close to the S-locus. Current evidence suggests that both CYP734A50 and GLO2 are specific to the S-morph mating type and are hemizygous rather than heterozygous in the Primula genome. This finding contrasts classical models of the HSI locus, which propose that components of the S-locus are allelic, suggesting that these models may need to be reconsidered.


July 7, 2019

Niche partitioning of diverse sulfur-oxidizing bacteria at hydrothermal vents.

At deep-sea hydrothermal vents, primary production is carried out by chemolithoautotrophic microorganisms, with the oxidation of reduced sulfur compounds being a major driver for microbial carbon fixation. Dense and highly diverse assemblies of sulfur-oxidizing bacteria (SOB) are observed, yet the principles of niche differentiation between the different SOB across geochemical gradients remain poorly understood. In this study niche differentiation of the key SOB was addressed by extensive sampling of active sulfidic vents at six different hydrothermal venting sites in the Manus Basin, off Papua New Guinea. We subjected 33 diffuse fluid and water column samples and 23 samples from surfaces of chimneys, rocks and fauna to a combined analysis of 16S rRNA gene sequences, metagenomes and real-time in situ measured geochemical parameters. We found Sulfurovum Epsilonproteobacteria mainly attached to surfaces exposed to diffuse venting, while the SUP05-clade dominated the bacterioplankton in highly diluted mixtures of vent fluids and seawater. We propose that the high diversity within Sulfurimonas- and Sulfurovum-related Epsilonproteobacteria observed in this study derives from the high variation of environmental parameters such as oxygen and sulfide concentrations across small spatial and temporal scales.


July 7, 2019

A supervised statistical learning approach for accurate Legionella pneumophila source attribution during outbreaks.

Public health agencies are increasingly relying on genomics during Legionnaires’ disease investigations. However, the causative bacterium (Legionella pneumophila) has an unusual population structure, with extreme temporal and spatial genome sequence conservation. Furthermore, Legionnaires’ disease outbreaks can be caused by multiple L. pneumophila genotypes in a single source. These factors can confound cluster identification using standard phylogenomic methods. Here, we show that a statistical learning approach based on L. pneumophila core genome single nucleotide polymorphism (SNP) comparisons eliminates ambiguity for defining outbreak clusters and accurately predicts exposure sources for clinical cases. We illustrate the performance of our method by genome comparisons of 234 L. pneumophila isolates obtained from patients and cooling towers in Melbourne, Australia, between 1994 and 2014. This collection included one of the largest reported Legionnaires’ disease outbreaks, which involved 125 cases at an aquarium. Using only sequence data from L. pneumophila cooling tower isolates and including all core genome variation, we built a multivariate model using discriminant analysis of principal components (DAPC) to find cooling tower-specific genomic signatures and then used it to predict the origin of clinical isolates. Model assignments were 93% congruent with epidemiological data, including the aquarium Legionnaires’ disease outbreak and three other unrelated outbreak investigations. We applied the same approach to a recently described investigation of Legionnaires’ disease within a UK hospital and observed a model predictive ability of 86%. We have developed a promising means to breach L. pneumophila genetic diversity extremes and provide objective source attribution data for outbreak investigations.IMPORTANCE Microbial outbreak investigations are moving to a paradigm where whole-genome sequencing and phylogenetic trees are used to support epidemiological investigations. It is critical that outbreak source predictions are accurate, particularly for pathogens, like Legionella pneumophila, which can spread widely and rapidly via cooling system aerosols, causing Legionnaires’ disease. Here, by studying hundreds of Legionella pneumophila genomes collected over 21 years around a major Australian city, we uncovered limitations with the phylogenetic approach that could lead to a misidentification of outbreak sources. We implement instead a statistical learning technique that eliminates the ambiguity of inferring disease transmission from phylogenies. Our approach takes geolocation information and core genome variation from environmental L. pneumophila isolates to build statistical models that predict with high confidence the environmental source of clinical L. pneumophila during disease outbreaks. We show the versatility of the technique by applying it to unrelated Legionnaires’ disease outbreaks in Australia and the UK. Copyright © 2017 American Society for Microbiology.


July 7, 2019

Complete genome sequence of Ruminococcaceae bacterium CPB6: A newly isolated culture for efficient n-caproic acid production from lactate.

n-caproic acid (CA) is a valuable chemical feedstock for various industrial applications. Biological production of CA from renewable carbon sources has attracted a lot of attentions recently. We lately reported the new culture Ruminococcaceae bacterium CPB6, which was isolated from a microbiome for efficient CA production from lactate. To further elucidate its metabolism, we sequenced the whole genome of the strain. The size of the complete genome is 2,069,994bp with 50.58% GC content; no plasmid was identified. Sets of genes involved in the fatty acid biosynthesis via acyl carrier protein (ACP) and coenzyme A (CoA) as well as lactate oxidation/reduction pathways were identified in the genome. These genes were inferred to be correlated with the CA production. The complete genome sequence provides essential information for the elucidation of the metabolism for CA production from lactate, and further improvement of the strain through genetic engineering for enhanced CA production and other biotechnological purposes. Copyright © 2017 Elsevier B.V. All rights reserved.


July 7, 2019

Strategies for optimizing BioNano and Dovetail explored through a second reference quality assembly for the legume model, Medicago truncatula.

Third generation sequencing technologies, with sequencing reads in the tens- of kilo-bases, facilitate genome assembly by spanning ambiguous regions and improving continuity. This has been critical for plant genomes, which are difficult to assemble due to high repeat content, gene family expansions, segmental and tandem duplications, and polyploidy. Recently, high-throughput mapping and scaffolding strategies have further improved continuity. Together, these long-range technologies enable quality draft assemblies of complex genomes in a cost-effective and timely manner.Here, we present high quality genome assemblies of the model legume plant, Medicago truncatula (R108) using PacBio, Dovetail Chicago (hereafter, Dovetail) and BioNano technologies. To test these technologies for plant genome assembly, we generated five assemblies using all possible combinations and ordering of these three technologies in the R108 assembly. While the BioNano and Dovetail joins overlapped, they also showed complementary gains in continuity and join numbers. Both technologies spanned repetitive regions that PacBio alone was unable to bridge. Combining technologies, particularly Dovetail followed by BioNano, resulted in notable improvements compared to Dovetail or BioNano alone. A combination of PacBio, Dovetail, and BioNano was used to generate a high quality draft assembly of R108, a M. truncatula accession widely used in studies of functional genomics. As a test for the usefulness of the resulting genome sequence, the new R108 assembly was used to pinpoint breakpoints and characterize flanking sequence of a previously identified translocation between chromosomes 4 and 8, identifying more than 22.7 Mb of novel sequence not present in the earlier A17 reference assembly.Adding Dovetail followed by BioNano data yielded complementary improvements in continuity over the original PacBio assembly. This strategy proved efficient and cost-effective for developing a quality draft assembly compared to traditional reference assemblies.


July 7, 2019

Post-hypoxia invasion of the fetal brain by multidrug resistant Staphylococcus.

Herein we describe an association between activation of inflammatory pathways following transient hypoxia and the appearance of the multidrug resistant bacteria Staphylococcus simulans in the fetal brain. Reduction of maternal arterial oxygen tension by 50% over 30?min resulted in a subseiuent significant over-expression of genes associated with immune responses 24?h later in the fetal brain. The activated genes were consistent with stimulation by bacterial lipopolysaccharide; an influx of macrophages and appearance of live bacteria were found in these fetal brains. S. simulans was the predominant bacterial species in fetal brain after hypoxia, but was found in placenta of all animals. Strains of S. simulans from the placenta and fetal brain were equally highly resistant to multiple antibiotics including methicillin and had identical genome sequences. These results suggest that bacteria from the placenta invade the fetal brain after maternal hypoxia.


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