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September 22, 2019

De novo assembly of the Pasteuria penetrans genome reveals high plasticity, host dependency, and BclA-like collagens.

Pasteuria penetrans is a gram-positive endospore forming bacterial parasite of Meloidogyne spp. the most economically damaging genus of plant parasitic nematodes globally. The obligate antagonistic nature of P. penetrans makes it an attractive candidate biological control agent. However, deployment of P. penetrans for this purpose is inhibited by a lack of understanding of its metabolism and the molecular mechanics underpinning parasitism of the host, in particular the initial attachment of the endospore to the nematode cuticle. Several attempts to assemble the genomes of species within this genus have been unsuccessful. Primarily this is due to the obligate parasitic nature of the bacterium which makes obtaining genomic DNA of sufficient quantity and quality which is free from contamination challenging. Taking advantage of recent developments in whole genome amplification, long read sequencing platforms, and assembly algorithms, we have developed a protocol to generate large quantities of high molecular weight genomic DNA from a small number of purified endospores. We demonstrate this method via genomic assembly of P. penetrans. This assembly reveals a reduced genome of 2.64Mbp estimated to represent 86% of the complete sequence; its reduced metabolism reflects widespread reliance on the host and possibly associated organisms. Additionally, apparent expansion of transposases and prediction of partial competence pathways suggest a high degree of genomic plasticity. Phylogenetic analysis places our sequence within the Bacilli, and most closely related to Thermoactinomyces species. Seventeen predicted BclA-like proteins are identified which may be involved in the determination of attachment specificity. This resource may be used to develop in vitro culture methods and to investigate the genetic and molecular basis of attachment specificity.

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September 22, 2019

Integrative haplotype estimation with sub-linear complexity

The number of human genomes being genotyped or sequenced increases exponentially and efficient haplotype estimation methods able to handle this amount of data are now required. Here, we present a new method, SHAPEIT4, which substantially improves upon other methods to process large genotype and high coverage sequencing datasets. It notably exhibits sub-linear scaling with sample size, provides highly accurate haplotypes and allows integrating external phasing information such as large reference panels of haplotypes, collections of pre-phased variants and long sequencing reads. We provide SHAPET4 in an open source format on https://odelaneau.github.io/shapeit4/ and demonstrate its performance in terms of accuracy and running times on two gold standard datasets: the UK Biobank data and the Genome In A Bottle.

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September 22, 2019

CompStor Novos: a low cost yet fast assembly-based variant calling for personal genomes

Application of assembly methods for personal genome analysis from next generation sequencing data has been limited by the requirement for an expensive supercomputer hardware or long computation times when using ordinary resources. We describe CompStor Novos, achieving supercomputer-class performance in de novo assembly computation time on standard server hardware, based on a tiered-memory algorithm. Run on commercial off-the-shelf servers, Novos assembly is more precise and 10-20 times faster than that of existing assembly algorithms. Furthermore, we integrated Novos into a variant calling pipeline and demonstrate that both compute times and precision of calling point variants and indels compare well with standard alignment-based pipelines. Additionally, assembly eliminates bias in the estimation of allele frequency for indels and naturally enables discovery of breakpoints for structural variants with base pair resolution. Thus, Novos bridges the gap between alignment-based and assembly-based genome analyses. Extension and adaption of its underlying algorithm will help quickly and fully harvest information in sequencing reads for personal genome reconstruction.

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September 22, 2019

Comparative Analysis of the Genetic Basis of Branched Nonylphenol Degradation by Sphingobium amiense DSM 16289T and Sphingobium cloacae JCM 10874T.

Branched nonylphenol (BNP), a degradation product of nonylphenol polyethoxylates, exerts estrogenic effects on various organisms. The genes underlying BNP degradation by Sphingobium amiense DSM 16289T were analyzed by complete genome sequencing and compared with those of the versatile BNP-degrading Sphingobium cloacae JCM 10874T. An opdA homolog (opdADSM16289) encoding BNP degradation activity was identified in DSM 16289T, in contrast with JCM 10874T, possessing both the opdA homolog and nmoA. The degradation profile of different BNP isomers was examined by Escherichia coli transformants harboring opdADSM16289, opdAJCM10874, and nmoAJCM10874 to characterize and compare the expression activities of these genes.

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September 22, 2019

Mutators as drivers of adaptation in Streptococcus and a risk factor for host jumps and vaccine escape

Heritable hypermutable strains deficient in DNA repair genes (mutators) facilitate microbial adaptation as they may rapidly generate beneficial mutations. Mutators deficient in mismatch (MMR) and oxidised guanine (OG) repair are abundant in clinical samples and show increased adaptive potential in experimental infection models but their role in pathoadaptation is poorly understood. Here we investigate the role of mutators in epidemiology and evolution of the broad host pathogen, Streptococcus iniae, employing 80 strains isolated globally over 40 years. We determine phylogenetic relationship among S. iniae using 10,267 non-recombinant core genome single nucleotide polymorphisms (SNPs), estimate their mutation rate by fluctuation analysis, and detect variation in major MMR (mutS, mutL, dnaN, recD2, rnhC) and OG (mutY, mutM, mutX) genes. S. iniae mutation rate phenotype and genotype are strongly associated with phylogenetic diversification and variation in major streptococcal virulence determinants (capsular polysaccharide, hemolysin, cell chain length, resistance to oxidation, and biofilm formation). Furthermore, profound changes in virulence determinants observed in mammalian isolates (atypical host) and vaccine-escape isolates found in bone (atypical tissue) of vaccinated barramundi are linked to multiple MMR and OG variants and unique mutation rates. This implies that adaptation to new host taxa, new host tissue, and to immunity of a vaccinated host is promoted by mutator strains. Our findings support the importance of mutation rate dynamics in evolution of pathogenic bacteria, in particular adaptation to a drastically different immunological setting that occurs during host jump and vaccine escape events.Importance Host immune response is a powerful selective pressure that drives diversification of pathogenic microorganisms and, ultimately, evolution of new strains. Major adaptive events in pathogen evolution, such as transmission to a new host species or infection of vaccinated hosts, require adaptation to a drastically different immune landscape. Such adaptation may be favoured by hypermutable strains (or mutators) that are defective in normal DNA repair and consequently capable of generating multiple potentially beneficial and compensatory mutations. This permits rapid adjustment of virulence and antigenicity in a new immunological setting. Here we show that mutators, through mutations in DNA repair genes and corresponding shifts in mutation rate, are associated with major diversification events and virulence evolution in the broad host-range pathogen Streptococcus iniae. We show that mutators underpin infection of vaccinated hosts, transmission to new host species and the evolution of new strains.

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September 21, 2019

Toward complete bacterial genome sequencing through the combined use of multiple next-generation sequencing platforms.

PacBio’s long-read sequencing technologies can be successfully used for a complete bacterial genome assembly using recently developed non-hybrid assemblers in the absence of secondgeneration, high-quality short reads. However, standardized procedures that take into account multiple pre-existing second-generation sequencing platforms are scarce. In addition to Illumina HiSeq and Ion Torrent PGM-based genome sequencing results derived from previous studies, we generated further sequencing data, including from the PacBio RS II platform, and applied various bioinformatics tools to obtain complete genome assemblies for five bacterial strains. Our approach revealed that the hierarchical genome assembly process (HGAP) non-hybrid assembler resulted in nearly complete assemblies at a moderate coverage of ~75x, but that different versions produced non-compatible results requiring post processing. The other two platforms further improved the PacBio assembly through scaffolding and a final error correction.

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September 21, 2019

Functional analysis of the first complete genome sequence of a multidrug resistant sequence type 2 Staphylococcus epidermidis.

Staphylococcus epidermidis is a significant opportunistic pathogen of humans. The ST2 lineage is frequently multidrug resistant and accounts for most of the clinical disease worldwide. However, there are no publically available, closed ST2 genomes and pathogenesis studies have not focused on these strains. We report the complete genome and methylome of BPH0662, a multidrug resistant, hospital adapted, ST2 S. epidermidis, and describe the correlation between resistome and phenotype, as well as demonstrate its relationship to publically available, international ST2 isolates. Furthermore, we delineate the methylome determined by the two type I restriction modification systems present in BPH0662 through heterologous expression in Escherichia coli, allowing the assignment of each system to its corresponding target recognition motif. As the first complete ST2 S. epidermidis genome, BPH0662 provides a valuable reference for future genomic studies of this clinically relevant lineage. Defining the methylome and the construction of these E. coli hosts provides the foundation for the development of molecular tools to bypass restriction modification systems in this lineage that has hitherto proven intractable.

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September 21, 2019

Multiple genome sequences of important beer-spoiling lactic acid bacteria.

Seven strains of important beer-spoiling lactic acid bacteria were sequenced using single-molecule real-time sequencing. Complete genomes were obtained for strains of Lactobacillus paracollinoides, Lactobacillus lindneri, and Pediococcus claussenii The analysis of these genomes emphasizes the role of plasmids as the genomic foundation of beer-spoiling ability. Copyright © 2016 Geissler et al.

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September 21, 2019

in silico Whole Genome Sequencer & Analyzer (iWGS): a computational pipeline to guide the design and analysis of de novo genome sequencing studies.

The availability of genomes across the tree of life is highly biased toward vertebrates, pathogens, human disease models, and organisms with relatively small and simple genomes. Recent progress in genomics has enabled the de novo decoding of the genome of virtually any organism, greatly expanding its potential for understanding the biology and evolution of the full spectrum of biodiversity. The increasing diversity of sequencing technologies, assays, and de novo assembly algorithms have augmented the complexity of de novo genome sequencing projects in non-model organisms. To reduce the costs and challenges in de novo genome sequencing projects and streamline their experimental design and analysis, we developed iWGS (in silico Whole Genome Sequencer and Analyzer), an automated pipeline for guiding the choice of appropriate sequencing strategy and assembly protocols. iWGS seamlessly integrates the four key steps of a de novo genome sequencing project: data generation (through simulation), data quality control, de novo assembly, and assembly evaluation and validation. The last three steps can also be applied to the analysis of real data. iWGS is designed to enable the user to have great flexibility in testing the range of experimental designs available for genome sequencing projects, and supports all major sequencing technologies and popular assembly tools. Three case studies illustrate how iWGS can guide the design of de novo genome sequencing projects and evaluate the performance of a wide variety of user-specified sequencing strategies and assembly protocols on genomes of differing architectures. iWGS, along with a detailed documentation, is freely available at https://github.com/zhouxiaofan1983/iWGS. Copyright © 2016 Author et al.

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September 21, 2019

Recent advances in bioinformatics for fish genomics

In the past few years, we have contributed efforts to ~1/5 of the reported fish genomes. Based on our related experience, here we outline recent advances in bioinformatics for fish genomics, with an emphasis on development of software for genome assembly, genome annotation and evolutionary analysis. This review will be helpful for the new players of genome analysis on both animals and plants. In the past decade, whole genome sequences of approximately 50 fish species have been reported [1]. We have been involved in ~1/5 of these international works from 2014 to 2017, such as mudskippers (2014) [2], Chinese large yellow croaker [3], Chinese barbel fishes [4], Asian arowana [5,6], Channel catfish [7], seahorses [8], Japanese flounder [9], Chinese clearhead icefish [10] and Northern snakehead [11]. We are also in charge of the China Auqatic 10-100-1,000 Genomics Program [12], in which ~100 fish genomes are sequencing targets for the next 3~5 years. Based on our previous experience on fish genomic studies, here we outline recent advances in related bioinformatics for fish genomics to share with public readers. Since the basic informatics includes genome assembly, genome annotation and evolutionary analysis, we discuss them one by one in this order.

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September 21, 2019

Complete genome sequence of the type strain of Macrococcus canis.

The first complete genome sequence of the recently describedMacrococcus canisspecies has been determined for the strain KM45013T(=DSM 101690T= CCOS 969T= CCUG 68920T= CCM 8748T). The strain was isolated from a dog with rhinitis and contains a putative ?-hemolysin and amecB-carrying staphylococcal cassette chromosomemecelement (SCCmecKM45013). Copyright © 2018 Gobeli Brawand et al.

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September 21, 2019

Complete chloroplast genome sequence of the red silk cotton tree (Bombax ceiba)

Bombax ceiba L. is a beautiful and deciduous tree with great ecological and economic importance. The third generation sequencing of chloroplast genome of B. ceiba was conducted on the PacBio sequencing platform (Pacific Biosciences). The complete chloroplast genome was 158,997?bp, which contains a large single-copy (LSC) region (89,021?bp), a small single-copy (SSC) region (21,110?bp), and two inverted repeats (IRs) (24,433?bp). In total, 116 genes were annotated, including 81 protein-coding genes, eight rRNA genes, and 27 tRNA genes. The phylogenetic tree showed that B. ceiba was closely clustered with one clade of Malvaceae.

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September 21, 2019

The complete mitochondrial genome of Bombax ceiba

Bombax ceiba is a beautiful and deciduous tree with important economic and ecological values. Here, we sequenced the intact mitochondrial genome (mitogenome) of B. ceiba on the PacBio sequencing platform (Pacific Biosciences, Menlo Park, CA). The mitogenome is 594,390bp and is comprised of 35 protein-coding genes, two rRNA genes, and 25 tRNA genes. The phylogeny analysis suggested that B. ceiba was closely clustered with the genus Gossypium.

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