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Asset Tag: SMRT Sequencing

September 22, 2019

Glyphosate resistance and EPSPS gene duplication: Convergent evolution in multiple plant species.

One of the increasingly widespread mechanisms of resistance to the herbicide glyphosate is copy number variation (CNV) of the 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) gene. EPSPS gene duplication has been reported in eight weed species, ranging from 3-5 extra copies to more than 150 extra copies. In the case of Palmer amaranth (Amaranthus palmeri), a section of >300 kb containing EPSPS and many other genes has been replicated and inserted at new loci throughout the genome, resulting in significant increase in total genome size. The replicated sequence contains several classes of mobile genetic elements including helitrons, raising the intriguing possibility of extra-chromosomal replication of the EPSPS-containing sequence. In kochia (Kochia scoparia), from three to more than 10 extra EPSPS copies are arranged as a tandem gene duplication at one locus. In the remaining six weed species that exhibit EPSPS gene duplication, little is known about the underlying mechanisms of gene duplication or their entire sequence. There is mounting evidence that adaptive gene amplification is an important mode of evolution in the face of intense human-mediated selection pressure. The convergent evolution of CNVs for glyphosate resistance in weeds, through at least two different mechanisms, may be indicative of a more general importance for this mechanism of adaptation in plants. CNVs warrant further investigation across plant functional genomics for adaptation to biotic and abiotic stresses, particularly for adaptive evolution on rapid time scales.© The American Genetic Association 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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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

DNA-guided delivery of single molecules into zero-mode waveguides.

Zero-mode waveguides (ZMWs) are powerful analytical tools corresponding to optical nanostructures fabricated in a thin metallic film capable of confining an excitation volume to the range of attoliters. This small volume of confinement allows single-molecule fluorescence experiments to be performed at physiologically relevant concentrations of fluorescently labeled biomolecules. Exactly one molecule to be studied must be attached at the floor of the ZMW for signal detection and analysis; however, the massive parallelism of these nanoarrays suffers from a Poissonian-limited distribution of these biomolecules. To date, there is no method available that provides full single-molecule occupancy of massively arrayed ZMWs. Here we report the performance of a DNA-guided method that uses steric exclusion properties of large DNA molecules to bias the Poissonian-limited delivery of single molecules. Non-Poissonian statistics were obtained with DNA molecules that contain a free-biotinylated extremity for efficient binding to the floor of the ZMW, which resulted in a decrease of accessibility for a second molecule. Both random-coiled and condensed DNA conformations drove non-Poissonian single-molecule delivery into ZMW arrays. The results suggest that an optimal balance between the rigidity and flexibility of the macromolecule is critical for favorable accessibility and single occupancy. The optimized method provides a means for full exploitation of these massively parallelized analytical tools.

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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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September 21, 2019

Comparative genomics of enterohemorrhagic Escherichia coli O145:H28 demonstrates a common evolutionary lineage with Escherichia coli O157:H7.

Although serotype O157:H7 is the predominant enterohemorrhagic Escherichia coli (EHEC), outbreaks of non-O157 EHEC that cause severe foodborne illness, including hemolytic uremic syndrome have increased worldwide. In fact, non-O157 serotypes are now estimated to cause over half of all the Shiga toxin-producing Escherichia coli (STEC) cases, and outbreaks of non-O157 EHEC infections are frequently associated with serotypes O26, O45, O103, O111, O121, and O145. Currently, there are no complete genomes for O145 in public databases.We determined the complete genome sequences of two O145 strains (EcO145), one linked to a US lettuce-associated outbreak (RM13514) and one to a Belgium ice-cream-associated outbreak (RM13516). Both strains contain one chromosome and two large plasmids, with genome sizes of 5,737,294 bp for RM13514 and 5,559,008 bp for RM13516. Comparative analysis of the two EcO145 genomes revealed a large core (5,173 genes) and a considerable amount of strain-specific genes. Additionally, the two EcO145 genomes display distinct chromosomal architecture, virulence gene profile, phylogenetic origin of Stx2a prophage, and methylation profile (methylome). Comparative analysis of EcO145 genomes to other completely sequenced STEC and other E. coli and Shigella genomes revealed that, unlike any other known non-O157 EHEC strain, EcO145 ascended from a common lineage with EcO157/EcO55. This evolutionary relationship was further supported by the pangenome analysis of the 10 EHEC str ains. Of the 4,192 EHEC core genes, EcO145 shares more genes with EcO157 than with the any other non-O157 EHEC strains.Our data provide evidence that EcO145 and EcO157 evolved from a common lineage, but ultimately each serotype evolves via a lineage-independent nature to EHEC by acquisition of the core set of EHEC virulence factors, including the genes encoding Shiga toxin and the large virulence plasmid. The large variation between the two EcO145 genomes suggests a distinctive evolutionary path between the two outbreak strains. The distinct methylome between the two EcO145 strains is likely due to the presence of a BsuBI/PstI methyltransferase gene cassette in the Stx2a prophage of the strain RM13514, suggesting a role of horizontal gene transfer-mediated epigenetic alteration in the evolution of individual EHEC strains.

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September 21, 2019

Mistranslation drives the evolution of robustness in TEM-1 ß-lactamase.

How biological systems such as proteins achieve robustness to ubiquitous perturbations is a fundamental biological question. Such perturbations include errors that introduce phenotypic mutations into nascent proteins during the translation of mRNA. These errors are remarkably frequent. They are also costly, because they reduce protein stability and help create toxic misfolded proteins. Adaptive evolution might reduce these costs of protein mistranslation by two principal mechanisms. The first increases the accuracy of translation via synonymous “high fidelity” codons at especially sensitive sites. The second increases the robustness of proteins to phenotypic errors via amino acids that increase protein stability. To study how these mechanisms are exploited by populations evolving in the laboratory, we evolved the antibiotic resistance gene TEM-1 in Escherichia coli hosts with either normal or high rates of mistranslation. We analyzed TEM-1 populations that evolved under relaxed and stringent selection for antibiotic resistance by single molecule real-time sequencing. Under relaxed selection, mistranslating populations reduce mistranslation costs by reducing TEM-1 expression. Under stringent selection, they efficiently purge destabilizing amino acid changes. More importantly, they accumulate stabilizing amino acid changes rather than synonymous changes that increase translational accuracy. In the large populations we study, and on short evolutionary timescales, the path of least resistance in TEM-1 evolution consists of reducing the consequences of translation errors rather than the errors themselves.

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