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Background: Recent studies indicated that the monosubstituted deoxystreptamine aminoglycoside apramycin is a potent antibiotic against a wide range of MDR Gram-negative pathogens., Objectives: To evaluate the in vitro activity of apramycin against carbapenem-resistant Klebsiella pneumoniae (CRKp) isolates from New York and New Jersey, and to explore mechanisms of apramycin resistance., Methods: Apramycin MICs were determined by broth microdilution for 155 CRKp bloodstream isolates collected from 2013 to 2018. MLST STs, wzi capsular types and apramycin resistance gene aac(3')-IV were examined by PCR and Sanger sequencing. Selected isolates were further characterized by conjugation experiments and WGS., Results: Apramycin MIC50/90 values were 8 and >128 mg/L for CRKp isolates, which are much higher than previously reported. Twenty-four isolates (15.5%) were apramycin resistant (MIC ≥64 mg/L) and they were all from the K. pneumoniae ST258 background. The 24 apramycin-resistant K. pneumoniae ST258 strains belonged to six different capsular types and 91.7% of them harboured the apramycin resistance gene aac(3')-IV. Sequencing analysis showed that different ST258 capsular type strains shared a common non-conjugative IncR plasmid, co-harbouring aac(3')-IV and blaKPC. A novel IncR and IncX3 cointegrate plasmid, p59494-RX116.1, was also identified in an ST258 strain, demonstrating how apramycin resistance can be spread from a non-conjugative plasmid through cointegration., Conclusions: We described a high apramycin resistance rate in clinical CRKp isolates in the New York/New Jersey region, mainly among the epidemic K. pneumoniae ST258 strains. The high resistance rate in an epidemic K. pneumoniae clone raises concern regarding the further optimization and development of apramycin and apramycin-like antibiotics., (© The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

The microbiome refers to the thousands of microbial species that inhabit a specific host or environment. Extensive microbiome surveys have been conducted for soils, the built environment, and our oceans. In addition, extensive studies of the human microbiome have revealed significant microbial diversity across all body sites and have hinted at new opportunities for diagnostic and therapeutic approaches to addressing human health and disease. Mammals in general are known to hold a complicated mix of species within their gastrointestinal tracts, including virus, archaea, bacteria, and fungi. These microbial species present beneficial aspects to the host species through the production of vitamins, metabolism of plant structural compounds and sugars, and education of the immune system. In addition to a vast number of studies on humans, studies of the mammalian microbiome have been performed, with several publications on a variety of animal species currently available. These have included studies on the microbiome of companion animals, animals used for research, and animals used for agricultural and food purposes, and various human/animal models., (© The Author 2015. Published by Oxford University Press on behalf of the Institute for Laboratory Animal Research. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Deep shotgun sequencing on next generation sequencing (NGS) platforms has contributed significant amounts of data to enrich our understanding of genomes, transcriptomes, amplified single-cell genomes, and metagenomes. However, deep coverage variations in short-read data sets and high sequencing error rates of modern sequencers present new computational challenges in data interpretation, including mapping and de novo assembly. New lab techniques such as multiple displacement amplification (MDA) of single cells and sequence independent single primer amplification (SISPA) allow for sequencing of organisms that cannot be cultured, but generate highly variable coverage due to amplification biases., Results: Here we introduce NeatFreq, a software tool that reduces a data set to more uniform coverage by clustering and selecting from reads binned by their median kmer frequency (RMKF) and uniqueness. Previous algorithms normalize read coverage based on RMKF, but do not include methods for the preferred selection of (1) extremely low coverage regions produced by extremely variable sequencing of random-primed products and (2) 2-sided paired-end sequences. The algorithm increases the incorporation of the most unique, lowest coverage, segments of a genome using an error-corrected data set. NeatFreq was applied to bacterial, viral plaque, and single-cell sequencing data. The algorithm showed an increase in the rate at which the most unique reads in a genome were included in the assembled consensus while also reducing the count of duplicative and erroneous contigs (strings of high confidence overlaps) in the deliverable consensus. The results obtained from conventional Overlap-Layout-Consensus (OLC) were compared to simulated multi-de Bruijn graph assembly alternatives trained for variable coverage input using sequence before and after normalization of coverage. Coverage reduction was shown to increase processing speed and reduce memory requirements when using conventional bacterial assembly algorithms., Conclusions: The normalization of deep coverage spikes, which would otherwise inhibit consensus resolution, enables High Throughput Sequencing (HTS) assembly projects to consistently run to completion with existing assembly software. The NeatFreq software package is free, open source and available at https://github.com/bioh4x/NeatFreq .

Background: Whole genome sequencing of viruses and bacteriophages is often hindered because of the need for large quantities of genomic material. A method is described that combines single plaque sequencing with an optimization of Sequence Independent Single Primer Amplification (SISPA). This method can be used for de novo whole genome next-generation sequencing of any cultivable virus without the need for large-scale production of viral stocks or viral purification using centrifugal techniques., Methods: A single viral plaque of a variant of the 2009 pandemic H1N1 human Influenza A virus was isolated and amplified using the optimized SISPA protocol. The sensitivity of the SISPA protocol presented here was tested with bacteriophage F_HA0480sp/Pa1651 DNA. The amplified products were sequenced with 454 and Illumina HiSeq platforms. Mapping and de novo assemblies were performed to analyze the quality of data produced from this optimized method., Results: Analysis of the sequence data demonstrated that from a single viral plaque of Influenza A, a mapping assembly with 3590-fold average coverage representing 100% of the genome could be produced. The de novo assembled data produced contigs with 30-fold average sequence coverage, representing 96.5% of the genome. Using only 10 pg of starting DNA from bacteriophage F_HA0480sp/Pa1651 in the SISPA protocol resulted in sequencing data that gave a mapping assembly with 3488-fold average sequence coverage, representing 99.9% of the reference and a de novo assembly with 45-fold average sequence coverage, representing 98.1% of the genome., Conclusions: The optimized SISPA protocol presented here produces amplified product that when sequenced will give high quality data that can be used for de novo assembly. The protocol requires only a single viral plaque or as little as 10 pg of DNA template, which will facilitate rapid identification of viruses during an outbreak and viruses that are difficult to propagate.

Here we report the use of a multi-genome DNA microarray to investigate the genome diversity of Bacillus cereus group members and elucidate the events associated with the emergence of Bacillus anthracis the causative agent of anthrax-a lethal zoonotic disease. We initially performed directed genome sequencing of seven diverse B. cereus strains to identify novel sequences encoded in those genomes. The novel genes identified, combined with those publicly available, allowed the design of a "species" DNA microarray. Comparative genomic hybridization analyses of 41 strains indicate that substantial heterogeneity exists with respect to the genes comprising functional role categories. While the acquisition of the plasmid-encoded pathogenicity island (pXO1) and capsule genes (pXO2) represents a crucial landmark dictating the emergence of B. anthracis, the evolution of this species and its close relatives was associated with an overall shift in the fraction of genes devoted to energy metabolism, cellular processes, transport, as well as virulence., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Here we report the use of a multi-genome DNA microarray to elucidate the genomic events associated with the emergence of the clonal variants of Haemophilus influenzae biogroup aegyptius causing Brazilian Purpuric Fever (BPF), an important pediatric disease with a high mortality rate. We performed directed genome sequencing of strain HK1212 unique loci to construct a species DNA microarray. Comparative genome hybridization using this microarray enabled us to determine and compare gene complements, and infer reliable phylogenomic relationships among members of the species. The higher genomic variability observed in the genomes of BPF-related strains (clones) and their close relatives may be characterized by significant gene flux related to a subset of functional role categories. We found that the acquisition of a large number of virulence determinants featuring numerous cell membrane proteins coupled to the loss of genes involved in transport, central biosynthetic pathways and in particular, energy production pathways to be characteristics of the BPF genomic variants., (Copyright © 2010 Elsevier Inc. All rights reserved.)

The Prevotellas comprise a diverse group of bacteria that has received surprisingly limited attention at the whole genome-sequencing level. In this communication, we present the comparative analysis of the genomes of Prevotella ruminicola 23 (GenBank: CP002006) and Prevotella bryantii B(1)4 (GenBank: ADWO00000000), two gastrointestinal isolates. Both P. ruminicola and P. bryantii have acquired an extensive repertoire of glycoside hydrolases that are targeted towards non-cellulosic polysaccharides, especially GH43 bifunctional enzymes. Our analysis demonstrates the diversity of this genus. The results from these analyses highlight their role in the gastrointestinal tract, and provide a template for additional work on genetic characterization of these species.

In the face of numerous emerging and re-emerging viral threats, large-scale genome sequencing efforts are underway to monitor viral evolution in real-time. To fully appreciate the mechanisms of viral adaptation and evolution, and to also develop reagents and resources for a better molecular diagnosis of emerging and re-emerging viral infections, there has been an increasing effort toward producing full length viral genome sequences. To date, high-throughput platforms have been developed using traditional Sanger-based sequencing and there are currently prospects to apply next generation sequencing methods to develop an ultra high-throughput strategy for viral genome sequencing and analysis.