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Asset Tag: single molecule real time

April 21, 2020

Genome-informed Bradyrhizobium taxonomy: where to from here?

Bradyrhizobium is thought to be the largest and most diverse rhizobial genus, but this is not reflected in the number of described species. Although it was one of the first rhizobial genera recognised, its taxonomy remains complex. Various contemporary studies are showing that genome sequence information may simplify taxonomic decisions. Therefore, the growing availability of genomes for Bradyrhizobium will likely aid in the delineation and characterization of new species. In this study, we addressed two aims: first, we reviewed the availability and quality of available genomic resources for Bradyrhizobium. This was achieved by comparing genome sequences in terms of sequencing technologies used and estimated level of completeness for inclusion in genome-based phylogenetic analyses. Secondly, we utilized these genomes to investigate the taxonomic standing of Bradyrhizobium in light of its diverse lifestyles. Although genome sequences differed in terms of their quality and completeness, our data indicate that the use of these genome sequences is adequate for taxonomic purposes. By using these resources, we inferred a fully resolved, well-supported phylogeny. It separated Bradyrhizobium into seven lineages, three of which corresponded to the so-called supergroups known for the genus. Wide distribution of key lifestyle traits such as nodulation, nitrogen fixation and photosynthesis revealed that these traits have complicated evolutionary histories. We present the first robust Bradyrhizobium species phylogeny based on genome sequence information for investigating the evolution of this important assemblage of bacteria. Furthermore, this study provides the basis for using genome sequence information as a resource to make important taxonomic decisions, particularly at the species and genus levels. Copyright © 2019 Elsevier GmbH. All rights reserved.

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April 21, 2020

Genomic data mining of an Antarctic deep-sea actinobacterium, Janibacter limosus P3-3-X1

Janibacter limosus P3-3-X1, a psychrotolerant deep-sea actinobacterium isolated from the Southern Ocean, was completely sequenced and analyzed for its biotechnological potential in bioremediation and natural product biosynthesis. The circular genome contained 3.5?Mb with a high GC content of 70.44?mol%. Genomic data mining revealed a gene cluster for degrading phenol and its derivatives, including a multi-component phenol hydroxylase and a meta-cleavage pathway. The strain was shown to grow on phenol as its sole carbon source, supporting the findings of genomic analysis. Many more genes encoding for monooxygenases, dioxygenases and other aromatic compound degradation proteins involved in xenobiotics degradation were detected. Multiple natural product biosynthesis gene clusters were predicted as well. The genome sequencing and data mining provide insights into the bioremediation ability and biosynthetic potential of the Antarctic actinobacterium, and promote further experimental verification and exploration.

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April 21, 2020

Comparative genomic analysis unravels the transmission pattern and intra-species divergence of acute hepatopancreatic necrosis disease (AHPND)-causing Vibrio parahaemolyticus strains.

Acute hepatopancreatic necrosis disease (AHPND) is a recently discovered shrimp disease that has become a severe threat to global shrimp-farming industry. The causing agents of AHPND were identified as Vibrio parahaemolyticus and other vibrios harboring a plasmid encoding binary toxins PirAvp/PirBvp. However, the epidemiological involvement of environmental vibrios in AHPND is poorly understood. In this study, with an aim to reveal the possible transmission route of AHPND-causing V. parahaemolyticus, we sequenced and analyzed the genomes of four pairs of V. parahaemolyticus strains from four representative regions of shrimp farming in China, each including one strain isolated from diseased shrimp during an AHPND outbreak and one strain isolated from sediment before AHPND outbreaks. Our results showed that all the four shrimp-isolated and three of the sediment-isolated strains encode and secret PirAvp/PirBvp toxins and, therefore, are AHPND-causing strains. In silico multilocus sequence typing and high-resolution phylogenomic analysis based on single-nucleotide polymorphisms, as well as comparison of genomic loci in association with prophages and capsular polysaccharides (CPSs) consistently pointed to a close genetic relationship between the shrimp- and sediment-isolated strains obtained from the same region. In addition, our analyses revealed that the sequences associated with prophages, CPSs, and type VI secretion system-1 are highly divergent among strains from different regions, implying that these genes may play vital roles in environmental adaptation for AHPND-causing V. parahaemolyticus and thereby be potential targets for AHPND control. Summing up, this study provides the first direct evidence regarding the transmission route of AHPND-causing V. parahaemolyticus and underscores that V. parahaemolyticus in shrimp are most likely originated from local environment. The importance of environmental disinfection measures in shrimp farming was highlighted.

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April 21, 2020

The use of Online Tools for Antimicrobial Resistance Prediction by Whole Genome Sequencing in MRSA and VRE.

The antimicrobial resistance (AMR) crisis represents a serious threat to public health and has resulted in concentrated efforts to accelerate development of rapid molecular diagnostics for AMR. In combination with publicly-available web-based AMR databases, whole genome sequencing (WGS) offers the capacity for rapid detection of antibiotic resistance genes. Here we studied the concordance between WGS-based resistance prediction and phenotypic susceptibility testing results for methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin resistant Enterococcus (VRE) clinical isolates using publicly-available tools and databases.Clinical isolates prospectively collected at the University of Pittsburgh Medical Center between December 2016 and December 2017 underwent WGS. Antibiotic resistance gene content was assessed from assembled genomes by BLASTn search of online databases. Concordance between WGS-predicted resistance profile and phenotypic susceptibility as well as sensitivity, specificity, positive and negative predictive values (NPV, PPV) were calculated for each antibiotic/organism combination, using the phenotypic results as the gold standard.Phenotypic susceptibility testing and WGS results were available for 1242 isolate/antibiotic combinations. Overall concordance was 99.3% with a sensitivity, specificity, PPV, NPV of 98.7% (95% CI, 97.2-99.5%), 99.6% (95 % CI, 98.8-99.9%), 99.3% (95% CI, 98.0-99.8%), 99.2% (95% CI, 98.3-99.7%), respectively. Additional identification of point mutations in housekeeping genes increased the concordance to 99.4% and the sensitivity to 99.3% (95% CI, 98.2-99.8%) and NPV to 99.4% (95% CI, 98.4-99.8%).WGS can be used as a reliable predicator of phenotypic resistance for both MRSA and VRE using readily-available online tools.Copyright © 2019. Published by Elsevier Ltd.

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April 21, 2020

Complete genome sequence of Pseudoalteromonas sp. MEBiC 03485, isolated from deep-sea sediment

Pseudoalteromonas strains are widely distributed in the marine environment and most have attracted considerable interest owing to their ability to synthesize biologically active metabolites. In this study, we report and describe the genome sequence of Pseudoalteromonas sp. MEBiC 03485, isolated from the deep-sea sediment of Pacific Ocean at a depth of 2000?m. The complete genome consisted of three contigs with a total genome size of 4,167,407?bp and a GC content of 40.76?l%, and was predicted to contain 4194 protein-coding genes and 131 non-coding RNA genes. The strain MEBiC 03485 genome was also shown to contain genes for diverse metabolic pathways. Genome analysis revealed that the genome of strain MEBiC 03485 was enriched with genes involved in signal transduction, mobile elements, and cold-adaptation, some of which might improve ecological fitness in the deep-sea environment. These findings improve our understanding of microbial adaptation strategies in deep-sea environments.

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April 21, 2020

deSALT: fast and accurate long transcriptomic read alignment with de Bruijn graph-based index

Long-read RNA sequencing (RNA-seq) is promising to transcriptomics studies, however, the alignment of the reads is still a fundamental but non-trivial task due to the sequencing errors and complicated gene structures. We propose deSALT, a tailored two-pass long RNA-seq read alignment approach, which constructs graph-based alignment skeletons to sensitively infer exons, and use them to generate spliced reference sequence to produce refined alignments. deSALT addresses several difficult issues, such as small exons, serious sequencing errors and consensus spliced alignment. Benchmarks demonstrate that this approach has a better ability to produce high-quality full-length alignments, which has enormous potentials to transcriptomics studies.

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April 21, 2020

Extended haplotype phasing of de novo genome assemblies with FALCON-Phase

Haplotype-resolved genome assemblies are important for understanding how combinations of variants impact phenotypes. These assemblies can be created in various ways, such as use of tissues that contain single-haplotype (haploid) genomes, or by co-sequencing of parental genomes, but these approaches can be impractical in many situations. We present FALCON-Phase, which integrates long-read sequencing data and ultra-long-range Hi-C chromatin interaction data of a diploid individual to create high-quality, phased diploid genome assemblies. The method was evaluated by application to three datasets, including human, cattle, and zebra finch, for which high-quality, fully haplotype resolved assemblies were available for benchmarking. Phasing algorithm accuracy was affected by heterozygosity of the individual sequenced, with higher accuracy for cattle and zebra finch (>97%) compared to human (82%). In addition, scaffolding with the same Hi-C chromatin contact data resulted in phased chromosome-scale scaffolds.

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April 21, 2020

Full-length mRNA sequencing and gene expression profiling reveal broad involvement of natural antisense transcript gene pairs in pepper development and response to stresses.

Pepper is an important vegetable with great economic value and unique biological features. In the past few years, significant development has been made towards understanding the huge complex pepper genome; however, pepper functional genomics has not been well studied. To better understand the pepper gene structure and pepper gene regulation, we conducted full-length mRNA sequencing by PacBio sequencing and obtained 57862 high-quality full-length mRNA sequences derived from 18362 previously annotated and 5769 newly detected genes. New gene models were built that combined the full-length mRNA sequences and corrected approximately 500 fragmented gene models from previous annotations. Based on the full-length mRNA, we identified 4114 and 5880 pepper genes forming natural antisense transcript (NAT) genes in-cis and in-trans, respectively. Most of these genes accumulate small RNAs in their overlapping regions. By analyzing these NAT gene expression patterns in our transcriptome data, we identified many NAT pairs responsive to a variety of biological processes in pepper. Pepper formate dehydrogenase 1 (FDH1), which is required for R-gene-mediated disease resistance, may be regulated by nat-siRNAs and participate in a positive feedback loop in salicylic acid biosynthesis during resistance responses. Several cis-NAT pairs and subgroups of trans-NAT genes were responsive to pepper pericarp and placenta development, which may play roles in capsanthin and capsaicin biosynthesis. Using a comparative genomics approach, the evolutionary mechanisms of cis-NATs were investigated, and we found that an increase in intergenic sequences accounted for the loss of most cis-NATs, while transposon insertion contributed to the formation of most new cis-NATs. This article is protected by copyright. All rights reserved.This article is protected by copyright. All rights reserved.

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April 21, 2020

HLA*LA – HLA typing from linearly projected graph alignments.

HLA*LA implements a new graph alignment model for HLA type inference, based on the projection of linear alignments onto a variation graph. It enables accurate HLA type inference from whole-genome (99% accuracy) and whole-exome (93% accuracy) Illumina data; from long-read Oxford Nanopore and Pacific Biosciences data (98% accuracy for whole-genome and targeted data); and from genome assemblies. Computational requirements for a typical sample vary between 0.7 and 14 CPU hours per sample.HLA*LA is implemented in C?++ and Perl and freely available as a bioconda package or from https://github.com/DiltheyLab/HLA-LA (GPL v3).Supplementary data are available online. © The Author(s) 2019. Published by Oxford University Press.

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April 21, 2020

Graph analysis of fragmented long-read bacterial genome assemblies.

Long-read genome assembly tools are expected to reconstruct bacterial genomes nearly perfectly, however they still produce fragmented assemblies in some cases. It would be beneficial to understand whether these cases are intrinsically impossible to resolve, or if assemblers are at fault, implying that genomes could be refined or even finished with little to no additional experimental cost.We propose a set of computational techniques to assist inspection of fragmented bacterial genome assemblies, through careful analysis of assembly graphs. By finding paths of overlapping raw reads between pairs of contigs, we recover potential short-range connections between contigs that were lost during the assembly process. We show that our procedure recovers 45% of missing contig adjacencies in fragmented Canu assemblies, on samples from the NCTC bacterial sequencing project. We also observe that a simple procedure based on enumerating weighted Hamiltonian cycles can suggest likely contig orderings. In our tests, the correct contig order is ranked first in half of the cases and within the top-3 predictions in nearly all evaluated cases, providing a direction for finishing fragmented long-read assemblies.https://gitlab.inria.fr/pmarijon/knot.Supplementary data are available at Bioinformatics online. © The Author(s) (2019). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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April 21, 2020

Microbial diversity in the tick Argas japonicus (Acari: Argasidae) with a focus on Rickettsia pathogens.

The soft tick Argas japonicus mainly infests birds and can cause human dermatitis; however, no pathogen has been identified from this tick species in China. In the present study, the microbiota in A. japonicus collected from an epidemic community was explored, and some putative Rickettsia pathogens were further characterized. The results obtained indicated that bacteria in A. japonicus were mainly ascribed to the phyla Proteobacteria, Firmicutes and Actinobacteria. At the genus level, the male A. japonicus harboured more diverse bacteria than the females and nymphs. The bacteria Alcaligenes, Pseudomonas, Rickettsia and Staphylococcus were common in nymphs and adults. The abundance of bacteria belonging to the Rickettsia genus in females and males was 7.27% and 10.42%, respectively. Furthermore, the 16S rRNA gene of Rickettsia was amplified and sequenced, and phylogenetic analysis revealed that 13 sequences were clustered with the spotted fever group rickettsiae (Rickettsia heilongjiangensis and Rickettsia japonica) and three were clustered with Rickettsia limoniae, which suggested that the characterized Rickettsia in A. japonicus were novel putative pathogens and also that the residents were at considerable risk for infection by tick-borne pathogens. © 2019 The Royal Entomological Society.

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April 21, 2020

Genome sequence resources for four phytopathogenic fungi from the Colletotrichum orbiculare species complex.

Colletotrichum orbiculare species complex fungi are hemibiotrophic plant pathogens that cause anthracnose of field crops and weeds. Members of this group have genomes that are remarkably expanded relative to other Colletotrichum fungi and compartmentalized into AT-rich, gene poor and GC-rich, gene rich regions. Here we present an updated version of the Colletotrichum orbiculare genome, as well as draft genomes of three other members from the C. orbiculare species complex; the alfalfa pathogen Colletotrichum trifolii, the prickly mallow pathogen Colletotrichum sidae and the burweed pathogen Colletotrichum spinosum. The data reported here will be important for comparative genomics analyses to identify factors that play a role in the evolution and maintenance of the expanded, compartmentalized genomes of these fungi which may contribute to their pathogenicity.

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April 21, 2020

Pandemic spread of blaKPC-2 among Klebsiella pneumoniae ST11 in China is associated with horizontal transfer mediated by IncFII-like plasmids.

This study aimed to investigate the spread of the blaKPC-2 gene among Klebsiella pneumoniae and to illustrate the mechanism of dissemination of KPC-producing K. pneumoniae (KPC-Kp) ST11 in China.A total of 354 K. pneumoniae isolates were collected from four hospitals in China and were characterized by Multilocus sequence typing (MLST). Mobile genetic elements (MGEs) and pulsed-field gel electrophoresis (PFGE) analysis were used to identify the subtypes of K. pneumoniae ST11. PCR-based amplification and sequencing were performed to analyze Tn1721 transposons and IncFII-like plasmids. Electroporation experiments and whole-genome sequencing (WGS) analysis were used to reveal the genetic environment of the blaKPC-2 gene.As the primary type(87.1%) of KPC-Kp, K. pneumoniae ST11 was not predominant in nonKPC-Kp(3.1%). ST11 KPC-Kp was clonally heterogeneous and could be further classified into eleven MGE types and fourteen PFGE subtypes. Five Tn1721-blaKPC-2 variants were identified on IncFII-like plasmids. The detection rate of IncFII-like plasmids was much higher in ST11 KPC-Kp (100%) compared with non-ST11 KPC-Kp (16.0%) and the nonKPC-Kp group (7.5%). Moreover, the IncFII plasmid (with IIa replicon) was primarily detected on the MGE-F type (61.7%). The IncFIIk plasmid (with IIk replicon) was clustered into two subtypes: MGE-A (28.3%) and -F (41.5%). The detection of the IncFII and IncFIIk plasmids on MGE-A was 57.1% (20/35) and 42.9% (15/35), respectively.We revealed a close correlation between ST11 KPC-Kp and IncFII-like plasmids. Horizontal transfer mediated by IncFII-like plasmids plays an important role in the pandemic expansion of blaKPC-2 among K. pneumoniae ST11 in China. Copyright © 2019. Published by Elsevier B.V.

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April 21, 2020

Enrichment of oral microbiota in early cystic precursors to invasive pancreatic cancer.

Intraductal papillary mucinous neoplasms (IPMNs) are pancreatic cysts that can progress to invasive pancreatic cancer. Associations between oncogenesis and oral microbiome alterations have been reported. This study aims to investigate a potential intracystic pancreatic microbiome in a pancreatic cystic neoplasm (PCN) surgery patient cohort.Paired cyst fluid and plasma were collected at pancreatic surgery from patients with suspected PCN (n=105). Quantitative and qualitative assessment of bacterial DNA by qPCR, PacBio sequencing (n=35), and interleukin (IL)-1ß quantification was performed. The data were correlated to diagnosis, lesion severity and clinical and laboratory profile, including proton-pump inhibitor (PPI) usage and history of invasive endoscopy procedures.Intracystic bacterial 16S DNA copy number and IL-1ß protein quantity were significantly higher in IPMN with high-grade dysplasia and IPMN with cancer compared with non-IPMN PCNs. Despite high interpersonal variation of intracystic microbiota composition, bacterial network and linear discriminant analysis effect size analyses demonstrated co-occurrence and enrichment of oral bacterial taxa including Fusobacterium nucleatum and Granulicatella adiacens in cyst fluid from IPMN with high-grade dysplasia. The elevated intracystic bacterial DNA is associated with, but not limited to, prior exposure to invasive endoscopic procedures, and is independent from use of PPI and antibiotics.Collectively, these findings warrant further investigation into the role of oral bacteria in cystic precursors to pancreatic cancer and have added values on the aetiopathology as well as the management of pancreatic cysts. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

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April 21, 2020

Mce3R Stress-Resistance Pathway Is Vulnerable to Small-Molecule Targeting That Improves Tuberculosis Drug Activities.

One-third of the world’s population carries Mycobacterium tuberculosis ( Mtb), the infectious agent that causes tuberculosis (TB), and every 17 s someone dies of TB. After infection, Mtb can live dormant for decades in a granuloma structure arising from the host immune response, and cholesterol is important for this persistence of Mtb. Current treatments require long-duration drug regimens with many associated toxicities, which are compounded by the high doses required. We phenotypically screened 35 6-azasteroid analogues against Mtb and found that, at low micromolar concentrations, a subset of the analogues sensitized Mtb to multiple TB drugs. Two analogues were selected for further study to characterize the bactericidal activity of bedaquiline and isoniazid under normoxic and low-oxygen conditions. These two 6-azasteroids showed strong synergy with bedaquiline (fractional inhibitory concentration index = 0.21, bedaquiline minimal inhibitory concentration = 16 nM at 1 µM 6-azasteroid). The rate at which spontaneous resistance to one of the 6-azasteroids arose in the presence of bedaquiline was approximately 10-9, and the 6-azasteroid-resistant mutants retained their isoniazid and bedaquiline sensitivity. Genes in the cholesterol-regulated Mce3R regulon were required for 6-azasteroid activity, whereas genes in the cholesterol catabolism pathway were not. Expression of a subset of Mce3R genes was down-regulated upon 6-azasteroid treatment. The Mce3R regulon is implicated in stress resistance and is absent in saprophytic mycobacteria. This regulon encodes a cholesterol-regulated stress-resistance pathway that we conclude is important for pathogenesis and contributes to drug tolerance, and this pathway is vulnerable to small-molecule targeting in live mycobacteria.

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