scholarly journals High Diversity of Human Non-Polio Enterovirus Serotypes Identified in Contaminated Water in Nigeria

Viruses ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 249 ◽  
Author(s):  
Manasi Majumdar ◽  
Dimitra Klapsa ◽  
Thomas Wilton ◽  
Erika Bujaki ◽  
Maria Dolores Fernandez-Garcia ◽  
...  
Keyword(s):  
Genome Structure ◽  
Contaminated Water ◽  
Whole Genome ◽  
Sequencing Analysis ◽  
Clinical Syndromes ◽  
Drainage Channels ◽  
Next Generation Sequencing Analysis ◽  
First Time ◽  
Enterovirus Serotypes ◽  
Generation Sequencing

Human enteroviruses (EVs) are highly prevalent in sewage and have been associated with human diseases with complications leading to severe neurological syndromes. We have used a recently developed molecular method to investigate the presence of EVs in eight samples collected in 2017–2018 from water streams contaminated by drainage channels in three different locations in Nigeria. A total of 93 human EV strains belonging to 45 different serotypes were identified, far exceeding the number of strains and serotypes found in similar samples in previous studies. Next generation sequencing analysis retrieved whole-capsid genomic nucleotide sequences of EV strains belonging to all four A, B, C, and D species. Our results further demonstrate the value of environmental surveillance for the detection of EV transmission of both serotypes commonly associated with clinical syndromes, such as EV-A71, and those that appear to circulate silently but could eventually cause outbreaks and disease. Several uncommon serotypes, rarely reported elsewhere, were detected such as EV-A119, EV-B87, EV-C116, and EV-D111. Ten EV serotypes were detected in Nigeria for the first time and two of them, CV-A12 and EV-B86, firstly described in Africa. This method can be expanded to generate whole-genome EV sequences as we show here for one EV-D111 strain. Our data revealed phylogenetic relationships of Nigerian sewage strains with EV strains reported elsewhere, mostly from African origin, and provided new insights into the whole-genome structure of emerging serotype EV-D111 and recombination events among EV-D serotypes.

scholarly journals Next-Generation Sequencing Analysis of the Tineola bisselliella Larval Gut Transcriptome Reveals Candidate Enzymes for Keratin Digestion

Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1113
Author(s):  
Michael Schwabe ◽  
Sven Griep ◽  
Henrike Schmidtberg ◽  
Rudy Plarre ◽  
Alexander Goesmann ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Disulfide Bonds ◽  
Differentially Expressed ◽  
Intestinal Microbiome ◽  
Sequencing Analysis ◽  
High Quality ◽  
Transcriptomic Data ◽  
Next Generation Sequencing Analysis ◽  
Generation Sequencing ◽  
Tineola Bisselliella

The clothes moth Tineola bisselliella is one of a few insects that can digest keratin, leading to the destruction of clothing, textiles and artwork. The mechanism of keratin digestion is not yet fully understood, partly reflecting the lack of publicly available genomic and transcriptomic data. Here we present a high-quality gut transcriptome of T. bisselliella generated from larvae reared on keratin-rich and keratin-free diets. The overall transcriptome consists of 428,221 contigs that were functionally annotated and screened for candidate enzymes involved in keratin utilization. As a mechanism for keratin digestion, we identified cysteine synthases, cystathionine β-synthases and cystathionine γ-lyases. These enzymes release hydrogen sulfite, which may reduce the disulfide bonds in keratin. The dataset also included 27 differentially expressed contigs with trypsin domains, among which 20 were associated with keratin feeding. Finally, we identified seven collagenases that were upregulated on the keratin-rich diet. In addition to this enzymatic repertoire potentially involved in breaking down keratin, our analysis of poly(A)-enriched and poly(A)-depleted transcripts suggested that T. bisselliella larvae possess an unstable intestinal microbiome that may nevertheless contribute to keratin digestion.

scholarly journals MicroRNAs from Snellenius manilae bracovirus regulate innate and cellular immune responses of its host Spodoptera litura

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Cheng-Kang Tang ◽  
Chih-Hsuan Tsai ◽  
Carol-P. Wu ◽  
Yu-Hsien Lin ◽  
Sung-Chan Wei ◽  
...  
Keyword(s):  
Immune Responses ◽  
Spodoptera Litura ◽  
Molecular Mechanisms ◽  
Innate Immune ◽  
Sequencing Analysis ◽  
Innate Immune Responses ◽  
Cellular Immune Responses ◽  
Next Generation Sequencing Analysis ◽  
Cellular Immune ◽  
Generation Sequencing

AbstractTo avoid inducing immune and physiological responses in insect hosts, parasitoid wasps have developed several mechanisms to inhibit them during parasitism, including the production of venom, specialized wasp cells, and symbioses with polydnaviruses (PDVs). These mechanisms alter the host physiology to give the wasp offspring a greater chance of survival. However, the molecular mechanisms for most of these alterations remain unclear. In the present study, we applied next-generation sequencing analysis and identified several miRNAs that were encoded in the genome of Snellenius manilae bracovirus (SmBV), and expressed in the host larvae, Spodoptera litura, during parasitism. Among these miRNAs, SmBV-miR-199b-5p and SmBV-miR-2989 were found to target domeless and toll-7 in the host, which are involved in the host innate immune responses. Microinjecting the inhibitors of these two miRNAs into parasitized S. litura larvae not only severely decreased the pupation rate of Snellenius manilae, but also restored the phagocytosis and encapsulation activity of the hemocytes. The results demonstrate that these two SmBV-encoded miRNAs play an important role in suppressing the immune responses of parasitized hosts. Overall, our study uncovers the functions of two SmBV-encoded miRNAs in regulating the host innate immune responses upon wasp parasitism.

scholarly journals Diagnosis of Severe Tetanus Assisted by Next-Generation Sequencing Analysis of Etiology: A Case Report

2020 ◽  
Author(s):  
Yuling An ◽  
Mingming Fan ◽  
Ziyu Li ◽  
You Peng ◽  
Xiaomeng Yi ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Comprehensive Treatment ◽  
Sequencing Analysis ◽  
Next Generation ◽  
Next Generation Sequencing Analysis ◽  
Autonomic Instability ◽  
The Right ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing ◽  
Severe Tetanus

Abstract We shared our successful treatment experience of a severe tetanus patient in China. A 50 year old male patient was admitted to our hospital 10 days after the right arm injury due to pain and masticatory weakness. The pathogen of wound secretion was confirmed to be clostridium tetanus by next-generation sequencing (NGS).The patient's condition rapidly progressed to a severe state with autonomic instability. After debridement and comprehensive treatment in ICU, including deep analgesia and sedation with dexmedetomidine, ventilator support and anti-infection treatment, the patient finally recovered and discharged. This case suggested that early diagnosis and reasonable intervention of severe tetanus could reduce mortality.

scholarly journals ViennaNGS: A toolbox for building efficient next- generation sequencing analysis pipelines

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 50 ◽  
Author(s):  
Michael T. Wolfinger ◽  
Jörg Fallmann ◽  
Florian Eggenhofer ◽  
Fabian Amman
Keyword(s):  
Next Generation Sequencing ◽  
Sequence Motif ◽  
Software Components ◽  
Sequencing Analysis ◽  
Next Generation ◽  
File Formats ◽  
Next Generation Sequencing Analysis ◽  
Next Generation Sequencing Ngs ◽  
Ngs Data ◽  
Generation Sequencing

Recent achievements in next-generation sequencing (NGS) technologies lead to a high demand for reuseable software components to easily compile customized analysis workflows for big genomics data. We present ViennaNGS, an integrated collection of Perl modules focused on building efficient pipelines for NGS data processing. It comes with functionality for extracting and converting features from common NGS file formats, computation and evaluation of read mapping statistics, as well as normalization of RNA abundance. Moreover, ViennaNGS provides software components for identification and characterization of splice junctions from RNA-seq data, parsing and condensing sequence motif data, automated construction of Assembly and Track Hubs for the UCSC genome browser, as well as wrapper routines for a set of commonly used NGS command line tools.

Next generation sequencing analysis of patients with Mendelian obesity

2019 ◽  
Vol 305 ◽  
pp. S7
Author(s):  
S. Paolacci ◽  
P.E. Maltese ◽  
E. Manara ◽  
G. Iarossi ◽  
L. Ziccardi ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Sequencing Analysis ◽  
Next Generation ◽  
Next Generation Sequencing Analysis ◽  
Generation Sequencing
Sign in / Sign up

Export Citation Format

Share Document