Literature DB >> 30701237

Genomic Sequence of a Megrivirus Strain Identified in Laying Hens in Brazil.

Priscilla F Gerber1, Huigang Shen2, Ying Zheng2, Ganwu Li2, Zélia I P Lobato3, Tanja Opriessnig2,4.   

Abstract

A new strain of chicken megrivirus was identified in fecal samples of layer chickens in a commercial flock in Minas Gerais, Brazil. It is most closely related to the family Picornaviridae, genus Megrivirus, species Melegrivirus A, and has an overall nucleotide identity of up to 85.1% with other megrivirus strains.

Entities:  

Year:  2019        PMID: 30701237      PMCID: PMC6346186          DOI: 10.1128/MRA.01438-18

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

The Picornaviridae family currently consists of 40 genera (1), with at least 13 of these genera identified from avian sources (2). Avian picornaviruses of the genera Megrivirus, Gallivirus, and Avisivirus have been frequently identified in healthy and diseased poultry (3–5). Recent metagenomics studies focusing on the poultry gut virome have identified an ever-growing number of enteric picornaviruses in fecal samples from broiler chickens (3–8). In this study, two pooled fecal samples (2 g of fresh fecal material from five sites each in two sheds) were collected from a 102-week-old and a 57-week-old commercial laying flock in Minas Gerais State, Southeast Brazil, in August 2012. No health problems had been reported in the examined flocks. Total nucleic acid was extracted from a 1:5 dilution of fecal samples using the MagMAX pathogen RNA/DNA kit (Thermo Fisher Scientific, MA) with KingFisher (Thermo Fisher Scientific) (9). Double-stranded cDNA was synthesized using the NEXTflex rapid transcriptome sequencing (RNA-seq) kit (Bioo Scientific Corp., TX). The sequencing library was prepared using the Nextera XT DNA library preparation kit (Illumina, CA) with dual indexing. The pooled libraries were sequenced on an Illumina MiSeq platform at the next-generation sequencing (NGS) lab located in the Veterinary Diagnostic Laboratory at Iowa State University, using the 300-cycle v2 reagent kit (Illumina) to generate 150 base-pair paired-end reads by following standard Illumina protocols. Raw reads of each sample were demultiplexed automatically on the MiSeq platform with the default settings. Raw sequencing reads were preprocessed using Trimmomatic v0.36 to remove adapters and trim low-quality ends (10). Raw reads and preprocessed reads were subjected to sequencing quality analysis with FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/) to ensure the efficiency of cleaning. Cleaned reads were fed to a comprehensive reference-assisted virus genome assembly pipeline (9, 11) with modifications. Briefly, the cleaned reads were aligned to the host reference genome using the Burrows-Wheeler Aligner MEM algorithm (BWA-MEM) (12); the nonhost reads were classified using Kraken v1.0 (13), and the unclassified reads were classified using Kaiju v1.6.2 (14); KronaTools v2.7 (15) was used to generate hierarchical classification results in which chicken picornavirus was identified; additional (supplementary) reads were collected before de novo assembly (9) by mapping the quality-trimmed reads to publicly available chicken picornavirus genomes using BWA-MEM (12), SAMtools (16), and seqtk (https://github.com/lh3/seqtk); contigs were assembled using Assembly by Short Sequences (ABySS) v1.3.9 (17); and the resulting contigs were manually curated to remove contaminated (nonviral) contigs and to trim chimeric (misassembled) contigs in the SeqMan Pro DNASTAR Lasergene 11 core suite. Eight contigs of chicken picornaviruses were assembled from the raw data (SRA accession no. SRR8290010) with an N50 value of 1,268 bp, and specific primers (provided upon request) were then designed to perform reverse transcriptase PCR (RT-PCR) and close the gaps by sequencing of the Nextera XT DNA library of the amplicon on a MiSeq platform (SRA accession no. SRR8290011). Finally, a near-complete sequence of a megrivirus, chicken picornavirus MG/9567, was identified with a genome length of 9,567 nucleotides. The genome had 78.3% nucleotide similarity with the reference Megrivirus C isolate BL 21 (GenBank accession no. KF961186). The chicken picornavirus MG/9567 genome shared the highest deduced polyprotein amino acid similarity (94.9%) with chicken picornavirus 5 isolate 27 (GenBank accession no. KF979336), which originated from a chicken sample collected in Hong Kong in 2008, and shared 87.7% amino acid (aa) identity with chicken megrivirus strain 3R, collected from a healthy chicken in Brazil in 2018 (GenBank accession no. MG846465). The genome nucleotide similarities were 85.2% and 78.3%, respectively.

Data availability.

The genome sequence reported here has been deposited in GenBank under the accession no. MH806866. The sequence data are available under SRA accession no. SRR8290010 and SRR8290011.
  17 in total

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Authors:  Jared T Simpson; Kim Wong; Shaun D Jackman; Jacqueline E Schein; Steven J M Jones; Inanç Birol
Journal:  Genome Res       Date:  2009-02-27       Impact factor: 9.043

Review 2.  Avian picornaviruses: molecular evolution, genome diversity and unusual genome features of a rapidly expanding group of viruses in birds.

Authors:  Ákos Boros; Péter Pankovics; Gábor Reuter
Journal:  Infect Genet Evol       Date:  2014-09-30       Impact factor: 3.342

3.  Chickens host diverse picornaviruses originated from potential interspecies transmission with recombination.

Authors:  Susanna K P Lau; Patrick C Y Woo; Cyril C Y Yip; Kenneth S M Li; Rachel Y Y Fan; Ru Bai; Yi Huang; Kwok-Hung Chan; Kwok-Yung Yuen
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4.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

5.  Identification and genetic characterization of a novel picornavirus from chickens.

Authors:  Susan Bullman; Karen Kearney; Michael O'Mahony; Lorraine Kelly; Paul Whyte; Seamus Fanning; John G Morgan
Journal:  J Gen Virol       Date:  2014-02-04       Impact factor: 3.891

6.  Interactive metagenomic visualization in a Web browser.

Authors:  Brian D Ondov; Nicholas H Bergman; Adam M Phillippy
Journal:  BMC Bioinformatics       Date:  2011-09-30       Impact factor: 3.307

7.  Comparative analysis of the intestinal bacterial and RNA viral communities from sentinel birds placed on selected broiler chicken farms.

Authors:  J Michael Day; Brian B Oakley; Bruce S Seal; Laszlo Zsak
Journal:  PLoS One       Date:  2015-01-30       Impact factor: 3.240

8.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

9.  Kraken: ultrafast metagenomic sequence classification using exact alignments.

Authors:  Derrick E Wood; Steven L Salzberg
Journal:  Genome Biol       Date:  2014-03-03       Impact factor: 13.583

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

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