Literature DB >> 32616650

Complete Genome Sequences of Seven Avibacterium paragallinarum Isolates from Poultry Farms in Pennsylvania, USA.

Maurice Byukusenge1, Ruth H Nissly1, Lingling Li1, Traci Pierre1, Tammy Mathews1, Eva Wallner-Pendleton1, Patricia Dunn1, Denise Barnhart2, Sean Loughrey2, Sherrill Davison2, Donna J Kelly2, Deepanker Tewari3, Bhushan M Jayarao1, Suresh V Kuchipudi4,5.   

Abstract

Avibacterium paragallinarum, the causative agent of infectious coryza, causes significant economic losses to the poultry industry due to increased culling rates in growing chickens and decreased egg production in layers. We present the complete genome sequences of seven strains of Avibacterium paragallinarum isolated from poultry farms in Pennsylvania during 2019.
Copyright © 2020 Byukusenge et al.

Entities:  

Year:  2020        PMID: 32616650      PMCID: PMC7330252          DOI: 10.1128/MRA.00654-20

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


ANNOUNCEMENT

Avibacterium paragallinarum, formerly classified as Haemophilus paragallinarum (1), causes infectious coryza (IC) in poultry. IC is a highly contagious respiratory disease of chickens resulting in high mortality, reduced egg production, and huge economic losses to the poultry industry worldwide (2–4). Since early 2019, there have been several outbreaks of IC in Pennsylvania. The complete genome sequences of seven Avibacterium paragallinarum isolates from these outbreaks were deposited in GenBank. Currently, there are very few whole-genome sequences of A. paragallinarum in public databases, and these genome sequences will facilitate further molecular epidemiologic analyses. Samples submitted to the Pennsylvania Animal Diagnostic Laboratory System (PADLS) from IC-suspected chickens were streaked onto chocolate agar and incubated for 24 h at 37°C with 5% CO2 (5). Isolated single colonies were grown overnight in brain heart infusion broth (BD) supplemented with chicken serum and NAD. Bacterial DNA was extracted using the Qiagen Genomic-tip 100/G following the manufacturer’s instructions. For each isolate, two sequencing platforms, MinION from Oxford Nanopore Technologies (ONT) and Illumina MiniSeq, were used to leverage the accuracy of the short reads from Illumina and the long reads from ONT. The Illumina Nextera DNA Flex library prep kit and 1D native barcoding genomic DNA protocol (EXP-NBD104 and SQK-LSK109; Oxford Nanopore Technologies) were used to prepare the library for Illumina and MinION sequencing, respectively. The quality of the Illumina short reads (150 bp) was assessed using FastQC version 0.11.9 (6), and no further quality control was required. The ONT reads were base called using Guppy version 3.1.5 (available on the ONT community website). The program was run in “fast” mode with the option to simultaneously demultiplex the reads with barcode sequences. Filtlong version 0.2.0 (7) was used for quality control of the ONT reads. The options were set to filter out the smaller reads and trim off the regions with the lowest quality scores. This resulted in a total of 350 Mbp (coverage, ∼145×) of the longest reads with the highest quality scores. Unicycler version 0.4.8 (8), with default options, was used to perform de novo hybrid assembly. For each genome, the assembly resulted in a single circular contig, which was rotated to allow all genomes to start at the same site (the DnaA gene). The assembled genomes were submitted to GenBank and were annotated using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) (9). These isolates were previously identified by matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry and were later identified by in silico species identification using KmerFinder (10). FastANI (11) was used to calculate the average nucleotide identity (ANI) values between the genome sequences. The ANI values between all of the genomes reported here are above 99.99% and are closer to those of two genomes from Peru, strains 72 (ANI, 99.86%) and FARPER-174 (ANI, 99.74%) (12, 13), and strain AVPG2015 from Mexico (ANI, 99.88%).

Data availability.

These data were deposited in the NCBI GenBank database under the BioProject accession no. PRJNA625662. The complete sequences and their corresponding raw reads have been deposited in GenBank and the SRA, and the details are provided in Table 1.
TABLE 1

Metrics and accession numbers of genome sequences of Avibacterium paragallinarum isolates from Pennsylvania

IsolateGenome size (bp)GC content (%)Total no. of genesIllumina data:
Oxford Nanopore data:
SRA accession no.GenBank accession no.
Total no. of reads (bp)Avg read length (bp)Avg coverage (×)Total no. of readsN50 (bp)Avg coverage (×)
ADL-AP012,415,54240.912,330821,85614850126,64814,949400SRS6501300CP051642
ADL-AP022,416,18740.922,328988,64214861143,61214,599443SRS6501303CP051641
ADL-AP072,415,99340.912,2301,034,01014863203,88913,633599SRS6501304CP051640
ADL-AP102,415,55240.912,334554,65614834228,21313,294523SRS6501305CP051639
ADL-AP152,415,95040.922,337697,44214843155,61213,500450SRS6501306CP051638
ADL-AP162,415,85540.912,3312,170,560147132281,17413,210610SRS6501301CP051637
ADL-AP172,415,69940.912,3312,671,088148164115,99815,175378SRS6501302CP051636
Metrics and accession numbers of genome sequences of Avibacterium paragallinarum isolates from Pennsylvania
  11 in total

1.  Benchmarking of methods for genomic taxonomy.

Authors:  Mette V Larsen; Salvatore Cosentino; Oksana Lukjancenko; Dhany Saputra; Simon Rasmussen; Henrik Hasman; Thomas Sicheritz-Pontén; Frank M Aarestrup; David W Ussery; Ole Lund
Journal:  J Clin Microbiol       Date:  2014-02-26       Impact factor: 5.948

2.  Antimicrobial susceptibility, plasmid profiles and haemocin activities of Avibacterium paragallinarum strains.

Authors:  Yuan-Man Hsu; Happy K Shieh; Wei-Hao Chen; Tsung-Yu Sun; Jia-Hsiang Shiang
Journal:  Vet Microbiol       Date:  2007-04-19       Impact factor: 3.293

3.  Characterization of an Outbreak of Infectious Coryza (Avibacterium paragallinarum) in Commercial Chickens in Central California.

Authors:  Manuela Crispo; Patrick Blackall; Aatif Khan; H L Shivaprasad; Kristin Clothier; C Gabriel Sentíes-Cué; George Cooper; Julia Blakey; Maurice Pitesky; Grace Mountainspring; Gregg Cutler; Arthur Bickford; Simone Stoute
Journal:  Avian Dis       Date:  2019-09-01       Impact factor: 1.577

4.  Antimicrobial susceptibility of Avibacterium paragallinarum isolates from outbreaks of infectious coryza in Dutch commercial poultry flocks, 2008-2017.

Authors:  Annet Heuvelink; Jeanine Wiegel; Corinna Kehrenberg; Remco Dijkman; Edgardo Soriano-Vargas; Anneke Feberwee
Journal:  Vet Microbiol       Date:  2018-03-14       Impact factor: 3.293

5.  Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads.

Authors:  Ryan R Wick; Louise M Judd; Claire L Gorrie; Kathryn E Holt
Journal:  PLoS Comput Biol       Date:  2017-06-08       Impact factor: 4.475

6.  High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries.

Authors:  Chirag Jain; Luis M Rodriguez-R; Adam M Phillippy; Konstantinos T Konstantinidis; Srinivas Aluru
Journal:  Nat Commun       Date:  2018-11-30       Impact factor: 14.919

7.  Genomic Islands in the Full-Genome Sequence of an NAD-Hemin-Independent Avibacterium paragallinarum Strain Isolated from Peru.

Authors:  Luis Tataje-Lavanda; Ángela Montalván; Ricardo Montesinos; Vladimir Morales-Erasto; Mirko Zimic-Peralta; Manolo Fernández-Sánchez; Manolo Fernández-Díaz
Journal:  Microbiol Resour Announc       Date:  2019-04-18

8.  Genome sequence and comparative analysis of Avibacterium paragallinarum.

Authors:  David Requena; Ana Chumbe; Michael Torres; Ofelia Alzamora; Manuel Ramirez; Hugo Valdivia-Olarte; Andres Hazaet Gutierrez; Ray Izquierdo-Lara; Luis Enrique Saravia; Milagros Zavaleta; Luis Tataje-Lavanda; Ivan Best; Manolo Fernández-Sánchez; Eliana Icochea; Mirko Zimic; Manolo Fernández-Díaz
Journal:  Bioinformation       Date:  2013-06-08

9.  Detection of Avibacterium paragallinarum by Polymerase chain reaction from outbreaks of Infectious coryza of poultry in Andhra Pradesh.

Authors:  T M Nabeel Muhammad; B Sreedevi
Journal:  Vet World       Date:  2015-01-29

10.  NCBI prokaryotic genome annotation pipeline.

Authors:  Tatiana Tatusova; Michael DiCuccio; Azat Badretdin; Vyacheslav Chetvernin; Eric P Nawrocki; Leonid Zaslavsky; Alexandre Lomsadze; Kim D Pruitt; Mark Borodovsky; James Ostell
Journal:  Nucleic Acids Res       Date:  2016-06-24       Impact factor: 16.971

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  1 in total

1.  A Highly Sensitive and Specific Probe-Based Real-Time PCR for the Detection of Avibacterium paragallinarum in Clinical Samples From Poultry.

Authors:  Suresh V Kuchipudi; Michele Yon; Meera Surendran Nair; Maurice Byukusenge; Rhiannon M Barry; Ruth H Nissly; Jen Williams; Traci Pierre; Tammy Mathews; Eva Walner-Pendleton; Patricia Dunn; Denise Barnhart; Sean Loughrey; Sherrill Davison; Dona J Kelly; Deepanker Tewari; Bhushan M Jayarao
Journal:  Front Vet Sci       Date:  2021-04-12
  1 in total

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