Literature DB >> 31439707

Draft Genome Sequences of 14 Lactobacillus, Enterococcus, and Staphylococcus Isolates from the Nasopharynx of Healthy Feedlot Cattle.

Samat Amat1,2, Devin B Holman3, Edouard Timsit2, Katherine E Gzyl3, Trevor W Alexander4.   

Abstract

Here, we present the first draft genome sequences of 14 bacterial strains isolated from the nasopharynx of healthy feedlot cattle. These genomes are from 12 Lactobacillus isolates (L. amylovorus, L. buchneri, L. curvatus, and L. paracasei), 1 Enterococcus hirae isolate, and 1 Staphylococcus chromogenes isolate.
Copyright © 2019 Amat et al.

Entities:  

Year:  2019        PMID: 31439707      PMCID: PMC6706681          DOI: 10.1128/MRA.00534-19

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


ANNOUNCEMENT

The nasopharynx of feedlot cattle is inhabited by a rich and diverse microbial community (1). Within the nasopharynx, opportunistic bacterial pathogens involved in bovine respiratory disease (BRD), also known as shipping fever, are also present as part of the nasopharyngeal (NP) microbiota of healthy cattle. When cattle experience compromised immunity due to stress and viral infection, these respiratory pathogens can proliferate in the nasopharynx and translocate into the lung, where they can cause bronchopneumonia (2). Recent studies have suggested that certain members of the NP microbiota have an important role in maintaining respiratory health in feedlot cattle by providing resistance against colonization by BRD-associated pathogens (3, 4). Therefore, we recently isolated commensal bacteria from the nasopharynx of healthy feedlot cattle that may have potential for inhibition of bovine respiratory pathogens such as Mannheimia haemolytica. We selected 14 of these isolates for whole-genome sequencing. All bacteria were isolated using deep nasopharyngeal swabs from the nasopharynx of healthy feedlot cattle and were taxonomically identified by sequencing the nearly full-length bacterial 16S rRNA gene (>1,400 bp) as described previously (5). Biochemical identification was also performed on these isolates. In brief, the isolates were subcultured on Lactobacillus De Man, Rogosa, and Sharpe (MRS) agar (Dalynn Biologicals, Calgary, AB, Canada), and colony morphologies were observed after 24 to 48 h at 39°C. Anaerobic growth was also assessed on MRS agar or tryptic soy agar at 39°C in an anaerobic chamber with an atmosphere of 85% nitrogen, 10% hydrogen, and 5% CO2. Acid production from carbohydrates was determined with the API 50 CHL gallery (bioMérieux, Saint-Laurent, QC, Canada; Lactobacillus and Enterococcus) per the manufacturer’s instructions. Confirmatory identifications were obtained through comparison with published results. Each isolate was grown in Difco Lactobacilli MRS broth (BD, Mississauga, ON, Canada) at 37°C for 18 h and centrifuged at 13,000 × g for 5 min, and genomic DNA was extracted from the pellet using a DNeasy tissue kit (Qiagen, Inc., Mississauga, ON, Canada) as described previously (5). The concentration and quality of extracted genomic DNA were measured using a NanoDrop 2000 spectrometer (Thermo Fisher Scientific, Wilmington, DE, USA). Subsequently, the extracted DNA was purified and concentrated using the Genomic DNA Clean & Concentrator kit (Zymo Research, Irvine, CA, USA). Genomic libraries were prepared using a Nextera XT DNA library prep kit (Illumina, Inc., San Diego, CA, USA) and sequenced on an Illumina NextSeq 500 instrument with the 500/550 midoutput 300-cycle kit following the manufacturer’s instructions. Pre- and postprocessed reads were assessed for quality using FastQC v.0.11.1 (6). Trimmomatic v.0.38 (7) was used to remove sequencing adapters, reads with a quality score of less than 15 over a sliding window of 4 bp, and sequences shorter than 50 bp. The leading and trailing 15 bp were also removed from each sequence. Reads were assembled using SPAdes v.3.11.1 (8) with the default parameters in the “careful” mode, and the quality of the assemblies was determined using QUAST v.5.0.1 (9). The taxonomy of the assemblies was confirmed using Kraken 2 v.2.0.7beta and the minikraken2 database v.2 with the default parameters (10). Assemblies were then annotated using Prokka v.1.13.3 with the default parameters and a minimum contig length of 500 bp (11). The assembly statistics and number of coding sequences for each assembled genome are shown in Table 1. The draft genomes of these 14 isolates will be further characterized to evaluate encoded mechanisms that may lead to inhibition of the BRD pathogen M. haemolytica.
TABLE 1

Bovine nasopharyngeal Lactobacillus, Enterococcus, and Staphylococcus sp. assembly statistics with various read coverages

BioSample accession no.Sample IDaStrain IDaSpeciesGenome assembly no.SRA accession no.No. of contigsNo. of readsGenome size (bp)N50 value (bp)Avg coverage (×)No. of coding sequencesG+C content (%)
SAMN1145625764CS44E. hiraeGCA_005047985SRX5705612581,174,5012,782,597121,368632,52338
SAMN1145624672BS60L. amylovorusGCA_005049155SRX5705619741,341,5692,004,24048,1761002,01437.9
SAMN1145624765ES43L. buchneriGCA_005049145SRX5705609401,204,5172,498,525235,856722,36144.3
SAMN1145624838CS45L. buchneriGCA_005047285SRX5705611251,327,6002,493,955610,029802,42344.2
SAMN1145624986AS47L. buchneriGCA_005048055SRX570561327947,7722,445,621245,952582,30444.4
SAMN1145625065AS50L. buchneriGCA_005047235SRX5705608441,040,8702,544,838221,549612,41844.1
SAMN1145625186DS51L. buchneriGCA_005049245SRX5705607901,186,3912,535,18765,294702,44144.2
SAMN1145625367AS59L. buchneriGCA_005049205SRX5705620371,491,1082,542,267245,952882,41744.1
SAMN1145625665BS58L. buchneriGCA_005047575SRX5705617381,686,6892,505,127245,9771012,36044.3
SAMN1145625263AS53L. buchneriGCA_005047265SRX5705618381,672,4382,498,046245,9521002,36244.3
SAMN1145625565GS42L. buchneriGCA_005048025SRX570561038996,9182,497,693245,952602,35944.3
SAMN11456254103CS46L. curvatusGCA_005049195SRX5705614671,526,9571,871,41666,9281221,85741.9
SAMN114562593ES49L. paracaseiGCA_005049135SRX5705615921,375,1403,016,14286,730682,88846.2
SAMN1145625828CS48S. chromogenesGCA_005048075SRX5705616371,224,3732,392,851238,895772,33536.6

ID, identification.

Bovine nasopharyngeal Lactobacillus, Enterococcus, and Staphylococcus sp. assembly statistics with various read coverages ID, identification.

Data availability.

All raw genome sequences and draft genome assemblies have been deposited in the Sequence Read Archive and GenBank, respectively, under the accession numbers listed in Table 1.
  9 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  QUAST: quality assessment tool for genome assemblies.

Authors:  Alexey Gurevich; Vladislav Saveliev; Nikolay Vyahhi; Glenn Tesler
Journal:  Bioinformatics       Date:  2013-02-19       Impact factor: 6.937

3.  Prokka: rapid prokaryotic genome annotation.

Authors:  Torsten Seemann
Journal:  Bioinformatics       Date:  2014-03-18       Impact factor: 6.937

4.  Distinct bacterial metacommunities inhabit the upper and lower respiratory tracts of healthy feedlot cattle and those diagnosed with bronchopneumonia.

Authors:  Edouard Timsit; Matthew Workentine; Frank van der Meer; Trevor Alexander
Journal:  Vet Microbiol       Date:  2018-06-08       Impact factor: 3.293

Review 5.  Mannheimia haemolytica and bovine respiratory disease.

Authors:  J A Rice; L Carrasco-Medina; D C Hodgins; P E Shewen
Journal:  Anim Health Res Rev       Date:  2007-12       Impact factor: 2.615

6.  The nasopharyngeal microbiota of feedlot cattle that develop bovine respiratory disease.

Authors:  Devin B Holman; Tim A McAllister; Edward Topp; André-Denis G Wright; Trevor W Alexander
Journal:  Vet Microbiol       Date:  2015-07-28       Impact factor: 3.293

7.  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

8.  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

9.  The nasopharyngeal microbiota of feedlot cattle.

Authors:  Devin B Holman; Edouard Timsit; Trevor W Alexander
Journal:  Sci Rep       Date:  2015-10-26       Impact factor: 4.379

  9 in total
  1 in total

1.  Development of Bacterial Therapeutics against the Bovine Respiratory Pathogen Mannheimia haemolytica.

Authors:  Samat Amat; Edouard Timsit; Danica Baines; Jay Yanke; Trevor W Alexander
Journal:  Appl Environ Microbiol       Date:  2019-10-16       Impact factor: 4.792

  1 in total

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