ArticlePDF Available

Draft Genome Sequence of Multidrug-Resistant Vibrio parahaemolyticus Strain PH698, Infecting Penaeid Shrimp in the Philippines

Authors:

Abstract

The emergence of multidrug-resistant bacterial strains in diverse settings has been reported globally. In the Philippine shrimp aquaculture industry, antibiotics are used for the treatment of bacterial diseases during the production cycle. We report the draft genome of Vibrio parahaemolyticus PH698, a multidrug-resistant strain isolated from a Philippine shrimp farm.
Draft Genome Sequence of Multidrug-Resistant Vibrio
parahaemolyticus Strain PH698, Infecting Penaeid Shrimp in
the Philippines
Cynthia P. Saloma,
a,b
Sarah Mae U. Penir,
a,b
*Joseph Matthew R. Azanza,
a
Leobert D. dela Pena,
c
Roselyn C. Usero,
d
Nikko Alvin R. Cabillon,
c
*Angela Denise P. Bilbao,
c
*Edgar C. Amar
c
a
National Institute of Molecular Biology and Biotechnology, University of the Philippines, Diliman, Quezon City, Philippines
b
Philippine Genome Center, University of the Philippines, Diliman, Quezon City, Philippines
c
Southeast Asian Fisheries Development Center, Aquaculture Department, Tigbauan, Iloilo, Philippines
d
Negros Prawn Producers Cooperative (NPPC), Bacolod City, Negros Occidental, Philippines
ABSTRACT The emergence of multidrug-resistant bacterial strains in diverse set-
tings has been reported globally. In the Philippine shrimp aquaculture industry, anti-
biotics are used for the treatment of bacterial diseases during the production cycle.
We report the draft genome of Vibrio parahaemolyticus PH698, a multidrug-resistant
strain isolated from a Philippine shrimp farm.
Antibiotics are commonly used by aquaculture farmers to prevent and treat bacte-
rial infections in shrimp (1). The range of commonly used antibiotics varies widely
between shrimp-producing countries due to different management and regulation
practices. However, on account of extensive antibiotic use, there is an observable trend
of the emergence of antibiotic-resistant strains in shrimp farms (2, 3). In the Philippines,
there is no existing report of a multidrug-resistant Vibrio parahaemolyticus strain isolated
from shrimp. Here, we describe the draft genome sequence of V. parahaemolyticus
PH698, a multidrug-resistant strain isolated from the hepatopancreas of Penaeus van-
namei shrimp in a pond with an outbreak of unknown etiology.
Shrimp samples exhibiting clinical signs of disease were preferentially collected for
dissection and homogenization of their hepatopancreas. Serial dilutions of the hepa-
topancreas homogenate in sterile seawater were plated in nutrient agar (Pronadisa)
with 2% NaCl. The colony of Vibrio parahaemolyticus strain PH698 was isolated to
generate pure bacterial cultures. The isolated strain was grown overnight in nutrient
broth (Pronadisa) with 1.5% NaCl at 30°C. Automated genomic DNA extraction was
performed with the KingFisher cell and tissue DNA kit (Thermo Fisher Scientific). A
paired-end library was prepared from the genomic DNA using the Nextera XT library
preparation kit (Illumina) and was sequenced on the Illumina MiSeq platform (2
300 bp, MiSeq reagent kit v. 3) at the DNA Sequencing Core Facility, Philippine Genome
Center, at a coverage of 80.
The quality of the reads was checked and verified using FastQC (4). Adapter
sequences were removed from 2,662,434 paired-end reads using Cutadapt v. 1.18 (5).
The trimmed paired-end reads were assembled into 62 contigs (N
50
, 193,506 bp) longer
than 1,000 bp using SPAdes v. 3.13.0 (6) with k-mer sizes of 21, 33, 55, 77, 99, and 127
with mismatch correction. The largest contig has a length of 468,564 bp, and the total
assembly size is 5,342,783 bp. The GC content of the draft genome sequence of the
strain is 45.5%. The assignment of strain PH698 as V. parahaemolyticus was established
when the average nucleotide identity (ANI) values between the DNA sequence of the
isolate and other publicly available strains of the species were validated to be 95%
using the aniM option of calculate_ani.py (7). Annotation of the draft genome with the
Citation Saloma CP, Penir SMU, Azanza JMR,
dela Pena LD, Usero RC, Cabillon NAR, Bilbao
ADP, Amar EC. 2019. Draft genome sequence
of multidrug-resistant Vibrio parahaemolyticus
strain PH698, infecting penaeid shrimp in the
Philippines. Microbiol Resour Announc
8:e01040-19. https://doi.org/10.1128/MRA
.01040-19.
Editor Frank J. Stewart, Georgia Institute of
Technology
Copyright © 2019 Saloma et al. This is an
open-access article distributed under the terms
of the Creative Commons Attribution 4.0
International license.
Address correspondence to Cynthia P. Saloma,
cpsaloma@up.edu.ph, or Edgar C. Amar,
eamar@seafdec.org.ph.
*Present address: Sarah Mae U. Penir, Max
Planck Institute for Biophysical Chemistry,
Göttingen, Germany; Nikko Alvin R. Cabillon,
The Hebrew University of Jerusalem, Jerusalem,
Israel; Angela Denise P. Bilbao, Hain Celestial
Group, New York, New York, USA.
Received 6 September 2019
Accepted 21 October 2019
Published 21 November 2019
GENOME SEQUENCES
crossm
Volume 8 Issue 47 e01040-19 mra.asm.org 1
NCBI Prokaryotic Genome Annotation Pipeline (PGAP) v. 4.9 (8) led to the identification
of 5,084 coding sequences (CDSs), 104 tRNAs, 13 rRNAs, and 4 noncoding RNAs
(ncRNAs).
Detection of antibiotic resistance genes from the sequences in the Antibiotic Resistance
Gene-ANNOTation (ARG-ANNOT) database (9) in the raw reads of the strain was
executed using the default parameters of SRST2 v. 0.20 (10). V. parahaemolyticus strain
PH698 contains 8 antibiotic resistance genes, namely, aac3iv,ant3ia,dfra17,erea,
aph33ib,aph6id,sul2, and tetc. Altogether, the genes confer resistance for different
antibiotic classes, ranging from aminoglycosides (e.g., apramycin, dibekacin, gentami-
cin, netilmicin, sisomicin, spectinomycin, streptomycin, and tobramycin), trimethoprim,
macrolide-lincosamide-streptogramin (e.g., erythromycin), sulfonamides, and tetracy-
clines.
Data availability. The draft genome sequence and annotation of V. parahaemolyti-
cus PH698 have been deposited in GenBank under accession no. VSBR00000000 and
assembly accession no. GCF_008271865. Illumina reads have been deposited in the SRA
under accession no. SRR9870108.
ACKNOWLEDGMENTS
This research was conducted under the Philippine Shrimp Pathogenomics Program
and funded by the Department of Science and Technology-Philippine Council for
Agriculture, Aquatic, Natural Resources Research and Development (PCAARRD).
We acknowledge the help of the regional offices of the Bureau of Fisheries and
Aquatic Resources (BFAR) in the biosurveillance of shrimp disease outbreaks in the
Philippines.
REFERENCES
1. Letchumanan V, Chan KG, Lee LH. 2014. Vibrio parahaemolyticus: a
review on the pathogenesis, prevalence, and advance molecular
identification techniques. Front Microbiol 5:705. https://doi.org/10
.3389/fmicb.2014.00705.
2. Tendencia EA, de la Peña LD. 2001. Antibiotic resistance of bacteria from
shrimp ponds. Aquaculture 195:193–204. https://doi.org/10.1016/S0044
-8486(00)00570-6.
3. Tendencia EA, de la Peña LD. 2002. Level and percentage recovery of
resistance to oxytetracycline and oxolinic acid of bacteria from
shrimp ponds. Aquaculture 213:1–13. https://doi.org/10.1016/S0044
-8486(02)00017-0.
4. Babraham Bioinformatics. 2018. FastQC: a quality control tool for high
throughput sequence data. Babraham Institute, Cambridge, United
Kingdom. http://www.bioinformatics.babraham.ac.uk/projects/fastqc.
5. Martin M. 2011. Cutadapt removes adapter sequences from high-
throughput sequencing reads. EMBnet J 17:10 –12. https://doi.org/10
.14806/ej.17.1.200.
6. Nurk S, Bankevich A, Antipov D, Gurevich A, Korobeynikov A, Lapidus A,
Prjibelsky A, Pyshkin A, Sirotkin A, Sirotkin Y, Stepanauskas R, McLean J,
Lasken R, Clingenpeel SR, Woyke T, Tesler G, Alekseyev MA, Pevzner PA.
2013. Assembling genomes and mini-metagenomes from highly chime-
ric reads, p 158 –170. In Deng M, Jiang R, Sun F, Zhang X (ed), Research
in computational molecular biology. RECOMB 2013. Springer, Berlin,
Germany.
7. Pritchard L. 2013. Calculate ANI. https://github.com/widdowquinn/scripts/
blob/master/bioinformatics/calculate_ani.py.
8. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP,
Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI
Prokaryotic Genome Annotation Pipeline. Nucleic Acids Res 44:
6614 6624. https://doi.org/10.1093/nar/gkw569.
9. Gupta SK, Padmanabhan BR, Diene SM, Lopez-Rojas R, Kempf M, Lan-
draud L, Rolain JM. 2014. ARG-ANNOT, a new bioinformatic tool to
discover antibiotic resistance genes in bacterial genomes. Antimicrob
Agents Chemother 58:212–220. https://doi.org/10.1128/AAC.01310-13.
10. Inouye M, Dashnow H, Raven LA, Schultz MB, Pope BJ, Tomita T, Zobel
J, Holt KE. 2014. SRST2: rapid genomic surveillance for public health and
hospital microbiology labs. Genome Med 6:90. https://doi.org/10.1186/
s13073-014-0090-6.
Saloma et al.
Volume 8 Issue 47 e01040-19 mra.asm.org 2
Article
Full-text available
River ecosystems are very important parts of the water cycle and an excellent habitat, food, and drinking water source for many organisms, including humans. Antibiotics are emerging contaminants which can enter rivers from various sources. Several antibiotics and their related antibiotic resistance genes (ARGs) have been detected in these ecosystems by various research programs and could constitute a substantial problem. The presence of antibiotics and other resistance cofactors can boost the development of ARGs in the chromosomes or mobile genetic elements of natural bacteria in rivers. The ARGs in environmental bacteria can also be transferred to clinically important pathogens. However, antibiotics and their resistance genes are both not currently monitored by national or international authorities responsible for controlling the quality of water bodies. For example, they are not included in the contaminant list in the European Water Framework Directive or in the US list of Water-Quality Benchmarks for Contaminants. Although ARGs are naturally present in the environment, very few studies have focused on non-impacted rivers to assess the background ARG levels in rivers, which could provide some useful indications for future environmental regulation and legislation. The present study reviews the antibiotics and associated ARGs most commonly measured and detected in rivers, including the primary analysis tools used for their assessment. In addition, other factors that could enhance antibiotic resistance, such as the effects of chemical mixtures, the effects of climate change, and the potential effects of the coronavirus disease 2019 pandemic, are discussed. Environ Toxicol Chem 2022;00:1-27. © 2022 SETAC.
Article
Full-text available
Vibrio parahaemolyticus is a Gram-negative halophilic bacterium that is found in estuarine, marine and coastal environments. V. parahaemolyticus is the leading causal agent of human acute gastroenteritis following the consumption of raw, undercooked, or mishandled marine products. In rare cases, V. parahaemolyticus causes wound infection, ear infection or septicaemia in individuals with pre-existing medical conditions. V. parahaemolyticus has two hemolysins virulence factors that are thermostable direct hemolysin (tdh)-a pore-forming protein that contributes to the invasiveness of the bacterium in humans, and TDH-related hemolysin (trh), which plays a similar role as tdh in the disease pathogenesis. In addition, the bacterium is also encodes for adhesions and type III secretion systems (T3SS1 and T3SS2) to ensure its survival in the environment. This review aims at discussing the V. parahaemolyticus growth and characteristics, pathogenesis, prevalence and advances in molecular identification techniques.
Article
Full-text available
Rapid molecular typing of bacterial pathogens is critical for public health epidemiology, surveillance and infection control, yet routine use of whole genome sequencing (WGS) for these purposes poses significant challenges. Here we present SRST2, a read mapping-based tool for fast and accurate detection of genes, alleles and multi-locus sequence types (MLST) from WGS data. Using >900 genomes from common pathogens, we show SRST2 is highly accurate and outperforms assembly-based methods in terms of both gene detection and allele assignment. We include validation of SRST2 within a public health laboratory, and demonstrate its use for microbial genome surveillance in the hospital setting. In the face of rising threats of antimicrobial resistance and emerging virulence among bacterial pathogens, SRST2 represents a powerful tool for rapidly extracting clinically useful information from raw WGS data. Source code is available from http://katholt.github.io/srst2/. Electronic supplementary material The online version of this article (doi:10.1186/s13073-014-0090-6) contains supplementary material, which is available to authorized users.
Conference Paper
Full-text available
Recent advances in single-cell genomics provide an alternative to gene-centric metagenomics studies, enabling whole genome sequencing of uncultivated bacteria. However, single-cell assembly projects are challenging due to (i) the highly non-uniform read coverage, and (ii) a greatly elevated number of chimeric reads and read pairs. While recently developed single-cell assemblers have addressed the former challenge, methods for assembling highly chimeric reads remain poorly explored. We present algorithms for identifying chimeric edges and resolving complex bulges in de Bruijn graphs, which significantly improve single-cell assemblies. We further describe applications of the single-cell assembler SPAdes to a new approach for capturing and sequencing "dark matter of life" that forms small pools of randomly selected single cells (called a mini-metagenome) and further sequences all genomes from the mini-metagenome at once. We demonstrate that SPAdes enables sequencing mini-metagenomes and benchmark it against various assemblers. On single-cell bacterial datasets, SPAdes improves on the recently developed E+V-SC and IDBA-UD assemblers specifically designed for single-cell sequencing. For standard (multicell) datasets, SPAdes also improves on A5, ABySS, CLC, EULER-SR, Ray, SOAPdenovo, and Velvet.
Article
Full-text available
ARG-ANNOT (Antibiotic Resistance Gene-ANNOTation) is a new bioinformatic tool that was created to detect existing and putative new antibiotic resistance (AR) genes in bacterial genomes. ARG-ANNOT uses a local BLAST program in Bio-Edit software that allows the user to analyze sequences without a Web interface. All AR genetic determinants were collected from published works and online resources; nucleotide and protein sequences were retrieved from the NCBI GenBank database. After building a database that includes 1,689 antibiotic resistance genes, the software was tested in a blind manner using 100 random sequences selected from the database to verify that the sensitivity and specificity were at 100% even when partial sequences were queried. Notably, BLAST analysis results obtained using the rmtF gene sequence (a new aminoglycoside-modifying enzyme gene sequence that is not included in the database) as a query revealed that the tool was able to link this sequence to short sequences (17 to 40 bp) found in other genes of the rmt family with significant E values. Finally, the analysis of 178 Acinetobacter baumannii and 20 Staphylococcus aureus genomes allowed the detection of a significantly higher number of AR genes than the Resfinder gene analyzer and 11 point mutations in target genes known to be associated with AR. The average time for the analysis of a genome was 3.35 ± 0.13 min. We have created a concise database for BLAST using a Bio-Edit interface that can detect AR genetic determinants in bacterial genomes and can rapidly and easily discover putative new AR genetic determinants.
Article
Full-text available
Abstract Recent advances in single-cell genomics provide an alternative to largely gene-centric metagenomics studies, enabling whole-genome sequencing of uncultivated bacteria. However, single-cell assembly projects are challenging due to (i) the highly nonuniform read coverage and (ii) a greatly elevated number of chimeric reads and read pairs. While recently developed single-cell assemblers have addressed the former challenge, methods for assembling highly chimeric reads remain poorly explored. We present algorithms for identifying chimeric edges and resolving complex bulges in de Bruijn graphs, which significantly improve single-cell assemblies. We further describe applications of the single-cell assembler SPAdes to a new approach for capturing and sequencing "microbial dark matter" that forms small pools of randomly selected single cells (called a mini-metagenome) and further sequences all genomes from the mini-metagenome at once. On single-cell bacterial datasets, SPAdes improves on the recently developed E+V-SC and IDBA-UD assemblers specifically designed for single-cell sequencing. For standard (cultivated monostrain) datasets, SPAdes also improves on A5, ABySS, CLC, EULER-SR, Ray, SOAPdenovo, and Velvet. Thus, recently developed single-cell assemblers not only enable single-cell sequencing, but also improve on conventional assemblers on their own turf. SPAdes is available for free online download under a GPLv2 license.
Article
Recent technological advances have opened unprecedented opportunities for large-scale sequencing and analysis of populations of pathogenic species in disease outbreaks, as well as for large-scale diversity studies aimed at expanding our knowledge across the whole domain of prokaryotes. To meet the challenge of timely interpretation of structure, function and meaning of this vast genetic information, a comprehensive approach to automatic genome annotation is critically needed. In collaboration with Georgia Tech, NCBI has developed a new approach to genome annotation that combines alignment based methods with methods of predicting protein-coding and RNA genes and other functional elements directly from sequence. A new gene finding tool, GeneMarkS+, uses the combined evidence of protein and RNA placement by homology as an initial map of annotation to generate and modify ab initio gene predictions across the whole genome. Thus, the new NCBI's Prokaryotic Genome Annotation Pipeline (PGAP) relies more on sequence similarity when confident comparative data are available, while it relies more on statistical predictions in the absence of external evidence. The pipeline provides a framework for generation and analysis of annotation on the full breadth of prokaryotic taxonomy. For additional information on PGAP see https://www.ncbi.nlm.nih.gov/genome/annotation_prok/ and the NCBI Handbook, https://www.ncbi.nlm.nih.gov/books/NBK174280/.
Article
The bacterial level of the water, sediment and cultured shrimp (Penaeus monodon) from different ponds were determined using a general medium, a presumptive Vibrio medium and a presumptive Pseudomonas–Aeromonas medium. Samples were taken from ponds that had not used any antimicrobial, ponds that had previously used and also ponds that were currently using oxolinic acid (OXA). The bacterial level in the sediment was higher than in the water using all three media. More bacteria existed in the pond system than in the receiving environment. Shrimp hepatopancreas harbored more bacteria than the lymphoid organ. The Vibrio density of the pond and bacterial levels in the shrimp were correlated with the use of the antimicrobial. The Vibrio level of the pond samples and microbial density of shrimps were higher from ponds that had not used any antimicrobials.
Article
When small RNA is sequenced on current sequencing machines, the resulting reads are usually longer than the RNA and therefore contain parts of the 3' adapter. That adapter must be found and removed error-tolerantly from each read before read mapping. Previous solutions are either hard to use or do not offer required features, in particular support for color space data. As an easy to use alternative, we developed the command-line tool cutadapt, which supports 454, Illumina and SOLiD (color space) data, offers two adapter trimming algorithms, and has other useful features. Cutadapt, including its MIT-licensed source code, is available for download at http://code.google.com/p/cutadapt/
Article
The incidence of antibiotic resistance was compared in bacteria isolated from pond water, pond sediment, water and sediment from the receiving environment (area where water from pond drains, which is 0 and 50 m away from the exit gate, in this study) and cultured shrimp from ponds that have not used any antimicrobials, ponds that have previously used antimicrobials and ponds that are currently using oxolinic acid. Most of the bacteria isolated from all sample and pond type were Vibrios. Among the Vibrios, V. harveyi were most commonly isolated. Multiple antibiotic resistance (MAR) to at least two antimicrobials was highest in ponds currently using oxolinic acid (24% of bacteria isolated from such ponds), followed by those that have previously used antimicrobials (19%) and the least was those from ponds that have not used any antimicrobials (17%). The lowest incidence of antibiotic resistance was observed in ponds that have not used any antimicrobials (41% of the isolates from such ponds). Among the individual antibiotics, incidence of resistance to oxytetracycline was highest (4.3% of the total number of isolates) followed by furazolidone (1.6%), oxolinic acid (1%) and chloramphenicol (0.66%).Resistance to individual chemotherapeutants did not reflect the pattern of antimicrobial use with ponds that have previously used antimicrobials showing the highest incidence of resistance to one antimicrobial (12% of total isolates from such ponds). Resistance to both oxolinic acid and furazolidone (15% of total number of isolates) was highest compared to other antimicrobial resistance profiles (1–12%). Multiple antimicrobial resistance and intermediate reaction to at least one antimicrobial are associated with antimicrobial use.
FastQC: a quality control tool for high throughput sequence data
Babraham Bioinformatics. 2018. FastQC: a quality control tool for high throughput sequence data. Babraham Institute, Cambridge, United Kingdom. http://www.bioinformatics.babraham.ac.uk/projects/fastqc.