Literature DB >> 35252492

Draft genome sequence of myo-inositol utilizing Aeromonas dhakensis 1P11S3 isolated from striped catfish (Pangasianodon hypopthalmus) in a local fish farm in Malaysia.

Mohamad Azzam-Sayuti1,2, Md Yasin Ina-Salwany1,2, Mohd Zamri-Saad1,3, Salleh Annas1,3, Mark R Liles4, Tingbi Xu4, Mohammad Noor Azmai Amal1,5, Mohd Termizi Yusof6.   

Abstract

A hypervirulent pathotype of A. hydrophila (vAh) is responsible for Motile Aeromonas Septicemia (MAS) and causes mass mortalities among farmed carp and catfish species in the USA and China. One unique phenotype for vAh among other A. hydrophila strains is the ability to utilize myo-inositol as a sole carbon source. While screening for Aeromonas isolates from diseased fish that can grow using myo-inositol as a sole carbon source, A. dhakensis 1P11S3 was isolated from the spleen of striped catfish (Pangasianodon hypopthalmus) displaying clinical MAS symptoms from a freshwater farm in Malaysia. Aeromonas dhakensis is also an important pathogen in aquaculture, and in this study, we report the draft genome sequence for A. dhakensis 1P11S3, that utilize myo-inositol as a sole carbon source.
© 2022 The Author(s). Published by Elsevier Inc.

Entities:  

Keywords:  A. dhakensis; Draft genome; Malaysia; myo-inositol

Year:  2022        PMID: 35252492      PMCID: PMC8889345          DOI: 10.1016/j.dib.2022.107974

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table

Value of the Data

The draft genome of A. dhakensis 1P11S3, isolated from cultured freshwater fish will be useful for further research on the influence of myo-inositol catabolism to the virulence of A. dhakensis. Data from A. dhakensis 1P11S3 will facilitate understanding of lateral gene transfer of myo-inositol catabolism genes Data on the genome sequence of A. dhakensis 1P11S3 can be used for comparative genomic studies with other Aeromonas spp. disease isolates, including vAh strains. Data on the genome sequence of A. dhakensis 1P11S3 could be used to identify and characterize important virulence factors that contribute to pathogenesis.

Data Description

A hypervirulent pathotype of A. hydrophila, vAh strains have been responsible for huge losses suffered by the catfish and cyprinid fish industry in USA and China [1,2]. The ability to utilize myo-inositol as a growth substrate has been reported to be present in all vAh strains and has not previously been reported among non-vAh strains [3]. This ability has also been linked to contributing to its virulence since myo-inositol utilization could allow persistence of A. hydrophila strains, and the transcriptional regulator IolR, an important negative regulator of myo-inositol pathway has been found to regulate autoaggregation and biofilm formation [3,4]. Therefore, this trait has been used as a key determinant to identify vAh that is also considered to be a primary pathogen [1], unlike typical A. hydrophila globally that are considered opportunistic and secondary pathogens [1,2]. Aeromonas dhakensis has also been recognized as a significant pathogen in the field of aquaculture. The bacterium is as one of the Aeromonas species that is responsible for motile Aeromonas septicemia (MAS) [1], and have been reported to be more virulent than some A. hydrophila strains [5]. To the author's knowledge, there are no studies that have reported A. dhakensis that could utilize myo-inositol. The draft genome sequence for A. hydrophila 1P11S3 was deposited in GenBank under accession number JADPIC000000000. In total, 4,884,279 bp of total bases were assembled with 43 total scaffolds with a N50 value of 885,649 with 61.55% G+C content (Table 1, Fig. 1). The genome was predicted to encode 4,391 coding genes, whereas the total non-coding RNA was 182. The major class of carbohydrate-active enzyme was found to be glycosyl transferase (GT; 47.5%), followed by glycoside hydrolases (GH; 25.7%), carbohydrate-binding molecules (CBM; 18.1%), carbohydrate esterases (CE; 7.8%), auxiliary activities (AA; 0.6%) and polysaccharide lyases (PL; 0.2%). The percentage of gene functions present in A. dhakensis 1P11S3 in each of six major categories is as follows: general function (11.7%), amino acid transport and metabolism (9.6%), signal transduction mechanisms (7.5%), transcription (7.4%), energy production and conversion (6.2%), and carbohydrate transport and conversion (5.6%). The least categories (0.1%) were extracellular structures, chromatin structure and dynamics, and RNA processing and modification.
Table 1

Genome features of A. dhakensis 1P11S3.

AttributeA. dhakensis 1P11S3 value
Genome size (bp)4,884,279
Number of scaffolds43
N50 (bp)885649
GC content (%)61.55
Predicted coding genes4391
Predicted non-coding RNA182
GenBank accessionJADPIC000000000
BioSample accessionSAMN16824286
BioProject accessionPRJNA679132
Fig. 1

Circular representation of the A. dhakensis 1P11S3 genome. From the outside to the center of the diagram, the circles show the following: circle 1, coding region (CDS) (tRNA shown in purple, rRNA shown in orange and tmRNA shown in light green); circle 2, open reading frame (ORF); circle 3, scaffolds; circle 4, GC contents; circle 5, GC skew (G+C shown in green, G-C shown in purple); circle 6, blast comparison with A. dhakensis CIP 107500 (T).

Genome features of A. dhakensis 1P11S3. Circular representation of the A. dhakensis 1P11S3 genome. From the outside to the center of the diagram, the circles show the following: circle 1, coding region (CDS) (tRNA shown in purple, rRNA shown in orange and tmRNA shown in light green); circle 2, open reading frame (ORF); circle 3, scaffolds; circle 4, GC contents; circle 5, GC skew (G+C shown in green, G-C shown in purple); circle 6, blast comparison with A. dhakensis CIP 107500 (T). KEGG pathway analysis revealed that A. dhakensis 1P11S3 has all the proteins necessary for a complete myo-inositol metabolism (Fig. 2), in concordance with A. hydrophila ML09-119 (vAh) (accession no: CP005966.1, https://www.kegg.jp/kegg-bin/show_pathway?ahy00562), with the extra predicted ability to utilize scyllo-inositol, which was apparently not present in A. hydrophila ML09-119.
Fig. 2

The proposed KEGG pathway for inositol catabolism. Highlighted red boxes indicate the proteins expressed by the A. dhakensis 1P11S3 that are involved in the utilization of myo-inositol.

The proposed KEGG pathway for inositol catabolism. Highlighted red boxes indicate the proteins expressed by the A. dhakensis 1P11S3 that are involved in the utilization of myo-inositol.

Experimental Design, Materials and Methods

Aeromonas dhakensis 1P11S3 was previously isolated from the spleen of cultured striped catfish (Pangasianodon hypopthalmus) in a fish farm in Kelantan, Malaysia, which displayed clinical signs of MAS such as fin and tail rot, hemorrhagic scale and eye, and loss of scale [6]. For the genome analysis, the purified strain of A. dhakensis 1P11S3 was inoculated in 1 mL of TSB and incubated overnight at 30°C. Later, DNA extraction was done using a DNA purification kit (Promega, Inc., Madison, WI, USA) according to the manufacturer's protocol. The DNA concentration and quality were determined using Qubit 3.0 Fluorometer (Invitrogen, Carlsbad, CA, USA). Libraries with different indices were multiplexed and loaded onto an Illumina HiSeq instrument according to the manufacturer's instructions (Illumina, San Diego, CA, USA) and the genome was sequenced using a 2 × 150 paired-end sequencing kit. A total of 19,649,882 clean reads (out of 19,688,664 raw reads) were generated and were trimmed of low-quality bases and reads using cutadapt v1.9.1. The final scaffold was then assembled using velvet, and the gaps were filled with SSPACE v3.0 and GapFiller v1-10 [7], [8], [9], [10]. A reference genome, A. dhakensis CIP 107500 (type strain) (accession no: CDBH00000000.1), was used to assemble the A. dhakensis 1P11S3 genome into scaffolds. Using the default setting of the program tRNAscan-SE v2.0, transfer RNAs (tRNAs) were detected [11]. The coding genes of the bacteria were predicted using the Prodigal v2.6.3 and were annotated with National Center for Biotechnology (NCBI) (https://github.com/hyattpd/Prodigal). Their functions were annotated by Gene Ontology (GO) database, pathways were annotated by Kyoto Encyclopedia of Genes and Genomes (KEGG) and phylogenetic classification of the proteins encoded by genes was done by the Cluster of Orthologous Groups [12], [13], [14].

CRediT Author Statement

Mohamad Azzam-Sayuti: Methodology, Investigation, Formal analysis, Writing – original draft; Md Yasin Ina-Salwany: Supervision, Data Curation, Writing – review & editing; Mohd Zamri-Saad: Supervision, Data Curation, Writing – review & editing; Salleh Annas: Supervision, Writing – review & editing; Mark R. Liles: Data Curation, Writing – Review & editing; Tingbi Xu: Methodologies, Data Curation; Mohammad Noor Azmai Amal: Supervision, Writing – review & editing; Mohd Termizi Yusof: Supervision, Data Curation, Writing – review & editing.

Ethical Statement

Not applicable.

Declaration of Competing Interest

The authors declared that they have no known competing interests or personal relationships that could have affected the work reported in this paper.
SubjectBiology
Specific subject areaMicrobiology, Genomics, Biotechnology
Type of dataTable, figures
How data were acquiredThe draft genome sequence was processed using Illumina HiSeq instrument
Data formatRaw, analyzed and deposited
Parameters for data collectionAeromonas dhakensis 1P11S3 was isolated from the spleen of cultured striped catfish (Pangasianodon hypopthalmus) in Malaysia. Genomic DNA extraction and sequencing were performed.
Description of data collectionAeromonas dhakensis 1P11S3 was able to grow in M9 agar with myo-inositol as a sole carbon source. Genomic DNA was isolated from a pure culture of A.dhakensis 1P11S3
Data source locationAeromonas dhakensis 1P11S3 was isolated from the spleen of cultured striped catfish (Pangasianodon hypopthalmus) in Tumpat, Kelantan, Malaysia. Latitude and longitude: 6.196106 N 102.148057 E
Data accessibilityData are publicly available at NCBI GenBankhttps://www.ncbi.nlm.nih.gov/assembly/GCA_015666195.1https://www.ncbi.nlm.nih.gov/biosample/SAMN16824286https://www.ncbi.nlm.nih.gov/bioproject/PRJNA679132https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA679132
Related research articleM. Azzam-Sayuti, M.Y. Ina-Salwany, M. Zamri-Saad, M.T. Yusof, S. Annas, M.Y. Najihah, et al., The prevalence, putative virulence genes, and antibiotic resistance profiles of Aeromonas spp. isolated from cultivated freshwater fish in Peninsular Malaysia, Aquaculture 540 (2021) 736719. DOI: https://doi.org/10.1016/j.aquaculture.2021.736719
  13 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  Scaffolding pre-assembled contigs using SSPACE.

Authors:  Marten Boetzer; Christiaan V Henkel; Hans J Jansen; Derek Butler; Walter Pirovano
Journal:  Bioinformatics       Date:  2010-12-12       Impact factor: 6.937

3.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

4.  Expanded microbial genome coverage and improved protein family annotation in the COG database.

Authors:  Michael Y Galperin; Kira S Makarova; Yuri I Wolf; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 16.971

5.  Farm size, seining practices, and salt use: risk factors for Aeromonas hydrophila outbreaks in farm-raised catfish, Alabama, USA.

Authors:  Julie Bebak; Bruce Wagner; Brian Burnes; Terry Hanson
Journal:  Prev Vet Med       Date:  2014-11-08       Impact factor: 2.670

6.  Toward almost closed genomes with GapFiller.

Authors:  Marten Boetzer; Walter Pirovano
Journal:  Genome Biol       Date:  2012-06-25       Impact factor: 13.583

Review 7.  Aeromonas dhakensis, an Increasingly Recognized Human Pathogen.

Authors:  Po-Lin Chen; Brigitte Lamy; Wen-Chien Ko
Journal:  Front Microbiol       Date:  2016-05-27       Impact factor: 5.640

8.  tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes.

Authors:  Todd M Lowe; Patricia P Chan
Journal:  Nucleic Acids Res       Date:  2016-05-12       Impact factor: 16.971

9.  Classification of a Hypervirulent Aeromonas hydrophila Pathotype Responsible for Epidemic Outbreaks in Warm-Water Fishes.

Authors:  Cody R Rasmussen-Ivey; Mohammad J Hossain; Sara E Odom; Jeffery S Terhune; William G Hemstreet; Craig A Shoemaker; Dunhua Zhang; De-Hai Xu; Matt J Griffin; Yong-Jie Liu; Maria J Figueras; Scott R Santos; Joseph C Newton; Mark R Liles
Journal:  Front Microbiol       Date:  2016-10-18       Impact factor: 5.640

10.  Data, information, knowledge and principle: back to metabolism in KEGG.

Authors:  Minoru Kanehisa; Susumu Goto; Yoko Sato; Masayuki Kawashima; Miho Furumichi; Mao Tanabe
Journal:  Nucleic Acids Res       Date:  2013-11-07       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.