Draft genome for Flavobacterium psychrophilum isolates from diseased coho salmon (Oncorhynchus kisutch) in Chile
Ruben Avendaño-Herrera, Mónica Saldarriaga-Córdoba, Pedro Ilardi

TL;DR
This paper presents the draft genomes of six bacteria isolated from sick coho salmon in Chile, offering new insights into this fish pathogen.
Contribution
The study provides the first genomic insights into Flavobacterium psychrophilum from coho salmon in Chile.
Findings
Draft genome sequences of six Flavobacterium psychrophilum isolates were generated.
The isolates were recovered from diseased coho salmon in Chile.
This is the first genomic study of this pathogen in this host and region.
Abstract
We present the draft genome sequences of six Flavobacterium psychrophilum isolates recovered from diseased coho salmon (Oncorhynchus kisutch) cultured by two farms in Chile. This study provides the first detailed insights into the genomic characteristics of this fish pathogen recovered from a host with limited information and cultured in Chile.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| Strain/library | Sampling tissue | SRA | Assembly | WGS | Total length | Genome coverage | No. reads | Contigs | %GC | N50 kb | Genes | Protein-coding | tRNA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Flp-133/S74 | Kidney |
|
|
| 2,694,494 | 100× | 1,408,614 | 50 | 32.5 | 119.3 | 2,427 | 2,363 | 41 |
| Flp-134/S78 | External lesions |
|
|
| 2,736,257 | 100× | 1,693,310 | 117 | 32.5 | 55.3 | 2,472 | 2,408 | 39 |
| Flp-138/S75 | Kidney |
|
|
| 2,733,480 | 100× | 1,466,238 | 119 | 32.5 | 55.3 | 2,471 | 2,407 | 39 |
| Flp-142/S76 | Kidney |
|
|
| 2,694,456 | 100× | 1,520,966 | 54 | 32.5 | 119.4 | 2,430 | 2,367 | 40 |
| Flp-143/S77 | Spleen |
|
|
| 2,696,331 | 100× | 2,048,008 | 52 | 32.5 | 119.3 | 2,431 | 2,369 | 39 |
| Flp-146/S215 | Spine |
|
|
| 2,694,356 | 100× | 4,004,454 | 61 | 32.5 | 98 | 2,433 | 2,371 | 39 |
- —Agencia Nacional de Investigación y Desarrollo (ANID)
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Taxonomy
TopicsAquaculture disease management and microbiota · Genomics and Phylogenetic Studies · Microbial infections and disease research
ANNOUNCEMENT
Flavobacterium psychrophilum, a Gram-negative, filamentous, psychotropic bacterium, causes bacterial cold-water disease and rainbow trout fry syndrome in salmonids worldwide (1). Genetic studies suggest some specific genotypes for certain fish species, especially coho salmon (Oncorhynchus kisutch) (2, 3). To date, analyzed isolates from this fish species are limited, and none are from Chile. Herein, we present the draft genome sequences of six isolates recovered from diseased coho salmon cultured by two farms in Los Lagos Region (Chile).
Samples for bacterial isolation were taken from external lesions, the spine, the kidney, and the spleen of each coho salmon and streaked onto the tryptone yeast extract salts (TYES) medium (4). Colonies were recovered after incubation at 15°C for 7 days and streaked onto fresh TYES plates to isolate pure cultures. Six isolates were confirmed as F. psychrophilum via PCR analysis, following the protocol by Urdaci et al. (5), with genomic DNA extraction using the InstaGene matrix (Bio-Rad). All F. psychrophilum cultured underwent no more than two rounds of culturing and were stored at −80°C in CryoBank vials (Mast Diagnostica, Reinfield, Germany).
For genomic sequencing, three pure colonies of each F. psychrophilum were subjected to DNA extraction and were sent for genome sequencing to SeqCenter (Pennsylvania). Libraries were prepared using the Illumina DNA Prep Kit and IDT 10 bp UDI indices and sequenced on Illumina NextSeq 2000, producing 2 × 151-bp reads. Before de novo genome assembly, raw Illumina sequence data were quality-checked with FastQC v.0.12.1 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Next-generation sequencing reads were pre-processed with Geneious Prime v.2024.0.7 (www.geneious.com) with the following workflow: (i) pairing reads using the “set paired reads” function (insert size = 350 bp); (ii) trimming poor-quality bases from read ends using the BBDuk Trimmer plugin version 38.84 (6) (reads of <20 bp, and those with a quality score <20 were removed), with paired-read overlaps trimmed to ensure complete adapter removal; (iii) normalizing coverage by down-sampling reads in high-depth genome areas with the “error correct” and “normalize reads” functions using BBNorm version 38.84 (6); and (iv) removing duplicate reads using the Dedupe plugin. For the assembling process, Spades v3.13.0 was used (7), evaluating the quality and completeness of the final assemblies using CheckM v1.2.2 (8), and quality was checked by QUAST v.5.2.0 (9). The assembled genomes were then annotated using the RAST server v.2.0 (10). Default parameters were used for all software. Statistics of assembled genomes are shown in Table 1.
Genome assemblies ranged from 50 to 119 contigs and 2,694,356 to 2,736,257 bp with a G+C content of 32.5% (Table 1). To trace any plasmid, the filtered reads were mapped using SOAP (https://ccb-microbe.cs.uni-saarland.de/plsdb/) to the bacterial plasmid database (11). Only F. psychrophilum Flp-134 presented a 2,191-bp contig matching a plasmid (JBCARW000000000.1).
The in silico genome analysis discovered genes associated with secretion systems, including the type I and type IX secretion systems (T1SS and T9SS, respectively), as detected by the TXSScan:MascSyFinder-based detection of protein secretion systems (12). Genes associated with antibiotic resistance were not found in the Resistance Gene Identifier incorporated with the Comprehensive Antibiotic Resistance Database (https://card.mcmaster.ca/analyze/rgi). The present study provides initial comprehensive insights into the genomic characteristics of F. psychrophilum isolates from coho salmon farmed in Chile, with further details on virulence potential slated for future publication.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Loch TP, Faisal M. 2017. Flavobacterium spp, p 211–232. In Woo PTK, Cipriano RC (ed), Fish viruses and bacteria: Pathobiology and protection. CABI.
- 2Nicolas P, Mondot S, Achaz G, Bouchenot C, Bernardet J-F, Duchaud E. 2008. Population structure of the fish-pathogenic bacterium Flavobacterium psychrophilum. Appl Environ Microbiol 74:3702–3709. doi:10.1128/AEM.00244-0818424537 PMC 2446562 · doi ↗ · pubmed ↗
- 3Knupp C, Kiupel M, Brenden TO, Loch TP. 2021. Host-specific preference of some Flavobacterium psychrophilum multilocus sequence typing genotypes determines their ability to cause bacterial coldwater disease in coho salmon (Oncorhynchus kisutch). J Fish Dis 44:521–531. doi:10.1111/jfd.1334033476403 · doi ↗ · pubmed ↗
- 4Holt RA, Rohovec JS, Fryer JL. 1993. Bacterial coldwater disease, p 3–22. In Inglis V, Roberts RJ, Bromage NR (ed), Bacterial diseases of fish. Blackwell Scientific Publications.
- 5Urdaci MC, Chakroun C, Faure D, Bernardet JF. 1998. Development of a polymerase chain reaction assay for identification and detection of the fish pathogen Flavobacterium psychrophilum. Res Microbiol 149:519–530. doi:10.1016/s 0923-2508(98)80006-59766203 · doi ↗ · pubmed ↗
- 6Bushnell B. 2022 BB Tools: a suite of fast, multithreaded bioinformatics tools designed for analysis of DNA and RNA sequence data. Available from: https://jgi.doe.gov/data-and-tools/software-tools/bbtools/
- 7Prjibelski A, Antipov D, Meleshko D, Lapidus A, Korobeynikov A. 2020. Using SP Ades de Novo assembler. Curr Protoc Bioinformatics 70:e 102. doi:10.1002/cpbi.10232559359 · doi ↗ · pubmed ↗
- 8Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. 2015. Check M: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 25:1043–1055. doi:10.1101/gr.186072.11425977477 PMC 4484387 · doi ↗ · pubmed ↗
