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Record W7117593762 · doi:10.4014/jmb.2508.08038

Novel endolysin from <i>Streptococcus iniae</i> -Specific Prophage Selectively Inhibits Target Bacteria

2025· article· en· W7117593762 on OpenAlex
Joonbeom Moon, Hanbeen Kim, Suryang Kwak, Jakyeom Seo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Microbiology and Biotechnology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of British Columbia
FundersMinistry of Science and ICT, South KoreaKorea Institute of Planning and Evaluation for Technology in Food, Agriculture and ForestryRural Development AdministrationMinistry of Agriculture, Food and Rural Affairs
KeywordsLytic cycleLysinPeptidoglycanBacteriaEnzymeAntibioticsProphageFacultative

Abstract

fetched live from OpenAlex

Aquaculture is a rapidly growing food production industry worldwide and plays a fundamental role in supplying protein food sources.Due to the growing emphasis on the increasing world population, which is projected to reach 9.73 billion people by 2064 [1], aquaculture industry production is estimated to increase to 109 million tons by 2030 [2].Therefore, to meet the rising consumer demand, implementing intensive farming systems that boost fish production and enhance feed efficiency is advisable.Nonetheless, intensive farming systems can also create favorable conditions for pathogens, resulting in increased transmission and frequency of infections, as well as promoting the survival and virulence of these pathogens [3].Several pathogenic diseases are prevalent in aquaculture, including vibriosis (Vibrio alginolyticus, V. fluvialis, and V. parahaemolyticus), aeromoniasis (Aeromonas hydrophila and A. salmonicida), edwardsiellosis (Edwardsiella ictaluri and E. tarda), and streptococcosis (Streptococcus iniae, S. agalactiae, and S. parauberis).These pathogenic diseases not only result in high mortality rates and economic losses in the aquaculture industry but also facilitate the transmission of zoonotic bacteria, posing a critical threat to human health [4,5].Streptococcosis is a re-emerging bacterial disease in the aquaculture industry that threatens its development worldwide.Although various Streptococcus species, including S. iniae, S. agalactiae, S. parauberis, S. uberis, and S. dysgalactiae, are known to cause streptococcosis [5], S. iniae and S. agalactiae are the primary species responsible for streptococcosis in aquaculture.S. iniae is a gram-positive, spherical-or ovoid-shaped, facultative anaerobic bacterium that is -hemolytic on 5% sheep blood agar [5].S. iniae infections have been reported in various fish species globally, including olive flounder (Paralichthys olivaceus), salmon (Salmo salar), gray mullet (Mugus cephalus), barramundi (Lates calcarifer), yellowtail (Seriola quinqueradiata), and red drum (Sciaenops ocellatus) [6].Fish infected with S. iniae exhibit various symptoms such as septicemia, meningitis, panophthalmitis, exophthalmia, corneal opacity, and lethargy, resulting in high levels of mortality and morbidity [6].Various antibiotics, including florfenicol, erythromycin, doxycycline, and oxytetracycline, have been used to control streptococcosis in aquaculture [5].However, the use of antibiotics to control bacterial infections in fish has Streptococcus iniae is a gram-positive, spherical-or ovoid-shaped, facultative anaerobic bacterium and is one of the major species causing streptococcosis, resulting in economic losses in aquaculture.Endolysins, peptidoglycan hydrolases produced by bacteriophages, are emerging as replacements for antibiotics due to their specific lytic activity against pathogens.This study aimed to develop a novel endolysin, SinLys1930, that specifically targets and kills S. iniae.The molecular and structural characteristics of SinLys1930 were predicted based on bioinformatic approaches.The lytic activity of SinLys1930 was evaluated against S. iniae KCTC 3657 under various conditions, including different dosages, pH levels, temperatures, NaCl concentrations, and metal ions, to identify the optimal conditions, and its effectiveness was further tested in sterilized seawater.The conserved domain analysis revealed that SinLys1930 possesses two enzymatically active domains (NlpC/P60 and glucosaminidase superfamilies) with two cell wall-binding domains (CW-7 superfamily) positioned between them.The lytic activity of SinLys1930 was highest at pH 6.0 to 6.5 and temperatures between 16 and 37C, and it was maintained even under high NaCl concentration.SinLys1930 reduced the optical density of S. iniae in sterilized seawater by approximately 60% after incubation for 1 h.Therefore, SinLys1930 could potentially serve as an alternative to antibiotics for preventing streptococcosis caused by S. iniae in the aquaculture industry.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.764

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.209
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it