Evidence map›Paper›PMID 39710718›Full record

ArticleMicrobial cell factories2024

Optimization of the large-scale production for Erwinia amylovora bacteriophages.

Su Jin Jo, Sib Sankar Giri, Sung Bin Lee, Won Joon Jung, Jae Hong Park, Mae Hyun Hwang, Da Sol Park, Eunjae Park, Sang Wha Kim, Jin Woo Jun and 3 more

Abstract read
In one paragraph

Article in Microbial cell factories, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Su Jin JoLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Sib Sankar GiriLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Sung Bin LeeLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Won Joon JungLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Jae Hong ParkLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Mae Hyun HwangLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Da Sol ParkLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Eunjae ParkLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Sang Wha KimLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
Jin Woo JunDepartment of Aquaculture, Korea National College of Agriculture and Fisheries, Kongjwipatjwi-ro, Wansan-gu, Jeonju-si, Jeollabuk-do, 54874, Republic of Korea.
Sang Guen KimLaboratory of Phage and Microbial Resistance, Department of Biological Sciences, Kyonggi University, Suwon, 16227, Republic of Korea. imagine0518@kyonggi.ac.kr.
Eunjung RohCrop Protection Division, National Institute of Agriculture Sciences, Rural Development Administration, Wanju, 55365, Republic of Korea.
Se Chang ParkLaboratory of Aquatic Biomedicine, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea. parksec@snu.ac.kr.

Funding

National Research Foundation of Korea 2022R1I1A1A01069698Rural Development Administration RS-2020-RD008879
6 · The paper itself

Abstract

backgroundFire blight, caused by Erwinia amylovora, poses a significant threat to global agriculture, with antibiotic-resistant strains necessitating alternative solutions such as phage therapy. Scaling phage therapy to an industrial level requires efficient mass-production methods, particularly in optimizing the seed culture process. In this study, we investigated large-scale E. amylovora phage production by optimizing media supplementation and fermenter conditions, focusing on minimizing seed phages and pathogenic strains to reduce risks and improve the seed culture process.

resultsWe optimized the phage inoculum concentrations and media supplements to achieve higher phage yields comparable to or exceeding conventional methods. Laboratory-scale validation and refinement for fermenter-scale production allowed us to reduce bacterial and phage inoculum levels to 10⁵ CFU/mL and 10³ PFU/mL, respectively. Using fructose and sucrose supplements, the yields were comparable to conventional methods that use 10⁸ CFU/mL host bacteria and 10⁷ PFU/mL phages. Further pH adjustments in the fermenter increased yields by 16-303% across all phages tested.

conclusionsWe demonstrated the successful optimization and scale-up of E. amylovora phage production, emphasizing the potential for industrial bioprocessing with the reduced use of host cells and phage seeds. Overall, by refining key production parameters, we established a robust and scalable method for enhancing phage production efficiency.

Indexed as

BacteriophagesErwinia amylovoraBioreactorsCulture MediaFermentationHydrogen-Ion ConcentrationCulture MediaErwinia amylovoraFire blightLarge-scaleOptimizationPhage production

Identifiers

PMID39710718
PMCPMC11664846

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.