Evidence map›Paper›PMID 37120528›Full record

ArticleMicrobial cell factories2023

Development of high cell density Limosilactobacillus reuteri KUB-AC5 for cell factory using oxidative stress reduction approach.

Nisit Watthanasakphuban, Pimsiriya Srila, Phitsanu Pinmanee, Kamonwan Sompinit, Kittipong Rattanaporn, Clemens Peterbauer

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Nisit WatthanasakphubanDepartment of Biotechnology, Faculty of Agro-Industry, Kasetsart University, Chatuchak, Bangkok, 10900, Thailand. nisit.w@ku.th.
Pimsiriya SrilaDepartment of Biotechnology, Faculty of Agro-Industry, Kasetsart University, Chatuchak, Bangkok, 10900, Thailand.
Phitsanu PinmaneeEnzyme Technology Research Team, National Center of Genetic Engineering and Biotechnology (BIOTEC), Pathum Thani, 12120, Thailand.
Kamonwan SompinitDepartment of Food Sciences and Technology, BOKU-University of Natural Resources and Life Sciences, 1190, Vienna, Austria.
Kittipong RattanapornFermentation Technology Research Center, Department of Biotechnology, Faculty of Agro-Industry, Kasetsart University, Bangkok, 10900, Thailand.
Clemens PeterbauerDepartment of Food Sciences and Technology, BOKU-University of Natural Resources and Life Sciences, 1190, Vienna, Austria. clemens.peterbauer@boku.ac.at.
Kasetsart University · THBOKU University · ATNational Center for Genetic Engineering and Biotechnology · TH

Funding

This research was funded by Kasetsart University Research and Development Institute (KURDI), This work was financially supported by the Office of the Ministry of Higher Education, Science, Research and Innovation; and the Thailand Science Research and Innovation through the Kasetsart University Reinventing University Program 2021." FF(KU)23.65
6 · The paper itself

Abstract

backgroundExpression systems for lactic acid bacteria have been developed for metabolic engineering applications as well as for food-grade recombinant protein production. But the industrial applications of lactic acid bacteria as cell factories have been limited due to low biomass formation resulted in low efficiency of biomanufacturing process. Limosilactobacillus reuteri KUB-AC5 is a safe probiotic lactic acid bacterium that has been proven as a gut health enhancer, which could be developed as a mucosal delivery vehicle for vaccines or therapeutic proteins, or as expression host for cell factory applications. Similar to many lactic acid bacteria, its oxygen sensitivity is a key factor that limits cell growth and causes low biomass production. The aim of this study is to overcome the oxidative stress in L. reuteri KUB-AC5. Several genes involved in oxidative and anti-oxidative stress were investigated, and strain improvement for higher cell densities despite oxidative stress was performed using genetic engineering.

resultsAn in-silico study showed that L. reuteri KUB-AC5 genome possesses an incomplete respiratory chain lacking four menaquinone biosynthesis genes as well as a complete biosynthesis pathway for the production of the precursor. The presence of an oxygen consuming enzyme, NADH oxidase (Nox), leads to high ROS formation in aerobic cultivation, resulting in strong growth reduction to approximately 25% compared to anaerobic cultivation. Recombinant strains expressing the ROS scavenging enzymes Mn-catalase and Mn-superoxide dismutase were successfully constructed using the pSIP expression system. The Mn-catalase and Mn-SOD-expressing strains produced activities of 873 U/ml and 1213 U/ml and could minimize the ROS formation in the cell, resulting in fourfold and sevenfold higher biomass formation, respectively.

conclusionsExpression of Mn-catalase and Mn-SOD in L. reuteri KUB-AC5 successfully reduced oxidative stress and enhanced growth. This finding could be applied for other lactic acid bacteria that are subject to oxidative stress and will be beneficial for applications of lactic acid bacteria for cell factory applications.

Indexed as

Limosilactobacillus reuteriProbioticsCatalaseOxidative StressOxygenReactive Oxygen SpeciesSuperoxide DismutaseCatalaseOxygenReactive Oxygen SpeciesSuperoxide DismutaseCell factoryHydrogen peroxideLactic acid bacteriaLimosilactobacillus reuteriOxidative stressProbiotics expression hostReactive oxygen speciesSuperoxide anion

Identifiers

PMID37120528
PMCPMC10149017
OpenAlexW4367367650

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.