Literature DB >> 22777280

Physiological heterogeneity of Pseudomonas taetrolens during lactobionic acid production.

Saúl Alonso1, Manuel Rendueles, Mario Díaz.   

Abstract

Physiological heterogeneity constitutes a critical parameter in biotechnological systems since both metabolite yield and productivity are often hampered by the presence of undesired physiological cell subpopulations. In the present study, the physiological status and functionality of Pseudomonas taetrolens cells were monitored by multiparameter flow cytometry during fermentative lactobionic acid production at the shake-flask and bioreactor scale. In shake-flask fermentation, the onset of the lactobionic acid production phase was accompanied by a progressive loss of cellular metabolic activity, membrane polarization, and membrane integrity concomitantly to acidification. In fact, population dynamics has shown the prevalence of damaged and dead subpopulations when submitted to a pH < 4 from 16 h onwards. Furthermore, fluorescence-activated cell sorting revealed that these sublethally injured cells were nonculturable. In contrast, P. taetrolens cells exhibited a robust physiological status during bioreactor cultivations performed with a pH-shifted strategy at 6.5, remaining predominantly healthy and metabolically active (>96 %) as well as maintaining bioconversion efficiency throughout the course of the fermentation. Additionally, an assessment of the seed culture's physiological robustness was carried out in order to determine the best seed culture age. Results showed that bioreactor culture performance, growth, and lactobionic acid production efficiency were strongly dependent on the physiological heterogeneity displayed by the seed culture. This study provides the most suitable criteria for optimizing lactobionic acid production efficiency through a novel flow cytometric-based approach based on the physiological status of P. taetrolens. It also constitutes a valuable, broad-ranging methodology for the enhancement of microbial bioprocesses involved in the production of secondary metabolites.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22777280     DOI: 10.1007/s00253-012-4254-2

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  6 in total

1.  Making variability less variable: matching expression system and host for oxygenase-based biotransformations.

Authors:  Martin Lindmeyer; Daniel Meyer; Daniel Kuhn; Bruno Bühler; Andreas Schmid
Journal:  J Ind Microbiol Biotechnol       Date:  2015-04-16       Impact factor: 3.346

2.  Flow cytometric characterization of bacterial abundance and physiological status in a nitrifying-denitrifying activated sludge system treating landfill leachate.

Authors:  Sergio Collado; Paula Oulego; Saúl Alonso; Mario Díaz
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-24       Impact factor: 4.223

3.  Variability in subpopulation formation propagates into biocatalytic variability of engineered Pseudomonas putida strains.

Authors:  Martin Lindmeyer; Michael Jahn; Carsten Vorpahl; Susann Müller; Andreas Schmid; Bruno Bühler
Journal:  Front Microbiol       Date:  2015-10-01       Impact factor: 5.640

4.  Efficient production of sugar-derived aldonic acids by Pseudomonas fragi TCCC11892.

Authors:  Shuhong Mao; Yanna Liu; Yali Hou; Xiaoyu Ma; Juanjuan Yang; Haichao Han; Jianlin Wu; Longgang Jia; Huimin Qin; Fuping Lu
Journal:  RSC Adv       Date:  2018-11-30       Impact factor: 3.361

Review 5.  Phenotypic Variability in Synthetic Biology Applications: Dealing with Noise in Microbial Gene Expression.

Authors:  Lucia Bandiera; Simone Furini; Emanuele Giordano
Journal:  Front Microbiol       Date:  2016-04-08       Impact factor: 5.640

Review 6.  Transcription factor-based biosensors in biotechnology: current state and future prospects.

Authors:  Regina Mahr; Julia Frunzke
Journal:  Appl Microbiol Biotechnol       Date:  2015-10-31       Impact factor: 4.813

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.