{"title":"Comparison of light scattering signals vs BODIPY™ 493/503 staining in flow cytometry for the quantitative monitoring of P(3HB-co-3 HV) biosynthesis.","authors":"Coline Perdrier, Lucie Farrera, Maeva Subileau, Laurence Preziosi-Belloy, Estelle Grousseau","doi":"10.1016/j.mimet.2026.107532","DOIUrl":null,"url":null,"abstract":"<p><p>Analysis of microbial cultures traditionally relies on average population characteristics, despite the inherent variability of individual cells. This variability affects process performance and makes bioprocesses scale-up challenging. Flow cytometry, a multi-parametric and near-line method provides information at cellular level. This study evaluated the potential of light scattering signals versus BODIPY™ 493/503 staining in flow cytometry for the quantitative monitoring of P(3HB-co-3 HV) biosynthesis by Cupriavidus necator. A dedicated bioreactor culture was performed to generate a dataset with samples presenting a wide range of P(3HB-co-3 HV) contents (6 to 70 wt%). The relationships were then validated using data from two independent cultures. For cells with levels ≥0.06 pg<sub>PHA</sub>.cell<sup>-1</sup> (30 wt%) the FSC light scattering signal proved to be a simple fast and accurate method for monitoring phases of P(3HB-co-3 HV) accumulation without the need for staining. For early growth phases or low PHA contents (< 0.06 pg<sub>PHA</sub>.cell<sup>-1</sup>), BODIPY™ staining remains necessary to identify and quantify PHA-producing cells. Monitoring of sub-population dynamics during PHA production showed an increase in the diversity of cellular PHA content over time, with end-of-culture levels ranging from <0.01 pg<sub>PHA</sub>.cell<sup>-1</sup> to over 0.86 pg<sub>PHA</sub>.cell<sup>-1</sup>, with damaged cells found mainly in subpopulations with low PHA content.</p>","PeriodicalId":16409,"journal":{"name":"Journal of microbiological methods","volume":" ","pages":"107532"},"PeriodicalIF":1.9000,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of microbiological methods","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.mimet.2026.107532","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Analysis of microbial cultures traditionally relies on average population characteristics, despite the inherent variability of individual cells. This variability affects process performance and makes bioprocesses scale-up challenging. Flow cytometry, a multi-parametric and near-line method provides information at cellular level. This study evaluated the potential of light scattering signals versus BODIPY™ 493/503 staining in flow cytometry for the quantitative monitoring of P(3HB-co-3 HV) biosynthesis by Cupriavidus necator. A dedicated bioreactor culture was performed to generate a dataset with samples presenting a wide range of P(3HB-co-3 HV) contents (6 to 70 wt%). The relationships were then validated using data from two independent cultures. For cells with levels ≥0.06 pgPHA.cell-1 (30 wt%) the FSC light scattering signal proved to be a simple fast and accurate method for monitoring phases of P(3HB-co-3 HV) accumulation without the need for staining. For early growth phases or low PHA contents (< 0.06 pgPHA.cell-1), BODIPY™ staining remains necessary to identify and quantify PHA-producing cells. Monitoring of sub-population dynamics during PHA production showed an increase in the diversity of cellular PHA content over time, with end-of-culture levels ranging from <0.01 pgPHA.cell-1 to over 0.86 pgPHA.cell-1, with damaged cells found mainly in subpopulations with low PHA content.
期刊介绍:
The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach.
All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.