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Digital Image Analysis for Morphological State Characterization of a Culture of Filamentous Microorganisms in Production of Antibiotics. JOURNAL OF BIOMIMETICS BIOMATERIALS AND BIOMEDICAL ENGINEERING 2019. [DOI: 10.4028/www.scientific.net/jbbbe.43.74] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The paper deals with the application of specific methods of digital image analysis for the monitoring of morphological changes in cultures of filamentous microorganisms. First, a sequence of digital image preprocessing and processing steps is proposed for the treatment of microscopic images of a filamentous culture. The preprocessing step include band pass filtering by the Difference of Gaussians filter featuring a novel approach to the task of parameters tuning, as well as the optimization of image porosity and image objects separation quality. In the processing step, the resulting enhanced images are subject to morphological state characterization using a set of several standard and modified morphological parameters. Descriptions of morphological states of different complexity are then discussed varying from the standard set of mean values of parameters to the set of parameters in their full histogram of value frequencies (distribution) form. For such complex descriptions also new fashions of graphical representation of results without loss of information are compared. The potential of the proposed full description of morphological behavior of the culture is demonstrated using a set of microscopic images taken during an industrial antibiotics production cultivation using a microorganism belonging into the Streptomyces genus. Finally, the cluster analysis is proposed for further automatic quantitative classification and interpretation of complex description of metabolic states.
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Fang X, Zhao G, Dai J, Liu H, Wang P, Wang L, Song J, Zheng Z. Macro-morphological characterization and kinetics of Mortierella alpina colonies during batch cultivation. PLoS One 2018; 13:e0192803. [PMID: 30086137 PMCID: PMC6080745 DOI: 10.1371/journal.pone.0192803] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 01/30/2018] [Indexed: 11/19/2022] Open
Abstract
An effective method for research of macro-morphological characterization and its kinetics was developed by studying the macro-morphological characteristics of Mortierella alpina, an oleaginous zygomycete widely used to produce lipids rich in PUFA, in function of culture medium composition and to link morphological features of fungus with the level of lipid production. A number of distinct morphological forms including hollow pellets, fluffy pellets and freely dispersed mycelia were obtained by changing the fermentation factors. By fitting a Logistic curve, the maximum specific growth rate (μmax)was obtained, which determined the final mycelia morphology. μmax of 0.6584 in three kind of morphological forms is the more appropriate. According to the Luedeking-Piret equation fitting, α≠0 and β≠0, lipid production was partially associated with the hyphal growth, fluffy pellets which turn glucose into lipidwas more effective than the other two kinds of morphological forms.
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Affiliation(s)
- Xue Fang
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Insitutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
- University of Science and Technology of China, Hefei, China
| | - Genhai Zhao
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Insitutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Jun Dai
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Insitutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Hui Liu
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Insitutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Peng Wang
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Insitutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Li Wang
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Insitutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Junying Song
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Insitutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Zhiming Zheng
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Insitutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
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Ji XJ, Ren LJ, Nie ZK, Huang H, Ouyang PK. Fungal arachidonic acid-rich oil: research, development and industrialization. Crit Rev Biotechnol 2013; 34:197-214. [PMID: 23631634 DOI: 10.3109/07388551.2013.778229] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Fungal arachidonic acid (ARA)-rich oil is an important microbial oil that affects diverse physiological processes that impact normal health and chronic disease. In this article, the historic developments and technological achievements in fungal ARA-rich oil production in the past several years are reviewed. The biochemistry of ARA, ARA-rich oil synthesis and the accumulation mechanism are first introduced. Subsequently, the fermentation and downstream technologies are summarized. Furthermore, progress in the industrial production of ARA-rich oil is discussed. Finally, guidelines for future studies of fungal ARA-rich oil production are proposed in light of the current progress, challenges and trends in the field.
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Affiliation(s)
- Xiao-Jun Ji
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing University of Technology , Nanjing , People's Republic of China
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Krull R, Wucherpfennig T, Esfandabadi ME, Walisko R, Melzer G, Hempel DC, Kampen I, Kwade A, Wittmann C. Characterization and control of fungal morphology for improved production performance in biotechnology. J Biotechnol 2012; 163:112-23. [PMID: 22771505 DOI: 10.1016/j.jbiotec.2012.06.024] [Citation(s) in RCA: 136] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2012] [Revised: 05/02/2012] [Accepted: 06/25/2012] [Indexed: 11/25/2022]
Abstract
Filamentous fungi have been widely applied in industrial biotechnology for many decades. In submerged culture processes, they typically exhibit a complex morphological life cycle that is related to production performance--a link that is of high interest for process optimization. The fungal forms can vary from dense spherical pellets to viscous mycelia. The resulting morphology has been shown to be influenced strongly by process parameters, including power input through stirring and aeration, mass transfer characteristics, pH value, osmolality and the presence of solid micro-particles. The surface properties of fungal spores and hyphae also play a role. Due to their high industrial relevance, the past years have seen a substantial development of tools and techniques to characterize the growth of fungi and obtain quantitative estimates on their morphological properties. Based on the novel insights available from such studies, more recent studies have been aimed at the precise control of morphology, i.e., morphology engineering, to produce superior bio-processes with filamentous fungi.
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Affiliation(s)
- Rainer Krull
- Institute of Biochemical Engineering, Technische Universität Braunschweig, Germany.
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BARRY D, WILLIAMS G. Microscopic characterisation of filamentous microbes: towards fully automated morphological quantification through image analysis. J Microsc 2011; 244:1-20. [DOI: 10.1111/j.1365-2818.2011.03506.x] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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