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      Proteomics and Lipidomics Investigations to Decipher the Behavior of Willaertia magna C2c Maky According to Different Culture Modes

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          Abstract

          Willaertia magna C2c Maky is a free-living amoeba that has demonstrated its ability to inhibit the intracellular multiplication of some Legionella pneumophila strains, which are pathogenic bacteria inhabiting the aquatic environment. The Amoeba, an industry involved in the treatment of microbiological risk in the water and plant protection sectors, has developed a natural biocide based on the property of W. magna to manage the proliferation of the pathogen in cooling towers. In axenic liquid medium, amoebas are usually cultivated in adhesion on culture flask. However, we implemented a liquid culture in suspension using bioreactors in order to produce large quantities of W. magna. In order to investigate the culture condition effects on W. magna, we conducted a study based on microscopic, proteomics and lipidomics analyzes. According to the culture condition, amoeba exhibited two different phenotypes. The differential proteomics study showed that amoebas seemed to promote the lipid metabolism pathway in suspension culture, whereas we observed an upregulation of the carbohydrate pathway in adherent culture. Furthermore, we observed an over-regulation of proteins related to the cytoskeleton for W. magna cells grown in adhesion. Regarding the lipid analysis, suspension and adhesion cell growth showed comparable lipid class compositions. However, the differential lipid analysis revealed differences that confirmed cell phenotype differences observed by microscopy and predicted by proteomics. Overall, this study provides us with a better insight into the biology and molecular processes of W. magna in different culture lifestyles.

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          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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              A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION

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                Author and article information

                Journal
                Microorganisms
                Microorganisms
                microorganisms
                Microorganisms
                MDPI
                2076-2607
                16 November 2020
                November 2020
                : 8
                : 11
                : 1791
                Affiliations
                [1 ]Aix-Marseille Université UM63, Faculté des Sciences Médicales et Paramédicales secteur Timone, Institut de Recherche Pour le Développement IRD 198, Assistance Publique—Hôpitaux de Marseille (AP-HM), 13385 Marseille, France; issemhasni@ 123456gmail.com (I.H.); nicholas.armstrong@ 123456univ-amu.fr (N.A.); Philippe.DECLOQUEMENT@ 123456univ-amu.fr (P.D.); said.azza@ 123456univ-amu.fr (S.A.); cheriflamina@ 123456gmail.com (A.C.L.); eric.chabriere@ 123456univ-amu.fr (E.C.); philippe.colson@ 123456univ-amu.fr (P.C.)
                [2 ]R&D Department, Amoéba, 69680 Chassieu, France; o.abbe@ 123456amoeba-nature.com (O.A.); s.demaneche@ 123456amoeba-nature.com (S.D.)
                [3 ]Institut Hospitalo-Universitaire (IHU), Microbes, Evolution, Phylogeny and Infection (MEΦI)—Méditerranée Infection, 13005 Marseille, France; fontanini.anthony@ 123456gmail.com
                Author notes
                [* ]Correspondence: bernard.la-scola@ 123456univ-amu.fr ; Tel.: +33-491324375; Fax: +33-491387772
                Author information
                https://orcid.org/0000-0003-3053-8023
                https://orcid.org/0000-0001-6285-0308
                https://orcid.org/0000-0001-8006-7704
                Article
                microorganisms-08-01791
                10.3390/microorganisms8111791
                7696429
                33207645
                941f9690-d713-44a3-a325-ab673e2b61b4
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 10 September 2020
                : 14 November 2020
                Categories
                Article

                willaertia magna c2c maky,amoebas,culture,proteomics,lipidomics,metabolism

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