Počet záznamů: 1
Calculation and Interpretation of Substrate Assimilation Rates in Microbial Cells Based on Isotopic Composition Data Obtained by nanoSIMS
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SYSNO ASEP 0550065 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Calculation and Interpretation of Substrate Assimilation Rates in Microbial Cells Based on Isotopic Composition Data Obtained by nanoSIMS Tvůrce(i) Polerecky, L. (NL)
Eichner, Meri (MBU-M) ORCID, RID
Masuda, Takako (MBU-M) ORCID
Zavřel, Tomáš (UEK-B) RID, SAI, ORCID
Rabouille, S. (FR)
Campbell, D. A. (CA)
Halsey, K. (US)Číslo článku 621634 Zdroj.dok. Frontiers in Microbiology. - : Frontiers Research Foundation - ISSN 1664-302X
Roč. 12, NOV 30 2021 (2021)Poč.str. 17 s. Jazyk dok. eng - angličtina Země vyd. CH - Švýcarsko Klíč. slova stable isotope probing ; assimilation rates ; storage inclusions ; cell growth model Vědní obor RIV EE - Mikrobiologie, virologie Obor OECD Microbiology Vědní obor RIV – spolupráce Ústav výzkumu globální změny CEP GA20-17627S GA ČR - Grantová agentura ČR GJ20-02827Y GA ČR - Grantová agentura ČR EF16_026/0008413 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA18-24397S GA ČR - Grantová agentura ČR EF16_027/0007990 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Způsob publikování Open access Institucionální podpora MBU-M - RVO:61388971 ; UEK-B - RVO:86652079 UT WOS 000729982700001 EID SCOPUS 85121394529 DOI 10.3389/fmicb.2021.621634 Anotace Stable isotope probing (SIP) combined with nano-scale secondary ion mass spectrometry (nanoSIMS) is a powerful approach to quantify assimilation rates of elements such as C and N into individual microbial cells. Here, we use mathematical modeling to investigate how the derived rate estimates depend on the model used to describe substrate assimilation by a cell during a SIP incubation. We show that the most commonly used model, which is based on the simplifying assumptions of linearly increasing biomass of individual cells over time and no cell division, can yield underestimated assimilation rates when compared to rates derived from a model that accounts for cell division. This difference occurs because the isotopic labeling of a dividing cell increases more rapidly over time compared to a non-dividing cell and becomes more pronounced as the labeling increases above a threshold value that depends on the cell cycle stage of the measured cell. Based on the modeling results, we present formulae for estimating assimilation rates in cells and discuss their underlying assumptions, conditions of applicability, and implications for the interpretation of intercellular variability in assimilation rates derived from nanoSIMS data, including the impacts of storage inclusion metabolism. We offer the formulae as a Matlab script to facilitate rapid data evaluation by nanoSIMS users. Pracoviště Mikrobiologický ústav Kontakt Eliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231 Rok sběru 2022 Elektronická adresa https://hal.archives-ouvertes.fr/hal-03469894/
Počet záznamů: 1