skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Isotopically nonstationary 13 C flux analysis of cyanobacterial isobutyraldehyde production

Authors:
; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1397026
Grant/Contract Number:
SC0008118; AC05-06OR23100; P200A090323
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Metabolic Engineering
Additional Journal Information:
Journal Volume: 42; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-10-04 16:29:35; Journal ID: ISSN 1096-7176
Publisher:
Elsevier
Country of Publication:
Belgium
Language:
English

Citation Formats

Jazmin, Lara J., Xu, Yao, Cheah, Yi Ern, Adebiyi, Adeola O., Johnson, Carl Hirschie, and Young, Jamey D. Isotopically nonstationary 13 C flux analysis of cyanobacterial isobutyraldehyde production. Belgium: N. p., 2017. Web. doi:10.1016/j.ymben.2017.05.001.
Jazmin, Lara J., Xu, Yao, Cheah, Yi Ern, Adebiyi, Adeola O., Johnson, Carl Hirschie, & Young, Jamey D. Isotopically nonstationary 13 C flux analysis of cyanobacterial isobutyraldehyde production. Belgium. doi:10.1016/j.ymben.2017.05.001.
Jazmin, Lara J., Xu, Yao, Cheah, Yi Ern, Adebiyi, Adeola O., Johnson, Carl Hirschie, and Young, Jamey D. Sat . "Isotopically nonstationary 13 C flux analysis of cyanobacterial isobutyraldehyde production". Belgium. doi:10.1016/j.ymben.2017.05.001.
@article{osti_1397026,
title = {Isotopically nonstationary 13 C flux analysis of cyanobacterial isobutyraldehyde production},
author = {Jazmin, Lara J. and Xu, Yao and Cheah, Yi Ern and Adebiyi, Adeola O. and Johnson, Carl Hirschie and Young, Jamey D.},
abstractNote = {},
doi = {10.1016/j.ymben.2017.05.001},
journal = {Metabolic Engineering},
number = C,
volume = 42,
place = {Belgium},
year = {Sat Jul 01 00:00:00 EDT 2017},
month = {Sat Jul 01 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.ymben.2017.05.001

Citation Metrics:
Cited by: 3works
Citation information provided by
Web of Science

Save / Share:
  • Improving plant productivity is an important aim for metabolic engineering. There are few comprehensive methods that quantitatively describe leaf metabolism, although such information would be valuable for increasing photosynthetic capacity, enhancing biomass production, and rerouting carbon flux toward desirable end products. Isotopically nonstationary metabolic flux analysis (INST-MFA) has been previously applied to map carbon fluxes in photoautotrophic bacteria, which involves model-based regression of transient 13C-labeling patterns of intracellular metabolites. However, experimental and computational difficulties have hindered its application to terrestrial plant systems. Here, we performed in vivo isotopic labeling of Arabidopsis thaliana rosettes with 13CO 2 and estimated fluxes throughoutmore » leaf photosynthetic metabolism by INST-MFA. Plants grown at 200 µmol m $-$2s $-$1 light were compared with plants acclimated for 9 d at an irradiance of 500 µmol∙m $-$2∙s $-$1. Approximately 1,400 independent mass isotopomer measurements obtained from analysis of 37 metabolite fragment ions were regressed to estimate 136 total fluxes (54 free fluxes) under each condition. The results provide a comprehensive description of changes in carbon partitioning and overall photosynthetic flux after long-term developmental acclimation of leaves to high light. Despite a doubling in the carboxylation rate, the photorespiratory flux increased from 17 to 28% of net CO 2 assimilation with high-light acclimation (Vc/Vo: 3.5:1 vs. 2.3:1, respectively). In conclusion, this study highlights the potential of 13C INST-MFA to describe emergent flux phenotypes that respond to environmental conditions or plant physiology and cannot be obtained by other complementary approaches.« less
  • /sup 13/C and /sup 1/H NMR spectra of each of the 12 isotopomers of benzo(a)pyrene specifically labeled with carbon-13 at a methine position have been obtained. These studies lead to reassignment of 11 of the 20 /sup 13/C resonances of benzo(a)pyrene, and to unambiguous /sup 1/H assignments. /sup 1/J/sub cc/ values were found to follow Hansen's rule, although the specific parametrization varied significantly depending on the source of the bond-length data. The optimum fit for the methine carbons was determined to be /sup 1/J/sub cc/ = -143l + 257; for coupling between methine and quaternary carbons, /sup 1/J/sub cc/ =more » -119l + 227. Vicinal couplings between /sup 13/C atoms do not show a significant correlation with the bond order of the central bond in the vicinal coupling pathway; however, coupling between vicinal carbons which are trans along the periphery of the ring system (class I) have a mean of 5.45 Hz, compared with the vicinal trans coupling through the ring (class II) with a mean of 3.06 Hz.« less
  • The Raman scattering by isotopically pure {sup 12}C and {sup 13}C diamond single crystals and by isotopically mixed {sup 12.5}C diamond single crystals is studied at a high accuracy. The studies are performed over a wide pressure range up to 73 GPa using helium as a hydrostatic pressure-transferring medium. It is found that the quantum effects, which determine the difference between the ratio of the Raman scattering frequencies in the {sup 12}C and {sup 13}C diamonds and the classical ratio (1.0408), increase to 30 GPa and then decrease. Thus, inversion in the sign of the quantum contribution to the physicalmore » properties of diamond during compression is detected. Our data suggest that the maximum possible difference between the bulk moduli of the {sup 12}C and {sup 13}C diamonds is 0.15%. The investigation of the isotopically mixed {sup 12.5}C diamond shows that the effective mass, which determines the Raman frequency, decreases during compression from 12.38 au at normal pressure to 12.33 au at 73 GPa.« less
  • In this study, genome-scale models (GSMs) are widely used to predict cyanobacterial phenotypes in photobioreactors (PBRs). However, stoichiometric GSMs mainly focus on fluxome that result in maximal yields. Cyanobacterial metabolism is controlled by both intracellular enzymes and photobioreactor conditions. To connect both intracellular and extracellular information and achieve a better understanding of PBRs productivities, this study integrates a genome-scale metabolic model of Synechocystis 6803 with growth kinetics, cell movements, and a light distribution function. The hybrid platform not only maps flux dynamics in cells of sub-populations but also predicts overall production titer and rate in PBRs. Analysis of the integratedmore » GSM demonstrates several results. First, cyanobacteria are capable of reaching high biomass concentration (>20 g/L in 21 days) in PBRs without light and CO 2 mass transfer limitations. Second, fluxome in a single cyanobacterium may show stochastic changes due to random cell movements in PBRs. Third, insufficient light due to cell self-shading can activate the oxidative pentose phosphate pathway in subpopulation cells. Fourth, the model indicates that the removal of glycogen synthesis pathway may not improve cyanobacterial bio-production in large-size PBRs, because glycogen can support cell growth in the dark zones. Based on experimental data, the integrated GSM estimates that Synechocystis 6803 in shake flask conditions has a photosynthesis efficiency of ~2.7 %. Conclusions: The multiple-scale integrated GSM, which examines both intracellular and extracellular domains, can be used to predict production yield/rate/titer in large-size PBRs. More importantly, genetic engineering strategies predicted by a traditional GSM may work well only in optimal growth conditions. In contrast, the integrated GSM may reveal mutant physiologies in diverse bioreactor conditions, leading to the design of robust strains with high chances of success in industrial settings.« less