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Flux balance analysis

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https://www.readbyqxmd.com/read/28194224/carbon-uptake-by-mature-amazon-forests-has-mitigated-amazon-nations-carbon-emissions
#1
Oliver L Phillips, Roel J W Brienen
BACKGROUND: Several independent lines of evidence suggest that Amazon forests have provided a significant carbon sink service, and also that the Amazon carbon sink in intact, mature forests may now be threatened as a result of different processes. There has however been no work done to quantify non-land-use-change forest carbon fluxes on a national basis within Amazonia, or to place these national fluxes and their possible changes in the context of the major anthropogenic carbon fluxes in the region...
December 2017: Carbon Balance and Management
https://www.readbyqxmd.com/read/28187415/estimation-of-biomass-composition-from-genomic-and-transcriptomic-information
#2
Sophia Santos, Isabel Rocha
Given the great potential impact of the growing number of complete genome-scale metabolic network reconstructions of microorganisms, bioinformatics tools are needed to simplify and accelerate the course of knowledge in this field. One essential component of a genome-scale metabolic model is its biomass equation, whose maximization is one of the most common objective functions used in Flux Balance Analysis formulations. Some components of biomass, such as amino acids and nucleotides, can be estimated from genome information, providing reliable data without the need of performing lab experiments...
November 27, 2016: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28187207/a-multi-objective-constraint-based-approach-for-modeling-genome-scale-microbial-ecosystems
#3
Marko Budinich, Jérémie Bourdon, Abdelhalim Larhlimi, Damien Eveillard
Interplay within microbial communities impacts ecosystems on several scales, and elucidation of the consequent effects is a difficult task in ecology. In particular, the integration of genome-scale data within quantitative models of microbial ecosystems remains elusive. This study advocates the use of constraint-based modeling to build predictive models from recent high-resolution -omics datasets. Following recent studies that have demonstrated the accuracy of constraint-based models (CBMs) for simulating single-strain metabolic networks, we sought to study microbial ecosystems as a combination of single-strain metabolic networks that exchange nutrients...
2017: PloS One
https://www.readbyqxmd.com/read/28165133/iterative-optimization-of-xylose-catabolism-in-saccharomyces-cerevisiae-using-combinatorial-expression-tuning
#4
Luke N Latimer, John E Dueber
A common challenge in metabolic engineering is rapidly identifying rate-controlling enzymes in heterologous pathways for subsequent production improvement. We demonstrate a workflow to address this challenge and apply it to improving xylose utilization in Saccharomyces cerevisiae. For eight reactions required for conversion of xylose to ethanol, we screened enzymes for functional expression in S. cerevisiae, followed by a combinatorial expression analysis to achieve pathway flux balancing and identification of limiting enzymatic activities...
February 6, 2017: Biotechnology and Bioengineering
https://www.readbyqxmd.com/read/28163785/efficient-estimation-of-the-maximum-metabolic-productivity-of-batch-systems
#5
Peter C St John, Michael F Crowley, Yannick J Bomble
BACKGROUND: Production of chemicals from engineered organisms in a batch culture involves an inherent trade-off between productivity, yield, and titer. Existing strategies for strain design typically focus on designing mutations that achieve the highest yield possible while maintaining growth viability. While these methods are computationally tractable, an optimum productivity could be achieved by a dynamic strategy in which the intracellular division of resources is permitted to change with time...
2017: Biotechnology for Biofuels
https://www.readbyqxmd.com/read/28149324/exploring-eukaryotic-formate-metabolisms-to-enhance-microbial-growth-and-lipid-accumulation
#6
Zhiguo Liu, Tolutola Oyetunde, Whitney D Hollinshead, Anna Hermanns, Yinjie J Tang, Wei Liao, Yan Liu
BACKGROUND: C1 substrates (such as formate and methanol) are promising feedstock for biochemical/biofuel production. Numerous studies have been focusing on engineering heterologous pathways to incorporate C1 substrates into biomass, while the engineered microbial hosts often demonstrate inferior fermentation performance due to substrate toxicity, metabolic burdens from engineered pathways, and poor enzyme activities. Alternatively, exploring native C1 pathways in non-model microbes could be a better solution to address these challenges...
2017: Biotechnology for Biofuels
https://www.readbyqxmd.com/read/28129406/diurnal-and-seasonal-variations-in-the-net-ecosystem-co2-exchange-of-a-pasture-in-the-three-river-source-region-of-the-qinghai-tibetan-plateau
#7
Bin Wang, Haiyan Jin, Qi Li, Dongdong Chen, Liang Zhao, Yanhong Tang, Tomomichi Kato, Song Gu
Carbon dioxide (CO2) exchange between the atmosphere and grassland ecosystems is very important for the global carbon balance. To assess the CO2 flux and its relationship to environmental factors, the eddy covariance method was used to evaluate the diurnal cycle and seasonal pattern of the net ecosystem CO2 exchange (NEE) of a cultivated pasture in the Three-River Source Region (TRSR) on the Qinghai-Tibetan Plateau from January 1 to December 31, 2008. The diurnal variations in the NEE and ecosystem respiration (Re) during the growing season exhibited single-peak patterns, the maximum and minimum CO2 uptake observed during the noon hours and night; and the maximum and minimum Re took place in the afternoon and early morning, respectively...
2017: PloS One
https://www.readbyqxmd.com/read/28125882/the-dynamic-steady-state-of-an-electrochemically-generated-nanobubble
#8
Yuwen Liu, Martin A Edwards, Sean R German, Qianjin Chen, Henry S White
This article describes the dynamic steady state of individual H2 nanobubbles generated by H(+) reduction at inlaid and recessed Pt nanodisk electrodes. Electrochemical measurements coupled with finite element simulations allow analysis of the nanobubble geometry at dynamic equilibrium. We demonstrate that a bubble is sustainable at Pt nanodisks due to the balance of nanobubble shrinkage due to H2 dissolution and growth due to H2 electrogeneration. Specifically, simulations are used to predict stable geometries of the H2/Pt/solution three-phase interface and the width of exposed Pt at the disk circumference required to sustain the nanobubble via steady-state H2 electrogeneration...
February 13, 2017: Langmuir: the ACS Journal of Surfaces and Colloids
https://www.readbyqxmd.com/read/28113867/metabolic-flux-analysis-in-isotope-labeling-experiments-using-the-adjoint-approach
#9
Stephane Mottelet, Gil Gaullier, Georges Sadaka
Comprehension of metabolic pathways is considerably enhanced by metabolic flux analysis (MFA-ILE) in isotope labeling experiments. The balance equations are given by hundreds of algebraic (stationary MFA) or ordinary differential equations (nonstationary MFA), and reducing the number of operations is therefore a crucial part of reducing the computation cost. The main bottleneck for deterministic algorithms is the computation of derivatives, particularly for nonstationary MFA. In this article we explain how the overall identification process may be speeded up by using the adjoint approach to compute the gradient of the residual sum of squares...
March 21, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28107392/upon-accounting-for-the-impact-of-isoenzyme-loss-gene-deletion-costs-anticorrelate-with-their-evolutionary-rates
#10
Christopher Jacobs, Luke Lambourne, Yu Xia, Daniel Segrè
System-level metabolic network models enable the computation of growth and metabolic phenotypes from an organism's genome. In particular, flux balance approaches have been used to estimate the contribution of individual metabolic genes to organismal fitness, offering the opportunity to test whether such contributions carry information about the evolutionary pressure on the corresponding genes. Previous failure to identify the expected negative correlation between such computed gene-loss cost and sequence-derived evolutionary rates in Saccharomyces cerevisiae has been ascribed to a real biological gap between a gene's fitness contribution to an organism "here and now" and the same gene's historical importance as evidenced by its accumulated mutations over millions of years of evolution...
2017: PloS One
https://www.readbyqxmd.com/read/28103880/the-use-of-genome-scale-metabolic-network-reconstruction-to-predict-fluxes-and-equilibrium-composition-of-n-fixing-versus-c-fixing-cells-in-a-diazotrophic-cyanobacterium-trichodesmium-erythraeum
#11
Joseph J Gardner, Nanette R Boyle
BACKGROUND: Computational, genome based predictions of organism phenotypes has enhanced the ability to investigate the biological phenomena that help organisms survive and respond to their environments. In this study, we have created the first genome-scale metabolic network reconstruction of the nitrogen fixing cyanobacterium T. erythraeum and used genome-scale modeling approaches to investigate carbon and nitrogen fluxes as well as growth and equilibrium population composition. RESULTS: We created a genome-scale reconstruction of T...
January 19, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28093405/distributedfba-jl-high-level-high-performance-flux-balance-analysis-in-julia
#12
Laurent Heirendt, Ines Thiele, Ronan M T Fleming
MOTIVATION: Flux balance analysis, and its variants, are widely used methods for predicting steady-state reaction rates in biochemical reaction networks. The exploration of high dimensional networks with such methods is currently hampered by software performance limitations. RESULTS: DistributedFBA.jl is a high-level, high-performance, open-source implementation of flux balance analysis in Julia. It is tailored to solve multiple flux balance analyses on a subset or all the reactions of large and huge-scale networks, on any number of threads or nodes...
January 16, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28088694/metabolic-network-modeling-with-model-organisms
#13
REVIEW
L Safak Yilmaz, Albertha Jm Walhout
Flux balance analysis (FBA) with genome-scale metabolic network models (GSMNM) allows systems level predictions of metabolism in a variety of organisms. Different types of predictions with different accuracy levels can be made depending on the applied experimental constraints ranging from measurement of exchange fluxes to the integration of gene expression data. Metabolic network modeling with model organisms has pioneered method development in this field. In addition, model organism GSMNMs are useful for basic understanding of metabolism, and in the case of animal models, for the study of metabolic human diseases...
January 12, 2017: Current Opinion in Chemical Biology
https://www.readbyqxmd.com/read/28081159/osmoregulation-in-the-halophilic-bacterium-halomonas-elongata-a-case-study-for-integrative-systems-biology
#14
Viktoria Kindzierski, Silvia Raschke, Nicole Knabe, Frank Siedler, Beatrix Scheffer, Katharina Pflüger-Grau, Friedhelm Pfeiffer, Dieter Oesterhelt, Alberto Marin-Sanguino, Hans-Jörg Kunte
Halophilic bacteria use a variety of osmoregulatory methods, such as the accumulation of one or more compatible solutes. The wide diversity of compounds that can act as compatible solute complicates the task of understanding the different strategies that halophilic bacteria use to cope with salt. This is specially challenging when attempting to go beyond the pathway that produces a certain compatible solute towards an understanding of how the metabolic network as a whole addresses the problem. Metabolic reconstruction based on genomic data together with Flux Balance Analysis (FBA) is a promising tool to gain insight into this problem...
2017: PloS One
https://www.readbyqxmd.com/read/28073473/how-rising-co2-and-global-warming-may-stimulate-harmful-cyanobacterial-blooms
#15
REVIEW
Petra M Visser, Jolanda M H Verspagen, Giovanni Sandrini, Lucas J Stal, Hans C P Matthijs, Timothy W Davis, Hans W Paerl, Jef Huisman
Climate change is likely to stimulate the development of harmful cyanobacterial blooms in eutrophic waters, with negative consequences for water quality of many lakes, reservoirs and brackish ecosystems across the globe. In addition to effects of temperature and eutrophication, recent research has shed new light on the possible implications of rising atmospheric CO2 concentrations. Depletion of dissolved CO2 by dense cyanobacterial blooms creates a concentration gradient across the air-water interface. A steeper gradient at elevated atmospheric CO2 concentrations will lead to a greater influx of CO2, which can be intercepted by surface-dwelling blooms, thus intensifying cyanobacterial blooms in eutrophic waters...
April 2016: Harmful Algae
https://www.readbyqxmd.com/read/28065897/trfba-an-algorithm-to-integrate-genome-scale-metabolic-and-transcriptional-regulatory-networks-with-incorporation-of-expression-data
#16
Ehsan Motamedian, Maryam Mohammadi, Seyed Abbas Shojaosadati, Mona Heydari
MOTIVATION: Integration of different biological networks and data-types has been a major challenge in systems biology. The present study introduces the transcriptional regulated flux balance analysis (TRFBA) algorithm that integrates transcriptional regulatory and metabolic models using a set of expression data for various perturbations. RESULTS: TRFBA considers the expression levels of genes as a new continuous variable and introduces two new linear constraints...
January 8, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28053665/improved-growth-rate-in-clostridium-thermocellum-hydrogenase-mutant-via-perturbed-sulfur-metabolism
#17
Ranjita Biswas, Charlotte M Wilson, Richard J Giannone, Dawn M Klingeman, Thomas Rydzak, Manesh B Shah, Robert L Hettich, Steven D Brown, Adam M Guss
BACKGROUND: Metabolic engineering is a commonly used approach to develop organisms for an industrial function, but engineering aimed at improving one phenotype can negatively impact other phenotypes. This lack of robustness can prove problematic. Cellulolytic bacterium Clostridium thermocellum is able to rapidly ferment cellulose to ethanol and other products. Recently, genes involved in H2 production, including the hydrogenase maturase hydG and NiFe hydrogenase ech, were deleted from the chromosome of C...
2017: Biotechnology for Biofuels
https://www.readbyqxmd.com/read/28042698/geochemically-distinct-carbon-isotope-distributions-in-allochromatium-vinosum-dsm-180-t-grown-photoautotrophically-and-photoheterotrophically
#18
T Tang, W Mohr, S R Sattin, D R Rogers, P R Girguis, A Pearson
Anoxygenic, photosynthetic bacteria are common at redox boundaries. They are of interest in microbial ecology and geosciences through their role in linking the carbon, sulfur, and iron cycles, yet much remains unknown about how their flexible carbon metabolism-permitting either autotrophic or heterotrophic growth-is recorded in the bulk sedimentary and lipid biomarker records. Here, we investigated patterns of carbon isotope fractionation in a model photosynthetic sulfur-oxidizing bacterium, Allochromatium vinosum DSM180(T) ...
January 1, 2017: Geobiology
https://www.readbyqxmd.com/read/28031032/metabolic-model-of-central-carbon-and-energy-metabolisms-of-growing-arabidopsis-thaliana-in-relation-to-sucrose-translocation
#19
Maksim Zakhartsev, Irina Medvedeva, Yury Orlov, Ilya Akberdin, Olga Krebs, Waltraud X Schulze
BACKGROUND: Sucrose translocation between plant tissues is crucial for growth, development and reproduction of plants. Systemic analysis of these metabolic and underlying regulatory processes allow a detailed understanding of carbon distribution within the plant and the formation of associated phenotypic traits. Sucrose translocation from 'source' tissues (e.g. mesophyll) to 'sink' tissues (e.g. root) is tightly bound to the proton gradient across the membranes. The plant sucrose transporters are grouped into efflux exporters (SWEET family) and proton-symport importers (SUC, STP families)...
December 28, 2016: BMC Plant Biology
https://www.readbyqxmd.com/read/28025701/flux-control-based-design-of-furfural-resistance-strains-of-saccharomyces-cerevisiae-for-lignocellulosic-biorefinery
#20
Pornkamol Unrean
We have previously developed a dynamic flux balance analysis of Saccharomyces cerevisiae for elucidation of genome-wide flux response to furfural perturbation (Unrean and Franzen, Biotechnol J 10(8):1248-1258, 2015). Herein, the dynamic flux distributions were analyzed by flux control analysis to identify target overexpressed genes for improved yeast robustness against furfural. The flux control coefficient (FCC) identified overexpressing isocitrate dehydrogenase (IDH1), a rate-controlling flux for ethanol fermentation, and dicarboxylate carrier (DIC1), a limiting flux for cell growth, as keys of furfural-resistance phenotype...
December 26, 2016: Bioprocess and Biosystems Engineering
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