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Dive into the research topics where Whitney D. Hollinshead is active.

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Featured researches published by Whitney D. Hollinshead.


Marine Drugs | 2013

Development of Synechocystis sp. PCC 6803 as a Phototrophic Cell Factory

Yi Yu; Le You; Dianyi Liu; Whitney D. Hollinshead; Yinjie J. Tang; Fuzhong Zhang

Cyanobacteria (blue-green algae) play profound roles in ecology and biogeochemistry. One model cyanobacterial species is the unicellular cyanobacterium Synechocystis sp. PCC 6803. This species is highly amenable to genetic modification. Its genome has been sequenced and many systems biology and molecular biology tools are available to study this bacterium. Recently, researchers have put significant efforts into understanding and engineering this bacterium to produce chemicals and biofuels from sunlight and CO2. To demonstrate our perspective on the application of this cyanobacterium as a photosynthesis-based chassis, we summarize the recent research on Synechocystis 6803 by focusing on five topics: rate-limiting factors for cell cultivation; molecular tools for genetic modifications; high-throughput system biology for genome wide analysis; metabolic modeling for physiological prediction and rational metabolic engineering; and applications in producing diverse chemicals. We also discuss the particular challenges for systems analysis and engineering applications of this microorganism, including precise characterization of versatile cell metabolism, improvement of product rates and titers, bioprocess scale-up, and product recovery. Although much progress has been achieved in the development of Synechocystis 6803 as a phototrophic cell factory, the biotechnology for “Compounds from Synechocystis” is still significantly lagging behind those for heterotrophic microbes (e.g., Escherichia coli).


Biotechnology and Bioengineering | 2016

Rapid metabolic analysis of Rhodococcus opacus PD630 via parallel 13C-metabolite fingerprinting

Whitney D. Hollinshead; William R. Henson; Mary H. Abernathy; Tae Seok Moon; Yinjie J. Tang

For rapid analysis of microbial metabolisms,13C‐fingerprinting employs a set of tracers to generate unique labeling patterns in key amino acids that can highlight active pathways. In contrast to rigorous 13C‐metabolic flux analysis (13C‐MFA), this method aims to provide metabolic insights without expensive flux measurements. Using13C‐fingerprinting, we investigated the metabolic pathways in Rhodococcus opacus PD630, a promising biocatalyst for the conversion of lignocellulosic feedstocks into value‐added chemicals. Specifically, seven metabolic insights were gathered as follows: (1) glucose metabolism mainly via the Entner–Doudoroff (ED) pathway; (2) lack of glucose catabolite repression during phenol co‐utilization; (3) simultaneous operation of gluconeogenesis and the ED pathway for the co‐metabolism of glucose and phenol; (4) an active glyoxylate shunt in acetate‐fed culture; (5) high flux through anaplerotic pathways (e.g., malic enzyme and phosphoenolpyruvate carboxylase); (6) presence of alternative glycine synthesis pathway via glycine dehydrogenase; and (7) utilization of preferred exogenous amino acids (e.g., phenylalanine). Additionally, a13C‐fingerprinting kit was developed for studying the central metabolism of non‐model microbial species. This low‐cost kit can be used to characterize microbial metabolisms and facilitate the design‐build‐test‐learn cycle during the development of microbial cell factories. Biotechnol. Bioeng. 2016;113: 91–100.


Bioresource Technology | 2015

Effects of inhibitory compounds in lignocellulosic hydrolysates on Mortierella isabellina growth and carbon utilization.

Zhenhua Ruan; Whitney D. Hollinshead; Christine Isaguirre; Yinjie J. Tang; Wei Liao; Yan Liu

Oleaginous fungus Mortierella isabellina showed excellent lipid conversion on non-detoxified lignocellulosic hydrolysate. This study investigated the effects of inhibitory compounds (furfural, hydroxymethylfurfural, and ferulic and coumaric acids) in lignocellulosic hydrolysate on M. isabellina growth and lipid production. M. isabellina can tolerate furfural (∼1 g/L), hydroxymethylfurfural (∼2.5 g/L), ferulic (∼0.5 g/L) and coumaric acid (∼0.5 g/L) with normal growth rates. Synergistic effect of these inhibitors (2 g/L furfural, 0.4 g/L hydroxymethylfurfural, 0.02 g/L ferulic acid and 0.02 g/L coumaric acid) moderately reduces total fungal growth (by 28%), while the presence of these inhibitors has minor impact on cell lipid contents and lipid profiles. In the presence of inhibitory compounds, (13)C-tracing has revealed that M. isabellina can simultaneously utilize glucose and acetate, and acetate is mainly assimilated for synthesis of lipid and TCA cycle amino acids. The results also demonstrate that glucose has strong catabolite repression for xylose utilization for biomass and lipid production in the presence of inhibitors.


Frontiers in Microbiology | 2014

Biofuel production: an odyssey from metabolic engineering to fermentation scale-up

Whitney D. Hollinshead; Lian He; Yinjie J. Tang

Metabolic engineering has developed microbial cell factories that can convert renewable carbon sources into biofuels. Current molecular biology tools can efficiently alter enzyme levels to redirect carbon fluxes toward biofuel production, but low product yield and titer in large bioreactors prevent the fulfillment of cheap biofuels. There are three major roadblocks preventing economical biofuel production. First, carbon fluxes from the substrate dissipate into a complex metabolic network. Besides the desired product, microbial hosts direct carbon flux to synthesize biomass, overflow metabolites, and heterologous enzymes. Second, microbial hosts need to oxidize a large portion of the substrate to generate both ATP and NAD(P)H to power biofuel synthesis. High cell maintenance, triggered by the metabolic burdens from genetic modifications, can significantly affect the ATP supply. Thereby, fermentation of advanced biofuels (such as biodiesel and hydrocarbons) often requires aerobic respiration to resolve the ATP shortage. Third, mass transfer limitations in large bioreactors create heterogeneous growth conditions and micro-environmental fluctuations (such as suboptimal O2 level and pH) that induce metabolic stresses and genetic instability. To overcome these limitations, fermentation engineering should merge with systems metabolic engineering. Modern fermentation engineers need to adopt new metabolic flux analysis tools that integrate kinetics, hydrodynamics, and 13C-proteomics, to reveal the dynamic physiologies of the microbial host under large bioreactor conditions. Based on metabolic analyses, fermentation engineers may employ rational pathway modifications, synthetic biology circuits, and bioreactor control algorithms to optimize large-scale biofuel production.


Bioresource Technology | 2014

Boosting D-lactate production in engineered cyanobacteria using sterilized anaerobic digestion effluents.

Whitney D. Hollinshead; Arul M. Varman; Le You; Zachary Hembree; Yinjie J. Tang

Anaerobic digestion (AD) is an environmentally friendly approach to waste treatment, which can generate N and P-rich effluents that can be used as nutrient sources for microalgal cultivations. Modifications of AD processes to inhibit methanogenesis leads to the accumulation of acetic acid, a carbon source that can promote microalgal biosynthesis. This study tested different AD effluents from municipal wastes on their effect on D-lactate production by an engineered Synechocystis sp. PCC 6803 (carrying a novel lactate dehydrogenase). The results indicate that: (1) AD effluents can be supplemented into the modified BG-11 culture medium (up to 1:4 volume ratio) to reduce N and P cost; (2) acetate-rich AD effluents enhance D-lactate synthesis by ∼ 40% (1.2g/L of D-lactate in 20 days); and (3) neutral or acidic medium had a deleterious effect on lactate secretion and biomass growth by the engineered strain. This study demonstrates the advantages and guidelines in employing wastewater for photomixotrophic biosynthesis using engineered microalgae.


Biotechnology and Bioengineering | 2017

Cyanobacterial carbon metabolism: Fluxome plasticity and oxygen dependence

Ni Wan; Drew M. DeLorenzo; Lian He; Le You; Cheryl M. Immethun; George Wang; Edward E. K. Baidoo; Whitney D. Hollinshead; Jay D. Keasling; Tae Seok Moon; Yinjie J. Tang

Synechocystis sp. strain PCC 6803 has been widely used as a photo‐biorefinery chassis. Based on its genome annotation, this species contains a complete TCA cycle, an Embden‐Meyerhof‐Parnas pathway (EMPP), an oxidative pentose phosphate pathway (OPPP), and an Entner–Doudoroff pathway (EDP). To evaluate how Synechocystis 6803 catabolizes glucose under heterotrophic conditions, we performed 13C metabolic flux analysis, metabolite pool size analysis, gene knockouts, and heterologous expressions. The results revealed a cyclic mode of flux through the OPPP. Small, but non‐zero, fluxes were observed through the TCA cycle and the malic shunt. Independent knockouts of 6‐phosphogluconate dehydrogenase (gnd) and malic enzyme (me) corroborated these results, as neither mutant could grow under dark heterotrophic conditions. Our data also indicate that Synechocystis 6803 metabolism relies upon oxidative phosphorylation to generate ATP from NADPH under dark or insufficient light conditions. The pool sizes of intermediates in the TCA cycle, particularly acetyl‐CoA, were found to be several fold lower in Synechocystis 6803 (compared to E. coli metabolite pool sizes), while its sugar phosphate intermediates were several‐fold higher. Moreover, negligible flux was detected through the native, or heterologous, EDP in the wild type or Δgnd strains under heterotrophic conditions. Comparing photoautotrophic, photomixotrophic, and heterotrophic conditions, the Calvin cycle, OPPP, and EMPP in Synechocystis 6803 possess the ability to regulate their fluxes under various growth conditions (plastic), whereas its TCA cycle always maintains at low levels (rigid). This work also demonstrates how genetic profiles do not always reflect actual metabolic flux through native or heterologous pathways. Biotechnol. Bioeng. 2017;114: 1593–1602.


Microbial Cell Factories | 2014

Elucidation of intrinsic biosynthesis yields using 13C-based metabolism analysis

Arul M. Varman; Lian He; Le You; Whitney D. Hollinshead; Yinjie J. Tang

This paper discusses the use of 13C-based metabolism analysis for the assessment of intrinsic product yields — the actual carbon contribution from a single carbon substrate to the final product via a specific biosynthesis route — in the following four cases. First, undefined nutrients (such as yeast extract) in fermentation may contribute significantly to product synthesis, which can be quantified through an isotopic dilution method. Second, product and biomass synthesis may be dependent on the co-metabolism of multiple-carbon sources. 13C labeling experiments can track the fate of each carbon substrate in the cell metabolism and identify which substrate plays a main role in product synthesis. Third, 13C labeling can validate and quantify the contribution of the engineered pathway (versus the native pathway) to the product synthesis. Fourth, the loss of catabolic energy due to cell maintenance (energy used for functions other than production of new cell components) and low P/O ratio (Phosphate/Oxygen Ratio) significantly reduces product yields. Therefore, 13C-metabolic flux analysis is needed to assess the influence of suboptimal energy metabolism on microbial productivity, and determine how ATP/NAD(P)H are partitioned among various cellular functions. Since product yield is a major determining factor in the commercialization of a microbial cell factory, we foresee that 13C-isotopic labeling experiments, even without performing extensive flux calculations, can play a valuable role in the development and verification of microbial cell factories.


Biotechnology for Biofuels | 2016

Examining Escherichia coli glycolytic pathways, catabolite repression, and metabolite channeling using Δpfk mutants

Whitney D. Hollinshead; Sarah Rodriguez; Hector Garcia Martin; George Wang; Edward E. K. Baidoo; Kenneth L. Sale; Jay D. Keasling; Aindrila Mukhopadhyay; Yinjie J. Tang


Biotechnology for Biofuels | 2017

Deciphering cyanobacterial phenotypes for fast photoautotrophic growth via isotopically nonstationary metabolic flux analysis

Mary H. Abernathy; Jingjie Yu; Fangfang Ma; Michelle Liberton; Justin Ungerer; Whitney D. Hollinshead; Saratram Gopalakrishnan; Lian He; Costas D. Maranas; Himadri B. Pakrasi; Doug K. Allen; Yinjie J. Tang


Biotechnology for Biofuels | 2017

Exploring eukaryotic formate metabolisms to enhance microbial growth and lipid accumulation

Zhiguo Liu; Tolutola Oyetunde; Whitney D. Hollinshead; Anna Hermanns; Yinjie J. Tang; Wei Liao; Yan Liu

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Yinjie J. Tang

Washington University in St. Louis

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Le You

Washington University in St. Louis

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Lian He

Washington University in St. Louis

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Edward E. K. Baidoo

Lawrence Berkeley National Laboratory

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George Wang

Lawrence Berkeley National Laboratory

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Mary H. Abernathy

Washington University in St. Louis

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Arul M. Varman

Washington University in St. Louis

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Tae Seok Moon

Washington University in St. Louis

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Wei Liao

Michigan State University

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Yan Liu

Michigan State University

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