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Dive into the research topics where Todd R. Pray is active.

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Featured researches published by Todd R. Pray.


Green Chemistry | 2016

Development of an E. coli strain for one-pot biofuel production from ionic liquid pretreated cellulose and switchgrass

Marijke Frederix; Florence Mingardon; Matthew Hu; Ning Sun; Todd R. Pray; Seema Singh; Blake A. Simmons; Jay D. Keasling; Aindrila Mukhopadhyay

Biological production of chemicals and fuels using microbial transformation of sustainable carbon sources, such as pretreated and saccharified plant biomass, is a multi-step process. Typically, each segment of the workflow is optimized separately, often generating conditions that may not be suitable for integration or consolidation with the upstream or downstream steps. While significant effort has gone into developing solutions to incompatibilities at discrete steps, very few studies report the consolidation of the multi-step workflow into a single pot reactor system. Here we demonstrate a one-pot biofuel production process that uses the ionic liquid 1-ethyl-3-methylimidazolium acetate ([C2C1Im][OAc]) for pretreatment of switchgrass biomass. [C2C1Im][OAc] is highly effective in deconstructing lignocellulose, but nonetheless leaves behind residual reagents that are toxic to standard saccharification enzymes and the microbial production host. We report the discovery of an [C2C1Im]-tolerant E. coli strain, where [C2C1Im] tolerance is bestowed by a P7Q mutation in the transcriptional regulator encoded by rcdA. We establish that the causal impact of this mutation is the derepression of a hitherto uncharacterized major facilitator family transporter, YbjJ. To develop the strain for a one-pot process we engineered this [C2C1Im]-tolerant strain to express a recently reported D-limonene production pathway. We also screened previously reported [C2C1Im]-tolerant cellulases to select one that would function with the range of E. coli cultivation conditions and expressed it in the [C2C1Im]-tolerant E. coli strain so as to secrete this [C2C1Im]-tolerant cellulase. The final strain digests pretreated biomass, and uses the liberated sugars to produce the bio-jet fuel candidate precursor D-limonene in a one-pot process.


Bioresource Technology | 2015

Blending municipal solid waste with corn stover for sugar production using ionic liquid process

Ning Sun; Feng Xu; Noppadon Sathitsuksanoh; Vicki S. Thompson; Kara G. Cafferty; Chenlin Li; Deepti Tanjore; Akash Narani; Todd R. Pray; Blake A. Simmons; Seema Singh

Municipal solid waste (MSW) represents an attractive cellulosic resource for sustainable fuel production. However, its heterogeneity is the major barrier to efficient conversion to biofuels. MSW paper mix was generated and blended with corn stover (CS). It has been shown that both of them can be efficiently pretreated in certain ionic liquids (ILs) with high yields of fermentable sugars. After pretreatment in 1-ethyl-3-methylimidazolium acetate ([C2C1Im][OAc]), over 80% glucose has been released with enzymatic saccharification. We have also applied an enzyme-free process by adding mineral acid and water directly into the IL/biomass slurry to induce hydrolysis. With the acidolysis process in 1-ethyl-3-methylimidazolium chloride ([C2C1Im]Cl), up to 80% glucose and 90% xylose are released. There is a correlation between the viscosity profile and hydrolysis efficiency; low viscosity of the hydrolysate generally corresponds to high sugar yields. Overall, the results indicate the feasibility of incorporating MSW as a robust blending agent for biorefineries.


Nature microbiology | 2018

A bacterial pioneer produces cellulase complexes that persist through community succession

Sebastian Kolinko; Yu Wei Wu; Firehiwot Tachea; Evelyn Denzel; Jennifer Hiras; Raphael Gabriel; Nora Bäcker; Leanne Jade G. Chan; Stephanie A. Eichorst; Dario Frey; Qiushi Chen; Parastoo Azadi; Paul D. Adams; Todd R. Pray; Deepti Tanjore; Christopher J. Petzold; John M. Gladden; Blake A. Simmons; Steven W. Singer

Cultivation of microbial consortia provides low-complexity communities that can serve as tractable models to understand community dynamics. Time-resolved metagenomics demonstrated that an aerobic cellulolytic consortium cultivated from compost exhibited community dynamics consistent with the definition of an endogenous heterotrophic succession. The genome of the proposed pioneer population, ‘Candidatus Reconcilibacillus cellulovorans’, possessed a gene cluster containing multidomain glycoside hydrolases (GHs). Purification of the soluble cellulase activity from a 300litre cultivation of this consortium revealed that ~70% of the activity arose from the ‘Ca. Reconcilibacillus cellulovorans’ multidomain GHs assembled into cellulase complexes through glycosylation. These remarkably stable complexes have supramolecular structures for enzymatic cellulose hydrolysis that are distinct from cellulosomes. The persistence of these complexes during cultivation indicates that they may be active through multiple cultivations of this consortium and act as public goods that sustain the community. The provision of extracellular GHs as public goods may influence microbial community dynamics in native biomass-deconstructing communities relevant to agriculture, human health and biotechnology.Cultivation of a cellulolytic consortium reveals successional community dynamics and the presence of multidomain glycoside hydrolases assembled into stable complexes distinct from cellulosomes, which are produced by a potential pioneer population.


Green Chemistry | 2018

Demonstrating a separation-free process coupling ionic liquid pretreatment, saccharification, and fermentation with Rhodosporidium toruloides to produce advanced biofuels

Eric J. Sundstrom; Junko Yaegashi; Jipeng Yan; Fabrice Masson; Gabriella Papa; Alberto Rodriguez; Mona Mirsiaghi; Ling Liang; Qian He; Deepti Tanjore; Todd R. Pray; Seema Singh; Blake A. Simmons; Ning Sun; Jon K. Magnuson; John M. Gladden

Achieving low cost and high efficiency lignocellulose deconstruction is a critical step towards widespread adoption of lignocellulosic biofuels. Certain ionic liquid (IL)-based pretreatment processes effectively reduce recalcitrance of lignocellulose to enzymatic degradation but require either costly separations following pretreatment or novel IL compatible processes to mitigate downstream toxicity. Here we demonstrate at benchtop and pilot bioreactor scales a separation-free, intensified process for IL pretreatment, saccharification, and fermentation of sorghum biomass to produce the sesquiterpene bisabolene, a precursor to the renewable diesel and jet fuel bisabolane. The deconstruction process employs the IL cholinium lysinate ([Ch][Lys]), followed by enzymatic saccharification with the commercial enzyme cocktails Cellic CTec2 and HTec2. Glucose yields above 80% and xylose yields above 60% are observed at all scales tested. Unfiltered hydrolysate is fermented directly by Rhodosporidium toruloides – with glucose, xylose, acetate and lactate fully consumed during fermentation at all scales tested. Bisabolene titers improved with scale from 1.3 g L−1 in 30 mL shake flasks to 2.2 g L−1 in 20 L fermentation. The combined process enables conversion of saccharified IL-pretreated biomass directly to advanced biofuels with no separations or washing, minimal additions to facilitate fermentation, no loss of performance due to IL toxicity, and simplified fuel recovery via phase separation. This study is the first to demonstrate a separation-free IL based process for conversion of biomass to an advanced biofuel and is the first to demonstrate full consumption of glucose, xylose, acetate, and lactic acid in the presence of [Ch][Lys].


RSC Advances | 2017

Conversion of cellulose rich municipal solid waste blends using ionic liquids: feedstock convertibility and process scale-up

Ling Liang; Chenlin Li; Feng Xu; Qian He; Jipeng Yan; Tina Luong; Blake A. Simmons; Todd R. Pray; Seema Singh; Vicki S. Thompson; Ning Sun

Sixteen cellulose rich municipal solid waste (MSW) blends were developed and screened using an acid-assisted ionic liquid (IL) deconstruction process. Corn stover and switchgrass were chosen to represent herbaceous feedstocks; non-recyclable paper (NRP) and grass clippings (GC) collected from households were chosen as MSW candidates given their abundance in municipal waste streams. The most promising MSW blend: corn stover/non-recyclable paper (CS/NRP) at 80/20 ratio was identified in milliliter-scale screening based on the sugar yield, feedstock cost, and availability. A successful scale-up (600-fold) of the IL-acidolysis process on the identified CS/NRP blend has been achieved. The sugar and lignin streams were recovered and characterized. Mass and material energy flows of the optimized process were presented. Feedstock cost for MSW blends was also discussed. Results suggest the promising potential of using MSW as a feedstock blending agent for biorefineries while maintaining sufficient performance and low feedstock cost. The bench scale (6 L) study is an essential step in demonstrating the scalability of this IL technology.


Bioresource Technology | 2019

Simultaneous application of predictive model and least cost formulation can substantially benefit biorefineries outside Corn Belt in United States: A case study in Florida

Akash Narani; N. V. S. N. Murthy Konda; Chyi-Shin Chen; Firehiwot Tachea; Phil Coffman; James Gardner; Chenlin Li; Allison E. Ray; Damon S. Hartley; Blake A. Simmons; Todd R. Pray; Deepti Tanjore

Previously, a predictive model was developed to identify optimal blends of expensive high-quality and cheaper low-quality feedstocks for a given geographical location that can deliver high sugar yields. In this study, the optimal process conditions were tested for application at commercially-relevant higher biomass loadings. We observed lower sugar yields but 100% conversion to ethanol from a blend that contained only 20% high-quality feedstock. The impact of applying this predictive model simultaneously with least cost formulation model for a biorefinery location outside of the US Corn Belt in Lee County, Florida was investigated. A blend ratio of 0.30 EC, 0.45 SG, and 0.25 CS in Lee County was necessary to produce sugars at high yields and ethanol at a capacity of 50 MMGY. This work demonstrates utility in applying predictive model and LCF to reduce feedstock costs and supply chain risks while optimizing for product yields.


Nature Communications | 2018

Short-chain ketone production by engineered polyketide synthases in Streptomyces albus

Satoshi Yuzawa; Mona Mirsiaghi; Renee Jocic; Tatsuya Fujii; Fabrice Masson; Veronica T. Benites; Edward E. K. Baidoo; Eric J. Sundstrom; Deepti Tanjore; Todd R. Pray; Anthe George; Ryan W. Davis; John M. Gladden; Blake A. Simmons; Leonard Katz; Jay D. Keasling

Microbial production of fuels and commodity chemicals has been performed primarily using natural or slightly modified enzymes, which inherently limits the types of molecules that can be produced. Type I modular polyketide synthases (PKSs) are multi-domain enzymes that can produce unique and diverse molecular structures by combining particular types of catalytic domains in a specific order. This catalytic mechanism offers a wealth of engineering opportunities. Here we report engineered microbes that produce various short-chain (C5–C7) ketones using hybrid PKSs. Introduction of the genes into the chromosome of Streptomyces albus enables it to produce >1 g · l−1 of C6 and C7 ethyl ketones and several hundred mg · l−1 of C5 and C6 methyl ketones from plant biomass hydrolysates. Engine tests indicate these short-chain ketones can be added to gasoline as oxygenates to increase the octane of gasoline. Together, it demonstrates the efficient and renewable microbial production of biogasolines by hybrid enzymes.Mutating natural enzymes is effective in broadening the substrate or product range, but generally leads to reduced titers. Here the authors engineer hybrid polyketide synthases for efficient production of short-chain ketones from plant biomass hydrolysates in Streptomyces, which can increase the octane of gasoline.


Bioresource Technology | 2017

Predictive modeling to de-risk bio-based manufacturing by adapting to variability in lignocellulosic biomass supply

Akash Narani; Phil Coffman; James Gardner; Chenlin Li; Allison E. Ray; Damon S. Hartley; Allison Stettler; N. V. S. N. Murthy Konda; Blake A. Simmons; Todd R. Pray; Deepti Tanjore

Commercial-scale bio-refineries are designed to process 2000tons/day of single lignocellulosic biomass. Several geographical areas in the United States generate diverse feedstocks that, when combined, can be substantial for bio-based manufacturing. Blending multiple feedstocks is a strategy being investigated to expand bio-based manufacturing outside Corn Belt. In this study, we developed a model to predict continuous envelopes of biomass blends that are optimal for a given pretreatment condition to achieve a predetermined sugar yield or vice versa. For example, our model predicted more than 60% glucose yield can be achieved by treating an equal part blend of energy cane, corn stover, and switchgrass with alkali pretreatment at 120°C for 14.8h. By using ionic liquid to pretreat an equal part blend of the biomass feedstocks at 160°C for 2.2h, we achieved 87.6% glucose yield. Such a predictive model can potentially overcome dependence on a single feedstock.


Biotechnology for Biofuels | 2017

Rhodosporidium toruloides: a new platform organism for conversion of lignocellulose into terpene biofuels and bioproducts

Junko Yaegashi; James Kirby; Masakazu Ito; Jian Sun; Tanmoy Dutta; Mona Mirsiaghi; Eric R. Sundstrom; Alberto Rodriguez; Edward E. K. Baidoo; Deepti Tanjore; Todd R. Pray; Kenneth L. Sale; Seema Singh; Jay D. Keasling; Blake A. Simmons; Steven W. Singer; Jon K. Magnuson; Adam P. Arkin; Jeffrey M. Skerker; John M. Gladden


Biotechnology for Biofuels | 2017

Scale-up and process integration of sugar production by acidolysis of municipal solid waste/corn stover blends in ionic liquids

Chenlin Li; Ling Liang; Ning Sun; Vicki S. Thompson; Feng Xu; Akash Narani; Qian He; Deepti Tanjore; Todd R. Pray; Blake A. Simmons; Seema Singh

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Deepti Tanjore

Lawrence Berkeley National Laboratory

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Blake A. Simmons

Lawrence Berkeley National Laboratory

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Ning Sun

Lawrence Berkeley National Laboratory

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Qian He

Lawrence Berkeley National Laboratory

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Firehiwot Tachea

Lawrence Berkeley National Laboratory

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Ling Liang

Lawrence Berkeley National Laboratory

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Chenlin Li

Idaho National Laboratory

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Seema Singh

Sandia National Laboratories

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Eric J. Sundstrom

Lawrence Berkeley National Laboratory

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Akash Narani

Lawrence Berkeley National Laboratory

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