ENGINEERING ACTINOBACILLUS SUCCINOGENES for SUCCINATE PRODUCTION- a FOCUS on SUCCINATE TRANSPORTERS and SMALL Rnas

Total Page:16

File Type:pdf, Size:1020Kb

ENGINEERING ACTINOBACILLUS SUCCINOGENES for SUCCINATE PRODUCTION- a FOCUS on SUCCINATE TRANSPORTERS and SMALL Rnas ENGINEERING ACTINOBACILLUS SUCCINOGENES FOR SUCCINATE PRODUCTION- A FOCUS ON SUCCINATE TRANSPORTERS AND SMALL RNAs By Rajasi Virendra Joshi A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of Microbiology and Molecular Genetics- Doctor of Philosophy 2017 ABSTRACT ENGINEERING ACTINOBACILLUS SUCCINOGENES FOR SUCCINATE PRODUCTION- A FOCUS ON SUCCINATE TRANSPORTERS AND SMALL RNAS By Rajasi Virendra Joshi An important aspect of any industrial scale bio-based production is the choice of biocatalyst used. Many commercially relevant microorganisms and industrial strains have been engineered to optimize the production of bio-based chemicals. One such chemical is succinate, listed as one of the top 12 building block chemicals from biomass by the US Department of Energy. Succinate is considered an important platform chemical as it has a number of applications and, most importantly, is a precursor to high-volume value-added commodity chemicals. Bio-based succinate is currently being produced at industrial scale levels using engineered microorganisms such as E. coli and S. cerevisiae. Actinobacillus succinogenes is one of the best natural succinate producers, which can grow on a wide variety of substrates, and, with the advance in genetic tools, can possibly be engineered for increased succinate production. Very few studies have focused on using succinate exporters as metabolic engineering targets for succinate production. Only a handful of studies have been carried out in E. coli and C. glutamicum with none whatsoever in A. succinogenes. With a combination of proteomics and transcriptomics we have identified candidate succinate transporters in A. succinogenes. Four of the top hits in our proteomics analysis were Asuc_1999, Asuc_0142, Asuc_2058 and Asuc_1990-91. To carefully tune the expression of these membrane proteins, we generated a library of promoters covering a large range of strengths below the strong, constitutive promoter (ppckA) we had been using. Some of the promoters were truncated versions of ppckA, and others were identified from our transcriptomics data. These promoters were tested using lacZ as the reporter gene in an A. succinogenes ∆lacZ background. Promoters ranged from ppckA as the highest down to pAsuc_0701 with a strength 209-fold lower than ppckA. The four succinate transporter candidates over-expressed under ppckA-92, a truncated version of ppckA, increased the succinate yield in glucose cultures compared to the control strain carrying the empty vector. Synthetic small RNAs (sRNAs) are another tool for metabolically engineering industrially relevant microorganisms. However, no sRNAs have been identified in A. succinogenes and only a few have been identified in other members of the Pasteurellaceae family. We identified sRNAs in A. succinogenes grown anaerobically on glucose and microaerobically on glycerol by RNA sequencing. We found 260 sRNAs in total, of which 39 were predicted by at least one of five computational programs. We validated 14 sRNAs identified from sequencing with RT-PCR. Additionally we identified probable Hfq-binding sRNAs through their Rho-independent terminators, a key feature of Hfq-binding sRNAs. Using additional characteristics of Hfq- binding sRNAs, we designed synthetic sRNAs targeting lacZ expression as a proof of concept. One plasmid-borne synthetic sRNA caused a 32% decrease in β-galactosidase activity in lactose- grown cultures. Using the same sRNAs scaffolds, we generated synthetic sRNAs that targeted the ackA and pta mRNAs to decrease the production of acetate, one of the major by-products of succinate production. One of the synthetic sRNAs targeting ackA caused a 14% decrease in the acetate yield of glucose-grown cultures. In summary, we have identified candidate succinate transporters and seen an increase in succinate production upon their overexpression. In the process, we have developed a promoter library for tunable expression of genes in A. succinogenes. We have also shown that sRNAs can be used as a tool for metabolic engineering in A. succinogenes, although additional studies are needed to make it more tunable and robust. This dissertation is dedicated to my entire family, especially my husband, Ashwin for his patience, constant encouragement and morale boosting pep talks. I thank my parents, sister, brother-in law and in-laws for always believing in me and supporting me throughout this journey. iv ACKNOWLEDGEMENTS This dissertation has been possible only because of the contributions of several people who have guided and helped me throughout these years. First and foremost, I would like to express my sincere gratitude to my mentor, Dr. Claire Vieille for giving me the opportunity to work in her lab during my Master’s and for my PhD. I thank her for being a great mentor and for always taking out the time to discuss any idea, big or small, despite being busy with numerous other things. Her intellect, passion for science and positive attitude has always inspired and motivated me, especially during the more trying times of this project. I will always be indebted to her, for her guidance and thoughtful input throughout my PhD. I am thankful to all the members of the Vieille lab- Maris Laiveneiks, Dr. Bryan Schindler, Dr. Justin Beauchamp, Dr. Nikolas Mcpherson and Peggy Wolf for a great work atmosphere with lots of support and help. I am truly grateful for the time taken by Dr. Bryan Schindler to train me during my initial years in the lab even when he was busy with his own experiments. I am also grateful to Maris Laivenieks, who was always willing to help me, especially during my initial struggles while building a chemostat and mixing gas tanks. I would like to thank Dr. Nikolas McPherson for being an excellent lab member and for all the helpful discussions we had while working with Actinobacillus succinogenes during the course of both of our PhDs. I must acknowledge Dr. Justin Beauchamp for helping me with the intial RNAseq analysis. I wish to thank Barry Tigner, who has saved my experiments numerous times, by fixing last minute instrument fails. I must thank my committee members, Drs. Gemma Reguera, Michael Bagdasarian, Shannon Manning, Yair Shachar-Hill for their expert guidance and constructive feedback. I v would like to thank Dr. Donna Koslowsky for letting me use her lab and Laura Kirby, her grad student for helping me set up Northern blots. I would like to thank all the undergraduates who helped me with my project, Alex Yang, Jean Kim, Maeva Bottex, Matthias Schulz, Kanupriya Tiwari, Joel Tencer, Jacob Gibson, Aaron Walters, Jack Peleman and Corey Kennelly. It was a pleasure interacting with each of them and training them has made me a better researcher. I would like to thank Betty Miller, graduate secretary of Microbiology and Molecular Genetics for helping me navigate through the paperwork required and other assistance throughout these years. I am grateful for the lasting friendships I have made here at MSU. I feel fortunate to have had a strong support system in them, sharing the ups and downs of graduate life. vi TABLE OF CONTENTS LIST OF TABLES .......................................................................................................................... x LIST OF FIGURES ...................................................................................................................... xii Chapter 1 Introduction .................................................................................................................... 1 1.1 Bio-based succinate production ............................................................................................ 2 1.2 Substrates and feedstocks for succinate production .............................................................. 4 1.3 Applications for succinate and its derivatives ....................................................................... 4 1.4 Succinate-producing microorganisms ................................................................................... 5 1.4.1 Native succinate producers ............................................................................................. 5 1.4.2 Engineered succinate producers ................................................................................... 12 1.5 C4-dicarboxylate transporters ............................................................................................. 21 1.5.1 E. coli C4-dicarboxylate transporters ........................................................................... 21 1.5.2 C4-dicarboxylate transporters in other succinate producers ........................................ 23 1.6 sRNAs as synthetic regulators for metabolic engineering .................................................. 24 1.7 Identification of small RNAs in Pasteurelleaceae ............................................................... 28 1.8 Introduction to chapters ....................................................................................................... 28 REFERENCES .......................................................................................................................... 31 Chapter 2 Identification of succinate transporters in Actinobacillus succinogenes ...................... 42 2.1 Abstract ............................................................................................................................... 43 2.2 Introduction ........................................................................................................................
Recommended publications
  • 1471-2148-6-2.Pdf
    BMC Evolutionary Biology BioMed Central Research article Open Access A new experimental approach for studying bacterial genomic island evolution identifies island genes with bacterial host-specific expression patterns James W Wilson* and Cheryl A Nickerson Address: Program in Molecular Pathogenesis and Immunity, Department of Microbiology and Immunology, Tulane University Health Sciences Center, 1430 Tulane Avenue, Room 5728, New Orleans, LA 70112 USA Email: James W Wilson* - [email protected]; Cheryl A Nickerson - [email protected] * Corresponding author Published: 05 January 2006 Received: 08 July 2005 Accepted: 05 January 2006 BMC Evolutionary Biology 2006, 6:2 doi:10.1186/1471-2148-6-2 This article is available from: http://www.biomedcentral.com/1471-2148/6/2 © 2006 Wilson and Nickerson; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Genomic islands are regions of bacterial genomes that have been acquired by horizontal transfer and often contain blocks of genes that function together for specific processes. Recently, it has become clear that the impact of genomic islands on the evolution of different bacterial species is significant and represents a major force in establishing bacterial genomic variation. However, the study of genomic island evolution has been mostly performed at the sequence level using computer software or hybridization analysis to compare different bacterial genomic sequences. We describe here a novel experimental approach to study the evolution of species-specific bacterial genomic islands that identifies island genes that have evolved in such a way that they are differentially-expressed depending on the bacterial host background into which they are transferred.
    [Show full text]
  • ABSTRACT EVANS, MATTHEW RICHARD. Global Effects of The
    ABSTRACT EVANS, MATTHEW RICHARD. Global Effects of the Transcriptional Regulators ArcA and FNR in Anaerobically Grown Salmonella enterica sv. Typhimurium 14028s. (Under the direction of Dr. Hosni M. Hassan.) The purpose of this research was to assess and compare the genome-wide transcriptional profiles and virulence in mice of the global regulators, FNR (Fumarate Nitrate Reductase) and ArcA (Aerobic Respiratory Control) in anaerobically grown Salmonella enterica serovar Typhimurium 14028s. FNR controls the expression of target genes by sensing and responding to the presence or absence of dioxygen via assembly-disassembly of oxygen-liable iron-sulfur clusters, while ArcA is a two-component (ArcA/ArcB), cytosolic redox response regulator. This work demonstrates that FNR is a positive regulator of motility, flagellar biosynthesis, and pathogenesis. An fnr mutant was non- motile, lacked flagella, attenuated for virulence in mice, and did not survive inside macrophages. In S. Typhimurium, as in Escherichia coli, the FNR modulon encompassed the core metabolic and energy functions as well as motility. Salmonella-specific genes/operons regulated by FNR included those required for ethanolamine utilization, newly identified flagellar genes (mcpAC, cheV), several virulence genes in Salmonella pathogenicity island 1 (SPI-1), and the srfABC operon. ArcA serves as a transcriptional repressor/activator coordinating cellular metabolism and motility. An arcA mutant was non-motile, lacked flagella, and was as virulent as the wild-type strain via intraperitoneal challenge in mice. In S. Typhimurium, as in E. coli, the ArcA modulon encompassed the core metabolic and energy functions as well as motility. Salmonella-specific genes/operons regulated by ArcA included those for propanediol utilization, newly identified flagellar genes (mcpAC, cheV), Gifsy- 1 prophage genes, and a few virulence genes located in SPI-3 (mgtBC, slsA, STM3784).
    [Show full text]
  • Evidence for Escherichia Coli Dcud Carrier Dependent FOF1-Atpase
    www.nature.com/scientificreports OPEN Evidence for Escherichia coli DcuD carrier dependent FOF1-ATPase activity during fermentation of Received: 26 October 2018 Accepted: 27 February 2019 glycerol Published: xx xx xxxx L. Karapetyan1, A. Valle4, J. Bolivar4, A. Trchounian 1,2 & K. Trchounian1,2,3 During fermentation Escherichia coli excrete succinate mainly via Dcu family carriers. Current work reveals the total and N,N’-dicyclohexylcarbodiimide (DCCD) inhibited ATPase activity at pH 7.5 and 5.5 in E. coli wild type and dcu mutants upon glycerol fermentation. The overall ATPase activity was highest at pH 7.5 in dcuABCD mutant. In wild type cells 50% of the activity came from the FOF1-ATPase but in dcuD mutant it reached ~80%. K+ (100 mM) stimulate total but not DCCD inhibited ATPase activity 40% and 20% in wild type and dcuD mutant, respectively. 90% of overall ATPase activity was inhibited by DCCD at pH 5.5 only in dcuABC mutant. At pH 7.5 the H+ fuxes in E. coli wild type, dcuD and dcuABCD mutants was similar but in dcuABC triple mutant the H+ fux decreased 1.4 fold reaching 1.15 mM/min when glycerol was supplemented. In succinate assays the H+ fux was higher in the strains where DcuD is absent. No signifcant diferences were determined in wild type and mutants specifc growth rate except dcuD strain. Taken together it is suggested that during glycerol fermentation DcuD has impact + on H fuxes, FOF1-ATPase activity and depends on potassium ions. Escherichia coli transport and use diverse C4-dicarboxylates (succinate, malate, aspartate or fumarate) in antiport + manner or symport with H during aerobic or anaerobic growth.
    [Show full text]
  • The Ion Transporter Superfamily
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Biochimica et Biophysica Acta 1618 (2003) 79–92 www.bba-direct.com The ion transporter superfamily Shraddha Prakash, Garret Cooper, Soumya Singhi, Milton H. Saier Jr.* Division of Biological Sciences, University of California at San Diego, La Jolla, CA 92093-0116, USA Received 21 August 2003; received in revised form 15 October 2003; accepted 17 October 2003 Abstract We define a novel superfamily of secondary carriers specific for cationic and anionic compounds, which we have termed the ion transporter (IT) superfamily. Twelve recognized and functionally defined families constitute this superfamily. We provide statistical sequence analyses demonstrating that these families were in fact derived from a common ancestor. Further, we characterize the 12 families in terms of (1) the known substrates transported, (2) the modes of transport and energy coupling mechanisms used, (3) the family sizes (in numbers of sequenced protein members in the current NCBI database), (4) the organismal distributions of the members of each family, (5) the size ranges of the constituent proteins, (6) the predicted topologies of these proteins, and (7) the occurrence of non-homologous auxiliary proteins that may either facilitate or be required for transport. No member of the superfamily is known to function in a capacity other than transport. Proteins in several of the constituent families are shown to have arisen by tandem intragenic duplication events, but topological variation has resulted from a variety of dissimilar genetic fusion, splicing and insertional events. The evolutionary relationships between the members of each family are defined, leading to predictions of functionally relevant orthologous relationships.
    [Show full text]
  • Pagp-MEDIATED SIGNAL TRANSDUCTION
    PagP-MEDIATED SIGNAL TRANSDUCTION PagP-MEDIATED SIGNAL TRANSDUCTION: LINK TO THE dmsABC OPERON IN Escherichia coli. BY LISET MALDONADO ALVAREZ. B.Sc., M.Sc. A Thesis Submitted to the School of Graduate Studies in Partial Fulfilment of the Requirement for the Degree Doctor of Philosophy McMaster University ©Copyright by Liset Maldonado Alvarez, August 2018 DESCRIPTIVE NOTE DOCTOR OF PHILOSOPHY (2018) McMaster University (Chemical Biology) Hamilton, Ontario TITLE: PagP-mediated Signal Transduction: Link to the dmsABC operon in Escherichia coli. SUPERVISOR: Dr. Russell Bishop NUMBER OF PAGES: 172 ii ABSTRACT In Escherichia coli, the integral outer membrane (OM) enzyme PagP covalently modifies lipid A by incorporating a phospholipid-derived palmitate chain to fortify the OM permeability barrier. We perturbed the bacterial OM in order to activate PagP and examined if it exerts transcriptional regulation through either of its extracellular or periplasmic active sites. Data from RNA-seq revealed the differential expression of 50 genes upon comparing the E. coli imp4213 (lptD4213) strain NR760∆pagPλInChpagP (shortened to NR760λp in this work), in which PagP is constitutively activated, and the mutant NR760λpY87F carrying the periplasmic residue mutation Y87F. 40 genes were upregulated, and encoded proteins related to anaerobic processes, whereas 10 genes were downregulated and encoded proteins related to aerobic processes. RNA-seq was followed by a study of differential gene expression using the NanoString nCounter system. Results confirmed a 2.7-fold upregulation of dmsA when we compared the strains NR760λp to NR760λpY87F. We also found a 2.5-fold repression of dmsA transcription when we compared the lptD+ parental strain NR754λp to NR754λpS77A carrying the mutation S77A in the extracellular active site of PagP.
    [Show full text]