Expression of heterologous sigma factors enables functional screening of metagenomic and heterologous genomic libraries.

A key limitation in using heterologous genomic or metagenomic libraries in functional genomics and genome engineering is the low expression of heterologous genes in screening hosts, such as Escherichia coli. To overcome this limitation, here we generate E. coli strains capable of recognizing heterologous promoters by expressing heterologous sigma factors. Among seven sigma factors tested, RpoD from Lactobacillus plantarum (Lpl) appears to be able of initiating transcription from all sources of DNA. Using the promoter GFP-trap concept, we successfully screen several heterologous and metagenomic DNA libraries, thus enlarging the genomic space that can be functionally sampled in E. coli. For an application, we show that screening fosmid-based Lpl genomic libraries in an E. coli strain with a chromosomally integrated Lpl rpoD enables the identification of Lpl genetic determinants imparting strong ethanol tolerance in E. coli. Transcriptome analysis confirms increased expression of heterologous genes in the engineered strain.

Overexpression of the Lactobacillus plantarum peptidoglycan biosynthesis murA2 gene increases the tolerance of Escherichia coli to alcohols and enhances ethanol production.

A major challenge in producing chemicals and biofuels is to increase the tolerance of the host organism to toxic products or byproducts. An Escherichia coli strain with superior ethanol and more generally alcohol tolerance was identified by screening a library constructed by randomly integrating Lactobacillus plantarum genomic DNA fragments into the E. coli chromosome via Cre-lox recombination. Sequencing identified the inserted DNA fragment as the murA2 gene and its upstream intergenic 973-bp sequence, both coded on the negative genomic DNA strand. Overexpression of this murA2 gene and its upstream 973-bp sequence significantly enhanced ethanol tolerance in both E. coli EC100 and wild type E. coli MG1655 strains by 4.1-fold and 2.0-fold compared to control strains, respectively. Tolerance to n-butanol and i-butanol in E. coli MG1655 was increased by 1.85-fold and 1.91-fold, respectively. We show that the intergenic 973-bp sequence contains a native promoter for the murA2 gene along with a long 5' UTR (286 nt) on the negative strand, while a noncoding, small RNA, named MurA2S, is expressed off the positive strand. MurA2S is expressed in E. coli and may interact with murA2, but it does not affect murA2's ability to enhance alcohol tolerance in E. coli. Overexpression of murA2 with its upstream region in the ethanologenic E. coli KO11 strain significantly improved ethanol production in cultures that simulate the industrial Melle-Boinot fermentation process.

Exploring the heterologous genomic space for building, stepwise, complex, multicomponent tolerance to toxic chemicals.

Modern bioprocessing depends on superior cellular traits, many stemming from unknown genes and gene interactions. Tolerance to toxic chemicals is such an industrially important complex trait, which frequently limits the economic feasibility of producing commodity chemicals and biofuels. Chemical tolerance encompasses both improved cell viability and growth under chemical stress. Building upon the success of our recently reported semisynthetic stress response system expressed off plasmid pHSP (Heat Shock Protein), we probed the genomic space of the solvent tolerant Lactobacillus plantarum to identify genetic determinants that impart solvent tolerance in combination with pHSP. Using two targeted enrichments, one for superior viability and one for better growth under ethanol stress, we identified several beneficial heterologous DNA determinants that act synergistically with pHSP. In separate strains, a 209% improvement in survival and an 83% improvement in growth over previously engineered strains based on pHSP were thus generated. We then developed a composite phenotype of improved growth and survival by combining the identified L. plantarum genetic fragments. This demonstrates the concept for a sequential, iterative assembly strategy for building multigenic traits by exploring the synergistic effects of genetic determinants from a much broader genomic space. The best performing strain produced a 3.7-fold improved survival under 8% ethanol stress, as well as a 32% increase in growth under 4% ethanol. This strain also shows significantly improved tolerance to n-butanol. Improved solvent production is rarely examined in tolerance engineering studies. Here, we show that our system significantly improves ethanol productivity in a Melle-Boinot-like fermentation process.

Dissecting the assays to assess microbial tolerance to toxic chemicals in bioprocessing.

Microbial strains are increasingly used for the industrial production of chemicals and biofuels, but the toxicity of components in the feedstock and product streams limits process outputs. Selected or engineered microbes that thrive in the presence of toxic chemicals can be assessed using tolerance assays. Such assays must reasonably represent the conditions the cells will experience during the intended process and measure the appropriate physiological trait for the desired application. We review currently used tolerance assays, and examine the many parameters that affect assay outcomes. We identify and suggest the use of the best-suited assays for each industrial bioreactor operating condition, discuss next-generation assays, and propose a standardized approach for using assays to examine tolerance to toxic chemicals.

Overexpression of fetA (ybbL) and fetB (ybbM), Encoding an Iron Exporter, Enhances Resistance to Oxidative Stress in Escherichia coli.

Reactive oxygen species are generated by redox reactions and the Fenton reaction of H2O2 and iron that generates the hydroxyl radical that causes severe DNA, protein, and lipid damage. We screened Escherichia coli genomic libraries to identify a fragment, containing cueR, ybbJ, qmcA, ybbL, and ybbM, which enhanced resistance to H2O2 stress. We report that the ΔybbL and ΔybbM strains are more susceptible to H2O2 stress than the parent strain and that ybbL and ybbM overexpression overcomes H2O2 sensitivity. The ybbL and ybbM genes are predicted to code for an ATP-binding cassette metal transporter, and we demonstrate that YbbM is a membrane protein. We investigated various metals to identify iron as the likely substrate of this transporter. We propose the gene names fetA and fetB (for Fe transport) and the gene product names FetA and FetB. FetAB allows for increased resistance to oxidative stress in the presence of iron, revealing a role in iron homeostasis. We show that iron overload coupled with H2O2 stress is abrogated by fetA and fetB overexpression in the parent strain and in the Δfur strain, where iron uptake is deregulated. Furthermore, we utilized whole-cell electron paramagnetic resonance to show that intracellular iron levels in the Δfur strain are decreased by 37% by fetA and fetB overexpression. Combined, these findings show that fetA and fetB encode an iron exporter that has a role in enhancing resistance to H2O2-mediated oxidative stress and can minimize oxidative stress under conditions of iron overload and suggest that FetAB facilitates iron homeostasis to decrease oxidative stress.

Synthetic tolerance: three noncoding small RNAs, DsrA, ArcZ and RprA, acting supra-additively against acid stress.

Synthetic acid tolerance, especially during active cell growth, is a desirable phenotype for many biotechnological applications. Natively, acid resistance in Escherichia coli is largely a stationary-phase phenotype attributable to mechanisms mostly under the control of the stationary-phase sigma factor RpoS. We show that simultaneous overexpression of noncoding small RNAs (sRNAs), DsrA, RprA and ArcZ, which are translational RpoS activators, increased acid tolerance (based on a low-pH survival assay) supra-additively up to 8500-fold during active cell growth, and provided protection against carboxylic acid and oxidative stress. Overexpression of rpoS without its regulatory 5'-UTR resulted in inferior acid tolerance. The supra-additive effect of overexpressing the three sRNAs results from the impact their expression has on RpoS-protein levels, and the beneficial perturbation of the interconnected RpoS and H-NS networks, thus leading to superior tolerance during active growth. Unlike the overexpression of proteins, overexpression of sRNAs imposes hardly any metabolic burden on cells, and constitutes a more effective strain engineering strategy.

Exploring the combinatorial genomic space in Escherichia coli for ethanol tolerance.

Strain tolerance to toxic chemicals is desirable for biologically producing biofuels and chemicals. Standard genomic libraries can be screened to identify genes imparting tolerance, but cannot capture interactions among proximal or distant loci. In search of ethanol tolerance determinants, we expanded the genomic space combinatorially by screening coexisting genomic libraries (CoGeLs) of fosmids (large inserts) and plasmids (smaller inserts) under increasing ethanol concentrations. Such screening led to identification of interacting genetic loci imparting ethanol tolerance. One pair of fragments ([galT, galE] and [recA, pncC, mltB]) increased survival under 50 g/L ethanol by 38% when coexpressed, but individually the fragments had no effect. Coexpression of two genomic fragments ([sfsB, murA, yrbA, mlaB, mlaC, mlaD, mlaE, mlaF, yrbG] and [yrbA, mlaB, mlaC]) enhanced Escherichia coli survival to 50 g/L ethanol by up to 115%. A 35-kb fosmid fragment increased tolerance to 63 g/L ethanol by 160%. While the tolerance levels of these strains compare favorably to or exceed the performance of previously reported engineered strains, more significantly, this study demonstrates that combinatorial library screening and screening fosmid libraries offer new, previously unexplored tools for identifying genetic determinants of ethanol, and by extrapolation, other alcohol tolerance.

Coexisting/Coexpressing Genomic Libraries (CoGeL) identify interactions among distantly located genetic loci for developing complex microbial phenotypes.

In engineering novel microbial strains for biotechnological applications, beyond a priori identifiable pathways to be engineered, it is becoming increasingly important to develop complex, ill-defined cellular phenotypes. One approach is to screen genomic or metagenomic libraries to identify genes imparting desirable phenotypes, such as tolerance to stressors or novel catabolic programs. Such libraries are limited by their inability to identify interactions among distant genetic loci. To solve this problem, we constructed plasmid- and fosmid-based Escherichia coli Coexisting/Coexpressing Genomic Libraries (CoGeLs). As a proof of principle, four sets of two genes of the l-lysine biosynthesis pathway distantly located on the E. coli chromosome were knocked out. Upon transformation of these auxotrophs with CoGeLs, cells growing without supplementation were found to harbor library inserts containing the knocked-out genes demonstrating the interaction between the two libraries. CoGeLs were also screened to identify genetic loci that work synergistically to create the considerably more complex acid-tolerance phenotype. CoGeL screening identified combination of genes known to enhance acid tolerance (gadBC operon and adiC), but also identified the novel combination of arcZ and recA that greatly enhanced acid tolerance by 9000-fold. arcZ is a small RNA that we show increases pH tolerance alone and together with recA.

A comparative view of metabolite and substrate stress and tolerance in microbial bioprocessing: From biofuels and chemicals, to biocatalysis and bioremediation.

Metabolites, substrates and substrate impurities may be toxic to cells by damaging biological molecules, organelles, membranes or disrupting biological processes. Chemical stress is routinely encountered in bioprocessing to produce chemicals or fuels from renewable substrates, in whole-cell biocatalysis and bioremediation. Cells respond, adapt and may develop tolerance to chemicals by mechanisms only partially explored, especially for multiple simultaneous stresses. More is known about how cells respond to chemicals, but less about how to develop tolerant strains. Aiming to stimulate new metabolic engineering and synthetic-biology approaches for tolerant-strain development, this review takes a holistic, comparative and modular approach in bringing together the large literature on genes, programs, mechanisms, processes and molecules involved in chemical stress or imparting tolerance. These include stress proteins and transcription factors, efflux pumps, altered membrane composition, stress-adapted energy metabolism, chemical detoxification, and accumulation of small-molecule chaperons and compatible solutes. The modular organization (by chemicals, mechanism, organism, and methods used) imparts flexibility in exploring this complex literature, while comparative analyses point to hidden commonalities, such as an oxidative stress response underlying some solvent and carboxylic-acid stress. Successes involving one or a few genes, as well as global genomic approaches are reviewed with an eye to future developments that would engage novel genomic and systems-biology tools to create altered or semi-synthetic strains with superior tolerance characteristics for bioprocessing.