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Keasling, J. D.

Publications and source records attributed to Keasling, J. D..

3 recordsLinked to original sources

Massively parallel fitness profiling reveals multiple novel enzymes in Pseudomonas putida lysine metabolism

The lysine metabolism of Pseudomonas putida can produce multiple important commodity chemicals and is implicated in rhizosphere colonization. However, despite intensive study, the biochemical and genetic links between lysine metabolism and central metabolism remain unresolved in P. putida. Here, we leverage Random Barcode Transposon Sequencing (RB-TnSeq), a genome-wide assay measuring the fitness of thousands of genes in parallel, to identify multiple novel enzymes in both L- and D-lysine metabolism. We first describe three pathway enzymes that catabolize 2-aminoadipate (2AA) to 2-ketoglutarate (2KG) connecting D-lysine to the TCA cycle. One of these enzymes, PP_5260, contains a DUF1338 domain, a family without a previously described biological function. We demonstrate PP_5260 converts 2-oxoadipate (2OA) to 2-hydroxyglutarate (2HG), a novel biochemical reaction. We expand on recent work showing that the glutarate hydroxylase, CsiD, can co-utilize both 2OA and 2KG as a co-substrate in the hydroxylation of glutarate. Finally we demonstrate that the cellular abundance of D- and L-lysine pathway proteins are highly sensitive to pathway specific substrates. This work demonstrates the utility of RB-TnSeq for discovering novel metabolic pathways in even well-studied bacteria.\n\nImportanceO_LIP. putida is an attractive host for metabolic engineering as its lysine metabolism can be utilized for the production of multiple important commodity chemicals.\nC_LIO_LIWe demonstrate the first biochemical evidence of a bacterial 2OA catabolic pathway to central metabolites.\nC_LIO_LIDUF1338 proteins are widely dispersed across many kingdoms of life. Here we demonstrate the first biochemical evidence of function for a member of this protein family.\nC_LI

microbiology

Hopanoid composition mediates bacterial ethanol tolerance

Hopanoids are abundant membrane lipids found in diverse bacterial lineages, but their physiological roles are not well understood. The ethanol fermenter Zymomonas mobilis features the highest measured concentration of hopanoids, leading to the hypothesis that these lipids can protect against bacterial solvent toxicity. However, the lack of genetic tools for manipulating hopanoid composition in vivo has limited their further functional analysis. Because of polyploidy (> 50 genome copies per cell), we found that disruptions of essential hopanoid biosynthesis (hpn) genes in Z. mobilis act as genetic knockdowns, reliably modulating the abundance of different hopanoid species. Using a set of hpn transposon mutants, we demonstrate that both reduced hopanoid content and modified hopanoid head group composition mediate growth and survival in ethanol. In contrast, the amount of hopanoids, but not their polar group composition, contributes to fitness at low pH. Spectroscopic analysis of model membranes showed that hopanoids protect against several ethanol-driven phase transitions in membrane structure, including lipid interdigitation and bilayer dissolution. We propose that hopanoids act through a combination of hydrophobic and inter-lipid hydrogen bonding interactions to stabilize bacterial membranes against solvent stress.\n\nGraphical abstract\n\nO_FIG O_LINKSMALLFIG WIDTH=196 HEIGHT=200 SRC=\"FIGDIR/small/443473v2_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (57K):\norg.highwire.dtl.DTLVardef@119f9adorg.highwire.dtl.DTLVardef@5701bcorg.highwire.dtl.DTLVardef@330bfaorg.highwire.dtl.DTLVardef@1574d44_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology

An orthogonal and pH-tunable sensor-selector for muconic acid biosynthesis in yeast

Microbes offer enormous potential for production of industrially relevant chemicals and therapeutics, yet the rapid identification of high-producing microbes from large genetic libraries is a major bottleneck in modern cell factory development. Here, we develop and apply a synthetic selection system in Saccharomyces cerevisiae that couples the concentration of muconic acid, a plastic precursor, to cell fitness by using the prokaryotic transcriptional regulator BenM driving an antibiotic resistance gene. We show the sensor-selector does not affect production, and find that tuning pH of the cultivation medium limits the rise of non-producing cheaters. We apply the sensor-selector to selectively enrich for best-producing variants out of a large library of muconic acid production strains, and identify an isolate that produced more than 2 g/L muconic acid in a bioreactor. We expect that this sensor-selector can aid the development of other synthetic selection systems based on allosteric transcription factors.

synthetic biology