Discovery of a Novel l‑Lyxonate Degradation Pathway in <i>Pseudomonas aeruginosa</i> PAO1

The l-lyxonate dehydratase (LyxD) <i>in vitro</i> enzymatic activity and <i>in vivo</i> metabolic function were assigned to members of an isofunctional family within the mandelate racemase (MR) subgroup of the enolase superfamily. This study combined <i>in vitro</i> and <i>in vivo</i> data to confirm that the dehydration of l-lyxonate is the biological role of the members of this family. <i>In vitro</i> kinetic experiments revealed catalytic efficiencies of ∼10⁴ M^–1 s^–1 as previously observed for members of other families in the MR subgroup. Growth studies revealed that l-lyxonate is a carbon source for <i>Pseudomonas aeruginosa</i> PAO1; transcriptomics using qRT-PCR established that the gene encoding LyxD as well as several other conserved proximal genes were upregulated in cells grown on l-lyxonate. The proximal genes were shown to be involved in a pathway for the degradation of l-lyxonate, in which the first step is dehydration by LyxD followed by dehydration of the 2-keto-3-deoxy-l-lyxonate product by 2-keto-3-deoxy-l-lyxonate dehydratase to yield α-ketoglutarate semialdehyde. In the final step, α-ketoglutarate semialdehyde is oxidized by a dehydrogenase to α-ketoglutarate, an intermediate in the citric acid cycle. An X-ray structure for the LyxD from <i>Labrenzia aggregata</i> IAM 12614 with Mg²⁺ in the active site was determined that confirmed the expectation based on sequence alignments that LyxDs possess a conserved catalytic His-Asp dyad at the end of seventh and sixth β-strands of the (β/α)₇β-barrel domain as well as a conserved KxR motif at the end of second β-strand; substitutions for His 316 or Arg 179 inactivated the enzyme. This is the first example of both the LyxD function in the enolase superfamily and a pathway for the catabolism of l-lyxonate

Discovery of Function in the Enolase Superfamily: d‑Mannonate and d‑Gluconate Dehydratases in the d‑Mannonate Dehydratase Subgroup

The continued increase in the size of the protein sequence databases as a result of advances in genome sequencing technology is overwhelming the ability to perform experimental characterization of function. Consequently, functions are assigned to the vast majority of proteins via automated, homology-based methods, with the result that as many as 50% are incorrectly annotated or unannotated (Schnoes et al. PLoS Comput. Biol. 2009, 5 (12), e1000605). This manuscript describes a study of the d-mannonate dehydratase (ManD) subgroup of the enolase superfamily (ENS) to investigate how function diverges as sequence diverges. Previously, one member of the subgroup had been experimentally characterized as ManD [dehydration of d-mannonate to 2-keto-3-deoxy-d-mannonate (equivalently, 2-keto-3-deoxy-d-gluconate)]. In this study, 42 additional members were characterized to sample sequence–function space in the ManD subgroup. These were found to differ in both catalytic efficiency and substrate specificity: (1) high efficiency (<i>k</i>_cat/<i>K</i>_M = 10³ to 10⁴ M^–1 s^–1) for dehydration of d-mannonate, (2) low efficiency (<i>k</i>_cat/<i>K</i>_M = 10¹ to 10² M^–1 s^–1) for dehydration of d-mannonate and/or D-gluconate, and 3) no-activity with either d-mannonate or d-gluconate (or any other acid sugar tested). Thus, the ManD subgroup is not isofunctional and includes d-gluconate dehydratases (GlcDs) that are divergent from the GlcDs that have been characterized in the mandelate racemase subgroup of the ENS (Lamble et al. FEBS Lett. 2004, 576, 133–136) (Ahmed et al. Biochem. J. 2005, 390, 529–540). These observations signal caution for functional assignment based on sequence homology and lay the foundation for the studies of the physiological functions of the GlcDs and the promiscuous ManDs/GlcDs

Experimental Strategies for Functional Annotation and Metabolism Discovery: Targeted Screening of Solute Binding Proteins and Unbiased Panning of Metabolomes

The rate at which genome sequencing data is accruing demands enhanced methods for functional annotation and metabolism discovery. Solute binding proteins (SBPs) facilitate the transport of the first reactant in a metabolic pathway, thereby constraining the regions of chemical space and the chemistries that must be considered for pathway reconstruction. We describe high-throughput protein production and differential scanning fluorimetry platforms, which enabled the screening of 158 SBPs against a 189 component library specifically tailored for this class of proteins. Like all screening efforts, this approach is limited by the practical constraints imposed by construction of the library, i.e., we can study only those metabolites that are known to exist and which can be made in sufficient quantities for experimentation. To move beyond these inherent limitations, we illustrate the promise of crystallographic- and mass spectrometric-based approaches for the unbiased use of entire metabolomes as screening libraries. Together, our approaches identified 40 new SBP ligands, generated experiment-based annotations for 2084 SBPs in 71 isofunctional clusters, and defined numerous metabolic pathways, including novel catabolic pathways for the utilization of ethanolamine as sole nitrogen source and the use of d-Ala-d-Ala as sole carbon source. These efforts begin to define an integrated strategy for realizing the full value of amassing genome sequence data

Experimental Strategies for Functional Annotation and Metabolism Discovery: Targeted Screening of Solute Binding Proteins and Unbiased Panning of Metabolomes

The rate at which genome sequencing data is accruing demands enhanced methods for functional annotation and metabolism discovery. Solute binding proteins (SBPs) facilitate the transport of the first reactant in a metabolic pathway, thereby constraining the regions of chemical space and the chemistries that must be considered for pathway reconstruction. We describe high-throughput protein production and differential scanning fluorimetry platforms, which enabled the screening of 158 SBPs against a 189 component library specifically tailored for this class of proteins. Like all screening efforts, this approach is limited by the practical constraints imposed by construction of the library, i.e., we can study only those metabolites that are known to exist and which can be made in sufficient quantities for experimentation. To move beyond these inherent limitations, we illustrate the promise of crystallographic- and mass spectrometric-based approaches for the unbiased use of entire metabolomes as screening libraries. Together, our approaches identified 40 new SBP ligands, generated experiment-based annotations for 2084 SBPs in 71 isofunctional clusters, and defined numerous metabolic pathways, including novel catabolic pathways for the utilization of ethanolamine as sole nitrogen source and the use of d-Ala-d-Ala as sole carbon source. These efforts begin to define an integrated strategy for realizing the full value of amassing genome sequence data