SUMMARY The advent of heme during evolution allowed organisms possessing this compound to safely and efficiently carry out a variety of chemical reactions that otherwise were difficult or impossible. While it was long assumed that a single heme biosynthetic pathway existed in nature, over the past decade, it has become clear that there are three distinct pathways among prokaryotes, although all three pathways utilize a common initial core of three enzymes to produce the intermediate uroporphyrinogen III. The most ancient pathway and the only one found in the Archaea converts siroheme to protoheme via an oxygen-independent four-enzyme-step process. Bacteria utilize the initial core pathway but then add one additional common step to produce coproporphyrinogen III. Following this step, Gram-positive organisms oxidize coproporphyrinogen III to coproporphyrin III, insert iron to make coproheme, and finally decarboxylate coproheme to protoheme, whereas Gram-negative bacteria first decarboxylate coproporphyrinogen III to protoporphyrinogen IX and then oxidize this to protoporphyrin IX prior to metal insertion to make protoheme. In order to adapt to oxygen-deficient conditions, two steps in the bacterial pathways have multiple forms to accommodate oxidative reactions in an anaerobic environment. The regulation of these pathways reflects the diversity of bacterial metabolism. This diversity, along with the late recognition that three pathways exist, has significantly slowed advances in this field such that no single organism's heme synthesis pathway regulation is currently completely characterized.

No abstract

SummaryThe anaerobic metabolism of the opportunistic pathogen Pseudomonas aeruginosa is important for growth and biofilm formation during persistent infections. The two Fnr-type transcription factors Anr and Dnr regulate different parts of the underlying network in response to oxygen tension and NO. Little is known about all members of the Anr and Dnr regulons and the mediated immediate response to oxygen depletion. Comprehensive transcriptome and bioinformatics analyses in combination with a limited proteome analyses were used for the investigation of the P. aeruginosa response to an immediate oxygen depletion and for definition of the corresponding Anr and Dnr regulons. We observed at first the activation of fermentative pathways for immediate energy generation followed by induction of alternative respiratory chains. A solid position weight matrix model was deduced from the experimentally identified Anr boxes and used for identification of 170 putative Anr boxes in potential P. aeruginosa promoter regions. The combination with the experimental data unambiguously identified 130 new members for the Anr and Dnr regulons. The basis for the understanding of two regulons of P. aeruginosa central to biofilm formation and infection is now defined.

The correct attachment of amino acids to their corresponding (cognate) transfer RNA catalysed by aminoacyl-tRNA synthetases is a key factor in ensuring the fidelity of protein biosynthesis. Previous studies have demonstrated that the interaction of Escherichia coli tRNA(Gln) with glutaminyl-tRNA synthetase (GlnRS) provides an excellent system to study this highly specific recognition process, also referred to as 'tRNA identity'. Accurate acylation of tRNA depends mainly on two principles: a set of nucleotides in the tRNA molecule (identity elements) responsible for proper discrimination by aminoacyl-tRNA synthetases and competition between different synthetases for tRNAs. Elements of glutamine identity are located in the anticodon and in the acceptor stem region, including the discriminator base. We report here the production of more than 20 tRNA(2Gln) mutants at positions likely to be involved in tRNA discrimination by the enzyme. Unmodified tRNA, containing the wild-type anticodon and U or G at its 5'-terminus, can be aminocylated by GlnRS with similar kinetic parameters to native tRNA(2Gln). By in vitro aminoacylation the mutant tRNAs showed decreases of up to 3 x 10(5)-fold in the specificity constant (kcat/KM)14 with the major contribution of kcat. Despite these large changes, some of these mutant tRNAs are efficient amber suppressors in vivo. Our results show that strong elements for glutamine identity reside in the anticodon region and in positions 2 and 3 of the acceptor stem, and that the contribution of different identity elements to the overall discrimination varies significantly. We discuss our data in the light of the crystal structure of the GlnRS:tRNA(Gln) complex.

In mass spectrometry-based untargeted metabolomics, rarely more than 30% of the compounds are identified. Without the true identity of these molecules it is impossible to draw conclusions about the biological mechanisms, pathway relationships and provenance of compounds. The only way at present to address this discrepancy is to use in silico fragmentation software to identify unknown compounds by comparing and ranking theoretical MS/MS fragmentations from target structures to experimental tandem mass spectra (MS/MS). We compared the performance of four publicly available in silico fragmentation algorithms (MetFragCL, CFM-ID, MAGMa+ and MS-FINDER) that participated in the 2016 CASMI challenge. We found that optimizing the use of metadata, weighting factors and the manner of combining different tools eventually defined the ultimate outcomes of each method. We comprehensively analysed how outcomes of different tools could be combined and reached a final success rate of 93% for the training data, and 87% for the challenge data, using a combination of MAGMa+, CFM-ID and compound importance information along with MS/MS matching. Matching MS/MS spectra against the MS/MS libraries without using any in silico tool yielded 60% correct hits, showing that the use of in silico methods is still important.Electronic supplementary materialThe online version of this article (doi:10.1186/s13321-017-0219-x) contains supplementary material, which is available to authorized users.