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Juke S Lolkema

Publications and source records attributed to Juke S Lolkema.

24 records · Page 2Linked to original sources

CcpA-dependent carbon catabolite repression in bacteria.

Carbon catabolite repression (CCR) by transcriptional regulators follows different mechanisms in gram-positive and gram-negative bacteria. In gram-positive bacteria, CcpA-dependent CCR is mediated by phosphorylation of the phosphoenolpyruvate:sugar phosphotransferase system intermediate HPr at a serine residue at the expense of ATP. The reaction is catalyzed by HPr kinase, which is activated by glycolytic intermediates. In this review, the distribution of CcpA-dependent CCR among bacteria is investigated by searching the public databases for homologues of HPr kinase and HPr-like proteins throughout the bacterial kingdom and by analyzing their properties. Homologues of HPr kinase are commonly observed in the phylum Firmicutes but are also found in the phyla Proteobacteria, Fusobacteria, Spirochaetes, and Chlorobi, suggesting that CcpA-dependent CCR is not restricted to gram-positive bacteria. In the alpha and beta subdivisions of the Proteobacteria, the presence of HPr kinase appears to be common, while in the gamma subdivision it is more of an exception. The genes coding for the HPr kinase homologues of the Proteobacteria are in a gene cluster together with an HPr-like protein, termed XPr, suggesting a functional relationship. Moreover, the XPr proteins contain the serine phosphorylation sequence motif. Remarkably, the analysis suggests a possible relation between CcpA-dependent gene regulation and the nitrogen regulation system (Ntr) found in the gamma subdivision of the Proteobacteria. The relation is suggested by the clustering of CCR and Ntr components on the genome of members of the Proteobacteria and by the close phylogenetic relationship between XPr and NPr, the HPr-like protein in the Ntr system. In bacteria in the phylum Proteobacteria that contain HPr kinase and XPr, the latter may be at the center of a complex regulatory network involving both CCR and the Ntr system.

Amino Acid Motifs↗

Composition of the central stalk of the Na+-pumping V-ATPase from Caloramator fervidus.

The Na+-pumping V-ATPase complex of the thermophilic bacterium Caloramator fervidus was purified and dissociated under controlled conditions. The structure of purified V1-ATPase subcomplexes differing in subunit composition was analyzed by electron microscopy and single particle analysis of 50 000 projections. Difference mapping of subcomplex projections revealed the presence and position of two subunits in the central stalk. A density with an elongated shape similar to the gamma subunit of F-ATPases is partly located within V1 and corresponds, most likely, to subunit E. Subunit E is connected to the membrane-bound part V0 via subunit C, a spherical density that is connected to the center of V0. The presence of subunit C makes the central stalk substantially longer in comparison to the F-ATPases, in which the gamma subunit connects directly to F0.

Bacterial Proteins↗

Impact of the Mg(2+)-citrate transporter CitM on heavy metal toxicity in Bacillus subtilis.

Bacillus subtilis possesses a secondary transporter, CitM, that is specific for the complex of citrate and Mg(2+) but is also capable of transporting citrate in complex with the heavy metal ions Zn(2+), Ni(2+) and Co(2+). We report on the impact of CitM activity on the toxicity of Zn(2+), Ni(2+) and Co(2+) in B. subtilis. In a citM deletion mutant or under conditions in which CitM is not expressed, the toxic effects of the metals were reduced by the presence of citrate in the medium. In contrast, the presence of citrate dramatically enhanced toxicity when the Mg(2+)-citrate transporter was present in the membrane. It is demonstrated that the complex of Ni(2+) and citrate is transported into the cell and that the uptake is responsible for the enhanced toxicity. At toxic concentrations of the metal ions, the cultures adapted by developing tolerance against these ions. Tolerant cells isolated by exposure to one of the metal ions remained tolerant after growth in the absence of toxic metal ions and were cross-tolerant against the other two toxic ions. Tolerant strains were shown to contain point mutations in the citM gene, which resulted in premature termination of translation.

Adaptation, Physiological↗

Growth of Bacillus subtilis on citrate and isocitrate is supported by the Mg2+-citrate transporter CitM.

Bacillus subtilis 168 was assayed for its growth on tricarboxylic acid (TCA) cycle intermediates and related compounds as the sole carbon sources. Growth of the organism was supported by citrate, D-isocitrate, succinate, fumarate and L-malate, whereas no growth was observed in the presence of cis-aconitate,2-oxoglutarate, D-malate, oxaloacetate and tricarballylate. Growth of the organism on the tricarboxylates citrate and D-isocitrate required the presence of functional CitM, an Mg(2+)-citrate transporter, whereas its growth on succinate, fumarate and L-malate appeared to be CitM-independent. Interestingly, the naturally occurring enantiomer D-isocitrate was favoured over L-isocitrate by the organism. Like citrate, D-isocitrate was shown to be an inducer of citM expression in B. subtilis. The addition of 1 mM Mg(2+) to the growth medium improved growth of the organism on both citrate and D-isocitrate, suggesting that D-isocitrate was taken up by CitM in complex with divalent metal ions. Subsequently, the ability of CitM to transport D-isocitrate was demonstrated by competition experiments and by heterologous exchange in right-side-out membrane vesicles prepared from E. coli cells expressing citM. None of the other TCA cycle intermediates and related compounds tested were recognized by CitM. Uptake experiments using radioactive (63)Ni(2+) provided direct evidence that D-isocitrate is transported in complex with divalent metal ions.

Bacillus subtilis↗

Sequence and hydropathy profile analysis of two classes of secondary transporters.

A structural class in the MemGen classification of membrane proteins is a set of evolutionary related proteins sharing a similar global fold. A structural class contains both closely related pairs of proteins for which homology is clear from sequence comparison and very distantly related pairs, for which it is not possible to establish homology based on sequence similarity alone. In the latter case the evolutionary link is based on hydropathy profile analysis. Here, we use these evolutionary related sets of proteins to analyze the relationship between E-values in BLAST searches, sequence similarities in multiple sequence alignments and structural similarities in hydropathy profile analyses. Two structural classes of secondary transporters termed ST[3], which includes the Ion Transporter (IT) superfamily and ST[4], which includes the DAACS family (TC# 2.A.23) were extracted from the NCBI protein database. ST[3] contains 2051 unique sequences distributed over 32 families and 59 subfamilies. ST[4] is a smaller class containing 399 unique sequences distributed over 2 families and 7 subfamilies. One subfamily in ST[4] contains a new class of binding protein dependent secondary transporters. Comparison of the averaged hydropathy profiles of the subfamilies in ST[3] and ST[4] revealed that the two classes represent different folds. Divergence of the sequences in ST[4] is much smaller than observed in ST[3], suggesting different constraints on the proteins during evolution. Analysis of the correlation between the evolutionary relationship of pairs of proteins in a class and the BLAST E-value revealed that: (i) the BLAST algorithm is unable to pick up the majority of the links between proteins in structural class ST[3], (ii) "low complexity filtering" and "composition based statistics" improve the specificity, but strongly reduce the sensitivity of BLAST searches for distantly related proteins, indicating that these filters are too stringent for the proteins analyzed, and (iii) the E-value cut-off, which may be used to evaluate evolutionary significance of a hit in a BLAST search is very different for the two structural classes of membrane proteins.

Algorithms↗