Bacterial YedK represses plasmid DNA replication and transformation through its DNA single-strand binding activity.

The SOS response-associated peptidase (SRAP) is an ancient protein superfamily in all domains of life. The mammalian SRAP was recently reported to covalently bind to the abasic sites (AP) in single stranded (ss) DNA to shield the chromosome integrity. YedK, the Escherichia coli SRAP, is not functionally characterized. Here we report the fortuitous pull-down of YedK from bacterial cell lysates by short (<20 bp) double stranded (ds) DNAs, further enrichment of YedK was observed when single stranded (ss) DNA was added. YedK can bind multiple DNA substrates, particularly with a high affinity to DNA duplex with single strand segment. As a SRAP protein, the involvement of YedK in SOS response was extensively examined, however yedK mutant of Escherichia coli showed no difference from the wild type strain upon the treatments with UV and various DNA damaging reagents, indicating its non-essentiality or redundancy in E. coli. Surprisingly, yedK mutants derived from Escherichia coli and Samonella enterica both showed an increased plasmid DNA transformation efficiency compared to the wild types. In accordance with this, induction of YedK effectively decreased the copy number of plasmid DNA. Site-directed mutagenesis of YedK demonstrated that residues involved in single strand DNA binding and cysteine residue at position 2 from N-terminus can discharge the repression of the plasmid transformation efficiency.

Whole-Genome-Sequencing characterization of bloodstream infection-causing hypervirulent Klebsiella pneumoniae of capsular serotype K2 and ST374.

Hypervirulent K. pneumoniae variants (hvKP) have been increasingly reported worldwide, causing metastasis of severe infections such as liver abscesses and bacteremia. The capsular serotype K2 hvKP strains show diverse multi-locus sequence types (MLSTs), but with limited genetics and virulence information. In this study, we report a hypermucoviscous K. pneumoniae strain, RJF293, isolated from a human bloodstream sample in a Chinese hospital. It caused a metastatic infection and fatal septic shock in a critical patient. The microbiological features and genetic background were investigated with multiple approaches. The Strain RJF293 was determined to be multilocis sequence type (ST) 374 and serotype K2, displayed a median lethal dose (LD50) of 1.5 × 102 CFU in BALB/c mice and was as virulent as the ST23 K1 serotype hvKP strain NTUH-K2044 in a mouse lethality assay. Whole genome sequencing revealed that the RJF293 genome codes for 32 putative virulence factors and exhibits a unique presence/absence pattern in comparison to the other 105 completely sequenced K. pneumoniae genomes. Whole genome SNP-based phylogenetic analysis revealed that strain RJF293 formed a single clade, distant from those containing either ST66 or ST86 hvKP. Compared to the other sequenced hvKP chromosomes, RJF293 contains several strain-variable regions, including one prophage, one ICEKp1 family integrative and conjugative element and six large genomic islands. The sequencing of the first complete genome of an ST374 K2 hvKP clinical strain should reinforce our understanding of the epidemiology and virulence mechanisms of this bloodstream infection-causing hvKP with clinical significance.

Large-Scale Transposition Mutagenesis of Streptomyces coelicolor Identifies Hundreds of Genes Influencing Antibiotic Biosynthesis.

Gram-positive Streptomyces bacteria produce thousands of bioactive secondary metabolites, including antibiotics. To systematically investigate genes affecting secondary metabolism, we developed a hyperactive transposase-based Tn5 transposition system and employed it to mutagenize the model species Streptomyces coelicolor, leading to the identification of 51,443 transposition insertions. These insertions were distributed randomly along the chromosome except for some preferred regions associated with relatively low GC content in the chromosomal core. The base composition of the insertion site and its flanking sequences compiled from the 51,443 insertions implied a 19-bp expanded target site surrounding the insertion site, with a slight nucleic acid base preference in some positions, suggesting a relative randomness of Tn5 transposition targeting in the high-GC Streptomyces genome. From the mutagenesis library, 724 mutants involving 365 genes had altered levels of production of the tripyrrole antibiotic undecylprodigiosin (RED), including 17 genes in the RED biosynthetic gene cluster. Genetic complementation revealed that most of the insertions (more than two-thirds) were responsible for the changed antibiotic production. Genes associated with branched-chain amino acid biosynthesis, DNA metabolism, and protein modification affected RED production, and genes involved in signaling, stress, and transcriptional regulation were overrepresented. Some insertions caused dramatic changes in RED production, identifying future targets for strain improvement.IMPORTANCE High-GC Gram-positive streptomycetes and related actinomycetes have provided more than 100 clinical drugs used as antibiotics, immunosuppressants, and antitumor drugs. Their genomes harbor biosynthetic genes for many more unknown compounds with potential as future drugs. Here we developed a useful genome-wide mutagenesis tool based on the transposon Tn5 for the study of secondary metabolism and its regulation. Using Streptomyces coelicolor as a model strain, we found that chromosomal insertion was relatively random, except at some hot spots, though there was evidence of a slightly preferred 19-bp target site. We then used prodiginine production as a model to systematically survey genes affecting antibiotic biosynthesis, providing a global view of antibiotic regulation. The analysis revealed 348 genes that modulate antibiotic production, among which more than half act to reduce production. These might be valuable targets in future investigations of regulatory mechanisms, for strain improvement, and for the activation of silent biosynthetic gene clusters.

ThioFinder: a web-based tool for the identification of thiopeptide gene clusters in DNA sequences.

Thiopeptides are a growing class of sulfur-rich, highly modified heterocyclic peptides that are mainly active against Gram-positive bacteria including various drug-resistant pathogens. Recent studies also reveal that many thiopeptides inhibit the proliferation of human cancer cells, further expanding their application potentials for clinical use. Thiopeptide biosynthesis shares a common paradigm, featuring a ribosomally synthesized precursor peptide and conserved posttranslational modifications, to afford a characteristic core system, but differs in tailoring to furnish individual members. Identification of new thiopeptide gene clusters, by taking advantage of increasing information of DNA sequences from bacteria, may facilitate new thiopeptide discovery and enrichment of the unique biosynthetic elements to produce novel drug leads by applying the principle of combinatorial biosynthesis. In this study, we have developed a web-based tool ThioFinder to rapidly identify thiopeptide biosynthetic gene cluster from DNA sequence using a profile Hidden Markov Model approach. Fifty-four new putative thiopeptide biosynthetic gene clusters were found in the sequenced bacterial genomes of previously unknown producing microorganisms. ThioFinder is fully supported by an open-access database ThioBase, which contains the sufficient information of the 99 known thiopeptides regarding the chemical structure, biological activity, producing organism, and biosynthetic gene (cluster) along with the associated genome if available. The ThioFinder website offers researchers a unique resource and great flexibility for sequence analysis of thiopeptide biosynthetic gene clusters. ThioFinder is freely available at http://db-mml.sjtu.edu.cn/ThioFinder/.

Insights into fluorometabolite biosynthesis in Streptomyces cattleya DSM46488 through genome sequence and knockout mutants.

Streptomyces cattleya DSM 46488 is unusual in its ability to biosynthesise fluorine containing natural products, where it can produce fluoroacetate and 4-fluorothreonine. The individual enzymes involved in fluorometabolite biosynthesis have already been demonstrated in in vitro investigations. Candidate genes for the individual biosynthetic steps were located from recent genome sequences. In vivo inactivation of individual genes including those encoding the S-adenosyl-l-methionine:fluoride adenosyltransferase (fluorinase, SCATT_41540), 5'-fluoro-5'-deoxyadenosine phosphorylase (SCATT_41550), fluoroacetyl-CoA thioesterase (SCATT_41470), 5-fluoro-5-deoxyribose-1-phosphate isomerase (SCATT_20080) and a 4-fluorothreonine acetaldehyde transaldolase (SCATT_p11780) confirm that they are essential for fluorometabolite production. Notably gene disruption of the transaldolase (SCATT_p11780) resulted in a mutant which could produce fluoroacetate but was blocked in its ability to biosynthesise 4-fluorothreonine, revealing a branchpoint role for the PLP-transaldolase.

Pathogenicity islands PAPI-1 and PAPI-2 contribute individually and synergistically to the virulence of Pseudomonas aeruginosa strain PA14.

Pseudomonas aeruginosa is a leading cause of hospital-acquired pneumonia and severe chronic lung infections in cystic fibrosis patients. The reference strains PA14 and PAO1 have been studied extensively, revealing that PA14 is more virulent than PAO1 in diverse infection models. Among other factors, this may be due to two pathogenicity islands, PAPI-1 and PAPI-2, both present in PA14 but not in PAO1. We compared the global contributions to virulence of PAPI-1 and PAPI-2, rather than that of individual island-borne genes, using murine models of acute pneumonia and bacteremia. Three isogenic island-minus mutants (PAPI-1-minus, PAPI-2-minus, and PAPI-1-minus, PAPI-2-minus mutants) were compared with the wild-type parent strain PA14 and with PAO1. Our results showed that both islands contributed significantly to the virulence of PA14 in acute pneumonia and bacteremia models. However, in contrast to the results for the bacteremia model, where each island was found to contribute individually, loss of the 108-kb PAPI-1 island alone was insufficient to measurably attenuate the mutant in the acute pneumonia model. Nevertheless, the double mutant was substantially more attenuated, and exhibited a lesser degree of virulence, than even PAO1 in the acute pneumonia model. In particular, its ability to disseminate from the lungs to the bloodstream was markedly inhibited. We conclude that both PAPI-1 and PAPI-2 contribute directly and synergistically in a major way to the virulence of PA14, and we suggest that analysis of island-minus strains may be a more appropriate way than individual gene knockouts to assess the contributions to virulence of large, horizontally acquired segments of DNA.

ATPase genes of diverse multidrug-resistant Acinetobacter baumannii isolates frequently harbour integrated DNA.

OBJECTIVES: The aim of the study was to determine whether ATPase genes of genetically diverse Acinetobacter baumannii isolates are disrupted by potential genomic islands. METHODS: Random amplified polymorphic DNA (RAPD)-PCR, sequence grouping and PFGE were used to investigate the genetic diversity of 50 A. baumannii isolated from various clinical specimens. PCR analysis was then used to identify isolates with a potentially disrupted ATPase gene. Representative genetically distinct isolates were further characterized by PCR mapping and chromosome walking to analyse the flanking regions of the disrupted ATPase genes. RESULTS: Forty-one of the 50 isolates tested appeared to contain a disrupted ATPase gene. Sequence group and PFGE data for 10 ATPase PCR-negative representative isolates confirmed substantial genetic diversity. Seven isolates contained elements with ends showing high levels of sequence similarity to one or both extremities of AbaR1, the first resistance island described in A. baumannii. A further isolate, A25, possessed a highly conserved AbaR1-like 3'-end, but a divergent, though related, 5'-terminus that exhibited near identity with a distinct locus in A. baumannii ATCC 17978. A ninth isolate (A92) possessed a completely novel sequence abutting on its 5'-ATPase remnant. Three isolates appeared to lack 3'-ATPase gene segments, as was the case with the recently sequenced strain ACICU. Thus, 8 of the 10 ATPase-negative isolates investigated in detail had ATPase genes disrupted with AbaR1-like flanking regions. CONCLUSIONS: ATPase genes of diverse A. baumannii isolates are frequently disrupted by insertions matching AbaR1-related flanking sequences. However, the ATPase gene of isolate A92 was disrupted by a DNA sequence distinct from those found in AbaR1.

Prediction of proteinase cleavage sites in polyproteins of coronaviruses and its applications in analyzing SARS-CoV genomes.

Recently, we have developed a coronavirus-specific gene-finding system, ZCURVE_CoV 1.0. In this paper, the system is further improved by taking the prediction of cleavage sites of viral proteinases in polyproteins into account. The cleavage sites of the 3C-like proteinase and papain-like proteinase are highly conserved. Based on the method of traditional positional weight matrix trained by the peptides around cleavage sites, the present method also sufficiently considers the length conservation of non-structural proteins cleaved by the 3C-like proteinase and papain-like proteinase to reduce the false positive prediction rate. The improved system, ZCURVE_CoV 2.0, has been run for each of the 24 completely sequenced coronavirus genomes in GenBank. Consequently, all the non-structural proteins in the 24 genomes are accurately predicted. Compared with known annotations, the performance of the present method is satisfactory. The software ZCURVE_CoV 2.0 is freely available at http://tubic.tju.edu.cn/sars/.

ZCURVE_CoV: a new system to recognize protein coding genes in coronavirus genomes, and its applications in analyzing SARS-CoV genomes.

A new system to recognize protein coding genes in the coronavirus genomes, specially suitable for the SARS-CoV genomes, has been proposed in this paper. Compared with some existing systems, the new program package has the merits of simplicity, high accuracy, reliability, and quickness. The system ZCURVE_CoV has been run for each of the 11 newly sequenced SARS-CoV genomes. Consequently, six genomes not annotated previously have been annotated, and some problems of previous annotations in the remaining five genomes have been pointed out and discussed. In addition to the polyprotein chain ORFs 1a and 1b and the four genes coding for the major structural proteins, spike (S), small envelop (E), membrane (M), and nuleocaspid (N), respectively, ZCURVE_CoV also predicts 5-6 putative proteins in length between 39 and 274 amino acids with unknown functions. Some single nucleotide mutations within these putative coding sequences have been detected and their biological implications are discussed. A web service is provided, by which a user can obtain the annotated result immediately by pasting the SARS-CoV genome sequences into the input window on the web site (http://tubic.tju.edu.cn/sars/). The software ZCURVE_CoV can also be downloaded freely from the web address mentioned above and run in computers under the platforms of Windows or Linux.