Dataset Information

Comparative analysis of the replicon regions of eleven ColE2-related plasmids.

ABSTRACT: The incA gene product of ColE2-P9 and ColE3-CA38 plasmids is an antisense RNA that regulates the production of the plasmid-coded Rep protein essential for replication. The Rep protein specifically binds to the origin and synthesizes a unique primer RNA at the origin. The IncB incompatibility is due to competition for the Rep protein among the origins of the same binding specificity. We localized the regions sufficient for autonomous replication of 15 ColE plasmids related to ColE2-P9 and ColE3-CA38 (ColE2-related plasmids), analyzed their incompatibility properties, and determined the nucleotide sequences of the replicon regions of 9 representative plasmids. The results suggest that all of these plasmids share common mechanisms for initiation of DNA replication and its control. Five IncA specificity types, 4 IncB specificity types, and 9 of the 20 possible combinations of the IncA and IncB types were found. The specificity of interaction of the Rep proteins and the origins might be determined by insertion or deletion of single nucleotides and substitution of several nucleotides at specific sites in the origins and by apparently corresponding insertion or deletion and substitution of amino acid sequences at specific regions in the C-terminal portions of the Rep proteins. For plasmids of four IncA specificity types, the nine-nucleotide sequences at the loop regions of the stem-loop structures of antisense RNAs are identical, suggesting an evolutionary significance of the sequence. The mosaic structures of the replicon regions with homologous and nonhomologous segments suggest that some of them were generated by exchanging functional parts through homologous recombination.

SUBMITTER: Hiraga S

PROVIDER: S-EPMC197111 | biostudies-other | 1994 Dec

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:Screening of household contacts of tuberculosis (TB) patients is a recommended strategy to improve early case detection. While it has been widely implemented in low prevalence countries, the most optimal protocols for contact investigation in high prevalence, low resource settings is yet to be determined. This study evaluated contact investigation interventions in eleven lower and middle income countries and reviewed the association between context or program-related factors and the yield of cases among contacts.We reviewed data from nineteen first wave TB REACH funded projects piloting innovations to improve case detection. These nineteen had fulfilled the eligibility criteria: contact investigation implementation and complete data reporting. We performed a cross-sectional analysis of the percentage yield and case notifications for each project. Implementation strategies were delineated and the association between independent variables and yield was analyzed by fitting a random effects logistic regression.Overall, the nineteen interventions screened 139,052 household contacts, showing great heterogeneity in the percentage yield of microscopy confirmed cases (SS+), ranging from 0.1% to 6.2%). Compared to the most restrictive testing criteria (at least two weeks of cough) the aOR's for lesser (any TB related symptom) and least (all contacts) restrictive testing criteria were 1.71 (95%CI 0.94-3.13) and 6.90 (95% CI 3.42-13.93) respectively. The aOR for inclusion of SS- and extra-pulmonary TB was 0.31 (95% CI 0.15-0.62) compared to restricting index cases to SS+ TB. Contact investigation contributed between <1% and 14% to all SS+ cases diagnosed in the intervention areas.This study confirms that high numbers of active TB cases can be identified through contact investigation in a variety of contexts. However, design and program implementation factors appear to influence the yield of contact investigation and its concomitant contribution to TB case detection.

Dataset Information

Comparative analysis of the replicon regions of eleven ColE2-related plasmids.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets