Dataset Information

Identification, DNA sequence, and distribution of IS981, a new, high-copy-number insertion sequence in lactococci.

ABSTRACT: An insertion in the lactococcal plasmid pGBK17, which inactivated the gene(s) encoding resistance to the prolate-headed phage c2, was cloned, sequenced, and identified as a new lactococcal insertion sequence (IS). IS981 was 1,222 bp in size and contained two open reading frames, one large enough to encode a transposase. IS981 ended in imperfect inverted repeats of 26 of 40 bp and generated a 5-bp direct repeat of target DNA at the site of insertion. IS981 was present on the chromosome of Lactococcus lactis subsp. lactis LM0230 from where it transposed to pGBK17 during transformation. Twenty-three strains of lactococci examined for the presence of IS981 by Southern hybridization showed 4 to 26 copies per genome, with L. lactis subsp. cremoris strains containing the highest number of copies. Comparison of the DNA sequence and the amino acid sequence of the long open reading frame to other known sequences showed that IS981 is related to a family of IS elements that includes IS2, IS3, IS51, IS150, IS600, IS629, IS861, IS904, and ISL1.

SUBMITTER: Polzin KM

PROVIDER: S-EPMC182788 | biostudies-other | 1991 Mar

REPOSITORIES: biostudies-other

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Identification, DNA sequence, and distribution of IS981, a new, high-copy-number insertion sequence in lactococci.

Polzin K M KM McKay L L LL

Applied and environmental microbiology 19910301 3

An insertion in the lactococcal plasmid pGBK17, which inactivated the gene(s) encoding resistance to the prolate-headed phage c2, was cloned, sequenced, and identified as a new lactococcal insertion sequence (IS). IS981 was 1,222 bp in size and contained two open reading frames, one large enough to encode a transposase. IS981 ended in imperfect inverted repeats of 26 of 40 bp and generated a 5-bp direct repeat of target DNA at the site of insertion. IS981 was present on the chromosome of Lactoco ...[more]

PMID: 1645511

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Project description:BACKGROUND: Some diseases, like tumors, can be related to chromosomal aberrations, leading to changes of DNA copy number. The copy number of an aberrant genome can be represented as a piecewise constant function, since it can exhibit regions of deletions or gains. Instead, in a healthy cell the copy number is two because we inherit one copy of each chromosome from each our parents. Bayesian Piecewise Constant Regression (BPCR) is a Bayesian regression method for data that are noisy observations of a piecewise constant function. The method estimates the unknown segment number, the endpoints of the segments and the value of the segment levels of the underlying piecewise constant function. The Bayesian Regression Curve (BRC) estimates the same data with a smoothing curve. However, in the original formulation, some estimators failed to properly determine the corresponding parameters. For example, the boundary estimator did not take into account the dependency among the boundaries and succeeded in estimating more than one breakpoint at the same position, losing segments. RESULTS: We derived an improved version of the BPCR (called mBPCR) and BRC, changing the segment number estimator and the boundary estimator to enhance the fitting procedure. We also proposed an alternative estimator of the variance of the segment levels, which is useful in case of data with high noise. Using artificial data, we compared the original and the modified version of BPCR and BRC with other regression methods, showing that our improved version of BPCR generally outperformed all the others. Similar results were also observed on real data. CONCLUSION: We propose an improved method for DNA copy number estimation, mBPCR, which performed very well compared to previously published algorithms. In particular, mBPCR was more powerful in the detection of the true position of the breakpoints and of small aberrations in very noisy data. Hence, from a biological point of view, our method can be very useful, for example, to find targets of genomic aberrations in clinical cancer samples.

Dataset Information

Identification, DNA sequence, and distribution of IS981, a new, high-copy-number insertion sequence in lactococci.

Publications

Identification, DNA sequence, and distribution of IS981, a new, high-copy-number insertion sequence in lactococci.

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