DNA spontaneous mutation and its role in the evolution of GC-content: assessing the impact of the genetic sequence

2015 ◽  
Vol 17 (12) ◽  
pp. 7754-7760 ◽  
Author(s):  
José P. Cerón-Carrasco ◽  
Denis Jacquemin
Keyword(s):  
Dna Sequence ◽  
Base Pair ◽  
Spontaneous Mutation ◽  
Gc Content ◽  
Genetic Sequence ◽  
The Impact

We use theoretical tools to investigate the possible role played by a DNA sequence in the base pair tautomerization phenomena.

DNA sequence analysis of spontaneous mutations in the SUP4-o gene of Saccharomyces cerevisiae

1988 ◽  
Vol 8 (2) ◽  
pp. 978-981
Author(s):  
C N Giroux ◽  
J R Mis ◽  
M K Pierce ◽  
S E Kohalmi ◽  
B A Kunz
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Sequence Analysis ◽  
Transposable Elements ◽  
Dna Sequencing ◽  
Dna Sequence ◽  
Base Pair ◽  
Dna Sequence Analysis ◽  
Spontaneous Mutations ◽  
Yeast Saccharomyces Cerevisiae ◽  
Spontaneous Mutagenesis

A collection of 196 spontaneous mutations in the SUP4-o gene of the yeast Saccharomyces cerevisiae was analyzed by DNA sequencing. The classes of mutation identified included all possible types of base-pair substitution, deletions of various lengths, complex alterations involving multiple changes, and insertions of transposable elements. Our findings demonstrate that at least several different mechanisms are responsible for spontaneous mutagenesis in S. cerevisiae.

Repetitive Dictyostelium heat-shock promotor functions in Saccharomyces cerevisiae

1984 ◽  
Vol 4 (4) ◽  
pp. 591-598
Author(s):  
J Cappello ◽  
C Zuker ◽  
H F Lodish
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Heat Shock ◽  
Nucleotide Sequence ◽  
Dna Sequence ◽  
Base Pair ◽  
Shock Treatment ◽  
Yeast Cells ◽  
Genomic Segment ◽  
Heat Shock Treatment ◽  
Shock Response

The Dictyostelium genome contains 40 copies of a 4.7-kilobase repetitive and apparently transposable DNA sequence (DIRS-1) and about 250 smaller elements that appear to be deletions or rearrangements of DIRS-1. Transcripts of these sequences are induced during differentiation and also by heat shock treatment of growing cells. We showed that one such cloned element, pB41.6 (2.5 kilobases) contains a nucleotide sequence identical to the Drosophila consensus heat shock promotor. To test whether this sequence might indeed control the expression of DIRS-1-related RNAs, we have cloned this genomic segment into yeast cells. In yeast cells, 41.6 directs synthesis of a 1.7-kilobase RNA that is induced at least 10-fold by heat shock. Transcription initiates at about 124 bases 3' of the putative promotor sequence and terminates within the 41.6 insert. A 381-base-pair subclone that contains the putative promotor sequence is sufficient to induce the heat shock response of 41.6 in yeast cells.

scholarly journals A plant DNA-binding protein that recognizes 5-methylcytosine residues.

1989 ◽  
Vol 9 (3) ◽  
pp. 1351-1356 ◽  
Author(s):  
D L Zhang ◽  
K C Ehrlich ◽  
P C Supakar ◽  
M Ehrlich
Keyword(s):  
Dna Binding ◽  
Dna Sequence ◽  
Base Pair ◽  
Binding Protein ◽  
Dna Binding Protein ◽  
Sequence Specificity ◽  
Dna Sequence Specificity ◽  
Plant Dna ◽  
Related Family ◽  
Nuclear Extracts

A novel, 5-methylcytosine-specific, DNA-binding protein, DBP-m, has been identified in nuclear extracts of peas. DBP-m specifically recognizes 5-methylcytosine residues in DNA without appreciable DNA sequence specificity, unlike a mammalian DNA-binding protein (MDBP), which recognizes 5-methylcytosine residues but only in a related family of 14-base-pair sequences.

scholarly journals Supercoiling DNA locates mismatches

2017 ◽  
Author(s):  
Andrew Dittmore ◽  
Sumitabha Brahmachari ◽  
Yasuhara Takagi ◽  
John F. Marko ◽  
Keir C. Neuman
Keyword(s):  
Dna Sequence ◽  
Base Pair ◽  
Dna Supercoiling ◽  
Magnetic Tweezers ◽  
Relative Probability ◽  
Base Pairs ◽  
Damage Sensing ◽  
Mismatched Base Pair ◽  
Monovalent Salt

We present a method of detecting sequence defects by supercoiling DNA with magnetic tweezers. The method is sensitive to a single mismatched base pair in a DNA sequence of several thousand base pairs. We systematically compare DNA molecules with 0 to 16 adjacent mismatches at 1 M monovalent salt and 3.5 pN force and show that, under these conditions, a single plectoneme forms and is stably pinned at the defect. We use these measurements to estimate the energy and degree of end-loop kinking at defects. From this, we calculate the relative probability of plectoneme pinning at the mismatch under physiologically relevant conditions. Based on this estimate, we propose that DNA supercoiling could contribute to mismatch and damage sensing in vivo.

scholarly journals Repetitive Dictyostelium heat-shock promotor functions in Saccharomyces cerevisiae.

1984 ◽  
Vol 4 (4) ◽  
pp. 591-598 ◽  
Author(s):  
J Cappello ◽  
C Zuker ◽  
H F Lodish
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Heat Shock ◽  
Nucleotide Sequence ◽  
Dna Sequence ◽  
Base Pair ◽  
Shock Treatment ◽  
Yeast Cells ◽  
Genomic Segment ◽  
Heat Shock Treatment ◽  
Shock Response

The Dictyostelium genome contains 40 copies of a 4.7-kilobase repetitive and apparently transposable DNA sequence (DIRS-1) and about 250 smaller elements that appear to be deletions or rearrangements of DIRS-1. Transcripts of these sequences are induced during differentiation and also by heat shock treatment of growing cells. We showed that one such cloned element, pB41.6 (2.5 kilobases) contains a nucleotide sequence identical to the Drosophila consensus heat shock promotor. To test whether this sequence might indeed control the expression of DIRS-1-related RNAs, we have cloned this genomic segment into yeast cells. In yeast cells, 41.6 directs synthesis of a 1.7-kilobase RNA that is induced at least 10-fold by heat shock. Transcription initiates at about 124 bases 3' of the putative promotor sequence and terminates within the 41.6 insert. A 381-base-pair subclone that contains the putative promotor sequence is sufficient to induce the heat shock response of 41.6 in yeast cells.

DNA Sequence Analysis of Spontaneous Mutagenesis in Saccharomyces cerevisiae

Genetics ◽  
1998 ◽  
Vol 148 (4) ◽  
pp. 1491-1505 ◽  
Author(s):  
Bernard A Kunz ◽  
Karthikeyan Ramachandran ◽  
Edward J Vonarx
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Sequence Analysis ◽  
Dna Sequencing ◽  
Dna Sequence ◽  
Budding Yeast ◽  
Spontaneous Mutation ◽  
Dna Sequence Analysis ◽  
Mutation Rates ◽  
Yeast Saccharomyces Cerevisiae ◽  
Spontaneous Mutagenesis

AbstractTo help elucidate the mechanisms involved in spontaneous mutagenesis, DNA sequencing has been applied to characterize the types of mutation whose rates are increased or decreased in mutator or antimutator strains, respectively. Increased spontaneous mutation rates point to malfunctions in genes that normally act to reduce spontaneous mutation, whereas decreased rates are associated with defects in genes whose products are necessary for spontaneous mutagenesis. In this article, we survey and discuss the mutational specificities conferred by mutator and antimutator genes in the budding yeast Saccharomyces cerevisiae. The implications of selected aspects of the data are considered with respect to the mechanisms of spontaneous mutagenesis.

Machine Learning of Synthetic Biological Sequences for Designer Attribution

2019 ◽  
Author(s):  
Craig Howser ◽  
Claire Marie Filone ◽  
Jessica S Dymond ◽  
Brant Chee ◽  
Joseph Downs ◽  
...  
Keyword(s):  
Machine Learning ◽  
Genome Editing ◽  
Dna Sequence ◽  
Learning Model ◽  
Gene Synthesis ◽  
Biological Sequences ◽  
Genetic Sequence ◽  
Design And Optimization ◽  
Machine Learning Model ◽  
Design Software

Advances in genome editing and gene synthesis technologies have increased the ease with which biological agents can be engineered. Existing methods to identify the engineering source are insufficient for attribution. We hypothesized that strategies used for DNA design and optimization could act as identifiable fingerprints of design software or particular vendors, making engineered agents more attributable to their source. To test this hypothesis, sequences optimized using various gene synthesis vendors were characterized using a machine learning model. By capturing optimization signatures unique to each vendor, the trained model showed an ability to identify a sequences origin with an accuracy up to 92%, indicating it is possible to distinguish the algorithm utilized to optimize a genetic sequence based on the DNA sequence output alone.

Recognition and initiation site for four late promoters of phage T7 is a 22-base pair DNA sequence

Nature ◽  
1979 ◽  
Vol 280 (5717) ◽  
pp. 35-39 ◽  
Author(s):  
Nikos Panayotatos ◽  
Robert D. Wells
Keyword(s):  
Dna Sequence ◽  
Base Pair ◽  
Initiation Site ◽  
Phage T7
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