Characterization of incompatibility group HI1 plasmids from Salmonella typhi by restriction endonuclease digestion and hybridization of DNA probes for Tn3, Tn9, and Tn10

1985 ◽  
Vol 31 (8) ◽  
pp. 721-729 ◽  
Author(s):  
Diane E. Taylor ◽  
Elisa C. Brose

Chloramphenicol resistance in Salmonella typhi is mediated by plasmids of the incompatibility group H, subgroup 1 (IncHI1). Eight IncHI1 plasmids from S. typhi strains originating in Mexico, Vietnam, Thailand, and India were examined by restriction enzyme digestion. The restriction enzymes, ApaI, XbaI, and PstI were found to be most useful for comparison of plasmid DNAs. Four plasmids from S. typhi isolated in Mexico, Vietnam, and Thailand between 1972 and 1974 had identical restriction patterns with all three enzymes. The other IncHI1 plasmids showed only minor differences. However, some significant differences were noted between these IncHI1 plasmids and the prototype IncHI1 plasmid R27, which was isolated from S. typhimurium in 1961 and for which a restriction map has been constructed. Southern transfer hybridization with a nick-translated HI1 plasmid as a probe confirmed that there is a great deal of sequence homology among the IncHI1 plasmids. DNA probes were used to locate DNA sequences for ampicillin resistance (Tn3), chloramphenicol resistance (Tn9), tetracycline resistance (Tn10), and the one-way incompatibility between IncHI1 plasmids and the F factor, a characteristic property of IncHI1 plasmids. The results demonstrate that IncHI1 plasmids isolated from S. typhi from widely different geographic sources are very similar. Comparisons between the S. typhi plasmids and R27 indicated that conserved regions of DNA were those involved in conjugative transfer.

2021 ◽  
Vol 9 (12) ◽  
pp. 2505
Author(s):  
Hiroki Hayashi ◽  
Tsutomu Kishi

Epitope tagging is a powerful strategy for analyzing the functions of targeted proteins. The use of this strategy has become more convenient with the development of the epitope switch, which is another type of epitope tagging designed to convert the previously tagged epitopes on the chromosome to other epitopes of interest. Various modules for C-terminal epitope switching have been developed and amplified using the one-step polymerase chain reaction (PCR) method before transformation. However, PCR amplification occasionally generates mutations that affect the fidelity of epitope switching. Here, we constructed several plasmids to isolate modules for epitope switching through digestion by restriction enzymes. The isolated modules contained DNA sequences for homologous recombination, various epitopes (13×Myc, 6×HA, GFP, Venus, YFP, mCherry, and CFP), and a transformation marker (Candida glabrata LEU2). The restriction enzyme-digested plasmids were used to directly transform the cells for epitope switching. We demonstrate the efficient and accurate switching of the MX6 module-based C-terminal tandem affinity purification tags to each aforementioned epitope. We believe that our plasmids can serve as powerful tools for the functional analysis of yeast proteins.


1989 ◽  
Vol 46 (5) ◽  
pp. 877-879 ◽  
Author(s):  
Martha Hennigan ◽  
Laurence M. Vaughan ◽  
Timothy J. Foster ◽  
Peter Smith ◽  
Frank Gannon

Epizootiological studies on Aeromonas salmonicida are important in view of its role as the causative agent of furunculosis. The use of DNA probes to detect restriction fragment length variations promised to provide a new way to distinguish between different strains of the organism. We used four different DNA probes in combination with seven restriction enzymes to compare seven strains of A. salmonicida. Despite the diversity of the geographical origins of the organisms no differences in the patterns of the hybridizing bands were found. This suggests that the DNA sequences of A. salmonicida are very strongly conserved and that the potential for DNA probes to identify different strains may be limited.


2021 ◽  
Vol 22 (S3) ◽  
Author(s):  
Junyi Li ◽  
Huinian Li ◽  
Xiao Ye ◽  
Li Zhang ◽  
Qingzhe Xu ◽  
...  

Abstract Background The prediction of long non-coding RNA (lncRNA) has attracted great attention from researchers, as more and more evidence indicate that various complex human diseases are closely related to lncRNAs. In the era of bio-med big data, in addition to the prediction of lncRNAs by biological experimental methods, many computational methods based on machine learning have been proposed to make better use of the sequence resources of lncRNAs. Results We developed the lncRNA prediction method by integrating information-entropy-based features and machine learning algorithms. We calculate generalized topological entropy and generate 6 novel features for lncRNA sequences. By employing these 6 features and other features such as open reading frame, we apply supporting vector machine, XGBoost and random forest algorithms to distinguish human lncRNAs. We compare our method with the one which has more K-mer features and results show that our method has higher area under the curve up to 99.7905%. Conclusions We develop an accurate and efficient method which has novel information entropy features to analyze and classify lncRNAs. Our method is also extendable for research on the other functional elements in DNA sequences.


2010 ◽  
Vol 08 (02) ◽  
pp. 181-198 ◽  
Author(s):  
RAJIB SENGUPTA ◽  
DHUNDY R. BASTOLA ◽  
HESHAM H. ALI

Restriction Fragment Length Polymorphism (RFLP) is a powerful molecular tool that is extensively used in the molecular fingerprinting and epidemiological studies of microorganisms. In a wet-lab setting, the DNA is cut with one or more restriction enzymes and subjected to gel electrophoresis to obtain signature fragment patterns, which is utilized in the classification and identification of organisms. This wet-lab approach may not be practical when the experimental data set includes a large number of genetic sequences and a wide pool of restriction enzymes to choose from. In this study, we introduce a novel concept of Enzyme Cut Order — a biological property-based characteristic of DNA sequences which can be defined and analyzed computationally without any alignment algorithm. In this alignment-free approach, a similarity matrix is developed based on the pairwise Longest Common Subsequences (LCS) of the Enzyme Cut Orders. The choice of an ideal set of restriction enzymes used for analysis is augmented by using genetic algorithms. The results obtained from this approach using internal transcribed spacer regions of rDNA from fungi as the target sequence show that the phylogenetically-related organisms form a single cluster and successful grouping of phylogenetically close or distant organisms is dependent on the choice of restriction enzymes used in the analysis. Additionally, comparison of trees obtained with this alignment-free and the legacy method revealed highly similar tree topologies. This novel alignment-free method, which utilizes the Enzyme Cut Order and restriction enzyme profile, is a reliable alternative to local or global alignment-based classification and identification of organisms.


2021 ◽  
Author(s):  
Brian P. Anton ◽  
Alexey Fomenkov ◽  
Victoria Wu ◽  
Richard J. Roberts

ABSTRACTSingle-molecule Real-Time (SMRT) sequencing can easily identify sites of N6-methyladenine and N4-methylcytosine within DNA sequences, but similar identification of 5-methylcytosine sites is not as straightforward. In prokaryotic DNA, methylation typically occurs within specific sequence contexts, or motifs, that are a property of the methyltransferases that “write” these epigenetic marks. We present here a straightforward, cost-effective alternative to both SMRT and bisulfite sequencing for the determination of prokaryotic 5-methylcytosine methylation motifs. The method, called MFRE-Seq, relies on excision and isolation of fully methylated fragments of predictable size using MspJI-Family Restriction Enzymes (MFREs), which depend on the presence of 5-methylcytosine for cleavage. We demonstrate that MFRE-Seq is compatible with both Illumina and Ion Torrent sequencing platforms and requires only a digestion step and simple column purification of size-selected digest fragments prior to standard library preparation procedures. We applied MFRE-Seq to numerous bacterial and archaeal genomic DNA preparations and successfully confirmed known motifs and identified novel ones. This method should be a useful complement to existing methodologies for studying prokaryotic methylomes and characterizing the contributing methyltransferases.


PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0247541
Author(s):  
Brian P. Anton ◽  
Alexey Fomenkov ◽  
Victoria Wu ◽  
Richard J. Roberts

Single-molecule Real-Time (SMRT) sequencing can easily identify sites of N6-methyladenine and N4-methylcytosine within DNA sequences, but similar identification of 5-methylcytosine sites is not as straightforward. In prokaryotic DNA, methylation typically occurs within specific sequence contexts, or motifs, that are a property of the methyltransferases that “write” these epigenetic marks. We present here a straightforward, cost-effective alternative to both SMRT and bisulfite sequencing for the determination of prokaryotic 5-methylcytosine methylation motifs. The method, called MFRE-Seq, relies on excision and isolation of fully methylated fragments of predictable size using MspJI-Family Restriction Enzymes (MFREs), which depend on the presence of 5-methylcytosine for cleavage. We demonstrate that MFRE-Seq is compatible with both Illumina and Ion Torrent sequencing platforms and requires only a digestion step and simple column purification of size-selected digest fragments prior to standard library preparation procedures. We applied MFRE-Seq to numerous bacterial and archaeal genomic DNA preparations and successfully confirmed known motifs and identified novel ones. This method should be a useful complement to existing methodologies for studying prokaryotic methylomes and characterizing the contributing methyltransferases.


2018 ◽  
Vol 2 (2) ◽  
pp. 196-208
Author(s):  
Ayad Ismaeel

An important approach of therapy the target gene sequence causes diseases via repair/recombine the mutated gene (gene transfer) using a restriction enzymes in the laboratory. This approach will cause multiple problems happening accompany to biological laboratory if ruled out problems outside of it like the digested DNA ran as a smear on an agarose gel, incomplete restriction enzyme digestion, extra bands in the gel, etc. The paper suggested new approach of therapy via repair/replacement mutated gene caused disease by detecting primers and finding restriction enzymes using bioinformatics tools, software, packages etc. then achieving the repair/ recombine of mutations before going to the biologic lab (out-lab) to avoid the problems associated these laboratories. Implement and apply this a proposed therapy approach on TP53 gene (which caused more than 50% of human cancers) and after confirming there is mutations on P53 tumor protein shows an effective cost, friendly therapy methodology and comprehensive.


MATEMATIKA ◽  
2019 ◽  
Vol 35 (4) ◽  
pp. 1-14
Author(s):  
Wan Heng Fong ◽  
Nurul Izzaty Ismail ◽  
Nor Haniza Sarmin

In DNA splicing system, DNA molecules are cut and recombined with the presence of restriction enzymes and a ligase. The splicing system is analyzed via formal language theory where the molecules resulting from the splicing system generate a language which is called a splicing language. In nature, DNA molecules can be read in two ways; forward and backward. A sequence of string that reads the same forward and backward is known as a palindrome. Palindromic and non-palindromic sequences can also be recognized in restriction enzymes. Research on splicing languages from DNA splicing systems with palindromic and non-palindromic restriction enzymes have been done previously. This research is motivated by the problem of DNA assembly to read millions of long DNA sequences where the concepts of automata and grammars are applied in DNA splicing systems to simplify the assembly in short-read sequences. The splicing languages generated from DNA splicing systems with palindromic and nonpalindromic restriction enzymes are deduced from the grammars which are visualised as automata diagrams, and presented by transition graphs where transition labels represent the language of DNA molecules resulting from the respective DNA splicing systems.


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