Identification of the best algorithm for horizontal genes study on antibiotic resistance genes in Escherichia coli

سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 318

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شناسه ملی سند علمی:

CIGS15_340

تاریخ نمایه سازی: 13 بهمن 1398

چکیده مقاله:

Horizontal gene transfer (HGT) is the most important factor in order to make evolution in prokaryotes, main environmental adaptation, and same bacteria resistant mechanism. There are many algorithms from tools for identification of horizontally transferred genes and genomic islands on the bacteria. The SeqWord Genome Browser (SWGB) based on Oligo-nucleotide usage (OU) statistics to visualize which investigated for sequences of different lengths are comparable provided. The 40 genes sequences, related to antibiotic resistance genes in Escherichia coli in the NCBI database, were analyzed by the following statistical parameters: D for distance two same type, PS for distance two direct and reverse strands of the same DNA sequence; RV and GRV usage variances normalized locally and globally, and reduced to the OU variance expected for a randomly generated sequence, GC-content (GC) and GC-skew (GCS) in DNA. We fund that n1_4mer: RV for the X axis, n1_4mer: GRV for the Y axis and n0_4mer: D for the Z axis is the best program in order to antibiotic resistance genes transfer illusion in the SWGB software. On the dot-plot diagram, each gene is represented by a dot with X and Y parameters chosen from X and Y drop-down lists, respectively.

نویسندگان

Saeedeh Ghiasvand

Assistant professor, Department of Biology, Faculty of Science,Malayer university ,Malayer, Iran

Akbar vaseghi

SAGENE biotechnology company, science and technology park, Ardabil, Iran