Finding genes involved in HA production a Systems Biology Approach

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 484

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شناسه ملی سند علمی:

IBIS07_224

تاریخ نمایه سازی: 29 فروردین 1397

چکیده مقاله:

Hyaluronic acid is a very important and vital polysaccharide. It is very important in the human body and various industries[1]. The study of genes and main proteins in the production pathway of hyaluronic acid through data from biological databases showed multiple alignment of amino acid sequences of hasA, hasB and hasC genes in Streptococcus Pyogenes bacteria with other bacteria producing this substance[2], there is a distinct and repetitive amino acid sequence retained in all bacteria, and in the case of the hasC gene, this sequence contains almost the entire sequence of the amino acid sequence of the hasC gene. Studies have also shown that the functional units of these proteins are exactly within these retained sequences, and these same issues increase the importance of the sequences. The study of the phylogenetic tree of these genes shows that compared to other genes, the hasA gene, as a very important gene, has a more evolutionary distance in the production pathway of hyaluronic acid. In the interaction of HASA, HASB and HASC proteins, it was found that the simultaneous presence of these 3 genes in bacteria is very important. Also, the well-known and accurate relationship between HASA and HASB proteins in bacteria is more than the relationship between HASA and HASC proteins. Using analyzed data can help us produce more hyaluronic acids in laboratory studies and make industrial strains

نویسندگان

M Karaminejad

Department of Bioinformatics, National Institute of Genetic Engineering and Biotechnology, Tehran, ۱۴۹۶۵/۱۶۱, Iran

Z Minuchehr

Department of Bioinformatics, National Institute of Genetic Engineering and Biotechnology, Tehran, ۱۴۹۶۵/۱۶۱, Iran

F Tabandeh

Department of Bioinformatics, National Institute of Genetic Engineering and Biotechnology, Tehran, ۱۴۹۶۵/۱۶۱, Iran

A Karkhane

Department of Bioinformatics, National Institute of Genetic Engineering and Biotechnology, Tehran, ۱۴۹۶۵/۱۶۱, Iran