Akademik Veri Yönetim Sistemi
SU URUNLERI DERGISI, cilt.40, sa.4, ss.266-275, 2023 (ESCI)
Bioinformatics has revolutionized the way we study gene expression and regulation, enabling researchers to analyze large-scale genomic data with unprecedented speed and precision. In this study, we use bioinformatics tools and methods to compare mRNA transcription of glutathione Stransferase (gstr) gene in two different fish species: common carp and brown trout. In this study, liver, intestine, muscle, brain, heart, eye, spleen, gill, kidney, stomach, ovary and testis samples were taken from male and female brown trout and common carp, and total RNA was isolated from each tissue to synthesize cDNA from these tissues. Then, the transcript amounts of the gstr gene were determined by qPCR from all tissue samples. Gene structures, conserved gene synteny design, phyogenetic tree analyzes and similarity-identity ratios with other vertebrates were determined. When the transcriptional differences between male and female tissues for the brown trout gstr gene were examined, it was seen that the intestine, gill, kidney, stomach, muscle and gonads were significantly higher in male fish (p<0.05), but the differences between other tissues were not statistically significant. It has been determined that the highest gene expression was liver (p<0.05) and brain, eye, spleen, kidney, heart and spleen tissues have significantly lower gstr gene expression than other tissues in both male and female in common carp. In addition, the in-silico analysis determined that the brown trout gstr gene shared the highest similarity and identity ratio with rainbow trout, and the common carp gstr gene shared the highest similarity and identity ratio with goldfish.