Document Type : Research Paper
Authors
1
MSC. Department of fisheries Faculty Of natural, resources University of Tehran, Karaj, Iran
2
Prof., Department of fisheries Faculty Of natural, resources University of Tehran, Karaj, Iran
3
Assistant Prof. Department of fisheries Faculty Of natural, resources University of Tehran, Karaj, Iran
4
Associate Prof. Department of fisheries Faculty Of natural, resources University of Tehran, Karaj, Iran
5
Assistant Prof. The Persian Gulf Marine Biotechnology Research Center, Boushehr University of Medical Sciences, Iran
Abstract
Xenobiotics change the physiological homeostasis including balance between enzymes and lipid
peroxidation in fishes. The present study investigated changes of some physiological responses such as
blood aminotransferase enzyme, glutathione-s-transferase (GST), glutathione reductase (GR) and lipid
peroxidation (LPO) in Liza persicus in northern Persian Gulf (Boushehr province) as biomarkers in
biomonitoring programs. Six stations (Haleh, Nakhle Taghi, Kangan, Gofreh, Solhabad, Shogab) and a
reference site (Bonod) were selected in the Boushehr province.The fish samples had an average length
of 16.21 ± 1.51 cm [mean ± SD] and weight of 44.53 ± 11.79 g. PAHs concentration of coastal
sediment were measured using GC-MS and the biomarker were measured using biochemical and
spectrophotometric method. There was a significant difference between Nakhle Taghi station (The
nearest station to petrochemical complex) and the control site (Bonod). There was no significance
difference in blood alanine aminotransferase (ALT) between the stations. There was a significant
difference in GST among Haleh, Nakhle Taghi, Solhabad, Shogab and the control site (Bonod).
However, there was a significant difference in glutathione reductase activity between the Gofreh
station and the Bonod station. This study indicated that xenobiotics biomarkers in the stations with a
high level of pollution had significant difference with the control site (Bonod). In conclusion, Liza
persicus and the studied biomarkers are potentially suitable for future biomonitoring programs.
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