![]() | Only 14 pages are availabe for public view |
Abstract Genetic data have become increasingly more important for conserving, managing threatened and endangered species (Allendorf and Luikart, 2007). Also, genetic data have been used for identifying species and populations that have reduced genetic diversity that may face a greater risk of extinction (Quattro and Vrijenhoek, 1989 and Saccheri et al., 1998). In addition, genetic data can also be used to infer the number of populations or evolutionary groups present (Waples, 1995; Parker et al., 1999; Spruell et al., 2003; Waples and Gaggiotti, 2006; Currens et al., 2009 and Ardren et al., 2010), information that can be useful in defining management and recovery units. Recently genetic data have been used to address more complex conservation issues including the estimation of effective population size (Peterson and Ardren, 2009 and Small et al., 2009).Molecular techniques have been used as a tool for population structure studies by analyzing dispersal, colonization patterns and gene flow between populations over a variety of geographic scales, however a need for expanding the array of molecular tools available in the context of population genetics. Inferences made from datasets may be influenced by the use of different molecular techniques as for example, allozymes evolve at a slower rate than mitochondrial DNA (which is maternally inherited) and nuclear DNA such as microsatellites (Duran et al., 2004)In the fact, many molecular methods are available for studying various aspects of wild populations, captive brood stocks and interactions between wild and cultured stocks of fish, they are basically categorized undertwo types of markers; protein and DNA. Most of the molecular markers have been used in inter- and intraspecific variations. One of these markers is intersimple sequence repeat (ISSR) markers. (Zietkiewicz et al., 1994 and Okumuş and Çiftci, 2003).The ISSR (Inter-simple-sequence-repeat) method has been added to the growing list of molecular tools. In addition, variable ISSR patterns have potentials as dominant markers for studying genetic diversity of many fishes. ISSR technique was used because it is simple and reliable tool for assessing the molecular genetic variability within and among many living organisms with highly reproducible results and abundant polymorphism (Ratnaparkhe et al., 1998; Tong et al., 2005; Kol and Lazebnyĭ, 2006 and Kramer et al., 2007).Protein plays an important role in the metabolism and regulation of water balance. It is the basic building nutrient of any growing animal and also play crucial roles in the maintenance of life. Proteins perform the vast majority of the biochemistry required by living organisms. (Usydus et al., 2009 and Uversky and Dunker, 2010). Protein is a translated phenotypic expression of a genetic code and the variations in the genome usually result in change in the structure of proteins (Bye and Ponnaiah, 1983).Electrophoresis is analysis of biochemical systematics in various taxa. Each species is identified for the number of species-specific proteins by means of high-resolution starch or polyacrylamide and isoelectric focusing (Ferguson, 1974 and Basaglia and Marchetti, 1990). According to (Mc.Laughlin et al., 1982) the molecular mobility of proteins in an electric field depends on their molecular weight, conformation and surface electric charge.Wasim, et al., 2007 and Habib and Samah, 2013 reported that fish are considered as an important source of a cheaper and high quality animal protein, but according to (Saravanan et al., 2011) fish are used as excellent indicator of certain aquatic pollution due to their high sensitivity to environmental contaminants which may damage certain physiological and biochemical processes when contact with the organs of fishesThis study was carried to reveal the effect of phosphate and the petroleum oil on the genetic and biochemical structure of three different species of Red Sea fishes (Lethrinus borbonicus, Siganus rivulatus and Mulloidichthys flavolineatus) which belonged to three different families Lethrinidae, Siganidae and Mullidae respectively, order: Perciformes, class: Actinopterygii. |