Nutritional quality of the hepatopancreas and gonads of orange portunid mud crab, Scylla olivacea was evaluated for each gender under four treatment of different water velocities (0, 20, 40 and 60 cm s −1 ), in terms of nutrient reserve and nutrient for reproduction. About 56 crabs were used in this study in which fatty acids composition was analysed using gas chromatography mass-spectrometry (GC-MS). For hepatopancreas analysis, monounsaturated fatty acids (MUFAs) were present in the highest fatty acids concentration, followed by polyunsaturated fatty acids (PUFAs) and, saturated fatty acids (SFAs). However, long-chain polyunsaturated fatty acids (LC-PUFAs) were displayed in low concentration in the hepatopancreas. Total fatty acid (TFAs) composition was significantly higher at moderate velocity of 20 cm s −1 compared to other water velocity treatments. For gonad analysis, 20 cm s −1 showed the highest TFA concentration of 93.34 mg g −1 while, the lowest concentration of 3.90 mg g −1 occurred at 0 cm s −1 . There were significant differences in male and female crab’s fatty acids contents of gonads at all flow velocities challenged ( p < 0.05). PUFAs and MUFAs were dominant while, SFAs were observed at low concentration. This study revealed that, concentration of PUFAs increased as gonad maturation increased. The decreasing concentration of hepatopancreas fatty acids over the culture period indicated that nutrient was shifted from the hepatopancreas, to be used as energy reserved to gonads for further growth of eggs and offspring. The linkages between water flow strength, hepatopancreas, and gonad fatty acids concentrations, is fundamental knowledge useful in establishing efficient habitat velocities selection which will improve aquaculture production of mud crabs with high quality broodstock.

 Development of DNA sequence comparison technique is an active research activity in computational biology application.Commonly techniques studied are dynamic programming and heuristic algorithms. Exhaustive dynamic programming algorithm produces optimal result but requires longer time and bigger space. Heuristic algorithm gives approximate results with much faster processing. We have developed a new model that improves the speed of large scale DNA sequence similarity search and at the same time the best possible alignment result is retained. The model is known as a guided dynamic programming approach for DNA sequence similarity search (FRA-Search). Two approaches are used to complete the FRA-Search model: an automaton based exact string matching algorithm is employed to skip irrelevant database sequences from being computed for dynamic programming alignment processing and; the rough sets theory has been employed to classify and reduct the dataset. This paper discusses the parallel model for FRA-Search application. The parallel FRA-Search model is implemented on PC-based cluster system. It is developed on a single program multiple data (SPMD) architecture and MPJ Express software is used as a communication interface protocol between processors.

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