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To improve the yield of hybrid mandarin fish, RNA‐seq technology is used to further investigate the growth and disease resistance advantages of hybrid mandarin fish and the associated molecular mechanisms. Cluster analysis of the transcriptomes of the three fish groups Siniperca schezeri (S), Siniperca chuatsi (C) and hybrid mandarin fish (H) shows that the gene expression pattern of H is closer to C. We also found that the metabolic pathways in the body of C are the most active. The glycolysis/gluconeogenesis pathway (ko00010) is most typical. This phenomenon is also observed in H, suggesting that both H and C have the advantage of rapid metabolism. When comparing the different genes, we also found that the immune system of S is more active, as evidenced mainly by the significant activation of the ECM‐ receptor interaction (ko04512) and the phagosome signalling pathway (ko04145). This suggests that S induces the immune system to respond more rapidly by increasing the sensitivity of molecules related to the processing of environmental information in the body. To better understand the mechanism of disease resistance of H, we analysed the target genes of differentially expressed miRNAs and found that the Toll receptor signalling pathway (ko04620) and related immune pathways were significantly enriched. This suggests that H enhances the defence capability of the immune system by improving the ability to sensing the environment. This study revealed the growth and disease resistance mechanism of Hyb through mRNA and miRNA and provided a theoretical basis for crossbreeding. [ABSTRACT FROM AUTHOR]

Vibrio vulnificus is an estuarine bacterial pathogen for human. The rapid, specific and sensitive detection of V. vulnificus is urgently needed for early disease diagnosis and timely treatment of V. vulnificus infection. In the study, a loop-mediated isothermal amplification (LAMP) technique was developed for V. vulnificus detection with a set of primers, composed of two out primers and two inner primers targeted to vvhA gene. The optimal amplification temperature was 63°C and the reaction only took 35 min. The amplification products could not only be detected by agarose gel electrophoresis with ladder-like pattern bands, but also could be visualized using calcein with naked eye directly. Forty-five strains were tested for the specificity of LAMP assay, and all the V. vulnificus strains were identified correctly while other strains were negative results. The sensitive of the new LAMP assay was 100-fold more sensitive than the conventional PCR. Meanwhile, all the V. vulnificus strains were detected correctly in spiked, clinical and environmental samples by the new LAMP assay. Compared with other well-known techniques, the new LAMP assay targeted to vvhA gene was extremely rapid, simple, sensitive and specific for V. vulnificus identification. [ABSTRACT FROM AUTHOR]

Abstract: Knowledge of protein secondary structural classes plays an important role in understanding protein folding patterns. In this paper, 25 features based on position-specific scoring matrices are selected to reflect evolutionary information. In combination with other 11 rational features based on predicted protein secondary structure sequences proposed by the previous researchers, a 36-dimensional representation feature vector is presented to predict protein secondary structural classes for low-similarity sequences. ASTRALtraining dataset is used to train and design our method, other three low-similarity datasets ASTRALtest, 25PDB and 1189 are used to test the proposed method. Comparisons with other methods show that our method is effective to predict protein secondary structural classes. Stand alone version of the proposed method (PSSS-PSSM) is written in MATLAB language and it can be downloaded from http://letsgob.com/bioinfo_PSSS_PSSM/. [Copyright &y& Elsevier]

ABSTRACT The ever growing dependence on the Internet makes people keen on accessing the network anytime and anywhere, even while driving cars. Cooperative downloading among vehicles could help the clients obtain more data when running out of access point coverage area. One of the methods is that the access point predicts communication duration between the helper and the client according to the registered speed of vehicles to decide how many packets should be carried by the helper. However, it is possible that cooperative vehicles cannot always transmit all of the carried data to the client due to the changing speed. A key challenge that lies at the heart of this problem is how to increase the packet transmitting rate of cooperative vehicles. Towards the end, this paper proposes a novel compensation model that exploits nodes own regulatory function to mitigate the packet transmission loss. By analysing a real speed dataset collected from a test car with global positioning system running from May 2011 to July 2012 on the No. G15 highway in China, we derive a strong spatiotemporal regularity in vehicle speeds. Impending speed can be predicted, therefore, using Markov chain. On the basis of the aforementioned quantitative prediction, the compensation schemes is presented to increase received data amount by using the characteristics of encountering, overtaking and being overtaken among vehicles. Simulation results indicate the benefits of the proposed model in terms of increasing throughput and reducing delay. Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]