Sequence and Bioinformatics Analysis on MSTN Gene of the Hybrid Grouper Derived from(Epinephelus fuscoguttatus×Epinephelus polyphekadion)

[Objectives]This study aimed to investigate the sequence structure and function of Myostatin(MSTN)gene in the hybrid grouper(Epinephelus fuscoguttatus,♀×Epinephelus polyphekadion,♂).[Methods]Genetic DNA samples were extracted from the caudal fins of the hybrid grouper and its parents to amplify their MSTN genes.Then,MSTN gene sequences were analyzed using bioinformatics tools to predict their protein structures and functions.[Results]The hybrid grouper and its parents shared the same MSTN gene structure,consisting of three exons and two introns.Nucleotide sequence of the gene could be translated into 376 amino acids,including an N-terminal signal peptide,a proteolytic processing site(RXXR motif),and nine conserved cysteine residues at C-terminal,which were the typical features of transforming growth factor beta(TGF-β)superfamily proteins.Alignment of protein sequence showed that MSTN was highly conserved between the hybrid grouper and its parents.Especially,exon 3,an important functional domain,exhibited a sequence similarity of 100%among them.In addition,four variable amino acid residues were detected in exon 2 at positions 141,153,185 and 186 in the hybrid grouper,but they did not affect the secondary structure of the protein.[Conclusion]These results will provide molecular information for future investigation on the growth and heterosis of hybrid grouper species,and on the roles of MSTN gene in regulating the growth traits of the hybrid grouper.

A semantic segmentation-based underwater acoustic image transmission framework for cooperative SLAM

With the development of underwater sonar detection technology,simultaneous localization and mapping(SLAM)approach has attracted much attention in underwater navigation field in recent years.But the weak detection ability of a single vehicle limits the SLAM performance in wide areas.Thereby,cooperative SLAM using multiple vehicles has become an important research direction.The key factor of cooperative SLAM is timely and efficient sonar image transmission among underwater vehicles.However,the limited bandwidth of underwater acoustic channels contradicts a large amount of sonar image data.It is essential to compress the images before transmission.Recently,deep neural networks have great value in image compression by virtue of the powerful learning ability of neural networks,but the existing sonar image compression methods based on neural network usually focus on the pixel-level information without the semantic-level information.In this paper,we propose a novel underwater acoustic transmission scheme called UAT-SSIC that includes semantic segmentation-based sonar image compression(SSIC)framework and the joint source-channel codec,to improve the accuracy of the semantic information of the reconstructed sonar image at the receiver.The SSIC framework consists of Auto-Encoder structure-based sonar image compression network,which is measured by a semantic segmentation network's residual.Considering that sonar images have the characteristics of blurred target edges,the semantic segmentation network used a special dilated convolution neural network(DiCNN)to enhance segmentation accuracy by expanding the range of receptive fields.The joint source-channel codec with unequal error protection is proposed that adjusts the power level of the transmitted data,which deal with sonar image transmission error caused by the serious underwater acoustic channel.Experiment results demonstrate that our method preserves more semantic information,with advantages over existing methods at the same compression ratio.It also improves the error tolerance and packet loss resistance of transmission.

CONTRAST STUDY ON CT AND BA IN DIAGNOSIS OF PATIENTS WITH ATHEROTHROMBOTIC BRAIN INFARCTION

Objectives: To explore applied value on CT and BA in diagnosis of patients with athero-thrombotic brain infarction. Methods :CT and BA were examined in 246 patients with atherothrombotic brain infarction. Results:The different change of CT and BA were showed in 246 patients with atherothrombotic brain infarction. Conclusions: There were separately different advantage and shortcoming in CT and BA in diagnosis of atherothrombotic brain infarction. The value of clinical application of BA was important in diagnosis of atherothrombotic brain infarction.