Expression and functional characterization of peptidoglycan recognition protein-S6 involved in antibacterial responses in the razor clam Sinonovacula constricta.

It has been recognized that peptidoglycan recognition proteins (PGRPs), structurally conserved molecules, play crucial roles in the innate immunity of invertebrate. However, few studies have been taken to explore their potential functions. In this study, a novel PGRP from the razor clam Sinonovacula constrict designated as ScPGRP-S6 was identified and characterized. The open reading frame (ORF) of ScPGRP-S6 was 666 bp in length, encoding a protein of 221 amino acid with a signal peptide (1-30) and a typical PGRP domain (39-187). The sequence alignment combined with phylogenetic analysis collectively confirmed that ScPGRP-S6 was a novel member belonging to PGRP-S family. The mRNA transcript of ScPGRP-S6 in the hepatopancreases was significantly up-regulated after peptidoglycan (PGN) stimulation, while it was moderately up-regulated after lipopolysaccharide (LPS) stimulation. The result of immunofluorescence detection demonstrated that the positive signal enhanced obviously after Vibrio parahaemolyticus challenge. Notably, the recombinant protein of ScPGRP-S6 (designed as rScPGRP-S6) exhibited high agglutination activity towards V. parahaemolyticus but weak to Staphylococcus aureus. Furthermore, rScPGRP-S6 showed strong amidase and antibacterial activity in the presence of Zn2+. Collectively, our results manifested that ScPGRP-S6 could act as a scavenger in the innate immune response of S. constricta.

Content-Based Visual Summarization for Image Collections.

With the surge of images in the information era, people demand an effective and accurate way to access meaningful visual information. Accordingly, effective and accurate communication of information has become indispensable. In this article, we propose a content-based approach that automatically generates a clear and informative visual summarization based on design principles and cognitive psychology to represent image collections. We first introduce a novel method to make representative and nonredundant summarizations of image collections, thereby ensuring data cleanliness and emphasizing important information. Then, we propose a tree-based algorithm with a two-step optimization strategy to generate the final layout that operates as follows: (1) an initial layout is created by constructing a tree randomly based on the grouping results of the input image set; (2) the layout is refined through a coarse adjustment in a greedy manner, followed by gradient back propagation drawing on the training procedure of neural networks. We demonstrate the usefulness and effectiveness of our method via extensive experimental results and user studies. Our visual summarization algorithm can precisely and efficiently capture the main content of image collections better than alternative methods or commercial tools.

Animated Construction of Chinese Brush Paintings.

In this paper, we present a method for reconstructing the drawing process of Chinese brush paintings. We demonstrate the possibility of computing an artistically reasonable drawing order from a static brush painting that is consistent with the rules of art. We map the key principles of drawing composition to our computational framework, which first organizes the strokes in three stages and then optimizes stroke ordering with natural evolution strategies. Our system produces reasonable animated constructions of Chinese brush paintings with minimal or no user intervention. We test our algorithm on a range of input paintings with varying degrees of complexity and structure and then evaluate the results via a user study. We discuss the applications of the proposed system to painting instruction, painting animation, and image stylization, especially in the context of art teaching.

Identification and description of the mitochondrial genome of Hemibarbus labeo (Cypriniformes: Cyprinidae).

The total mitochondrial genome of Hemibarbus labeo (Cypriniformes: Cyprinidae) is 16,612 bases in length. It consists of 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes and 2 non-coding regions. The overall nucleotide composition of the H-strand of H. labeo mitochondrial genome is A: 29.82%, G: 17.11%, T: 25.90% and C: 27.17%, respectively, with an A + T-rich feature (55.72%). These results will contribute to the natural resources conservation and species identification of H.labeo.