Production and Characterization of Iturinic Lipopeptides as Antifungal Agents and Biosurfactants Produced by a Marine Pinctada martensii-Derived Bacillus mojavensis B0621A

Bacillus mojavensis B0621A was isolated from a pearl oyster Pinctada martensii collected from South China Sea. While screening for cyclic lipopeptides potentially useful as lead compounds for biological control against soil-bone fungal plant pathogens, three lipopeptides were isolated and purified from the fermentation broth of B. mojavensis B0621A via vacuum flash chromatography coupled with reversed-phase high performance liquid chromatography (RP-HPLC). The structural characterization and identification of these cyclic lipopeptides were performed by tandem mass spectrometry (MS/MS) combined with gas chromatography-mass spectrometry (GC-MS) analysis as well as chemical degradation. These lipopeptides were finally characterized as homologues of mojavensins, which contained identical amino acids back bones of asparagine₁, tyrosine₂, asparagine₃, glutamine₄, proline₅, asparagine₆, and asparagine₇ and differed from each other by their saturated β-amino fatty acid chain residues, namely, iso-C14 mojavensin, iso-C16 mojavensin, and anteiso-C17 mojavensin, respectively. All lipopeptide isomers, especially iso-C16 mojavensin and anteiso-C17 mojavensin, displayed moderate antagonism and dose-dependent activity against several formae speciales of Fusarium oxysporum and presented surface tension activities. These properties demonstrated that the lipopeptides produced by B. mojavensis B0621A may be useful as biological control agent to fungal plant pathogens.     

A new spatiotemporal chaotic system based on two-dimensional discrete system

Nonlinear Dynamics - Chaos maps are widely used in information security due to some attractive properties, but many low-dimensional chaotic maps have several disadvantages such as small parameter...     

A new cryptosystem based on spatial chaotic system

Encryption of images is different from that of texts due to some intrinsic features of images such as bulk data capacity and high redundancy, which is generally difficult to handle by traditional methods. This paper proposes a new spatial chaos system (SCS), which is investigated by conducting FIPS 140-1 statistic test, and is especially useful for encryption of digital images. It is shown how to adapt a two dimensional (2D) ergodic matrix obtained from SCS to permute the positions of image pixels and confuse the relationship between the cipher image and plain image simultaneously. Experimental results show that the performance and security of the proposed cryptographic system are better than those of existing lower dimensional chaotic cryptographic systems.     

A novel image encryption scheme based on spatial chaos map

In recent years, the chaos-based cryptographic algorithms have suggested some new and efficient ways to develop secure image encryption techniques, but the drawbacks of small key space and weak security in one-dimensional chaotic cryptosystems are obvious. In this paper, spatial chaos system are used for high degree security image encryption while its speed is acceptable. The proposed algorithm is described in detail. The basic idea is to encrypt the image in space with spatial chaos map pixel by pixel, and then the pixels are confused in multiple directions of space. Using this method one cycle, the image becomes indistinguishable in space due to inherent properties of spatial chaotic systems. Several experimental results, key sensitivity tests, key space analysis, and statistical analysis show that the approach for image cryptosystems provides an efficient and secure way for real time image encryption and transmission from the cryptographic viewpoint.