Identification of anrF gene, a homology of admM of andrimid biosynthetic gene cluster related to the antagonistic activity of Enterobacter cloacae B8

AIM： To identify the gene （s） related to the antagonistic activity of Enterobacter cloacae B8 and to elucidate its antagonistic mechanism. METHODS： Transposon-mediated mutagenesis and tagging method and cassette PCR-based chromosomal walking method were adopted to isolate the mutant strain （s） of B8 that lost the antagonistic activity and to clone DNA fragments around Tn5 insertion site. Sequence compiling and open reading frame （ORF） finding were done with DNAStar program and homologous sequence and conserved domain searches were performed with BlastN or BlastP programs at www.ncbi.nlm.nih.gov. To verify the gene involved in the antagonistic activity, complementation of a full-length clone of the anrFgene to the mutant B8F strain was used. RESULTS： A 3 321 bp contig around the Tn5 insertion site was obtained and an ORF of 2 634 bp in length designated as anrFgene encoding for a 877 aa polyketide synthase-like protein was identified. It had a homology of 83% at the nucleotide level and 79% ID/87% SIM at the protein level, to the admM gene of Pantoea agglomerans andrimid biosynthetic gene cluster （AY192157）. The Tn5 was inserted at 2 420 bp of the gene corresponding to the COG3319 （the thioesterase domain of type I polyketide synthase） coding region on BSF. The antagonistic activity against Xanthomonas oryzae pv. oryzae was resumed with complementation of the full-length anrFgene to the mutant B8F. CONCLUSION： The anrFgene obtained is related to the antagonistic activity of BS, and the antagonistic substances produced by B8 are andrimid and/or its analogs.

RFES: a real-time fire evacuation system for Mobile Web3D

There are many bottlenecks that limit the computing power of the Mobile Web3 D and they need to be solved before implementing a public fire evacuation system on this platform.In this study,we focus on three key problems:(1)The scene data for large-scale building information modeling(BIM)are huge,so it is difficult to transmit the data via the Internet and visualize them on the Web;(2)The raw fire dynamic simulator(FDS)smoke diffusion data are also very large,so it is extremely difficult to transmit the data via the Internet and visualize them on the Web;(3)A smart artificial intelligence fire evacuation app for the public should be accurate and real-time.To address these problems,the following solutions are proposed:(1)The large-scale scene model is made lightweight;(2)The amount of dynamic smoke is also made lightweight;(3)The dynamic obstacle maps established from the scene model and smoke data are used for optimal path planning using a heuristic method.We propose a real-time fire evacuation system based on the ant colony optimization(RFES-ACO)algorithm with reused dynamic pheromones.Simulation results show that the public could use Mobile Web3 D devices to experience fire evacuation drills in real time smoothly.The real-time fire evacuation system(RFES)is efficient and the evacuation rate is better than those of the other two algorithms,i.e.,the leader-follower fire evacuation algorithm and the random fire evacuation algorithm.

Lasiopodomys fuscus as an important intermediate host for Echinococcus multilocularis:isolation and phylogenetic identification of the parasite

Background:Echinococcus multilocularis causes alveolar echinococcosis(AE)and is widely prevalent in Qinghai Province,China,where a number of different species have been identified as hosts.However,limited information is available on the Qinghai vole(Lasiopodomys fuscus),which is hyper endemic to Qinghai Province and may represent a potential intermediate host of E.multilocularis.Thus,L.fuscus could contribute to the endemicity of AE in the area.Methods:Fifty Qinghai voles were captured from Jigzhi County in Qinghai Province for the clinical identification of E.multilocularis infection via anatomical examination.Hydatid fluid was collected from vesicles of the livers in suspected voles and subjected to a microscopic examination and PCR assay based on the barcoding gene of cox 1.PCR-amplified segments were sequenced for a phylogenetic analysis.E.multilocularis-infected Qinghai voles were morphologically identified and subjected to a phylogenetic analysis to confirm their identities.Results:Seventeen of the 50 Qinghai voles had E.multilocularis-infection-like vesicles in their livers.Eleven out of the 17 Qinghai voles presented E.multilocularis infection,which was detected by PCR and sequencing.The phylogenetic analysis showed that all 11 positive samples belonged to the E.multilocularis Asian genotype.A morphological identification and phylogenetic analysis of the E.multilocularis-infected Qinghai voles confirmed that all captured animals were L.fuscus.Conclusions:L.fuscus can be infected with E.multilocularis and plays a potential role in the life cycle and epidemiology of E.multilocularis in the Qinghai-Tibetan Plateau of China.