Dear Editor,African swine fever(ASF)is a severe haemorrhagic fever in domestic pigs and wild boar with extremely high mortality rate.It is cataloged as a notifiable disease by the World Organization for Animal Health(...Dear Editor,African swine fever(ASF)is a severe haemorrhagic fever in domestic pigs and wild boar with extremely high mortality rate.It is cataloged as a notifiable disease by the World Organization for Animal Health(OIE).The etiological agent that causes the highly lethal disease is the African swine fever virus(ASFV)(Sanchez-Vizcaino) et al.展开更多
Quarantine insects are economically important pests that frequently invade new habitats.A rapid and accurate monitoring method to trace the geographical sources of invaders is required for their prevention,detection,a...Quarantine insects are economically important pests that frequently invade new habitats.A rapid and accurate monitoring method to trace the geographical sources of invaders is required for their prevention,detection,and eradication.Current methods based on genetics are typically time-consuming.Here,we developed a novel tracing method based on insect gut microbiota.The source location of the insect gut microbiota can be used to rapidly determine the geographical origin of the insect.We analyzed 179 gut microbiota samples from 591 individuals of 22 quarantine insect species collected from 36 regions in China.The gut microbiota of these insects primarily included Actinobacteria,Bacteroidetes,Cyanobacteria,Firmicutes,Proteobacteria,and Tenericutes.The diversity of the insect gut microbiota was closely associated with geographical and environmental factors.Different insect species could be distinguished based on the composition of gut microbiota at the phylum level.Populations of individual insect species from different regions could be distinguished based on the composition of gut microbiota at the phylum,class,and order levels.A method for determining the geographical origins of invasive insect species has been established;however,its practical application requires further investigations before implementation.展开更多
The global movement of people and goods has increased the risk of biosecurity threats and their potential to induce large economic,social,and environmental harm.Integration of biosafety monitoring networks has become ...The global movement of people and goods has increased the risk of biosecurity threats and their potential to induce large economic,social,and environmental harm.Integration of biosafety monitoring networks has become a top priority for addressing biosafety issues.In order to resolve the data standards and integration problems in the field of biosafety in China,the Biosafety Surveillance Conceptual Data Model(BSCDM),which is an object-oriented,hierarchically designed,flexible and scalable biosafety surveillance concept data model,is proposed in this article.This model is based on the integration of business process management and data resources of disease surveillance,animal disease surveillance and potential invasive biological monitoring.In reference to the Public Health Conceptual Data Model(PHCDM)and Federal Enterprise Architecture(FEA),BSCDM conducts a thorough analysis of biosafety monitoring activities,records basic information requirements of biosafety monitoring and provides data set standards for biosafety-related activities.It is developed with the Unified Modeling Language(UML)and could be applied as an open standard for accelerating data analysis and promoting collaboration.This study attempts to integrate biosafety monitoring data and the presented model has been tested in the detection of dengue fever in China and will be applied to other biosafety fields.展开更多
基金supported by grants from the National Key Research and Development Program of China(2018YFC1603803,2018YFC0840402 and 2016YFC1200800)the Research Project of African Swine Fever of Chinese Academy of Sciences(KJZD-SW-L06)
文摘Dear Editor,African swine fever(ASF)is a severe haemorrhagic fever in domestic pigs and wild boar with extremely high mortality rate.It is cataloged as a notifiable disease by the World Organization for Animal Health(OIE).The etiological agent that causes the highly lethal disease is the African swine fever virus(ASFV)(Sanchez-Vizcaino) et al.
基金supported by grants from the National Key R&D Program of China(Grant Nos.2016YFC1200800,2016YFC1200803,2016YFC1200805,and 2018YFC0809100).
文摘Quarantine insects are economically important pests that frequently invade new habitats.A rapid and accurate monitoring method to trace the geographical sources of invaders is required for their prevention,detection,and eradication.Current methods based on genetics are typically time-consuming.Here,we developed a novel tracing method based on insect gut microbiota.The source location of the insect gut microbiota can be used to rapidly determine the geographical origin of the insect.We analyzed 179 gut microbiota samples from 591 individuals of 22 quarantine insect species collected from 36 regions in China.The gut microbiota of these insects primarily included Actinobacteria,Bacteroidetes,Cyanobacteria,Firmicutes,Proteobacteria,and Tenericutes.The diversity of the insect gut microbiota was closely associated with geographical and environmental factors.Different insect species could be distinguished based on the composition of gut microbiota at the phylum level.Populations of individual insect species from different regions could be distinguished based on the composition of gut microbiota at the phylum,class,and order levels.A method for determining the geographical origins of invasive insect species has been established;however,its practical application requires further investigations before implementation.
基金This study was funded by National Key Research and Development Program:Research and Development of Key Technologies of Biosafety and Biosecurity(2016YFC1200800)administered by the Ministry of Science and Technology of the People's Republic of China。
文摘The global movement of people and goods has increased the risk of biosecurity threats and their potential to induce large economic,social,and environmental harm.Integration of biosafety monitoring networks has become a top priority for addressing biosafety issues.In order to resolve the data standards and integration problems in the field of biosafety in China,the Biosafety Surveillance Conceptual Data Model(BSCDM),which is an object-oriented,hierarchically designed,flexible and scalable biosafety surveillance concept data model,is proposed in this article.This model is based on the integration of business process management and data resources of disease surveillance,animal disease surveillance and potential invasive biological monitoring.In reference to the Public Health Conceptual Data Model(PHCDM)and Federal Enterprise Architecture(FEA),BSCDM conducts a thorough analysis of biosafety monitoring activities,records basic information requirements of biosafety monitoring and provides data set standards for biosafety-related activities.It is developed with the Unified Modeling Language(UML)and could be applied as an open standard for accelerating data analysis and promoting collaboration.This study attempts to integrate biosafety monitoring data and the presented model has been tested in the detection of dengue fever in China and will be applied to other biosafety fields.