Big Data approaches to host-pathogen mapping: EID2 - an open-access, taxonomically- and spatially-referenced database of pathogens and their hosts

宿主-病原体绘图的大数据方法：EID2 - 病原体及其宿主的开放访问、分类学和空间参考数据库

• 批准号: BB/N02320X/1
• 负责人: Matthew Baylis
• 金额: $ 19.23万
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FN02320X%2F1
• 关键词: Big; Data; approaches; host; pathogen

What are all of the known pathogens of humans, and those of the animals that associate closely with us, and hence might spread to us? What are all of the known pathogens of the plants that we eat? And where in the world are these pathogens found? The general public may be surprised that answers to these questions are hard to obtain. A recent (2013) estimate is that only about one in fifty of human diseases have been comprehensively mapped, and the situation for animal and plant diseases is probably worse.In recent years the University of Liverpool has created an open-access database of human and animal pathogens, called the ENHanCED Infectious Diseases database or EID2. It stores information on pathogens, their hosts, and where both are found in the world, at national and sub-national (i.e. state or region) levels. All data are linked to evidence. The data entered into the database is obtained largely from three publicly available online resources: a taxonomy database (which describes which sort of organism a pathogen or host is - virus, insect, mammal etc.); a nucleotide sequence database (which provides information on the hosts and locations of pathogens); and a publication database called PubMed. Importantly, the data is obtained from these data sources by automated procedures, such that they can be regularly updated for relatively little effort. This is important as, for example, the numbers of nucleotide sequences entered into Genbank, one source of our information, is approaching 10 million per year; and there are over 1 million new papers indexed annually by PubMed (NCBI statistics).We expect EID2 to become a major resource for people involved in health-related research, and other health professionals. The volume of data in EID2 is already large and, over time, as more data become available and are automatically entered into the database, we hope it will become more comprehensive, and the definitive source of pathogen/disease information.EID2 offers numerous functions: identifying the pathogens of hosts, the hosts of pathogens, the known pathogens of a specific country or region, maps of the distribution of pathogens, and more besides.The aim of this proposal is to expand the database to include the pathogens of crop plants, add a new data stream for notifiable animal diseases which will make it more comprehensive and timely, update it regularly as new data become available, increase its functionality and speed, allow users to request changes and download bespoke data outputs, continually assess its accuracy, and promote its use to research and other communities.

已知的人类病原体以及与我们关系密切的动物病原体有哪些，因此可能会传播给我们？我们吃的植物的已知病原体都有哪些？这些病原体在世界上的什么地方被发现？公众可能会感到惊讶，这些问题的答案很难获得。最近（2013年）的一项估计是，只有大约五十分之一的人类疾病得到了全面的测绘，而动物和植物疾病的情况可能更糟。近年来，利物浦大学创建了一个人类和动物病原体的开放获取数据库，称为ENHanCED传染病数据库或EID 2。它储存了关于病原体、其宿主以及在世界上国家和次国家（即州或地区）一级发现这两种病原体的信息。所有数据都与证据相关联。输入数据库的数据主要来自三个公开的在线资源：分类数据库（描述病原体或宿主是哪种生物体-病毒、昆虫、哺乳动物等）;一个核苷酸序列数据库（提供病原体的宿主和位置信息）和一个名为PubMed的出版物数据库。重要的是，数据是通过自动化程序从这些数据源获得的，因此它们可以定期更新，而工作量相对较小。这一点很重要，因为，例如，进入Genbank的核苷酸序列的数量，我们的信息来源之一，每年接近1000万; PubMed每年索引的新论文超过100万篇（NCBI统计数据）。我们预计EID 2将成为参与健康相关研究的人员和其他健康专业人员的主要资源。EID 2中的数据量已经很大，随着时间的推移，随着更多数据的可用性和自动输入数据库，我们希望它将变得更加全面，并成为病原体/疾病信息的权威来源。确定宿主的病原体，病原体的宿主，特定国家或地区的已知病原体，病原体分布图，该提案的目的是扩大数据库，将作物病原体包括在内，增加一个新的应通报动物疾病数据流，使其更加全面和及时，随着新数据的出现定期更新，提高其功能和速度，允许用户要求更改和下载定制的数据输出，不断评估其准确性，并将其推广到研究和其他社区。

项目成果

Identifying life-history patterns along the fast-slow continuum of mammalian viral carriers

识别哺乳动物病毒携带者快慢连续体的生活史模式

• DOI: 10.21203/rs.3.rs-2722217/v1
• 发表时间: 2023
• 作者: Tonelli A

Predicting mammalian hosts in which novel coronaviruses can be generated

预测可产生新型冠状病毒的哺乳动物宿主

• DOI: 10.1101/2020.06.15.151845
• 发表时间: 2020
• 作者: Wardeh M

Reply to Gautret et al.

回复 Gautret 等人。

• DOI: 10.1093/infdis/jix022
• 发表时间: 2017
• 期刊: The Journal of infectious diseases
• 作者: Caminade C

Systematic Assessment of the Climate Sensitivity of Important Human and Domestic Animals Pathogens in Europe.

• DOI: 10.1038/s41598-017-06948-9
• 发表时间: 2017-08-02
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: McIntyre KM;Setzkorn C;Hepworth PJ;Morand S;Morse AP;Baylis M
• 通讯作者: Baylis M

Impact of recent and future climate change on vector-borne diseases.

• DOI: 10.1111/nyas.13950
• 发表时间: 2019-01
• 期刊: Annals of the New York Academy of Sciences
• 影响因子: 5.2
• 作者: Caminade C;McIntyre KM;Jones AE
• 通讯作者: Jones AE