[YY-EEID US-UK XXXX] Predictive phylogenetics for evolutionary and transmission dynamics of newly emerging avian influenza viruses

[YY-EEID US-UK XXXX] 新兴禽流感病毒进化和传播动力学的预测系统发育学

基本信息

批准号：
BB/V011286/1
负责人：
Paul Digard
金额：
$ 159.4万
依托单位：
University of Edinburgh
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2021
资助国家：
英国
起止时间：
2021 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FV011286%2F1
关键词：
YY EEID US UK XXXX

项目摘要

Influenza virus is a global problem, causing widespread harm to human health and the food production system because it also infects chickens and pigs. Vaccination is difficult because of the variety and changeability of flu strains found in nature - primarily in wild birds, where often they cause little harm. However, when these strains of virus spill over into domestic poultry or humans, they can cause massive economic losses and fatal disease respectively. In the last twenty years, this has been graphically illustrated by the H5N1 and H7N9 outbreaks. Global surveillance programmes track the virus' movement and as part of this, characterise the sequence of the viral genome. Some aspects of virus behaviour can be accurately predicted from these sequences. However, many other important aspects of virus biology, such as whether it will travel across continents, which species it will infect and whether it will cause serious harm, are much harder to forecast. Our premise is that the volume of sequencing data now available, along with recent advances in computational methods of using such data, will make it possible for the first time to generate virtual models of how the virus will evolve under specific circumstances and how these viral variants will behave. Such models have the potential to produce risk estimates of new strains as they arise that can be used to inform policy and direct strategies to head off impending threats. To achieve this goal, we have brought together a team of international experts with interdisciplinary expertise in mathematical modelling, influenza surveillance and biology, and the infectious disease-public and animal health interface. Importantly, this includes colleagues from China, the likely epicentre of the virus. Together, we will create the computer models that can understand and forecast virus evolution; models that will be made accurate and then tested through a series of focussed laboratory experiments designed to produce the needed data, and whose types of output will be tailored to the needs of end users through a series of workshops that include the primary stake holders so they can inform the scientists on what information they need.

流感病毒是一个全球问题，对人类健康和粮食生产系统造成了广泛的伤害，因为它还感染了鸡和猪。由于在自然界中发现的流感菌株的多样性和变化性，主要是在野生鸟类中，因此很难造成伤害，因此很难疫苗接种。但是，当这些病毒菌株溢出到家禽或人类中时，它们会分别造成巨大的经济损失和致命疾病。在过去的二十年中，H5N1和H7N9爆发以图形方式说明了这一点。全球监视计划跟踪病毒运动的运动，并以此为一部分，以病毒基因组的顺序为特征。从这些序列可以准确预测病毒行为的某些方面。但是，病毒生物学的许多其他重要方面，例如它是否会跨大洲传播，它将感染哪些物种以及它是否会造成严重伤害，这更难预测。我们的前提是，现在可用的测序数据量以及使用此类数据的计算方法的最新进展，将首次成为可能在特定情况下如何在特定情况下以及这些病毒变异表现的虚拟模型生成虚拟模型。这样的模型有可能对新菌株产生风险估计，以便为政策和直接策略提供依据，以避免即将来临的威胁。为了实现这一目标，我们将一个国际专家组成的团队汇集了数学建模，流感监测和生物学方面的跨学科专业知识，以及传染病 - 公共和动物健康界面。重要的是，这包括来自中国的同事，该病毒的中心。我们将共同创建可以理解和预测病毒演化的计算机模型。将通过一系列专注的实验室实验进行准确的模型，然后通过一系列的数据类型进行测试，并通过一系列的研讨会将其输出类型量身定制，以最终用户的需求量身定制，这些研讨会包括主要的利益持有人，以便他们可以告知科学家所需的信息。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Dealing with Highly Pathogenic Avian Influenza: An Impending Crisis.

DOI：
10.1016/j.xinn.2021.100084
发表时间：
2021-02-28
期刊：
Innovation (Cambridge (Mass.))
影响因子：
0
作者：
Lin R;Lu L;Lycett S;Liu W;Li J
通讯作者：
Li J

Re-emergence of H5N8 highly pathogenic avian influenza virus in wild birds, China.

H5N8高致病性禽流感病毒在中国野生鸟类中重新出现

DOI：
10.1080/22221751.2021.1968317
发表时间：
2021-12
期刊：
Emerging microbes & infections
影响因子：
13.2
作者：
Li J;Zhang C;Cao J;Yang Y;Dong H;Cui Y;Yao X;Zhou H;Lu L;Lycett S;Wang X;Song H;Liu W;Gao GF;Shi W;Bi Y
通讯作者：
Bi Y

Highly Pathogenic Avian Influenza and its Complex Patterns of Reassortment

高致病性禽流感及其复杂的重配模式

DOI：
10.2139/ssrn.4655071
发表时间：
2023
期刊：
SSRN Electronic Journal
影响因子：
0
作者：
Harvey W
通讯作者：
Harvey W

Novel Avian Influenza Virus (H5N1) Clade 2.3.4.4b Reassortants in Migratory Birds, China.

DOI：
10.3201/eid2906.221723
发表时间：
2023-06
期刊：
EMERGING INFECTIOUS DISEASES
影响因子：
11.8
作者：
Yang, Jing;Zhang, Chunge;Yuan, Yue;Sun, Ju;Lu, Lu;Sun, Honglei;Sun, Heting;Chu, Dong;Qin, Siyuan;Chen, Jianjun;Zhang, Chengbo;Hao, Xiyan;Shi, Weifeng;Liu, Wenjun;Gao, George F.;Digard, Paul;Lycett, Samantha;Bi, Yuhai
通讯作者：
Bi, Yuhai

Spatiotemporal genotype replacement of H5N8 avian influenza viruses contributed to H5N1 emergence in 2021/2022 panzootic