Supercharging the radars for pathogen surveillance

增强雷达的病原体监测能力

• 批准号: 1776919
• 金额: --
• 依托单位: University of East Anglia
• 依托单位国家: 英国
• 项目类别: Studentship
• 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=studentship-1776919
• 关键词: Supercharging; radars; pathogen; surveillance

Brown rust of wheat, caused by the fungus Puccinia triticina, is one of the key threats to the yield of wheat in the UK and across Europe. Although it is sporadic in its appearance, in epidemic years losses in the UK can exceed £20 million. The brown rust pathogen population is routinely monitored as part of the UK Cereal Pathogen Virulence Survey (UKCPVS) and this provides information and early warning to farmers and wheat breeders that previously resistant wheat varieties may be under threat. However, despite the success of the UKCPVS and our understanding of the phenotypic diversity of brown rust of wheat, we know almost nothing about its genetic diversity.In response, we recently developed an approach called "field pathogenomics" for pathogen population surveillance based on high-resolution transcriptome data for a related rust pathogen (Hubbard et al., 2015). Our new approach based on next-generation sequencing technology enables the rapid generation of high-resolution genotypic data for integration into pathogen surveillance activities that is vital to improve our understanding of the genetic sub-structure within a population. The aim of this PhD studentship project is to specifically develop the "field pathogenomics" methodology for wheat brown rust.

小麦褐锈病是由小麦柄锈菌引起的，是对英国和整个欧洲小麦产量的主要威胁之一，尽管这种病的出现是零星的，但在流行年份，英国的损失可能超过 2000 万英镑。作为英国谷物病原体毒力调查（UKCPVS）的一部分，对褐锈病病原体种群进行例行监测，这为农民和小麦育种者提供了信息和预警，表明先前具有抗性的小麦品种可能受到威胁。 UKCPVS 和我们对小麦褐锈病表型多样性的了解，我们对其遗传多样性几乎一无所知。作为回应，我们最近开发了一种称为“现场病原组学”的方法，用于基于相关相关疾病的高分辨率转录组数据进行病原菌种群监测。我们基于下一代测序技术的新方法能够快速生成高分辨率基因型数据，以便整合到病原体监测活动中，这对于提高我们对基因的了解至关重要。该博士生项目的目的是专门开发小麦褐锈病的“田间病原学”方法。