Identification of putative pan-streptococcal vaccine targets

链球菌在农业、水产养殖业中造成重大的经济损失和牲畜损失，严重影响人类健康。粮食生产继续集约化带来的这些主要威胁是由人、牛、猪、鱼之间日益增长的接口以及这些畜牧业部门的集约化所驱动的。由于耐药性的增长和这种人畜共患病病原体内基因转移的威胁，抗生素控制疾病变得越来越不可行，迫切需要替代的控制策略。人畜共患链球菌的菌株、流行率和序列信息有限，这些菌株的功能特征将为未来潜在的基于控制的策略提供关键的毒力相关信息。识别参与感染过程的细菌的关键成分将使开发防止传播的替代疗法成为可能。或者，可以将这些成分纳入诊断测试，以确定自然携带的更有可能导致感染的菌株，从而在传播更有可能导致疾病的情况下提供更有针对性的治疗方法。任何一种方法都将极大地减少人和牲畜中链球菌感染的发生率，从而降低与这种疾病有关的死亡率。该项目将利用SVMS的链球菌研究组(SRG)产生的大量随机突变高通量测序数据来表征人类、鱼类和牛的泛链球菌致病所必需的基因/蛋白质。使用pGh9：ISS1插入突变系统为代表菌株产生了单个细菌突变库，并使用我们开发的名为Pimms V2的新的定制实验室和生物信息分析程序进行了分析。PIMMS V2将被用来绘制细菌基因组内的插入图谱，并识别条件重要/必要的序列，这些序列将被转化为代谢途径和生化过程，以供进一步比较分析。该项目将首先完成对8个目标链球菌基因组(链球菌、猪链球菌、肺炎链球菌、Garviae和异常乳杆菌)的基因组分析，并利用现有的PIMMS数据进行完整的表型分析，从而确定推定的泛链球菌目标。这些靶标的其他特征将在实验室使用SRG持有的突变库进行，以评估假定的靶标是否真的推断出生长抑制效应。该项目的总体输出将是一个经过实验确认的数据分析管道，它将与现有的PIMMS管道合作，整合多个数据集，为未来疫苗开发中更大规模的拨款提案产生目标。

Streptococci cause significant economic and stock losses in the agriculture, aquaculture and have a serious impact on human health. These key threats from the continued intensification of food production are driven by the growing human:cattle:swine:fish interface and intensification of these livestock sectors. Antibiotic control of disease is becoming less feasible due to growing resistance and the threat of gene transfer within this zoonotic pathogen and alternative control strategies are urgently required. Limited strain, prevalence and sequence information exists for zoonotic Streptococcus and functional characterisation of these strains will provide key virulence related information for potential future control-based strategies. Identification of the key components of bacteria that are involved in the infection process will allow the development of alternative therapies that prevent transmission. Alternately, these components may be incorporated into diagnostic tests to identify those strains naturally carried that are more likely cause infection, allowing a more targeted approach for treatment in those situations where transmission leading to disease is more likely. Either approach would greatly reduce the incidence of streptococcal infection in humans and livestock and thus reduce mortality associated with this disease. This project will characterise genes/proteins essential for pan-streptococcal pathogenesis in humans, fish and cattle using vast archive of random mutagenesis high throughput sequencing data which have been generated in the Streptococcal Research Group (SRG) at SVMS. Individual bacterial mutant pools have be generated for representative strains using the pGh9:ISS1 insertional mutagenesis system, and analysed using the new bespoke laboratory and bioinformatic analysis programme we have developed called PIMMS V2. PIMMS V2 will be used to map insertions within the bacterial genomes and identify conditionally important / essential sequences that will be translated to metabolic pathways and biochemical processes for further comparative analysis. Producing information that describes a pan streptococcal essential genome and/or conditionally important genome and metabolic/ biochemical pathways and processes against which new disease control strategeies could be based.The project will initially complete a pangenome analysis of 8 target streptococcal genomes (Streptococcus uberis, iniae, suis, agalactiae, pneumoniae, garviae and dysgalactiae) and incorporate a complete phenotypic pangenome analysis using the existing PIMMS data available leading to the identification of putative pan-streptococcal targets. Additional characterisation of these targets will take place in the laboratory using mutant banks held by SRG, to assess if the putative targets do infer a growth inhibiting effect. The overall output for the project will be a experimentally confirmed data analysis pipeline which will work with the existing PIMMS pipeline to incorporate multiple datasets, producing targets for future larger grant proposal in vaccine development.