Farzand Robeena, Croix Megan De Ste, Dave Neelam, Bayliss Christopher D
Department of Genetics and Genome Biology, University of Leicester, United Kingdom.
Academic Quality and Development, Staffordshire University, United Kingdom.
MethodsX. 2023 Mar 2;10:102091. doi: 10.1016/j.mex.2023.102091. eCollection 2023.
Genome-wide association studies are a powerful approach for identifying determinants of disease. For infectious diseases, high throughput assays are required for measuring the variance in multiple virulence-related phenotypes of large bacterial isolate collections and for association of this phenotypic variance with genotype. The primary limiting factors are cost, effectiveness and a standardized inoculum. A method was developed to create an inoculum array of multiple isolates that could be used for a series of high-throughput multi-isolate phenotypic investigations in a laboratory setting. A key starting point was the standardisation of the inoculum by production of identical batches of each isolate from cells grown to mid-log phase. Cultures with pre-determined optical densities were aliquoted in set patterns into multiple multi-well plates containing 50% glycerol and stored at -80 °C. Prior to a specific assay, an inoculum plate was defrosted and subjected to a brief period of incubation. Control strains can be placed on each plate in order to control for intra-assay variability. A high throughput screen is described in detail for quantification of biofilm formation. This example utilised the crystal violet staining method and multi-assay stock plates containing 16 meningococcal isolates.•Multi-assay stock plate of exponentially growing isolates is cost-effective and simple to implement in a laboratory setting.•This method would predict realistic standard deviations for multiple isolates in phenotypic assays and generate data for performance of power calculations for genotyping.•This method has the potential to identify both known and unknown genetic determinants of phenotypic variability for each tested isolate when paired with genetic analysis of whole genome sequencing data.
全基因组关联研究是识别疾病决定因素的一种强大方法。对于传染病而言,需要高通量检测来测量大型细菌分离株集合中多种毒力相关表型的差异,并将这种表型差异与基因型相关联。主要限制因素是成本、有效性和标准化接种物。开发了一种方法来创建多个分离株的接种物阵列,可用于实验室环境中的一系列高通量多分离株表型研究。一个关键的起点是通过从生长至对数中期的细胞中生产每个分离株的相同批次来对接种物进行标准化。将具有预定光密度的培养物按设定模式分装到含有50%甘油的多个多孔板中,并储存在-80°C。在进行特定检测之前,将接种物板解冻并进行短暂孵育。可以在每个板上放置对照菌株,以控制检测内的变异性。详细描述了用于生物膜形成定量的高通量筛选。这个例子使用了结晶紫染色法和包含16种脑膜炎球菌分离株的多检测储备板。
•指数生长分离株的多检测储备板在实验室环境中具有成本效益且易于实施。
•该方法将预测表型检测中多个分离株的实际标准差,并生成用于基因分型功效计算的数据。
•当与全基因组测序数据的遗传分析配对时,该方法有可能识别每个测试分离株表型变异的已知和未知遗传决定因素。