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用于测量实验性尿路感染期间尿路致病性细菌生长速率的多重聚合酶链反应。

Multiplexed PCR to measure growth rates of uropathogenic during experimental urinary tract infection.

作者信息

Paudel Santosh, Severin Geoffrey B, Pirani Ali, Snitkin Evan S, Mobley Harry L T

机构信息

Department of Microbiology and Immunology, and University of Michigan Medical School, Ann Arbor, USA.

Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, USA.

出版信息

bioRxiv. 2024 Nov 21:2024.11.21.624689. doi: 10.1101/2024.11.21.624689.

DOI:10.1101/2024.11.21.624689
PMID:39605434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11601645/
Abstract

Measuring bacterial growth rates is routine, however, determining growth rates during infection in host has been more challenging. Peak-to-trough ratio (PTR) is a technique for studying microbial growth dynamics, calculated using the ratio of replication origin () copies to that of the terminus (), as originally defined by whole genome sequencing (WGS). WGS presents significant challenges in terms of expense and data analysis complexity due to the presence of host DNA in the samples. Here, we used multiplexed PCR with fluorescent probes to estimate bacterial growth rates based on the abundance of - and -adjacent loci, without the need for WGS. We establish the utility of this approach by comparing growth rates of the uropathogenic (UPEC) strain HM86 by WGS (PTR) and qPCR to measure the equivalent (O:T ). We found that PTR and O:T were highly correlated and that O:T reliably predicted growth rates calculated by conventional methods. O:T was then used to calculate the growth rates in urine, bladder, and kidneys collected over the course of a week from a murine model of urinary tract infection (UTI). These analyses revealed that growth rate of UPEC strains gradually increased during the early stages of infection (0-6h), followed by a slow decrease in growth rates during later time points (1-7 days). This rapid and convenient method provides valuable insights into bacterial growth dynamics during infection and can be applied to other bacterial species in both animal models and clinical infections.

摘要

测量细菌生长速率是常规操作,然而,确定宿主感染期间的生长速率则更具挑战性。峰谷比(PTR)是一种研究微生物生长动态的技术,最初由全基因组测序(WGS)定义,通过复制起点()拷贝数与终点()拷贝数的比率来计算。由于样本中存在宿主DNA,WGS在费用和数据分析复杂性方面存在重大挑战。在此,我们使用带有荧光探针的多重PCR,基于与相邻位点的丰度来估计细菌生长速率,而无需WGS。我们通过比较尿路致病性(UPEC)菌株HM86通过WGS(PTR)和qPCR测量等效(O:T)的生长速率,确立了这种方法的实用性。我们发现PTR和O:T高度相关,并且O:T能够可靠地预测通过传统方法计算的生长速率。然后,O:T被用于计算从尿路感染(UTI)小鼠模型在一周内收集的尿液、膀胱和肾脏中的生长速率。这些分析表明,UPEC菌株的生长速率在感染早期(0 - 6小时)逐渐增加,随后在后期时间点(1 - 7天)生长速率缓慢下降。这种快速便捷的方法为感染期间的细菌生长动态提供了有价值的见解,并且可以应用于动物模型和临床感染中的其他细菌物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/358903462523/nihpp-2024.11.21.624689v2-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/8944e249fb5f/nihpp-2024.11.21.624689v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/8bfecd8628a1/nihpp-2024.11.21.624689v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/a9419eb7885d/nihpp-2024.11.21.624689v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/a463e4565450/nihpp-2024.11.21.624689v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/d9f431ec879e/nihpp-2024.11.21.624689v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/358903462523/nihpp-2024.11.21.624689v2-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/8944e249fb5f/nihpp-2024.11.21.624689v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/8bfecd8628a1/nihpp-2024.11.21.624689v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/a9419eb7885d/nihpp-2024.11.21.624689v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/a463e4565450/nihpp-2024.11.21.624689v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/d9f431ec879e/nihpp-2024.11.21.624689v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/033f/12233353/358903462523/nihpp-2024.11.21.624689v2-f0006.jpg

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