Suarez-Duarte Mirtha E, Laub Ricardo P, Santos Renato L, Pereira Carlos E R, Resende Talita P, Araujo Matheus D, Correia Paula A, Barbosa Jessica C R, Guedes Roberto M C
Department of Clinic and Surgery, Veterinary School, Universidade Federal de Minas Gerais, Belo Horizonte 31270, Minas Gerais, Brazil.
Department of Veterinary, Universidade Federal de Viçosa, Belo Horizonte 31270, Minas Gerais, Brazil.
Microorganisms. 2025 Mar 3;13(3):568. doi: 10.3390/microorganisms13030568.
Studies investigating the pathogenesis of often require bacterial quantification in suspension. However, due to the organism's fastidious growth requirements-being both intracellular and microaerophilic-traditional quantification methods, such as colony-forming unit counting, are not feasible. Currently, the only widely available method for quantifying is real-time quantitative PCR (RT-qPCR). Unfortunately, the time required to perform RT-qPCR is incompatible with the bacterium's limited survival outside its intracellular and microaerophilic environment. As a result, bacterial suspensions are typically quantified subjectively, based on the researcher's experience for immediate use, with RT-qPCR conducted afterward. Optical density (OD) spectrophotometry is a rapid, although indirect, method of estimating bacterial concentrations in suspension, and it has been applied successfully to fast-growing prokaryotic species. Therefore, the objective of this study was to determine the correlation between RT-qPCR results and the optical density of suspensions, with the goal of enabling the use of spectrophotometry for immediate bacterial quantification in experimental settings. Optical densities (ODs) were measured at 405 nm and 450 nm, using either a cuvette or microplate, while RT-qPCR was employed to establish a standard curve from samples of known concentration and to quantify the concentration of in the test suspensions. Four comparison variations between OD and RT-qPCR were evaluated: (1) spectrophotometry at 405 nm using a cuvette vs. RT-qPCR; (2) spectrophotometry at 405 nm using a microplate vs. RT-qPCR; (3) spectrophotometry at 450 nm using a cuvette vs. RT-qPCR; and (4) spectrophotometry at 450 nm using a microplate vs. RT-qPCR. The tests were conducted in two independent replications, with each sample analyzed in duplicate. In all variations, the correlation between the bacterial concentrations determined by RT-qPCR and those estimated by OD was greater than 80%, with a statistical significance of < 0.05. The following OD conversion equations for determining the number of microorganisms/mL were obtained: (1) f(x) = -7.438 × 10 + 1.797 × 10. x; (2) f(x) = 3.255 × 10 + 3.003 × 10. x; (3) f(x) = -8.006 × 10 + 2.169 × 10. x; (4) f(x) = 3.107 × 10 + 3.758 × 10. x. Here, "X" is the Ct value obtained by RT-qPCR. These findings enable researchers to improve the accuracy of their experiments by utilizing optical spectrometry-a straightforward method that provides immediate results for determining bacterial concentration in suspensions.
研究[病原体名称]的发病机制通常需要对悬浮液中的细菌进行定量分析。然而,由于该生物体对生长条件要求苛刻——既是细胞内寄生菌又是微需氧菌——传统的定量方法,如菌落形成单位计数,并不适用。目前,唯一广泛可用的定量[病原体名称]的方法是实时定量聚合酶链反应(RT-qPCR)。不幸的是,进行RT-qPCR所需的时间与该细菌在细胞内和微需氧环境之外有限的存活时间不兼容。因此,细菌悬浮液通常是基于研究人员的经验主观地进行定量,以供立即使用,随后再进行RT-qPCR。光密度(OD)分光光度法是一种快速的、尽管是间接的估计悬浮液中细菌浓度的方法,并且已成功应用于快速生长的原核生物物种。因此,本研究的目的是确定RT-qPCR结果与[病原体名称]悬浮液光密度之间的相关性,目标是在实验环境中能够使用分光光度法立即对细菌进行定量。使用比色皿或微孔板在405nm和450nm处测量光密度(OD),同时使用RT-qPCR从已知浓度的样品建立标准曲线并定量测试悬浮液中[病原体名称]的浓度。评估了OD和RT-qPCR之间的四种比较变体:(1)使用比色皿在405nm处的分光光度法与RT-qPCR;(2)使用微孔板在405nm处的分光光度法与RT-qPCR;(3)使用比色皿在450nm处的分光光度法与RT-qPCR;(4)使用微孔板在450nm处的分光光度法与RT-qPCR。测试进行了两次独立重复,每个样品进行双份分析。在所有变体中,RT-qPCR测定的细菌浓度与OD估计的细菌浓度之间的相关性大于80%,统计学显著性P<0.05。获得了以下用于确定每毫升微生物数量的OD转换方程:(1)f(x)= -7.438×10 + 1.797×10·x;(2)f(x)= 3.255×10 + 3.003×10·x;(3)f(x)= -8.006×10 + 2.169×10·x;(4)f(x)= 3.107×10 + 3.758×10·x。这里,“X”是通过RT-qPCR获得的Ct值。这些发现使研究人员能够通过利用光谱法提高他们[病原体名称]实验的准确性——光谱法是一种直接的方法,能够立即得出悬浮液中细菌浓度的结果。