KU-KIST Green School, Korea University, Seoul, Republic of Korea.
Department of Earth and Environmental Sciences, Korea University, Seoul, Republic of Korea.
PLoS One. 2021 Feb 10;16(2):e0246142. doi: 10.1371/journal.pone.0246142. eCollection 2021.
Although a number of different methods have been used to quantify soil bacteria, identifying the optimal method(s) for soil bacterial abundance is still in question. No single method exists for undertaking an absolute microbial count using culture-dependent methods (CDMs) or even culture-independent methods (CIMs). This study investigated soil storage and pretreatment methods for optimal bacterial counts. Appropriate storage temperature (4°C) and optimal pretreatment methods (sonication time for 3 min and centrifugation at 1400 g) were necessary to preserve bacterial cell viability and eliminate interference from soil particles. To better estimate soil bacterial numbers under various cellular state and respiration, this study also evaluated three CDMs (i.e., colony forming unit, spotting, and most probable number (MPN) and three CIMs (i.e., flow cytometry (FCM), epifluorescence microscopy (EM) count, and DNA quantitation). Each counting method was tested using 72 soil samples collected from a local arable farm site at three different depths (i.e., 10-20, 90-100, and 180-190 cm). Among all CDMs, MPN was found to be rapid, simple, and reliable. However, the number of bacteria quantified by MPN was 1-2 orders lower than that quantified by CIMs, likely due to the inability of MPN to count anaerobic bacteria. The DNA quantitation method appeared to overestimate soil bacterial numbers, which may be attributed to DNA from dead bacteria and free DNA in the soil matrix. FCM was found to be ineffective in counting soil bacteria as it was difficult to separate the bacterial cells from the soil particles. Dyes used in FCM stained the bacterial DNA and clay particles. The EM count was deemed a highly effective method as it provided information on soil mineral particles, live bacteria, and dead bacteria; however, it was a time-consuming and labor-intensive process. Combining both types of methods was considered the best approach to acquire better information on the characteristics of indigenous soil microorganisms (aerobic versus anaerobic, live versus dead).
尽管已经使用了许多不同的方法来量化土壤细菌,但确定用于土壤细菌丰度的最佳方法仍存在疑问。使用基于培养的方法(CDM)甚至非培养方法(CIM)进行绝对微生物计数,不存在单一的方法。本研究调查了用于最佳细菌计数的土壤储存和预处理方法。适当的储存温度(4°C)和最佳预处理方法(超声 3 分钟和 1400g 离心)对于保持细菌细胞活力和消除土壤颗粒干扰是必要的。为了更好地估计各种细胞状态和呼吸下的土壤细菌数量,本研究还评估了三种 CDM(即菌落形成单位、点样和最可能数(MPN)和三种 CIM(即流式细胞术(FCM)、荧光显微镜计数(EM)和 DNA 定量)。使用从当地耕地场的三个不同深度(即 10-20、90-100 和 180-190cm)收集的 72 个土壤样本测试了每种计数方法。在所有的 CDM 中,MPN 被发现快速、简单和可靠。然而,通过 MPN 定量的细菌数量比通过 CIM 定量的细菌数量低 1-2 个数量级,这可能是由于 MPN 无法计数厌氧菌。DNA 定量方法似乎高估了土壤细菌数量,这可能是由于死细菌和土壤基质中游离 DNA 的 DNA。FCM 被发现对土壤细菌计数无效,因为很难将细菌细胞从土壤颗粒中分离出来。FCM 中使用的染料染色了细菌 DNA 和粘土颗粒。EM 计数被认为是一种非常有效的方法,因为它提供了有关土壤矿物质颗粒、活细菌和死细菌的信息;然而,这是一个耗时且劳动密集的过程。结合这两种方法被认为是获取关于土著土壤微生物(好氧与厌氧、活与死)特征的更好信息的最佳方法。