聚落形成单位的最大似然估计值。

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
Microbiology spectrum Pub Date : 2024-09-03 Epub Date: 2024-07-23 DOI:10.1128/spectrum.03946-23
K Michael Martini, Satya Spandana Boddu, Ilya Nemenman, Nic M Vega
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引用次数: 0

摘要

测量样本中微生物的丰度是一项历史悠久的常见程序,但各微生物领域的最佳做法却不尽相同。串联稀释法通常用于稀释细菌培养物以产生可计数的菌落数,并根据这些计数推断出以菌落形成单位(CFU)衡量的细菌浓度。生成 CFU 点估计数据的最常用方法是将细菌培养在固体生长培养基上(或培养在固体生长培养基中)并计数其产生的菌落,或计数在给定稀释度下有生长的试管数量。传统上,这些类型的数据分别使用不同的分析方法进行分析。在这里,我们建立了这些方法之间的直接对应关系,通过将生长板上的菌落大小斑块视为等同于单个试管,我们可以将最可能数法的使用范围从液体试管实验扩展到生长板。我们还讨论了如何合并不同稀释度下的测量结果,并回顾了分析菌落计数的几种方法,包括泊松法和截断泊松法。我们使用模拟数据对所有点估计方法进行了计算测试。我们讨论了所有方法的相关误差范围、假设、优势和劣势。我们提供了这些估计方法的在线计算器。估计样本中微生物的数量是一个历史悠久的重要问题。然而,将不同测量结果结合起来等常见做法仍未达到最佳效果。我们对估算微生物丰度的方法进行了比较,并详细介绍了不同方法之间的映射,从而扩大了这些方法的适用范围。通过这种映射,可以利用传统的菌落形成单位(CFU)估算方法已经收集到的相同数据,对菌落形成单位(CFU)进行更高精度的估算。此外,我们还就如何合并不同稀释度的菌落计数测量结果提出了建议,纠正了文献中的一些误解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximum likelihood estimators for colony-forming units.

Measuring the abundance of microbes in a sample is a common procedure with a long history, but best practices are not well-conserved across microbiological fields. Serial dilution methods are commonly used to dilute bacterial cultures to produce countable numbers of colonies, and from these counts, to infer bacterial concentrations measured in colony-forming units (CFUs). The most common methods to generate data for CFU point estimates involve plating bacteria on (or in) a solid growth medium and counting their resulting colonies or counting the number of tubes at a given dilution that have growth. Traditionally, these types of data have been analyzed separately using different analytic methods. Here, we build a direct correspondence between these approaches, which allows one to extend the use of the most probable number method from the liquid tubes experiments, for which it was developed, to the growth plates by viewing colony-sized patches of a plate as equivalent to individual tubes. We also discuss how to combine measurements taken at different dilutions, and we review several ways of analyzing colony counts, including the Poisson and truncated Poisson methods. We test all point estimate methods computationally using simulated data. For all methods, we discuss their relevant error bounds, assumptions, strengths, and weaknesses. We provide an online calculator for these estimators.Estimation of the number of microbes in a sample is an important problem with a long history. Yet common practices, such as combining results from different measurements, remain sub-optimal. We provide a comparison of methods for estimating abundance of microbes and detail a mapping between different methods, which allows to extend their range of applicability. This mapping enables higher precision estimates of colony-forming units (CFUs) using the same data already collected for traditional CFU estimation methods. Furthermore, we provide recommendations for how to combine measurements of colony counts taken across dilutions, correcting several misconceptions in the literature.

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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
期刊介绍: Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.
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