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利用图像分析评估固体培养基上 和 的径向生长。

Use of image analysis to assess radial growth of and on solid media.

机构信息

Department of Biology, Valdosta State University, 1500 N. Patterson Street, Valdosta, Georgia 31698.

Department of Biology, Georgia Southern University, 11935 Abercorn Street, Savannah, Georgia 31319.

出版信息

Mycologia. 2024 Jan-Feb;116(1):213-225. doi: 10.1080/00275514.2023.2280434. Epub 2024 Jan 19.

DOI:10.1080/00275514.2023.2280434
PMID:38085557
Abstract

Despite significant research on early and late leaf spot diseases of peanut, in vitro study of the respective causal agents, and , has been limited due to cultural challenges that make growth of these fungi difficult to quantify with traditional methods. Studies were conducted to evaluate the practicality of image analysis to assess radial growth and tissue volume by correlating these assessments to dry mass. Image analysis was also used to estimate radial growth rates for these fungi over time. Tissue area and volume were significantly correlated to dry mass for in two separate experiments, and for when medium had been removed from tissues prior to dry mass assessments. Tissue area densities were the same for and , evaluated as a nonstromatal cercosporoid comparison, whereas tissue volume densities were greater for and than . A quadratic relationship was observed between radial growth and incubation time for all isolates evaluated. Growth rates of isolates were 2 to 4 times faster than during the first week of incubation and slowed over time. Growth rates of NP18R, a phenotype variant of , increased after neighboring colonies met and was nearly 2.5 times faster than the fastest rates observed for . These experiments demonstrate that when fungal tissues are observable, image analysis is a useful assessment tool for and . Care should be taken to monitor fungal phenotypic changes in these species because phenotype degeneration can affect growth rates.

摘要

尽管对花生早、晚期叶斑病进行了大量研究,但由于培养这些真菌的技术挑战使得传统方法难以量化其生长,因此对各自病原菌 和 的体外研究一直受到限制。本研究旨在评估图像分析在评估径向生长和组织体积方面的实用性,并将这些评估与干重相关联。图像分析还用于随时间估计这些真菌的径向生长速率。在两项独立的实验中,组织面积和体积与干重显著相关,而在去除组织中的培养基后, 与干重的相关性更强。组织面积密度在非叶状孢枝比较中, 和 相同,而组织体积密度 比 更大。对于所有评估的分离株,均观察到径向生长与培养时间之间存在二次关系。在培养的第一周, 分离株的生长速率比 快 2 到 4 倍,随着时间的推移而减慢。NP18R, 的表型变体,在相邻菌落相遇后生长速率增加,比 观察到的最快生长速率快近 2.5 倍。这些实验表明,当可以观察到真菌组织时,图像分析是 和 有用的评估工具。应注意监测这些物种中的真菌表型变化,因为表型退化会影响生长速率。

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