Automated and unbiased image analyses as tools in phenotypic classification of small-spored Alternaria spp.
Automated and unbiased image analyses as tools in phenotypic classification of small-spored Alternaria spp.
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DOI：
10.1094/phyto-95-1021
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发表时间：
2005-09-01
期刊：
影响因子：
3.2
通讯作者：
Smedsgaard, J
中科院分区：
文献类型：
--
作者：
Andersen, B;Hansen, ME;Smedsgaard, J
25年来，围绕小孢子链格孢属的特征和分化一直存在争议。因此，涉及宿主特异性毒素产生相关疾病病理学的几个物种名称的应用。名字A。alternata通常被广泛应用于来自不同宿主的各种形态和化学上不同的分离物群。本研究的目的是开发和评估自动化和公正的图像分析系统，将分析不同的表型特征，并促进测试和应用的形态学种的概念在链格孢分类。寄主特异性产毒素链格孢菌株分配到五个形态种进行了比较，代表性菌株的形态上不同的A。交替不同温度下的生长速率、菌落形态和代谢产物谱的综合结果被发现可用于小孢子链格孢属的表征和分化。当应用标准化条件并采用代表性分离物进行比较时。
For more than 25 years, controversy has surrounded the characterization and differentiation of small-spored Alternaria spp. And, therefore, the application of names of several species that are involved in the pathology of diseases related to host-specific toxin production. The name A. alternata often has been broadly applied to various morphologically and chemically distinct groups of isolates from different hosts. The purpose of this study was to develop and evaluate automated and unbiased image analysis systems that will analyze different phenotypic characters and facilitate testing and application of the morphological species concept in Alternaria taxonomy. Host-specific toxin-producing Alternaria isolates assigned to five morpho-species were compared with representative isolates of morphologically distinct A. alternata. Combined results of growth rates at different temperatures, colony morphology, and metabolite profiles were found to be useful in characterization and differentiation of small-spored Alternaria spp. when standardized conditions are applied and representative isolates employed for comparison.