多相分类学,细菌分类学的共识方法。

P Vandamme, B Pot, M Gillis, P de Vos, K Kersters, J Swings
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引用次数: 395

摘要

在过去的25年里,广泛的细菌分类研究逐渐取代了以前对形态、生理和生化特征的依赖。这种多相分类法考虑了所有可用的表型和基因型数据,并将它们整合在一个共识类型的分类中,框架是基于16S rRNA序列分析得出的一般系统发育。在某些情况下,共识分类是包含最少矛盾的妥协。人们认为,未来可用的参数越多,多相分类就越稳定。在这篇综述中,讨论了四组细菌的多相分类实践,这些细菌因其相关性或复杂性而被选择,或两者兼有:黄单胞菌和弯曲杆菌属,乳酸菌和共胞菌科。本文对目前的研究成果进行了评价,并讨论了多相分类学的发展前景,强调了多相分类学的重要作用。分类学家没有成功地标准化物种划分使用百分比DNA杂交值。再加上缺乏另一个物种定义的“黄金标准”,这对细菌分类学产生了巨大的影响。多相分类法不依赖于一个理论、一个假设或一套规则,提出了一种实用的共识型分类法方法,最大限度地整合了所有可用数据。在未来,多相分类法将不得不应对(i)海量的数据,(ii)大量的菌株,(iii)数据融合(数据聚合),这将需要高效和集中的数据存储。在未来,分类学研究将比现在更需要专业实验室的合作。这些未来的发展是否会保证更稳定的共识分类仍然是一个悬而未决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polyphasic taxonomy, a consensus approach to bacterial systematics.

Over the last 25 years, a much broader range of taxonomic studies of bacteria has gradually replaced the former reliance upon morphological, physiological, and biochemical characterization. This polyphasic taxonomy takes into account all available phenotypic and genotypic data and integrates them in a consensus type of classification, framed in a general phylogeny derived from 16S rRNA sequence analysis. In some cases, the consensus classification is a compromise containing a minimum of contradictions. It is thought that the more parameters that will become available in the future, the more polyphasic classification will gain stability. In this review, the practice of polyphasic taxonomy is discussed for four groups of bacteria chosen for their relevance, complexity, or both: the genera Xanthomonas and Campylobacter, the lactic acid bacteria, and the family Comamonadaceae. An evaluation of our present insights, the conclusions derived from it, and the perspectives of polyphasic taxonomy are discussed, emphasizing the keystone role of the species. Taxonomists did not succeed in standardizing species delimitation by using percent DNA hybridization values. Together with the absence of another "gold standard" for species definition, this has an enormous repercussion on bacterial taxonomy. This problem is faced in polyphasic taxonomy, which does not depend on a theory, a hypothesis, or a set of rules, presenting a pragmatic approach to a consensus type of taxonomy, integrating all available data maximally. In the future, polyphasic taxonomy will have to cope with (i) enormous amounts of data, (ii) large numbers of strains, and (iii) data fusion (data aggregation), which will demand efficient and centralized data storage. In the future, taxonomic studies will require collaborative efforts by specialized laboratories even more than now is the case. Whether these future developments will guarantee a more stable consensus classification remains an open question.

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