Center for Food Safety and Nutrition, Food and Drug Administration, Laurel, Maryland, United States of America.
Department of Computer Science, University of Maryland, College Park, Maryland, United States of America.
PLoS Comput Biol. 2024 Aug 5;20(8):e1012343. doi: 10.1371/journal.pcbi.1012343. eCollection 2024 Aug.
For decades, the 16S rRNA gene has been used to taxonomically classify prokaryotic species and to taxonomically profile microbial communities. However, the 16S rRNA gene has been criticized for being too conserved to differentiate between distinct species. We argue that the inability to differentiate between species is not a unique feature of the 16S rRNA gene. Rather, we observe the gradual loss of species-level resolution for other nearly-universal prokaryotic marker genes as the number of gene sequences increases in reference databases. This trend was strongly correlated with how represented a taxonomic group was in the database and indicates that, at the gene-level, the boundaries between many species might be fuzzy. Through our study, we argue that any approach that relies on a single marker to distinguish bacterial taxa is fraught even if some markers appear to be discriminative in current databases.
几十年来,16S rRNA 基因一直被用于对原核生物进行分类学分类,并对微生物群落进行分类学分析。然而,16S rRNA 基因因过于保守而无法区分不同的物种而受到批评。我们认为,无法区分物种并不是 16S rRNA 基因所特有的。相反,我们观察到,随着参考数据库中基因序列数量的增加,其他几乎普遍存在的原核生物标记基因的种水平分辨率逐渐丧失。这种趋势与分类群在数据库中的代表性密切相关,表明在基因水平上,许多物种之间的界限可能是模糊的。通过我们的研究,我们认为,任何依赖单一标记来区分细菌分类群的方法都是有风险的,即使有些标记在当前的数据库中似乎具有鉴别力。