Targeting the 16S rRNA Gene for Bacterial Identification in Complex Mixed Samples: Comparative Evaluation of Second (Illumina) and Third (Oxford Nanopore Technologies) Generation Sequencing Technologies

被引:119
作者
Winand, Raf [1 ]
Bogaerts, Bert [1 ]
Hoffman, Stefan [1 ]
Lefevre, Loic [1 ]
Delvoye, Maud [1 ]
Van Braekel, Julien [1 ]
Fu, Qiang [1 ]
Roosens, Nancy H. C. [1 ]
De Keersmaecker, Sigrid C. J. [1 ]
Vanneste, Kevin [1 ]
机构
[1] Transversal Activ Appl Genom, B-1050 Brussels, Belgium
关键词
orientation; bacterial identification; 16S rRNA; targeted genomics; public health; Illumina; Nanopore; targeted metagenomics; GENOME; CLASSIFICATION; MICROORGANISMS; PRIMERS; QUALITY; SILVA;
D O I
10.3390/ijms21010298
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Rapid, accurate bacterial identification in biological samples is an important task for microbiology laboratories, for which 16S rRNA gene Sanger sequencing of cultured isolates is frequently used. In contrast, next-generation sequencing does not require intermediate culturing steps and can be directly applied on communities, but its performance has not been extensively evaluated. We present a comparative evaluation of second (Illumina) and third (Oxford Nanopore Technologies (ONT)) generation sequencing technologies for 16S targeted genomics using a well-characterized reference sample. Different 16S gene regions were amplified and sequenced using the Illumina MiSeq, and analyzed with Mothur. Correct classification was variable, depending on the region amplified. Using a majority vote over all regions, most false positives could be eliminated at the genus level but not the species level. Alternatively, the entire 16S gene was amplified and sequenced using the ONT MinION, and analyzed with Mothur, EPI2ME, and GraphMap. Although >99% of reads were correctly classified at the genus level, up to approximate to 40% were misclassified at the species level. Both technologies, therefore, allow reliable identification of bacterial genera, but can potentially misguide identification of bacterial species, and constitute viable alternatives to Sanger sequencing for rapid analysis of mixed samples without requiring any culturing steps.
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页数:22
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