Benchmarking second and third-generation sequencing platforms for microbial metagenomics

被引:55
|
作者
Meslier, Victoria [1 ]
Quinquis, Benoit [1 ]
Da Silva, Kevin [1 ]
Plaza Onate, Florian [1 ]
Pons, Nicolas [1 ]
Roume, Hugo [1 ]
Podar, Mircea [2 ]
Almeida, Mathieu [1 ]
机构
[1] Univ Paris Saclay, INRAE, MetaGenoPolis, F-78350 Jouy En Josas, France
[2] Oak Ridge Natl Lab, Biosci Div, Oak Ridge, TN 37831 USA
基金
美国国家卫生研究院;
关键词
DIVERSITY; ALGORITHM; BACTERIAL; ARCHAEAL;
D O I
10.1038/s41597-022-01762-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Shotgun metagenomic sequencing is a common approach for studying the taxonomic diversity and metabolic potential of complex microbial communities. Current methods primarily use second generation short read sequencing, yet advances in third generation long read technologies provide opportunities to overcome some of the limitations of short read sequencing. Here, we compared seven platforms, encompassing second generation sequencers (Illumina HiSeq 300, MGI DNBSEQ-G400 and DNBSEQ-T7, ThermoFisher Ion GeneStudio S5 and Ion Proton P1) and third generation sequencers (Oxford Nanopore Technologies MinION R9 and Pacific Biosciences Sequel II). We constructed three uneven synthetic microbial communities composed of up to 87 genomic microbial strains DNAs per mock, spanning 29 bacterial and archaeal phyla, and representing the most complex and diverse synthetic communities used for sequencing technology comparisons. Our results demonstrate that third generation sequencing have advantages over second generation platforms in analyzing complex microbial communities, but require careful sequencing library preparation for optimal quantitative metagenomic analysis. Our sequencing data also provides a valuable resource for testing and benchmarking bioinformatics software for metagenomics.
引用
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页数:9
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