In this study, the picocyanobacterial species composition of Lake Miyagase was examined by analyzing the 16S rRNA gene in a clone library and by amplicon sequencing using a benchtop next-generation sequencer. Five separate samples were analyzed from different days over a ten-month period. In the picocyanobacterial lineage, 9 and 12 OTUs were identified
Fujimoto, Naoshi +10 more
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Variable region analysis of 16S rRNA gene sequences is the most common tool in bacterial taxonomic studies. Although used for distinguishing bacterial species, its use remains limited due to the presence of variable copy numbers with sequence variation ...
Jerald Conrad Ibal +3 more
doaj +1 more source
Characterizing the composition of intestinal microflora by 16S rRNA gene sequencing
This study determined the composition and diversity of intestinal microflora in patients with colorectal adenoma (CRA), which may provide precedence for investigating the role of intestinal microflora in the pathogenesis of colorectal tumors, the composition of intestinal microflora closely related to CRA, and further validating the possibility of ...
Wang, Wen-Jia +7 more
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De novo species identification using 16S rRNA gene nanopore sequencing [PDF]
Nanopore sequencing is rapidly becoming more popular for use in various microbiota-based applications. Major limitations of current approaches are that they do not enable de novo species identification and that they cannot be used to verify species ...
Inga Leena Angell +14 more
doaj +2 more sources
Phylogenetic Position of Riemerella anatipestifer Based on 16S rRNA Gene Sequences [PDF]
Riemerella anatipestifer, the causative agent of septicemia anserum exsudativa (also called new duckling disease), belongs to the family Flavobacteriaceae of gram-negative bacteria. We determined the DNA sequences of the rrs genes encoding the 16S rRNAs of four R. anatipestifer strains by directly sequencing PCR-amplified rrs genes.
Subramaniam, S. +5 more
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Comparison of two approaches for the classification of 16S rRNA gene sequences
The use of 16S rRNA gene sequences for microbial identification in clinical microbiology is accepted widely, and requires databases and algorithms. We compared a new research database containing curated 16S rRNA gene sequences in combination with the lca (lowest common ancestor) algorithm (RDB-LCA) to a commercially available 16S rDNA Centroid approach.
Sonia, Chatellier +7 more
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Beating Naive Bayes at Taxonomic Classification of 16S rRNA Gene Sequences [PDF]
Naive Bayes classifiers (NBC) have dominated the field of taxonomic classification of amplicon sequences for over a decade. Apart from having runtime requirements that allow them to be trained and used on modest laptops, they have persistently provided class-topping classification accuracy.
Ziemski, Michal; id_orcid0000-0001-6285-8852 +3 more
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Accurate Identification of Common Pathogenic Nocardia Species: Evaluation of a Multilocus Sequence Analysis Platform and Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry. [PDF]
Species identification of Nocardia is not straightforward due to rapidly evolving taxonomy, insufficient discriminatory power of conventional phenotypic methods and also of single gene locus analysis including 16S rRNA gene sequencing.
Meng Xiao +10 more
doaj +1 more source
[Identification of mycobacteria by sequencing of rpoB gene and 16S rRNA].
To classify a specific Mycobacterium among various mycobacteria utilizing sequencing of rpoB gene. To classify mycobacteria not identified by DNA-DNA hybridization (DDH) using sequencing of rpoB and 16S rRNA gene.Classification of 106 Mycobacteria strains, one Nocardia strain, one Rhodococcus strain, four Gordona strains was made by using partial ...
KAZUMI, Yuko +2 more
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Sequencing 16S rRNA gene fragments using the PacBio SMRT DNA sequencing system [PDF]
Over the past 10 years, microbial ecologists have largely abandoned sequencing 16S rRNA genes by the Sanger sequencing method and have instead adopted highly parallelized sequencing platforms.
Patrick D. Schloss +4 more
doaj +2 more sources

