Evidence map›Paper›PMID 38645704›Full record

ArticleJournal of oral microbiology2024

Comparison of the performance of MiSeq and NovaSeq in oral microbiome study.

Hyejung Han, Hyo-Jung Lee, Keun-Suh Kim, Jin Chung, Hee Sam Na

Abstract read
In one paragraph

Article in Journal of oral microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hyejung HanDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, South Korea.
Hyo-Jung LeeDepartment of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
Keun-Suh KimDepartment of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
Jin ChungDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, South Korea.
Hee Sam NaDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Next generation sequencing is commonly used to characterize the microbiome structure. MiSeq is most commonly used to analyze the microbiome due to its relatively long read length. Illumina also introduced the 250 × 2 chip for NovaSeq. The purpose of this study was to compare the performance of MiSeq and NovaSeq in the context of oral microbiome study. Methods: Total read count, read quality score, relative bacterial abundance, community diversity, and correlation between two platforms were analyzed. Phylogenetic trees were analyzed for Results: NovaSeq produced significantly more read counts and assigned more operational taxonomic units (OTUs) compared to MiSeq. Community diversity was similar between MiSeq and NovaSeq. NovaSeq were able to detect more unique OTUs compared to MiSeq. When phylogenetic trees were constructed for Conclusion: Taken together, while both MiSeq and NovaSeq platforms effectively characterize the oral microbiome, NovaSeq outperformed MiSeq in terms of read counts and detection of unique OTUs, highlighting its potential as a valuable tool for large scale oral microbiome studies.

Indexed as

MiSeqnext generation sequencingNovaSeqOral microbiomeStreptococcus

Identifiers

PMID38645704
PMCPMC11028001

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.