ArticleBMC microbiology2020
Effects of graphene oxide on PCR amplification for microbial community survey.
Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Multifunctional carbon nanomaterials for diagnostic applications in infectious diseases and tumors.Materials today. Bio · 2022Review
- Highly Specific Loop-Mediated Isothermal Amplification Using Graphene Oxide-Gold Nanoparticles Nanocomposite for Foot-and-Mouth Disease Virus Detection.Nanomaterials (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundGraphene oxide (GO) has been suggested as an efficient assistant additive to eliminate non-specific amplification of the polymerase chain reaction (PCR). Although many studies have focused on exploring its molecular mechanism, the practice of GO on the quantitation of microbial community has not been implemented yet. In this study, GO was added in PCR system to explore the changes on removing typical amplification errors, such as chimera and mismatches on two kinds of mock communities (an evenly mixed and a staggered mock communities) and environmental samples.
resultsHigh-throughput sequencing of bacterial and fungal communities, based on 16S rRNA genes and internal transcribed spacers (ITS) respectively, showed that GO could significantly increase large segmental error (chimeric sequence) in PCR procedure while had no specific effect on point error (mismatched sequence). Besides, GO reduced the α-diversity of community, and changed the composition of fungal community more obviously than bacterial community.
conclusionsOur study provides the first quantitative data on microbial community level to prove the negative effect of GO, and also indicates that there may be a more complex interaction between GO and comprehensive DNA fragments in PCR process.
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Registered trials
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