Sequence-Specific Capture of Oligonucleotide Probes (SCOPE): a Simple and Rapid Microbial rRNA Quantification Method Using a Molecular Weight Cutoff Membrane-Reference-Cited by-同舟云学术

Sequence-Specific Capture of Oligonucleotide Probes (SCOPE): a Simple and Rapid Microbial rRNA Quantification Method Using a Molecular Weight Cutoff Membrane

Published:2021-09-28 Issue:20 Volume:87 Page:
ISSN:0099-2240
Container-title:Applied and Environmental Microbiology
language:en
Short-container-title:Appl Environ Microbiol

Author:

Takemura Yasuyuki¹²,Sekiguchi Yuji³,Syutsubo Kazuaki²,Harada Hideki¹⁴,Omura Tatsuo⁴,Li Yu-You¹⁵,Kubota Kengo¹⁵^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, Tohoku University, Sendai, Miyagi, Japan

2. Regional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan

3. Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan

4. New Industry Creation Hatchery Center, Tohoku University, Sendai, Miyagi, Japan

5. Department of Frontier Sciences for Advanced Environment, Tohoku University, Sendai, Miyagi, Japan

Abstract

Microorganisms play integral roles in the earth’s ecosystem. Microbial populations and their activities significantly affect the global nutrient cycles.

Funder

MEXT | JST | Core Research for Evolutional Science and Technology

MEXT | Japan Society for the Promotion of Science

Publisher

American Society for Microbiology

Subject

Ecology,Applied Microbiology and Biotechnology,Food Science,Biotechnology

Link

https://journals.asm.org/doi/pdf/10.1128/AEM.01167-21

Reference35 articles.

1. Analysing Microbial Community Composition through Amplicon Sequencing: From Sampling to Hypothesis Testing

2. Environmental Sequencing Provides Reasonable Estimates of the Relative Abundance of Specific Picoeukaryotes

3. Bacterial and Eukaryotic Small-Subunit Amplicon Data Do Not Provide a Quantitative Picture of Microbial Communities, but They Are Reliable in the Context of Ecological Interpretations

4. CARD-FISH for Environmental Microorganisms: Technical Advancement and Future Applications

5. Automated Image Analysis for Quantitative Fluorescence In Situ Hybridization with Environmental Samples

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