Literature DB >> 25523128

In situ DNA-hybridization chain reaction (HCR): a facilitated in situ HCR system for the detection of environmental microorganisms.

Tsuyoshi Yamaguchi1, Shuji Kawakami1,2, Masashi Hatamoto1, Hiroyuki Imachi3, Masanobu Takahashi1,4, Nobuo Araki5, Takashi Yamaguchi1, Kengo Kubota4.   

Abstract

In situ detection of microorganisms by fluorescence in situ hybridization (FISH) is a powerful tool for environmental microbiology, but analyses can be hampered by low rRNA content in target organisms, especially in oligotrophic environments. Here, we present a non-enzymatic, hybridization chain reaction (HCR)-based signal amplified in situ whole-cell detection technique (in situ DNA-HCR). The components of the amplification buffer were optimized to polymerize DNA amplifier probes for in situ DNA-HCR. In situ hybridization of initiator probes followed by signal amplification via HCR produced bright signals with high specificity and probe permeation into cells. The detection rates for Bacteria in a seawater sample and Archaea in anaerobic sludge samples were comparable with or greater than those obtained by catalyzed reporter deposition (CARD)-FISH or standard FISH. Detection of multiple organisms (Bacteria, Archaea and Methanosaetaceae) in an anaerobic sludge sample was achieved by simultaneous in situ DNA-HCR. In summary, in situ DNA-HCR is a simple and easy technique for detecting single microbial cells and enhancing understanding of the ecology and behaviour of environmental microorganisms in situ.
© 2014 Society for Applied Microbiology and John Wiley & Sons Ltd.

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Year:  2015        PMID: 25523128     DOI: 10.1111/1462-2920.12745

Source DB:  PubMed          Journal:  Environ Microbiol        ISSN: 1462-2912            Impact factor:   5.491


  17 in total

1.  Mapping a multiplexed zoo of mRNA expression.

Authors:  Harry M T Choi; Colby R Calvert; Naeem Husain; David Huss; Julius C Barsi; Benjamin E Deverman; Ryan C Hunter; Mihoko Kato; S Melanie Lee; Anna C T Abelin; Adam Z Rosenthal; Omar S Akbari; Yuwei Li; Bruce A Hay; Paul W Sternberg; Paul H Patterson; Eric H Davidson; Sarkis K Mazmanian; David A Prober; Matt van de Rijn; Jared R Leadbetter; Dianne K Newman; Carol Readhead; Marianne E Bronner; Barbara Wold; Rusty Lansford; Tatjana Sauka-Spengler; Scott E Fraser; Niles A Pierce
Journal:  Development       Date:  2016-10-01       Impact factor: 6.868

Review 2.  Decoding molecular interactions in microbial communities.

Authors:  Nicole A Abreu; Michiko E Taga
Journal:  FEMS Microbiol Rev       Date:  2016-07-13       Impact factor: 16.408

3.  Flow Cytometric Characterization of Antigen-Specific T Cells Based on RNA and Its Advantages in Detecting Infections and Immunological Disorders.

Authors:  Felix Radford; Sanjay Tyagi; Maria Laura Gennaro; Richard Pine; Yuri Bushkin
Journal:  Crit Rev Immunol       Date:  2016       Impact factor: 2.214

4.  Use of Hybridization Chain Reaction-Fluorescent In Situ Hybridization To Track Gene Expression by Both Partners during Initiation of Symbiosis.

Authors:  K Nikolakakis; E Lehnert; M J McFall-Ngai; E G Ruby
Journal:  Appl Environ Microbiol       Date:  2015-05-08       Impact factor: 4.792

5.  Advances and Challenges in Fluorescence in situ Hybridization for Visualizing Fungal Endobacteria.

Authors:  Demosthenes P Morales; Aaron J Robinson; Andrew C Pawlowski; Caitlyn Ark; Julia M Kelliher; Pilar Junier; James H Werner; Patrick S G Chain
Journal:  Front Microbiol       Date:  2022-05-26       Impact factor: 6.064

6.  Methanosaeta and "Candidatus Velamenicoccus archaeovorus".

Authors:  Jana Kizina; Sebastian F A Jordan; Gerrit Alexander Martens; Almud Lonsing; Christina Probian; Androniki Kolovou; Rachel Santarella-Mellwig; Erhard Rhiel; Sten Littmann; Stephanie Markert; Kurt Stüber; Michael Richter; Thomas Schweder; Jens Harder
Journal:  Appl Environ Microbiol       Date:  2022-03-21       Impact factor: 5.005

7.  Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer.

Authors:  Jinghua Zhang; Chen Li; Yimin Yin; Jiawei Zhang; Marcin Grzegorzek
Journal:  Artif Intell Rev       Date:  2022-05-04       Impact factor: 9.588

Review 8.  Molecular Techniques for the Detection of Organisms in Aquatic Environments, with Emphasis on Harmful Algal Bloom Species.

Authors:  Linda K Medlin; Jahir Orozco
Journal:  Sensors (Basel)       Date:  2017-05-22       Impact factor: 3.576

9.  Exposing the Three-Dimensional Biogeography and Metabolic States of Pathogens in Cystic Fibrosis Sputum via Hydrogel Embedding, Clearing, and rRNA Labeling.

Authors:  William H DePas; Ruth Starwalt-Lee; Lindsey Van Sambeek; Sripriya Ravindra Kumar; Viviana Gradinaru; Dianne K Newman
Journal:  mBio       Date:  2016-09-27       Impact factor: 7.867

10.  Ca2+ in Hybridization Solutions for Fluorescence in situ Hybridization Facilitates the Detection of Enterobacteriaceae.

Authors:  Shin Haruta; Takao Iino; Moriya Ohkuma; Ken-Ichiro Suzuki; Yasuo Igarashi
Journal:  Microbes Environ       Date:  2017-05-18       Impact factor: 2.912

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