Shedding light on novel bacteria in wastewater treatment plants: FISH probe design based on the MiDAS 3.1 16S rRNA ecosystem-specific database

Jannie Munk Kristensen; Lee-Ann Clegg; Francesca Petriglieri; Marta Anna Nierychlo; Morten Simonsen Dueholm; Per Halkjær Nielsen

Shedding light on novel bacteria in wastewater treatment plants: FISH probe design based on the MiDAS 3.1 16S rRNA ecosystem-specific database

Jannie Munk Kristensen, Lee-Ann Clegg, Francesca Petriglieri, Marta Anna Nierychlo, Morten Simonsen Dueholm, Per Halkjær Nielsen^*

^*Corresponding author for this work

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Communication

Abstract

Recent development of sequencing techniques has enabled us to create new ecosystem-specific full-length 16S rRNA gene reference databases, which gives a unique opportunity to design FISH probes for novel bacteria and revise existing FISH-probes. By using ecosystem-specific instead of universal large-scale databases, it is possible to design specific FISH probes for nearly all microbes in the given ecosystem, allowing visualization of novel microbial key players and combine these for studies of their ecophysiology. Here we have used a wastewater treatment-specific database to design FISH-probes for novel members of the phylum Acidobacteria, a hitherto overlooked but abundant group in activated sludge. Combination with Raman microspectroscopy provided functional information

Original language	English
Publication date	20 Nov 2019
Publication status	Published - 20 Nov 2019
Event	8th IWA Microbial Ecology and Water Engineering Specialist Conference (MEWE2019) - Hiroshima, Japan Duration: 17 Nov 2019 → 20 Nov 2019 http://mewe2019.org/

Conference

Conference	8th IWA Microbial Ecology and Water Engineering Specialist Conference (MEWE2019)
Country/Territory	Japan
City	Hiroshima
Period	17/11/2019 → 20/11/2019
Internet address	http://mewe2019.org/

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@conference{0f62c16a8f144bba8f7d96cb2f6a4c89,

title = "Shedding light on novel bacteria in wastewater treatment plants: FISH probe design based on the MiDAS 3.1 16S rRNA ecosystem-specific database",

abstract = "Recent development of sequencing techniques has enabled us to create new ecosystem-specific full-length 16S rRNA gene reference databases, which gives a unique opportunity to design FISH probes for novel bacteria and revise existing FISH-probes. By using ecosystem-specific instead of universal large-scale databases, it is possible to design specific FISH probes for nearly all microbes in the given ecosystem, allowing visualization of novel microbial key players and combine these for studies of their ecophysiology. Here we have used a wastewater treatment-specific database to design FISH-probes for novel members of the phylum Acidobacteria, a hitherto overlooked but abundant group in activated sludge. Combination with Raman microspectroscopy provided functional information",

author = "Kristensen, {Jannie Munk} and Lee-Ann Clegg and Francesca Petriglieri and Nierychlo, {Marta Anna} and Dueholm, {Morten Simonsen} and Nielsen, {Per Halkj{\ae}r}",

year = "2019",

month = nov,

day = "20",

language = "English",

note = "8th IWA Microbial Ecology and Water Engineering Specialist Conference (MEWE2019) ; Conference date: 17-11-2019 Through 20-11-2019",

url = "http://mewe2019.org/",

}

Shedding light on novel bacteria in wastewater treatment plants: FISH probe design based on the MiDAS 3.1 16S rRNA ecosystem-specific database. / Kristensen, Jannie Munk ; Clegg, Lee-Ann ; Petriglieri, Francesca et al.
2019. Abstract from 8th IWA Microbial Ecology and Water Engineering Specialist Conference (MEWE2019), Hiroshima, Japan.

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Communication

TY - ABST

T1 - Shedding light on novel bacteria in wastewater treatment plants: FISH probe design based on the MiDAS 3.1 16S rRNA ecosystem-specific database

AU - Kristensen, Jannie Munk

AU - Clegg, Lee-Ann

AU - Petriglieri, Francesca

AU - Nierychlo, Marta Anna

AU - Dueholm, Morten Simonsen

AU - Nielsen, Per Halkjær

PY - 2019/11/20

Y1 - 2019/11/20

N2 - Recent development of sequencing techniques has enabled us to create new ecosystem-specific full-length 16S rRNA gene reference databases, which gives a unique opportunity to design FISH probes for novel bacteria and revise existing FISH-probes. By using ecosystem-specific instead of universal large-scale databases, it is possible to design specific FISH probes for nearly all microbes in the given ecosystem, allowing visualization of novel microbial key players and combine these for studies of their ecophysiology. Here we have used a wastewater treatment-specific database to design FISH-probes for novel members of the phylum Acidobacteria, a hitherto overlooked but abundant group in activated sludge. Combination with Raman microspectroscopy provided functional information

AB - Recent development of sequencing techniques has enabled us to create new ecosystem-specific full-length 16S rRNA gene reference databases, which gives a unique opportunity to design FISH probes for novel bacteria and revise existing FISH-probes. By using ecosystem-specific instead of universal large-scale databases, it is possible to design specific FISH probes for nearly all microbes in the given ecosystem, allowing visualization of novel microbial key players and combine these for studies of their ecophysiology. Here we have used a wastewater treatment-specific database to design FISH-probes for novel members of the phylum Acidobacteria, a hitherto overlooked but abundant group in activated sludge. Combination with Raman microspectroscopy provided functional information

M3 - Conference abstract for conference

T2 - 8th IWA Microbial Ecology and Water Engineering Specialist Conference (MEWE2019)

Y2 - 17 November 2019 through 20 November 2019

ER -

Shedding light on novel bacteria in wastewater treatment plants: FISH probe design based on the MiDAS 3.1 16S rRNA ecosystem-specific database

Abstract

Conference

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