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Macroporous Silicone Chips for Decoding Microbial Dark Matter in Environmental Microbiomes

Zoheir, Ahmed E. 1; Meisch, Laura 1; Martín, Marta Velaz 1; Bickmann, Christoph 1; Kiselev, Alexei 2; Lenk, Florian 1; Kaster, Anne-Kristin 1; Rabe, Kersten S. ORCID iD icon 1; Niemeyer, Christof M. ORCID iD icon 1
1 Karlsruher Institut für Technologie (KIT)
2 Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)

Abstract:

Natural evolution has produced an almost infinite variety of microorganisms that can colonize almost any conceivable habitat. Since the vast majority of these microbial consortia are still unknown, there is a great need to elucidate this “microbial dark matter” (MDM) to enable exploitation in biotechnology. We report the fabrication and application of a novel device that integrates a matrix of macroporous elastomeric silicone foam (MESIF) into an easily fabricated and scalable chip design that can be used for decoding MDM in environmental microbiomes. Technical validation, performed with the model organism Escherichia coli expressing a fluorescent protein, showed that this low-cost, bioinert, and widely modifiable chip is rapidly colonized by microorganisms. The biological potential of the chip was then illustrated through targeted sampling and enrichment of microbiomes in a variety of habitats ranging from wet, turbulent moving bed biofilters and wastewater treatment plants to dry air-based environments. Sequencing analyses consistently showed that MESIF chips are not only suitable for sampling with high robustness but also that the material can be used to detect a broad cross section of microorganisms present in the habitat in a short time span of a few days. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000152262
Veröffentlicht am 04.11.2022
Originalveröffentlichung
DOI: 10.1021/acsami.2c15470
Scopus
Zitationen: 4
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Aerosolforschung (IMKAAF)
Institut für Angewandte Biowissenschaften (IAB)
Institut für Biologische Grenzflächen (IBG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1944-8244, 1944-8252
KITopen-ID: 1000152262
HGF-Programm 12.11.12 (POF IV, LK 01) Atmospheric chemistry processes
Weitere HGF-Programme 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in ACS Applied Materials & Interfaces
Verlag American Chemical Society (ACS)
Band 14
Heft 44
Seiten 49592–49603
Vorab online veröffentlicht am 26.10.2022
Schlagwörter microbial dark matter biodiversity selective enrichment silicon foams PDMS chips microfabrication
Nachgewiesen in Web of Science
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Scopus
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