1. Academic Validation
  2. Optimization of RNA extraction for bacterial whole transcriptome studies of low-biomass samples

Optimization of RNA extraction for bacterial whole transcriptome studies of low-biomass samples

  • iScience. 2022 Oct 9;25(11):105311. doi: 10.1016/j.isci.2022.105311.
Tom Verbeelen 1 2 Rob Van Houdt 1 Natalie Leys 1 Ramon Ganigué 2 3 Felice Mastroleo 1
Affiliations

Affiliations

  • 1 Microbiology Unit, Interdisciplinary Biosciences, Belgian Nuclear Research Centre (SCK CEN), 2400 Mol, Belgium.
  • 2 Center for Microbial Ecology and Technology (CMET), Faculty of Bioscience Engineering, Ghent University, 9000 Ghent, Belgium.
  • 3 Centre for Advanced Process Technology for Urban REsource Recovery (CAPTURE), 9000 Ghent, Belgium.
Abstract

We developed a procedure for extracting maximal amounts of high-quality RNA from low-biomass producing (autotrophic) bacteria for experiments where sample volume is limited. Large amounts of high-quality RNA for downstream analyses cannot be obtained using larger quantities of culture volume. The performance of standard commercial silica-column based kit protocols and these procedures amended by ultrasonication or enzymatic lysis were assessed. The ammonium-oxidizing Nitrosomonas europaea and nitrite-oxidizing Nitrobacter winogradskyi were used as model organisms for optimization of the RNA isolation protocol. Enzymatic lysis through lysozyme digestion generated high-quality, high-yield RNA samples. Subsequent RNA-seq analysis resulted in qualitative data for both strains. The RNA extraction procedure is suitable for experiments with volume and/or biomass limitations, e.g., as encountered during space flight experiments. Furthermore, it will also result in higher RNA yields for whole transcriptome experiments where sample volume and/or biomass was increased to compensate the low-biomass characteristic of autotrophs.

Keywords

Microbiology; Space medicine; Space sciences; Transcriptomics.

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