Soil Metatranscriptomics: An Improved RNA Extraction Method Toward Functional Analysis Using Nanopore Direct RNA Sequencing

Author:

Poursalavati Abdonaser12,Javaran Vahid J.12,Laforest-Lapointe Isabelle2ORCID,Fall Mamadou L.1ORCID

Affiliation:

1. Saint-Jean-sur-Richelieu Research and Development Centre, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, QC J3B 3E6, Canada

2. Département de Biologie, Centre SÈVE, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada

Abstract

Soil microbes play an undeniable role in sustainable agriculture, plant health, and soil management. A deeper understanding of soil microbial composition and function has been gained through next-generation sequencing. Although soil metagenomics has provided valuable information about microbial diversity, issues stemming from RNA extraction, low RNA abundance in some microbial populations (e.g., viruses), and messenger RNA enrichment have slowed the progress of soil metatranscriptomics. A variety of soil RNA extraction methods have been developed thus far yet none of the available protocols can obtain RNA with high quality, purity, and yield for third-generation sequencing. The latter requires RNA with high quality and large quantities (with no or low contamination such as humic acids). Also, use of commercial kits for in-batch soil RNA extraction is quite expensive, and these commercial kits lack buffer composition details, which prevents the optimization of protocols for different soil types. An improved and cost-effective method for extracting RNAs from mineral and organic soils is presented in this article. An acidic sodium acetate buffer and phosphate buffer with modifications to bead beating and nucleic acid precipitation lead to higher RNA yields and quality. Using this method, we obtained almost DNA-free RNA. By using nanopore's direct RNA sequencing, the extracted contamination-free RNAs were successfully sequenced. Finally, taxonomic groups such as bacteria, fungi, archaea, and viruses were classified and profiled, and functional annotation of the datasets was carried out using an in-house customized bioinformatics workflow.

Funder

Agriculture and Agri-Food Canada

Publisher

Scientific Societies

Subject

Plant Science,Agronomy and Crop Science,Molecular Biology,Ecology,Ecology, Evolution, Behavior and Systematics

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