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      Interactions Between Bacillus Spp., Pseudomonas Spp. and Cannabis sativa Promote Plant Growth

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          Abstract

          Plant growth-promoting rhizobacteria (PGPR) deploy several mechanisms to improve plant health, growth and yield. The aim of this study was to evaluate the efficacy of two Pseudomonas spp. strains and three Bacillus spp. strains used as single treatments and in consortia to improve the yield of Cannabis sativa and characterize the impact of these treatments on the diversity, structure and functions of the rhizosphere microbiome. Herein, we demonstrate a significant C. sativa yield increase up to 70% when inoculated with three different Pseudomonas spp./ Bacillus spp. consortia but not with single inoculation treatments. This growth-promoting effect was observed in two different commercial soil substrates commonly used to grow cannabis: Promix and Canna coco. Marker-based genomic analysis highlighted Bacillus spp. as the main modulator of the rhizosphere microbiome diversity and Pseudomonas spp. as being strongly associated with plant growth promotion. We describe an increase abundance of predicted PGPR metabolic pathways linked with growth-promoting interactions in C. sativa.

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          Most cited references80

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                20 September 2021
                2021
                : 12
                : 715758
                Affiliations
                [1] 1Department of Biology, University of Moncton , Moncton, NB, Canada
                [2] 2Research and Development Centre, Agriculture and Agri-Food Canada , Agassiz, BC, Canada
                [3] 3Department of Chemistry and Biochemistry, University of Moncton , Moncton, NB, Canada
                [4] 4Research and Development Centre, Agriculture and Agri-Food Canada , Saint-Jean-sur-Richelieu, QC, Canada
                Author notes

                Edited by: Fred Asiegbu, University of Helsinki, Finland

                Reviewed by: Stijn Spaepen, KU Leuven, Belgium; Naeem Khan, University of Florida, United States

                *Correspondence: Martin Filion, martin.filion@ 123456canada.ca

                This article was submitted to Microbe and Virus Interactions with Plants, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2021.715758
                8488376
                34616381
                9cd36631-d25a-43c0-a779-f05df08031b8
                Copyright © 2021 Comeau, Balthazar, Novinscak, Bouhamdani, Joly and Filion.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 May 2021
                : 24 August 2021
                Page count
                Figures: 7, Tables: 0, Equations: 0, References: 80, Pages: 15, Words: 8847
                Funding
                Funded by: collaborative Genome Canada/Atlantic Canada Opportunity Agency/New Brunswick Innovation Foundation
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                cannabis,plant growth promotion,rhizosphere,pseudomonas,bacillus
                Microbiology & Virology
                cannabis, plant growth promotion, rhizosphere, pseudomonas, bacillus

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