Agricultural Crops Grown in Laboratory Conditions on Chernevaya Taiga Soil Demonstrate Unique Composition of the Rhizosphere Microbiota.

Chernevaya taiga Retisol Umbrisol metagenomics plant gigantism plant growth promoting rhizobacteria (PGPR) rhizosphere microbiome

Journal

Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893

Informations de publication

Date de publication:
31 Oct 2022
Historique:
received: 27 09 2022
revised: 20 10 2022
accepted: 29 10 2022
entrez: 11 11 2022
pubmed: 12 11 2022
medline: 12 11 2022
Statut: epublish

Résumé

Chernevaya taiga in West Siberia is a unique environment, with gigantism of grasses and shrubs. Exceptionally high productivity of plants is determined by the synergistic interaction of various factors, with a special role belonging to microorganisms colonizing the plant roots. This research explored whether agricultural plants can recruit specific microorganisms from within virgin Chernevaya Umbrisol and thus increase their productivity. Radish and wheat plants were grown on the Umbrisol (T1) and control Retisol of Scotch pine forest stand (T3) soils in the phytotron, and then a bacterial community analysis of the rhizosphere was performed using high-throughput sequencing of the 16S rRNA genes. In laboratory experiments, the plant physiological parameters were significantly higher when growing on the Umbrisol as compared to the Retisol. Bacterial diversity in T1 soil was considerably higher than in the control sample, and the principal coordinate analysis demonstrated apparent differences in the bacterial communities associated with the plants. Agricultural plants growing in the T1 soil form specific prokaryotic communities, with dominant genera

Identifiants

pubmed: 36363763
pii: microorganisms10112171
doi: 10.3390/microorganisms10112171
pmc: PMC9695958
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Russian Science Foundation
ID : 19-16-00049
Organisme : Ministry of Science and Higher Education of the Russian Federation
ID : FFEN-2022-0022

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Auteurs

Irina Kravchenko (I)

Winogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.

Mikhail Rayko (M)

Center for Bioinformatics and Algorithmic Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia.

Ekaterina Tikhonova (E)

Winogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.

Aleksey Konopkin (A)

Winogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.

Evgeny Abakumov (E)

Department of Applied Ecology, Faculty of Biology, St. Petersburg State University, 16th Liniya V.O., 29, 199178 St. Petersburg, Russia.

Alla Lapidus (A)

Center for Bioinformatics and Algorithmic Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia.

Classifications MeSH