Comparative Analysis of Microbial Communities of Contrasting Soil Types in Different Plant Communities

E. A. Ivanova, E. V. Pershina, O. V. Kutovaya, N. Kh Sergalieva, A. G. Nagieva, A. T. Zhiengaliev, N. A. Provorov, E. E. Andronov

Research output

1 Citation (Scopus)

Abstract

Microbiomes were analyzed in samples of the major soil types of Russia and Western Kazakhstan region from different plant communities (fallow, forest, agrophytocenosis). The representatives of 42 bacterial and 2 archaeal phyla were identified in the samples, among which the dominant positions were occupied by representatives of ten phyla: nine bacterial (Actinobacteria (33.5%), Proteobacteria (28.4%), Acidobacteria (8.3%), Verrucomicrobia (7.7%), Bacteroidetes (4.2%), Chloroflexi (3.0%), Gemmatimonadetes (2.3%), Firmicutes (2.1%), Planctomycetes (2.0%)) and one archaeal Crenarchaeota (2.6%). Data analysis by the methods of multivariate statistics suggests that the taxonomic structure of microbiota is formed under the action of two main factors: the strongest factor is soil acidity, which determines the dynamics of the microbiome at the level of major taxa such as phylum, and the weaker factor is the type of vegetation, which determines the community structure at lower taxonomic level (order, family, genus). Detailed analysis of the samples of podzolic soil in Leningrad Region made it possible to identify bacterial taxa specifically associated both with the type of biome (fallow, forest, agrophytocenosis) and with the specific plant community (specific composition of plant synusia).

Original languageEnglish
Pages (from-to)30-39
Number of pages10
JournalRussian Journal of Ecology
Volume49
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

fallow
microbial communities
soil type
microbial community
plant community
plant communities
soil types
biome
Crenarchaeota
Acidobacteria
acidity
community structure
Kazakhstan
Firmicutes
soil
botanical composition
Actinobacteria
Proteobacteria
vegetation types
multivariate analysis

Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

Cite this

Ivanova, E. A. ; Pershina, E. V. ; Kutovaya, O. V. ; Sergalieva, N. Kh ; Nagieva, A. G. ; Zhiengaliev, A. T. ; Provorov, N. A. ; Andronov, E. E. / Comparative Analysis of Microbial Communities of Contrasting Soil Types in Different Plant Communities. In: Russian Journal of Ecology. 2018 ; Vol. 49, No. 1. pp. 30-39.
@article{8ea07277896145cc990ef1ba231cd15b,
title = "Comparative Analysis of Microbial Communities of Contrasting Soil Types in Different Plant Communities",
abstract = "Microbiomes were analyzed in samples of the major soil types of Russia and Western Kazakhstan region from different plant communities (fallow, forest, agrophytocenosis). The representatives of 42 bacterial and 2 archaeal phyla were identified in the samples, among which the dominant positions were occupied by representatives of ten phyla: nine bacterial (Actinobacteria (33.5{\%}), Proteobacteria (28.4{\%}), Acidobacteria (8.3{\%}), Verrucomicrobia (7.7{\%}), Bacteroidetes (4.2{\%}), Chloroflexi (3.0{\%}), Gemmatimonadetes (2.3{\%}), Firmicutes (2.1{\%}), Planctomycetes (2.0{\%})) and one archaeal Crenarchaeota (2.6{\%}). Data analysis by the methods of multivariate statistics suggests that the taxonomic structure of microbiota is formed under the action of two main factors: the strongest factor is soil acidity, which determines the dynamics of the microbiome at the level of major taxa such as phylum, and the weaker factor is the type of vegetation, which determines the community structure at lower taxonomic level (order, family, genus). Detailed analysis of the samples of podzolic soil in Leningrad Region made it possible to identify bacterial taxa specifically associated both with the type of biome (fallow, forest, agrophytocenosis) and with the specific plant community (specific composition of plant synusia).",
keywords = "high-throughput sequencing, soil microbiome, synusiae",
author = "Ivanova, {E. A.} and Pershina, {E. V.} and Kutovaya, {O. V.} and Sergalieva, {N. Kh} and Nagieva, {A. G.} and Zhiengaliev, {A. T.} and Provorov, {N. A.} and Andronov, {E. E.}",
year = "2018",
month = "1",
day = "1",
doi = "10.1134/S106741361801006X",
language = "English",
volume = "49",
pages = "30--39",
journal = "Russian Journal of Ecology",
issn = "1067-4136",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "1",

}

Comparative Analysis of Microbial Communities of Contrasting Soil Types in Different Plant Communities. / Ivanova, E. A.; Pershina, E. V.; Kutovaya, O. V.; Sergalieva, N. Kh; Nagieva, A. G.; Zhiengaliev, A. T.; Provorov, N. A.; Andronov, E. E.

In: Russian Journal of Ecology, Vol. 49, No. 1, 01.01.2018, p. 30-39.

Research output

TY - JOUR

T1 - Comparative Analysis of Microbial Communities of Contrasting Soil Types in Different Plant Communities

AU - Ivanova, E. A.

AU - Pershina, E. V.

AU - Kutovaya, O. V.

AU - Sergalieva, N. Kh

AU - Nagieva, A. G.

AU - Zhiengaliev, A. T.

AU - Provorov, N. A.

AU - Andronov, E. E.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Microbiomes were analyzed in samples of the major soil types of Russia and Western Kazakhstan region from different plant communities (fallow, forest, agrophytocenosis). The representatives of 42 bacterial and 2 archaeal phyla were identified in the samples, among which the dominant positions were occupied by representatives of ten phyla: nine bacterial (Actinobacteria (33.5%), Proteobacteria (28.4%), Acidobacteria (8.3%), Verrucomicrobia (7.7%), Bacteroidetes (4.2%), Chloroflexi (3.0%), Gemmatimonadetes (2.3%), Firmicutes (2.1%), Planctomycetes (2.0%)) and one archaeal Crenarchaeota (2.6%). Data analysis by the methods of multivariate statistics suggests that the taxonomic structure of microbiota is formed under the action of two main factors: the strongest factor is soil acidity, which determines the dynamics of the microbiome at the level of major taxa such as phylum, and the weaker factor is the type of vegetation, which determines the community structure at lower taxonomic level (order, family, genus). Detailed analysis of the samples of podzolic soil in Leningrad Region made it possible to identify bacterial taxa specifically associated both with the type of biome (fallow, forest, agrophytocenosis) and with the specific plant community (specific composition of plant synusia).

AB - Microbiomes were analyzed in samples of the major soil types of Russia and Western Kazakhstan region from different plant communities (fallow, forest, agrophytocenosis). The representatives of 42 bacterial and 2 archaeal phyla were identified in the samples, among which the dominant positions were occupied by representatives of ten phyla: nine bacterial (Actinobacteria (33.5%), Proteobacteria (28.4%), Acidobacteria (8.3%), Verrucomicrobia (7.7%), Bacteroidetes (4.2%), Chloroflexi (3.0%), Gemmatimonadetes (2.3%), Firmicutes (2.1%), Planctomycetes (2.0%)) and one archaeal Crenarchaeota (2.6%). Data analysis by the methods of multivariate statistics suggests that the taxonomic structure of microbiota is formed under the action of two main factors: the strongest factor is soil acidity, which determines the dynamics of the microbiome at the level of major taxa such as phylum, and the weaker factor is the type of vegetation, which determines the community structure at lower taxonomic level (order, family, genus). Detailed analysis of the samples of podzolic soil in Leningrad Region made it possible to identify bacterial taxa specifically associated both with the type of biome (fallow, forest, agrophytocenosis) and with the specific plant community (specific composition of plant synusia).

KW - high-throughput sequencing

KW - soil microbiome

KW - synusiae

UR - http://www.scopus.com/inward/record.url?scp=85044587864&partnerID=8YFLogxK

U2 - 10.1134/S106741361801006X

DO - 10.1134/S106741361801006X

M3 - Article

AN - SCOPUS:85044587864

VL - 49

SP - 30

EP - 39

JO - Russian Journal of Ecology

JF - Russian Journal of Ecology

SN - 1067-4136

IS - 1

ER -