The shifts in the structure of the prokaryotic community of mountain-grassland soil under the influence of artificial larch plantations

PLoS One. 2022 Feb 18;17(2):e0263135. doi: 10.1371/journal.pone.0263135. eCollection 2022.

Abstract

Creation of artificial forest plantations on a global scale is one of the ways to mitigate the negative effects of climate change on ecosystems, at the same time providing soil protection from erosion, regulation of the hydrological regime and carbon sequestration in soils of different natural and climatic zones. However, the change of the dominant plant community cause significant ecosystem changes, reflecting at the structure and functioning of the soil microbial complex as well. The shifts in prokaryotic community of the meadow soil resulting from the conversion of the native meadow (further grassland) phytocenosis to the artificial forest plantations was investigated with the use of NGS sequencing technology and metabarcoding approach-amplicon sequencing of V4 region of 16 S rRNA (performed on Illumina Miseq platform). The identified shifts in taxonomic structure and diversity may be the result of changes in the physic-chemical conditions of soils and, on the other hand, may serve as indicators of such changes. Cultivation of larch led to an increase in the diversity of the prokaryotic community and its stratification by depth. The acidifying effect of larch manifested itself in an increase in the proportion and diversity of acidobacteria, in the abundance of oligotrophic microorganisms of phyla Chloroflexi, Firmicutes, and a simultaneous comparative decrease in the bacteria of Verrucomicrobia phylum, alphaproteobacteria of or. Rhizobiales and Burkholderiales. The absence of clearly expressed dominants in the prokaryotic community, as well as a significant increase in alpha-diversity indices, compared with the control plot of native mountain-meadow soil under grassland vegetation, suggests a transitional nature of the soil ecosystem of artificial forest plantations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacteria / classification*
  • Bacteria / genetics*
  • Forests*
  • Grassland*
  • High-Throughput Nucleotide Sequencing / methods
  • Larix / growth & development*
  • Phylogeny
  • RNA, Ribosomal, 16S / genetics
  • Soil / chemistry
  • Soil Microbiology*

Substances

  • RNA, Ribosomal, 16S
  • Soil

Grants and funding

Russian Science Foundation, grant number 17-16-01030. The grant holder(AE2) participated in the study design, data collection and decision to publish.