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Does plant diversity determine the diversity of the rhizosphere microbial community?
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Abstract
The rhizosphere community represents an “ecological interface” between plant and soil, providing the plant with a number of advantages. Close connection and mutual influence in this communication allow to talk about the self-adjusting “plant-rhizosphere community” system, which should be be studied in connection. Diversity estimation is one of the ways of describing both bacterial and plant communities. Based on the literature, there are two assumptions of how the diversity of plant communities related to the diversity of bacterial communities: 1) an increase in the species richness of plants leads to an increase in the number of available micro-niches, and increasing of microbial diversity, 2) an increase in the species richness of plants is accompanied by the predominant development of bacteria from highly productive specific taxa and decreasing in the diversity of microorganisms. Experimental studies show controversial results.
We analyzed field sites (rye crop field and two fallow sites), using DNA isolation of both the plant root mass (followed by sequencing of the ITS1 region) and rhizosphere microorganisms (followed by sequencing of the 16s rDNA V4 region). This allowed us to 1) accurately determine the abundance and taxonomic position of plant communities; 2) extract information about both plant and microbial communities from the same sample.
There was no correlation between alpha-diversity indices of plants and rhizosphere communities. Alpha-diversity connection should be explored in similar plant communities, such as synusia. We hypothesize, that the significant differences in plant abundances lead to significant changes in exudation profiles, and the loss of diversity connection. The beta-diversity between rhizosphere communities and plant communities is highly correlated, in particular in terms of the abundance of taxa. This can be explained by a potential correlation (as reported in the literature) or by the presence of statistical artifacts.
Title: Does plant diversity determine the diversity of the rhizosphere microbial community?
Description:
Abstract
The rhizosphere community represents an “ecological interface” between plant and soil, providing the plant with a number of advantages.
Close connection and mutual influence in this communication allow to talk about the self-adjusting “plant-rhizosphere community” system, which should be be studied in connection.
Diversity estimation is one of the ways of describing both bacterial and plant communities.
Based on the literature, there are two assumptions of how the diversity of plant communities related to the diversity of bacterial communities: 1) an increase in the species richness of plants leads to an increase in the number of available micro-niches, and increasing of microbial diversity, 2) an increase in the species richness of plants is accompanied by the predominant development of bacteria from highly productive specific taxa and decreasing in the diversity of microorganisms.
Experimental studies show controversial results.
We analyzed field sites (rye crop field and two fallow sites), using DNA isolation of both the plant root mass (followed by sequencing of the ITS1 region) and rhizosphere microorganisms (followed by sequencing of the 16s rDNA V4 region).
This allowed us to 1) accurately determine the abundance and taxonomic position of plant communities; 2) extract information about both plant and microbial communities from the same sample.
There was no correlation between alpha-diversity indices of plants and rhizosphere communities.
Alpha-diversity connection should be explored in similar plant communities, such as synusia.
We hypothesize, that the significant differences in plant abundances lead to significant changes in exudation profiles, and the loss of diversity connection.
The beta-diversity between rhizosphere communities and plant communities is highly correlated, in particular in terms of the abundance of taxa.
This can be explained by a potential correlation (as reported in the literature) or by the presence of statistical artifacts.
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