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. 2022 May 6:13:852513.
doi: 10.3389/fpls.2022.852513. eCollection 2022.

Biotechnological Combination for Co-contaminated Soil Remediation: Focus on Tripartite "Meta-Enzymatic" Activity

Affiliations

Biotechnological Combination for Co-contaminated Soil Remediation: Focus on Tripartite "Meta-Enzymatic" Activity

Maria Tartaglia et al. Front Plant Sci. .

Abstract

Soil pollution is a pressing problem requiring solutions that can be applied without large-scale side effects directly in the field. Phytoremediation is an effective strategy combining plant and root-associated microbiome to immobilize, degrade, and adsorb pollutants from the soil. To improve phytoremediation, it is necessary to think of plants, fungi, and bacteria not as individual entities, but as a meta-organism that reacts organically, synergistically, and cooperatively to environmental stimuli. Analyzing the tripartite enzymatic activity in the rhizosphere is necessary to understand the mechanisms underlying plant-microorganism communication under abiotic stress (such as soil pollution). In this work, the potential of a microbial consortium along with a plant already known for its phytoremediation capabilities, Schedonorus arundinaceus (Scheb.) Dumort., was validated in a mesocosm experiment with pluricontaminated soil (heavy metals, PAHs, and PCBs). Chemical analyses of the soil at the beginning and end of the experiment confirmed the reduction of the main pollutants. The microscopic observation and chemical analyses confirmed the greater root colonization and pollutant removal following the microbial treatment. To obtain a taxonomic and functional picture, tripartite (plant, fungi, and bacteria) enzyme activity was assessed using a metatranscriptomic approach. Total RNA was extracted from a sample of rhizosphere sampled considering 2 centimeters of root and soil attached. From the total reads obtained, mRNAs were filtered, and analysis focused on reads identified as proteins with enzymatic activity. The differential analysis of transcripts identified as enzymes showed that a general increase in potential enzyme activity was observed in the rhizosphere after our biotechnological treatment. Also from a taxonomic perspective, an increase in the activity of some Phyla, such as Actinobacteria and Basidiomycota, was found in the treated sample compared to the control. An increased abundance of enzymes involved in rhizospheric activities and pollutant removal (such as dehydrogenase, urease, and laccase) was found in the treated sample compared to the control at the end of the experiment. Several enzymes expressed by the plant confirmed the increase in metabolic activity and architectural rearrangement of the root following the enhancement of the rhizospheric biome. The study provides new outcomes useful in rhizosphere engineering advancement.

Keywords: Schedonorus arundinaceus; metaorganism; phytoremediation; rhizosphere; soil enzymatic activity; soil transcriptomics.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Experimental design.
Figure 2
Figure 2
Optic microscopic captions showing different colonization rate in our control A4R1 (A,C) and in treated samples A2R3 (B,D) at the end of the experiment. R3 treatment induces the development of a wide net of hyphes (h), arbuscules (a), and vescicules (v) that colonize fine S. arundinaceus roots developing mutual symbiosis for nutrient exchange between plant and mycorrhizal fungi.
Figure 3
Figure 3
The bars represent the number of differentially expressed transcripts recognized as enzymes identified in the two treatments A4R1 and A2R3, subdivided according to their Phylum.
Figure 4
Figure 4
Enzymes up-regulated in A4R1 (tot 9,522) and A2R3 (15,567) subdivided according to their enzyme class (EC1—oxidoreductase, EC2—transferase, EC3—hydrolase, EC4—lyiasis, EC5—isomerase, EC6—ligase, EC7—translocase). For each class, the % of the main Phyla expressing the enzymes are displayed.
Figure 5
Figure 5
Enzyme overexpression profile. Bubble plot showing the identified enzymes profile in the two sample (A4R1 and A2R3). Data refer to the overexpressed (at least 5 logFC) enzymes of interest. The plot shows the enzyme class (EC) and the average logFC. Enzymes were categorized according to taxonomy (different colors indicate the Taxonomic Phyla) and abundance (different sizes represent the number of identified enzymes belonging to each EC).

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