the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Differential responses of soil microbiomes to ureolytic biostimulation across depths in Aridisols
Abstract. Soil microbiomes are key regulators of biogeochemical cycles and possess essential roles in ecosystem functions, particularly in arid environments. One beneficial function of various edaphic microbes is the ability to participate in Microbial Induced Calcite Precipitation (MICP). MICP is a biomineralization process extensively investigated as a soil improvement technique for various purposes, including mitigation of drought-related soil degradation and erosion control. One aspect rarely addressed in MICP studies is the microbial heterogeneity of the ecosystem in which it is applied and its post-treatment consequences. In this study, we examined MICP biostimulation rates in an Aridisol, considering the microbial heterogeneity across different soil depths that are relevant to surface reinforcement applications (from the topsoil to 1 meter below the surface). Biostimulation was achieved by inducing ureolysis, one of the most studied metabolic pathways to stimulate MICP. We characterized the native microbial communities and their response to biostimulation across the depths under consideration using 16S sequencing. We found that ureolysis rates were affected by soil depth, with higher rates detected at the topsoil. Before biostimulation, the native soils were dominated by Actinobacteria and contained diverse communities. The microbial communities of the deeper soil layers were richer in Firmicutes, and the deepest layer was less diverse than the topsoil. Following biostimulation, alpha-diversity and microbial richness were drastically reduced at all depths, resulting in homogenized communities dominated by Firmicutes, although microbial DNA concentrations increased. A notable decrease was detected in autotrophs (e.g., Cyanobacteria, Chloroflexi), which are important for the formation and function of biocrusts and, hence, to the entire ecosystem. We also found that biostimulation induced a shift in the composition of the Firmicutes, where specific members of the Planococcaceae family became the most prevalent Firmicutes, instead of Paenibacillaceae and Bacillaceae, following stimulation. Our findings demonstrate that environmental heterogeneity across soil depth is an influential variable affecting ureolytic biostimulation. In turn, biostimulation affects microbial diversity consistently, regardless of preexisting differences resulting from spatial heterogeneity. Our findings show that although feasible, implementing biostimulated MICP in arid environments induces a strong selective pressure with negative consequences for the native edaphic microbiomes.
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RC1: 'Comment on egusphere-2024-1663', Anonymous Referee #1, 27 Sep 2024
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General points / major revisions
In their manuscript, Abramov et al studied the process of Microbial Induced Calcite Precipitation (MICP) in arid soils stimulated by the addition of urea. Their main aims were to characterize the native microbial community and their ureolytic efficiency and study the effect of the biostimulation (urea addition) on microbial diversity. Due to the expected heterogeneity in soil microbial community, they collected samples from three different sites and three different depths (surface, 50 cm and 100 cm). They estimated ureolysis rate by periodic measuring of the urea concentration and used it as the proxy for the MICP potential.
As I got familiar with the MICP topic, I found the method exciting and was particularly impressed by its promising application in ground improvement. I was intrigued by the author’s novel attempt to characterize native soil community and the impact that the MICP-stimulating urea would have on it.
The writing of the manuscript was generally fluent and precise, and the related work was to my knowledge properly credited and referenced. The abstract provided a concise summary of the manuscript. The title, however, gave me a wrong expectation of the scientific approach, which I elaborate on further below. I found methodology not entirely clearly outlined, which I write about in more details in Minor remarks. Some figures could be enhanced or clarified, which I also mention in more details in Minor remarks.
A major weakness of this manuscript is, in my opinion, the experimental setup, which I find flawed in aspects described below:
- The authors aim to compare the non-biostimulated and biostimulated native soil microbial communities. I therefore expected the authors to have administered a low volume of urea-containing solution on soil and compared the microbial community before and after the application. However, as described in the manuscript, the authors actually compared native soil microbial community to a soil slurry they generated by suspending 10 g of (arid) soil in 100 mL of urea medium for 20 days. As expected, exposing the microbial community from arid, nutrient-poor soil to water and high concentrations of urea (and other nutrients contained in the yeast extract) resulted in a completely different community. This outcome can, however, no longer be ascribed to single effect (urea), but is instead very likely the result of overall drastically changed environmental conditions. This flaw in the experimental design is not mentioned in the manuscript.
- This experimental setup leads to several flawed conclusions. As the native microbiome is subjected to drastically different incubation conditions, the alpha diversity of the microbial community declines. Even though it cannot be ascribed solely to urea addition, the authors clearly relate this decline to biostimulation and make it an important point both in the discussion and in the conclusions.
- Another flawed conclusion concerns the characterization of ureolysis-related environmental changes. The outcome of the biostimulation experiment is a drastic increase of pH. In the discussion, the authors suggest a similarity between the measured increase in pH in soil slurry and potential pH increase in MICP-treated soil pore fluids. I find the conditions in the described soil slurry incomparable to conditions, geochemical properties and natural buffering capacities of soil. Due to this reason, I consider drawing parallels between the two systems inappropriate.
- Throughout the manuscript, I found no mention of a control treatment. If the authors choose to drastically change the environment of the soil microbiome by generating a soil slurry, I suggest adding a treatment in form of a soil slurry where urea is omitted from the nutrient medium. By comparing the control treatment to the native soil, the authors could disentangle the influence of incubation conditions compared to the influence of urea on the native community.
Due to described concerns, I consider the author’s approach not appropriate to support the interpretation and conclusions.
Minor remarks:
Introduction
59 – Is the citation on the importance of cyanobacteria a bit too general? The reference is a book titled “Biological soil crusts: structure, function and management” from 2003. Wouldn’t it be better to find a source which directly claims that cyanobacteria (and not for example lichens or algae) constitute a key group in arid biocrusts? According to descriptions in “What is a biocrust? …”, in hyperarid regions, biocrusts consist of cyanobacteria and / or algae, while in arid regions, they are generally dominated by cyanobacteria or lichens, with patches of bryophytes commonly found in wetter microsites. In the manuscript, there is a strong accent on cyanobacteria – why is the significance of algae or lichens not discussed? Is it because they cannot be characterized by 16S sequencing? A photograph of sampling area, where studied biocrust are visible, would be helpful as part of the Supplementary Data.
67 – typographic error; I assume the authors meant “drought” (a shortage of rainfall) and not “draught” (a cold burst of wind).
86 – one of the references for archaea becoming more abundant in deeper soil horizons may not apply; from my understanding, the paper by Sokol et al. 2022 is nowhere stating that archaea are more abundant in deeper soil horizons.
Materials and Methods
122 – from this sentence, it seems like biostimulation experiments were only performed on soils from 3rd site. The 3rd, disturbed site is not clearly described – how was it disturbed? Were upper soil layers placed on the bottom and vice-versa? A photo in Supplementary Data would also be helpful.
123 – “disturbance approximately 20 before this study” – I guess 20 years?
125 – I am guessing that overall, 12 samples representing Negev soil mean only Site 1 and Site 2, because the math otherwise does not add up (3 sites x 3 depths x 2 replicates = 18 sites; 2 sites x 3 depths x 2 replicates = 12 sites).
138 – here it seems again like only samples from Site 1 and Site 2 were biostimulated, as the number of biostimulated samples is 12? Then how come the biostimulation effect is later also described for the 3rd, disturbed site?
150 – If possible, I would advise not to use NanoDrop spectrophotometers for DNA extracted from environmental samples; a fluorimetry-based assay, such as Qubit, is more reliable for measuring DNA concentration. Spectrophotometry-based quantification is often reported to overestimate DNA concentrations and is strongly influenced by other proteins and contaminants, which would in case of DNA extracted from soil include humic acids.
152 – I would expect more details for the library preparation: which exact region of the 16S rRNA gene was amplified, which primers were used (including references where primer design is described), how long was the expected PCR product, details about the PCR program (steps, temperatures, number of cycles).
Results and discussion
213 (figure 1) – the green and blue line look very similar; it’s sometimes hard to distinguish between them.
227 (figure 2) – in this figure, there are samples which strongly separate on the PC1 axis from the rest of the samples (these are on the left side) – I think a reader would like to know what are these samples. The colors are very similar, especially in case of the PCA graph, it’s hard to spot the difference under certain light conditions.
305 (figure 5) – the colors close on the spectrum are very similar; it’s very hard to see on the graphs which colors correspond to which taxa.
451 – there is an error in the reference; ;Asce, S.M and Asce, M. are not author names.
Citation: https://doi.org/10.5194/egusphere-2024-1663-RC1 -
AC1: 'Comment on egusphere-2024-1663: reply to reviewer 1', Kesem Abramov, 14 Jan 2025
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Dear reviewer,
Thank you for your thorough and constructive review. We appreciate the careful attention you have given to our manuscript, especially in highlighting limitations that deserve clarification.
Based on your comments, we recognize that some of our conclusions may appear somewhat ambitious. We have revised the manuscript to present our findings more cautiously, providing more adequate background on prior MICP experiments that led to our methodological choices.
Accordingly, we have refined our conclusions to better reflect the experiment's scope, adding appropriate reservations. We believe that the main findings from this study should be considered in future MICP research due to the potential impacts on microbial diversity. In light of your feedback, we have adjusted the manuscript as described in the supplement.
All the best,
Kesem
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