Soil Compartments Research Articles

Biomonitoring of PAHs and PCBs in industrial, suburban, and rural areas using snails as sentinel organisms.

There is a worldwide concern about the presence of persistent organic pollutants (POPs) in the environment because of their toxicity, bioaccumulation, and resistance to degradation. Various conventional monitoring techniques have been used to assess their presence in diverse environmental compartments. Most currently available methods, however, have limitations with regards to long-term monitoring. In the present work, juvenile Cornu aspersum (O. F. Müller, 1774) snails were tested in field microcosms as biomonitors for two major classes of organic pollutants, namely, polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs). The study assessed their deployment in one suburban, one rural, and two industrial sites over an 18-week period and monitored for temporal variations of 16 PAHs and 22 PCBs. Sampling was conducted once every 3weeks. Targeted pollutants were extracted from the caged snails using the QuEChERS extraction procedure and subsequently analyzed using gas chromatography coupled to tandem mass spectrometry (GC-MS/MS). The results showed that the bioaccumulation of specific pollutants was site dependent; significantly higher levels of PCBs were observed at the industrial sites as compared to the suburban and rural ones. PAHs were bioaccumulated by the snails via ingestion of air and soil whereas PCBs were mainly bioaccumulated via soil contact and ingestion. The findings of this study indicate that C. aspersum is a reliable model organism for the biomonitoring of organic pollutants in air and soil compartments and can be used as part of an integrated environmental assessment.

Revealing human impact on natural ecosystems through soil bacterial DNA sampled from an archaeological site.

Human activities have affected the surrounding natural ecosystems, including belowground microorganisms, for millennia. Their short- and medium-term effects on the diversity and the composition of soil microbial communities are well-documented, but their lasting effects remain unknown. When unoccupied for centuries, archaeological sites are appropriate for studying the long-term effects of past human occupancy on natural ecosystems, including the soil compartment. In this work, the soil chemical and bacterial compositions were compared between the Roman fort of Hegra (Saudi Arabia) abandoned for 1500 years, and a preserved area located at 120 m of the southern wall of the Roman fort where no human occupancy was detected. We show that the four centuries of human occupancy have deeply and lastingly modified both the soil chemical and bacterial compositions inside the Roman fort. We also highlight different bacterial putative functions between the two areas, notably associated with human occupancy. Finally, this work shows that the use of soils from archaeological sites causes little disruption and can bring relevant information, at a large scale, during the initial surveys of archaeological sites.

Improving evapotranspiration computation with electrical resistivity tomography in a maize field

AbstractHydrogeophysical methods have been increasingly used to study subsurface soil–water dynamics, yet their application beyond the soil compartment or the quantitative link to soil hydraulic properties remains limited. To examine how these methods can inform model‐based evapotranspiration (ET) calculation under varying soil water conditions, we conducted a pilot‐scale field study at an experimental maize plot with manipulated irrigation treatments. Our goal was to develop a workflow for (1) acquiring and inverting field electrical resistivity tomography (ERT) data, (2) correlating ERT to soil hydraulic properties, (3) spatially characterizing soil water stress that feeds into ET modeling (the FAO‐56 model), and (4) evaluating the performance of ERT‐based ET computation. Our results showed that ERT was able to capture decimeter‐scale soil water content (SWC) dynamics from root water uptake and irrigation manipulation and the contrast of soil water stress between deficiently and fully irrigated maize. We also demonstrated the flexibility of using ERT to spatially integrate soil water stress in the soil volume of interest, which could be adjusted based on different crops and plot layouts. The integration of the ERT datasets into ET modeling provided insights into the spatial heterogeneity of the subsurface that has been challenging for point‐based sensing, which can further our understanding of the hydraulic dynamics in the soil‐plant‐atmosphere continuum.

Perceived Influence of Agricultural Extension on Cassava Production by the Farmers in Southern Nigeria

Background: This study assessed the perceived influence of agricultural extension on cassava production in southern Nigeria. Specifically, the study sought to; ascertain the socio-economic characteristics of the respondents, identify the perceived influence of agricultural extension on cassava production in the study area and constraints in the production of cassava by farmers in the study area. Methods: The study adopted a multi-stage sampling technique. Stage one was a purposive selection of municipalities in Southern Nigeria due to its endowment with cassava production. Stage two involved a random selection of five (5) municipalities in Southern Nigeria namely; Uyo, Calabar, Umuahia, Abakaliki and Owerri. Stage three equally involved a random selected of twenty (20) respondents from each of the municipals, giving a total of hundred (100) respondents used for the study. Data were obtained from primary sources using structured interview schedule. Objectives were analysed using descriptive statistics such as; percentage, frequency, mean, rank and standard deviation. Result: The result on the house hold size showed that 39% had between 6-10 persons, while 27% had 11-15 persons, 21% had 1-5 persons. Also 13% had 16 and above number of persons. The result also revealed that the respondents observed help in reducing soil compartment, training of farmers on pest/disease control, production practices, processing and marketing with mean scores of = 2.43, = 2.27, = 1.92, = 1.86 and =1.69 respectively; as perceived influence of extension on cassava production. This implied that extension workers had no significant influence on cassava production in the study area, this may be attributed to inadequate funding of extension services in Nigeria. Majority (60%) believed that language barrier and unfavourable attitude of farmers with mean of = 2.43 and = 2.42 respectively were the constraints of agricultural extension workers in enhancing cassava production in the study area. This implied that influence of extension agents in the area may not be significant. This may be due to ineffectiveness of extension services in Nigeria. the study concluded that, rural farmers need to be involved in the mainstream of extension services in order to identify and prioritize their production activities. The study therefore, recommended that agricultural extension workers should be involved in all areas of agricultural production and not on cassava production alone, so as to improve on the gross domestic production of the nation.

Short- and long-term plant and microbial uptake of 15N-labelled urea in a mesic tundra heath, West Greenland

Terrestrial animals are key elements in the cycling of elements in the Arctic where nutrient availability is low. Waste production by herbivores, in particular urine deposition, has a crucial role for nitrogen (N) recycling, still, it remains largely unexplored. Also, experimental evidence is biased toward short-term studies and Arctic regions under high herbivore pressure. In this study, we aimed to examine the fate of N derived from urine in a nutrient poor tundra heath in West Greenland, with historical low level of herbivory. We performed a pulse labelling with 15N-urea over the plant canopy and explored ecosystem N partition and retention in the short-term (2 weeks and 1 year) and longer-term (5 years). We found that all vascular plants, irrespective of their traits, could rapidly take up N-urea, but mosses and lichens were even more efficient. Total 15N enrichment was severely reduced for all plants 5 years after tracer addition, with the exception of cryptogams, indicating that non-vascular plants constituted a long-term sink of 15N-urea. The 15N recovery was also high in the litter suggesting high N immobilization in this layer, potentially delaying the nutrients from urine entering the soil compartment. Long-term 15N recovery in soil microbial biomass was minimal, but as much as 30% of added 15N remained in the non-microbial fraction after 5 years. Our results demonstrate that tundra plants that have evolved under low herbivory pressure are well adapted to quickly take advantage of labile urea, with urine having only a transient effect on soil nutrient availability.

Soil microbiome analysis reveals effects of periodic waterlogging stress on sugarcane growth.

Sugarcane is one of the major agricultural crops with high economic importance in Thailand. Periodic waterlogging has a long-term negative effect on sugarcane development, soil properties, and microbial diversity, impacting overall sugarcane production. Yet, the microbial structure in periodically waterlogged sugarcane fields across soil compartments and growth stages in Thailand has not been documented. This study investigated soil and rhizosphere microbial communities in a periodic waterlogged field in comparison with a normal field in a sugarcane plantation in Ratchaburi, Thailand, using 16S rRNA and ITS amplicon sequencing. Alpha diversity analysis revealed comparable values in periodic waterlogged and normal fields across all growth stages, while beta diversity analysis highlighted distinct microbial community profiles in both fields throughout the growth stages. In the periodic waterlogged field, the relative abundance of Chloroflexi, Actinobacteria, and Basidiomycota increased, while Acidobacteria and Ascomycota decreased. Beneficial microbes such as Arthrobacter, Azoarcus, Bacillus, Paenibacillus, Pseudomonas, and Streptomyces thrived in the normal field, potentially serving as biomarkers for favorable soil conditions. Conversely, phytopathogens and growth-inhibiting bacteria were prevalent in the periodic waterlogged field, indicating unfavorable conditions. The co-occurrence network in rhizosphere of the normal field had the highest complexity, implying increased sharing of resources among microorganisms and enhanced soil biological fertility. Altogether, this study demonstrated that the periodic waterlogged field had a long-term negative effect on the soil microbial community which is a key determining factor of sugarcane growth.

Vulnerability Study by DRASTIC Method for Eocene and Turonian Aquifers in the Tadla Plain

In numerous regions across Morocco, groundwater quality has undergone a significant decline in recent years, primarily due to factors such as agricultural expansion, improper solid waste disposal, and industrialization. This study presents an analysis of the vulnerability of two primary shallow aquifers, namely the Turonian and Eocene. The vulnerability assessment entails the evaluation of the aquifers' susceptibility to various forms of surface pollution, based on the physical characteristics of their surroundings. Within the Moroccan context, the DRASTIC method, integrated with Geographic Information Systems (GIS), emerges as the most suitable approach. This method involves the processing and analysis of seven factors pertaining to the three soil compartments, encompassing land cover, the unsaturated zone, and the saturated zone. Each chosen parameter is assigned a weight, reflecting its significance concerning groundwater protection. Notably, the water table's depth and the nature of the vadose zone exert the most substantial influence, followed by factors like recharge. Conversely, topography exhibits minimal impact, with soil type following suit. Lastly, the nature of the aquifer medium and its conductivity carry a moderate degree of influence. Each parameter is further categorized into classes, each defined by a specific rating. To derive an all-encompassing measure of vulnerability, the weights and scores of these various factors are synthesized through an additive model, yielding the comprehensive "DRASTIC Index." Subsequently, this index is employed to assess the intrinsic vulnerability level of the Turonian and Eocene aquifers by superimposing the seven index maps.

Terpenes modulate bacterial and fungal growth and sorghum rhizobiome communities.

Terpenes are among the oldest and largest class of plant-specialized bioproducts that are known to affect plant development, adaptation, and biological interactions. While their biosynthesis, evolution, and function in aboveground interactions with insects and individual microbial species are well studied, how different terpenes impact plant microbiomes belowground is much less understood. Here we designed an experiment to assess how belowground exogenous applications of monoterpenes (1,8-cineole and linalool) and a sesquiterpene (nerolidol) delivered through an artificial root system impacted its belowground bacterial and fungal microbiome. We found that the terpene applications had significant and variable impacts on bacterial and fungal communities, depending on terpene class and concentration; however, these impacts were localized to the artificial root system and the fungal rhizosphere. We complemented this experiment with pure culture bioassays on responsive bacteria and fungi isolated from the sorghum rhizobiome. Overall, higher concentrations (200 µM) of nerolidol were inhibitory to Ferrovibrium and tested Firmicutes. While fungal isolates of Penicillium and Periconia were also more inhibited by higher concentrations (200 µM) of nerolidol, Clonostachys was enhanced at this higher level and together with Humicola was inhibited by the lower concentration tested (100 µM). On the other hand, 1,8-cineole had an inhibitory effect on Orbilia at both tested concentrations but had a promotive effect at 100 µM on Penicillium and Periconia. Similarly, linalool at 100 µM had significant growth promotion in Mortierella, but an inhibitory effect for Orbilia. Together, these results highlight the variable direct effects of terpenes on single microbial isolates and demonstrate the complexity of microbe-terpene interactions in the rhizobiome. IMPORTANCE Terpenes represent one of the largest and oldest classes of plant-specialized metabolism, but their role in the belowground microbiome is poorly understood. Here, we used a "rhizobox" mesocosm experimental set-up to supply different concentrations and classes of terpenes into the soil compartment with growing sorghum for 1 month to assess how these terpenes affect sorghum bacterial and fungal rhizobiome communities. Changes in bacterial and fungal communities between treatments belowground were characterized, followed by bioassays screening on bacterial and fungal isolates from the sorghum rhizosphere against terpenes to validate direct microbial responses. We found that microbial growth stimulatory and inhibitory effects were localized, terpene specific, dose dependent, and transient in time. This work paves the way for engineering terpene metabolisms in plant microbiomes for improved sustainable agriculture and bioenergy crop production.

Triple-transgenic soybean in conjunction with glyphosate drive patterns in the rhizosphere microbial community assembly

Plant roots continuously influence the rhizosphere, which also serves as a recruitment site for microorganisms with desirable functions. The development of genetically engineered (GE) crop varieties has offered unparalleled yield advantages. However, in-depth research on the effects of GE crops on the rhizosphere microbiome is currently insufficient. We used a triple-transgenic soybean cultivar (JD606) that is resistant to insects, glyphosate, and drought, along with its control, ZP661, and JD606 treated with glyphosate (JD606G). Using 16S and ITS rDNA sequencing, their effects on the taxonomy and function of the bacterial and fungal communities in the rhizosphere, surrounding, and bulk soil compartment niches were determined. Alpha diversity demonstrated a strong influence of JD606 and JD606G on bacterial Shannon diversity. Both treatments significantly altered the soil's pH and nitrogen content. Beta diversity identified the soil compartment niche as a key factor with a significant probability of influencing the bacterial and fungal communities associated with soybeans. Further analysis showed that the rhizosphere effect had a considerable impact on bacterial communities in JD606 and JD606G soils but not on fungal communities. Microbacterium, Bradyrhizobium, and Chryseobacterium were found as key rhizobacterial nodes. In addition, the LEfSe analysis identified biomarker taxa with plant-beneficial attributes, demonstrating rhizosphere-driven microbial recruitment. FUNGuild, Bugbase, and FAPROTAX functional predictions showed that ZP661 soils had more plant pathogen-associated microbes, while JD606 and JD606G soils had more stress-tolerance, nitrogen, and carbon cycle-related microbes. Bacterial rhizosphere networks had more intricate topologies than fungal networks. Furthermore, correlation analysis revealed that the bacteria and fungi with higher abundances exhibited varying degrees of positive and negative correlations. Our findings shed new light on the niche partitioning of bacterial and fungal communities in soil. It also indicates that following triple-transgenic soybean cultivation and glyphosate application, plant roots recruit microbes with beneficial taxonomic and functional traits in the rhizosphere.

Tree species mixing begets admixture of soil microbial communities: Variations along bulk soil, rhizosphere soil and root tissue

Tree species can substantially impact the structure and functioning of soil microbial communities. However, how tree species mixing affects soil microbial communities along different soil compartment niches remains unknown, despite the theoretical (e.g., plant-soil feedback) and practical (e.g., rhizosphere engineering) importance of such knowledge in understanding and managing forest ecosystems. In this study, we analyzed soil samples taken from three microhabitats (bulk soil, rhizosphere soil, and root tissue) of pure conifer species (Pinus massoniana) plantations (PP), pure broadleaf species (Castanopsis hystrix) plantations (PC), and mixed plantation forest of the two species (MF) to understand the effects of tree species mixing on core soil microbial communities. We found that the diversity of soil bacterial and fungal communities was not affected by tree species mixing in most cases, but community composition (relative abundance and functional composition) was largely shaped by tree species mixing. Non-metric multidimensional scaling (NMDS) analysis revealed that the core bacterial and fungal communities of MF were between those of PP and PC. This suggests that tree species mixing can lead to a combination of soil microbial communities associated with each of the two tree species, potentially resulting in higher nutrient contents in the bulk soil of MF and lower phosphorus and carbon limitations in both the bulk and rhizosphere soils of MF compared to those of PP and PC. The Mantel test and redundancy analysis (RDA) showed that pH and NO3–-N content were the main environmental variables influencing soil microbial communities. Overall, the effects of tree species mixing varied markedly with microhabitat and season, with rhizosphere soil having the highest microbial diversity and network complexity and root tissue having the lowest. These results suggest that the mixing effects of tree species are more pronounced in the rhizosphere and dry season, on which silvicultural practices should focus.

The effect of plant compartment and geographical location on shaping microbiome of Pulsatilla chinensis.

The plant-associated microbiome has an effect on plant growth. Pulsatilla chinensis (Bge.) Regel is an important Chinese medicinal plant. Currently, there is little understanding of the P. chinensis-associated microbiome and its diversity and composition. Here, the core microbiome associated with the root, leaf, and rhizospheric soil compartments of P. chinensis from five geographical locations was analyzed by the metagenomics approach. The alpha and beta diversity analysis showed that the microbiome associated with P. chinensis was shaped by the compartment, especially in the bacterial community. The geographical location had little influence on microbial community diversity associated with root and leaf. Hierarchical clustering distinguished the microbial communities of rhizospheric soil based on their geographical location and among the soil properties, pH was showed the more stronger effect on the diversity of rhizospheric soil microbial communities. Proteobacteria was the most dominant bacterial phylum in the root, leaf, and rhizospheric soil. Ascomycota and Basidiomycota were the most dominant fungal phyla in different compartments. Rhizobacter, Anoxybacillus, and IMCC26256 were the most important marker bacterial species for root, leaf, and rhizospheric soil screened by random forest, respectively. The fungal marker species for root, leaf, and rhizospheric soil were not only different across the compartments but also the geographical locations. Functional analysis showed that P. chinensis-associated microbiome had the similar function which had no obvious relationship with geographical location and compartment. The associated microbiome indicated in this study can be used for identifying microorganisms related to the quality and growth of P. chinensis. KEY POINTS: • Microbiome associated with P. chinensis was shaped by the compartment • Microbiome composition and abundance associated with rhizospheric soil were affected by the geographical location • Compared with fungi, bacterial associated with P. chinensis composition and diversity were more stable in different geographical locations and compartments.

Impact of lignin constituents on the bacterial community and polycyclic aromatic hydrocarbon co-metabolism in an agricultural soil

Lignin is a complex biopolymer comprising phenolic monomers with different degrees of methoxylation and may potentially enhance the degradation of soil pollutants such as polycyclic aromatic hydrocarbons (PAHs) through co-metabolism. However, the contribution of lignin constituents, including phenolic and methoxy subunits, to PAH biodegradation remains unclear. Here, p-hydroxybenzoate (pHBA), vanillate and methanol were selected to simulate phenolic units and methoxy groups of lignin. Soil microcosms receiving these compounds were established to evaluate their regulation on the bacterial community and PAH co-metabolism. There were different effects of different components on the biodegradation of a four-ring PAH, benzo(a)anthracene (BaA), as characterized using an isotopic tracer. Only vanillate significantly stimulated BaA mineralization to CO2, with pHBA and methanol leading to no appreciable change in the allocation of BaA in soil compartments. The lignin constituents had differential impacts on the soil bacterial community, with substantial enrichment of methylotrophs occurring in methanol-supplemented microcosms. Both vanillate and pHBA selected several aromatic degraders. Vanillate caused additional enrichment of methylotrophs, suggesting structure-dependent stimulation of bacterial functional guilds by lignin monomers. Compared with its constituents, lignin produced more extensive responses in terms of bacterial diversity and composition and the fate of BaA. However, it was difficult to link BaA co-metabolism to any specific bacterial taxa in the presence of lignin or its subunits. The results indicate that the co-metabolism effects of lignin may not be directly associated with phenolic or methoxy metabolism but with its regulation of the soil microbiome.

Changes in rice rhizosphere and bulk soil bacterial communities in the Doñana wetlands at different growth stages

The Doñana wetlands comprise an emblematic Mediterranean landscape protected as a UNESCO World Heritage Site. Some parts of these wetlands have been transformed into intensive rice cultivation areas, which are currently the most productive rice-growing areas in Europe. We examined the bacterial communities in these domesticated soils as they are key for plant health and productivity and have a strong influence on biochemical cycles. To identify the bacteria, we used metabarcoding analysis coupled with metabolic predictions and co-occurrence networks. This analysis was performed in the bulk and rhizosphere soils during different stages in the growing season. These soil compartments had a greater effect on the bacterial communities than the plant phenological stages. The diversity and richness of the bacterial population inhabiting the rhizosphere was much lower than that in the bulk soil, comprising taxa that were significantly more represented in this soil compartment, such as bacteria from the genus Hydrogenophaga, three genera from the order Rhizobiales, and unclassified genera from the families Desulfocapsaceae and Actinobacteria. Rhizosphere co-occurrence networks revealed a high number of negative connections, indicating unstable bacterial communities that may be highly influenced by biotic and abiotic factors. Rhizosphere networks mostly rely on two taxa belonging to the phyla Proteobacteria and Cyanobacteria, which are the predicted network hubs in this soil compartment. The bulk soil conserved high bacterial diversity and richness that was stable throughout the growth period of rice. Anaerobic bacteria from genera Marmoricola, the uncultured Gemmatimonadota bacteria SDR1034 terrestrial group, Anaerolinea, and the sulphur oxidizer, Thiobacillus were highly represented. This analysis provides valuable information for understanding bacterial diversity in the rhizosphere of rice cultivated in this region, which is critical for enhancing plant growth and productivity.

Compartments of roots and mature leaves are key hubs in the connectivity of tea-plant mycobiomes and are influenced by environmental factors and host age

Understanding the tripartite consortium of crop, mycobiome, and environment is necessary to advance smart farming. Owing to their life cycle of hundreds of years, tea plants are excellent models for studying these entwined relationships; however, observations on this globally important cash crop with numerous health benefits are still rudimentary. Here, the fungal taxa along the soil–tea plant continuum in tea gardens of different ages in famous high-quality tea-growing regions in China were characterized using DNA metabarcoding. Using machine learning, we dissected the spatiotemporal distribution, co-occurrence patterns, assembly, and their associations in different compartments of tea-plant mycobiomes, and further explored how these potential interactions were driven by environmental factors and tree age, and how they influenced the market prices of tea. The results revealed that Compartment niche differentiation was the key driving force behind variation in the tea-plant mycobiome. The mycobiome of roots had the highest specific proportion and convergence and almost did not overlap with the soil. The enrichment ratio of developing leaves to root mycobiome increased with increasing tree age, while mature leaves showed the highest value in the Laobanzhang (LBZ) tea garden with top market prices and displayed the strongest depletion effect on mycobiome association along the soil–tea plant continuum. The balance between determinism and stochasticity in the assembly process was co-driven by compartment niches and life cycle variation. Fungal guild analysis showed that altitude indirectly affected market prices of tea by mediating the abundance of the plant pathogen. The relative importance of plant pathogen and ectomycorrhizae could be used to assess the age of tea. Biomarkers were mainly distributed in soil compartments, and Clavulinopsis miyabeana, Mortierella longata, and Saitozyma sp. may affect the spatiotemporal dynamics of tea-plant mycobiomes and their ecosystem services. Soil properties (mainly total potassium) and tree age indirectly affected the developing leaves via positively influencing the mycobiome of mature leaves. In contrast, the climate directly and significantly drove the mycobiome composition of the developing leaves. Moreover, the proportion of negative correlations in the co-occurrence network positively regulated tea-plant mycobiome assembly, which significantly affected the market prices of tea in the structural equation model with network complexity as hub. These findings indicate that mycobiome signatures play pivotal roles in the adaptive evolution and fungal disease control of tea plants and can help develop better agricultural practices that focus on both plant health and financial profits, and provide a new strategy for assessing tea quality grade and age.

Material flow analysis-based assessment of polypropylene-fiber-containing microplastics released from disposable masks: Characterizing distribution in the environmental media

With the upsurge in the use of disposable masks during the coronavirus disease pandemic, improper disposal of discarded masks and their negative impact on the environment have emerged as major issues. Improperly disposed of masks release various pollutants, particularly microplastic (MP) fibers, which can harm both terrestrial and aquatic ecosystems by interfering with the nutrient cycling, plant growth, and the health and reproductive success of organisms. This study assesses the environmental distribution of polypropylene (PP)-containing MPs, generated from disposable masks, using material flow analysis (MFA). The system flowchart is designed based on the processing efficiency of various compartments in the MFA model. The highest amount of MPs (99.7 %) is found in the landfill and soil compartments. A scenario analysis reveals that waste incineration significantly reduces the amount of MP transferred to landfills. Therefore, considering cogeneration and gradually increasing the incineration treatment rate are crucial to manage the processing load of waste incineration plants and minimize the negative impact of MPs on the environment. The findings provide insights into the potential environmental exposure associated with the improper disposal of waste masks and indicate strategies for sustainable mask disposal and management.

Response of bacterial communities to the application of sewage sludge biochar and Penicillium aculeatum in rhizosphere and bulk soil of wheat

The application of sewage sludge biochar (SSB) in agriculture is a promising solution for detoxifying and recycling the nutrient-rich sludge. However, knowledge is required on how SSB alone or in combination with biofertilizers influences the soil microbial communities. This work used a wheat pot experiment with a root free soil compartment to study effects of SSB and the phosphate-solubilizing Penicillium aculeatum on bacterial communities in wheat rhizosphere and bulk soil. Treatments were applied only to the root free soil compartment. Analysis by 16S rRNA gene amplicon sequencing showed that SSB increased the alpha diversity and induced taxon-specific shifts. These shifts occurred in both rhizosphere and bulk soil, and they were dominated by increased relative abundance of Gemmatimonadetes and Chloroflexi which were primarily explained by increases in soil P availability and soil pH, respectively. Application of P. aculeatum had smaller effects on bacterial communities and these effects occurred mainly in rhizosphere soil and were probably related to unidentified interactive rhizosphere processes. The combined application of SSB and P. aculeatum did not reveal any additive effects on the bacterial communities as compared to the sole application of SSB. Due to the different treatment effects on rhizosphere and bulk soil communities, the analysis of both soil compartments will provide a better understanding of interactions between biochar, soil, bacteria and plants.

Diversity of Arbuscular Mycorrhizal Fungi Associated with Six Rice Cultivars in Italian Agricultural Ecosystem Managed with Alternate Wetting and Drying

Alternate wetting and drying (AWD) system, in which water has been reduced by approximately 35% with an increased occurrence of beneficial arbuscular mycorrhizal (AM) symbiosis and no negative impact on rice yield, was proposed to utilize water and nutrients more sustainable. In this study, we selected six rice cultivars (Centauro, Loto, Selenio, Vialone nano, JSendra and Puntal) grown under AWD conditions, and investigated their responsiveness to AM colonization and how they select diverse AM taxa. In order to investigate root-associated AM fungus communities, molecular cloning-Sanger sequencing on small subunit rDNA data were obtained from five out of the six rice cultivars and compared with Next Generation Sequencing (NGS) data, which were previously obtained in Vialone nano. The results showed that all the cultivars were responsive to AM colonization with the development of AM symbiotic structures, even if with differences in the colonization and arbuscule abundance in the root systems. We identified 16 virtual taxa (VT) in the soil compartment and 7 VT in the root apparatus. We emphasized that the NGS analysis gives additional value to the results thanks to a more in-depth reading of the less represented AM fungus taxa.

Biogeographical patterns of rhizosphere microbial communities in Robinia pseudoacacia forests along a north–south transect in the Loess Plateau

Rhizosphere microbiota play an essential role in plant productivity; however, their biogeographical patterns in restored forest ecosystems across large spatial scales remain poorly understood. We used the Ion S5TM XL sequencing platform to explore the distributions of microbial communities in the rhizosphere and bulk soil of Robinia pseudoacacia at 11 mature forest sites along a north–south precipitation gradient in the Loess Plateau, China. Microbial alpha-diversity mostly peaked in the south zone at lower latitudes, and significant distance-decay patterns were observed in both bacterial and fungal communities. Fungal communities exhibited more distinct spatial patterns in the rhizosphere than bacterial communities. The relative influence of geographic factors on bacterial/fungal community turnover in the rhizosphere (12.4/16.7%) and bulk soil (16.1/17.1%) was greater than that of local environmental factors. Microbial community assembly was mainly governed by deterministic processes (98% of nearest taxon index > 2), despite their relative importance decreasing from bulk soil to the rhizosphere in the case of bacteria. Co-occurrence patterns of sensitive taxa were more complex in the bacterial network than in the fungal network owing to a marked regional effect. Interactions of bacterial taxa differentially enriched between soil compartments were much closer than fungal interactions, indicating a stronger rhizosphere effect on bacteria. The results provide novel insights into the assembly of rhizosphere microbial communities in large-scale forest ecosystems under vegetation restoration.

Mean nutrient uptake depths of cereal crops change with compost incorporation into subsoil – evidence from 87Sr/86Sr ratios

Background and AimsRoot restricting layers often hinder crops from accessing the large reservoir of bioavailable mineral nutrients situated in subsoil. This study aims to explore changes in the mean nutrient uptake depth of cereal crops when removing root restricting layers through subsoil management.MethodsSubsoil management was performed by deep loosening, cultivation of lucerne as deep-rooting pre-crop, and their combination with compost incorporation. Management effects were evaluated by means of shoot biomass and element concentrations in shoots and soil compartments. The mean nutrient uptake depth was fingerprinted by graphically matching the 87Sr/86Sr ratios in shoots with the 87Sr/86Sr ratios in the exchangeable fraction in soil. Nutrient uplift from depth to topsoil was inferred from element concentrations in the exchangeable fraction in soil.ResultsShoot biomass remained constant in management and control plots. The mean nutrient uptake depth changed with subsoil management in the order: deep loosening < control < deep loosening with compost incorporation. The latter coincided with a reallocation of compost-derived Na and hence resulted in increased levels of bioavailable Na below the depth of compost incorporation, which may have led to an improved water use efficiency of the crops. Thus, Na relocation triggered the deepening of the mean uptake depth of water and nutrients. Moreover, nutrient uplift from depth to topsoil was evident 21 months after subsoiling.ConclusionSubsoil management by deep loosening with compost incorporation provides a sustainable use of soil resources because otherwise unused deep geogenic-derived nutrient reservoirs were additionally involved in crop nutrition.

Leather-based fertilizers from Personal Protective Equipment (PPE) reverse logistics: Technical efficiency and environmental safety

Agriculture and industry are seeking healthy food and enough goods to meet the global demand without causing environmental impacts, which motivates the search for sustainable and eco-efficient technologies. This study focuses on reverse logistics in the Personal Protective Equipment (PPE) industry. Chrome-tanned leather shavings from the manufacture of PPE and post-use leather PPE were used to produce leather-based fertilizers (LBFs), which were evaluated for their agronomic efficiency and food safety. N-rich liquid LBFs were successfully produced through hydrolysis, either with or without previous chromium extraction. At the dose of maximum technical efficiency, LBFs are safe, with acceptable levels of Cr in the plant biomass and the soil compartments. However, LBF overdoses promote Cr accumulation in plants and soils, which demonstrates the need for a rigorous control over the fertilization management to ensure successful PPE reverse logistics.