Comparative study of microbial structure and functional profile of sunflower rhizosphere grown in two fields

Abstract Background Microbial communities inhabiting the rhizosphere play pivotal roles in determining plant health and yield. Manipulation of the rhizosphere microbial community is a promising means to enhance the productivity of economically viable and important agricultural crops such as sunflower (Helianthus annuus). This study was designed to gain insights into the taxonomic and functional structures of sunflower rhizosphere and bulk soil microbiome at two different locations (Sheila and Itsoseng) in South Africa. Results Microbial DNA extracted from the sunflower rhizosphere and bulk soils was subjected to next-generation sequencing using 16S amplicon sequencing technique. Firmicutes, Actnobacteria and Proteobacteria predominated sunflower rhizosphere soils. Firmicutes, Cyanobacteria, Deinococcus-Thermus and Fibrobacteres were positively influenced by Na+ and clay content, while Actinobacteria, Thaumarchaeota, Bacteroidetes, Planctomycetes, Aquificae and Chloroflexi were positively influenced by soil resistivity (Res) and Mg2+. The community-level physiological profiling (CLPP) analysis showed that the microbial communities in SHR and ITR used the amino acids tryptophan and malic acid efficiently. The metabolisms of these carbon substrates may be due to the dominant nature of some of the organisms, such as Actinobacteria in the soils. Conclusion The CLPP measurements of soil from sunflower rhizosphere were different from those of the bulk soil and the degree of the variations were based on the type of carbon substrates and the soil microbial composition. This study has shown the presence of certain taxa of rhizobacteria in sunflower rhizosphere which were positively influenced by Na+ and Mg2+, and taxa obtained from SHR and ITR were able to effectively utilized tryptophan and malic acid. Many unclassified microbial groups were also discovered and it is therefore recommended that efforts should further be made to isolate, characterize and identify these unclassified microbial species, as it might be plausible to discover new microbial candidates that can further be harnessed for biotechnological purpose.

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Investigation of soil microbiome under the influence of different mulching treatments in northern highbush blueberry

AMB Express ◽

10.1186/s13568-021-01294-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Sang In Lee ◽

Jungmin Choi ◽

Hyunhee Hong ◽

Jun Haeng Nam ◽

Bernadine Strik ◽

...

Keyword(s):

Microbial Communities ◽

Functional Properties ◽

Soil Depth ◽

Plant Growth Promoting Rhizobacteria ◽

Soil Samples ◽

Soil Microbiome ◽

Microbial Composition ◽

Soil Microbial ◽

Significant Difference ◽

Plant Growth Promoting

AbstractMicrobial communities on soil are fundamental for the long-term sustainability of agriculture ecosystems. Microbiota in soil would impact the yield and quality of blueberries since microbial communities in soil can interact with the rhizosphere of plant. This study was conducted to determine how different mulching treatments induce changes in soil microbial composition, diversity, and functional properties. A total of 150 soil samples were collected from 5 different mulch treatments (sawdust, green weed mat, sawdust topped with green weed mat, black weed mat, and sawdust topped with black weed mat) at 3 different depths (bottom, middle, and top region of 20 cm soil depth) from 2 different months (June and July 2018). A total of 8,583,839 sequencing reads and 480 operational taxonomic units (OTUs) of bacteria were identified at genus level. Eight different plant growth promoting rhizobacteria (PGPR) were detected, and the relative abundances of Bradyrhizobium, Bacillus, and Paenibacillus were more than 0.1% among all soil samples. Sampling depth and month of soil samples impacted the amount of PGPR, while there were no significant differences based on mulch type. Functional properties of bacteria were identified through PICRUSt2, which found that there is no significant difference between mulch treatment, depth, and month. The results indicated that sampling month and depth of soil impacted the relative abundance of PGPR in soil samples, but there were no significant differences of functional properties and beneficial microbial communities based on mulch type.

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Patterns of local, intercontinental and interseasonal variation of soil bacterial and eukaryotic microbial communities

FEMS Microbiology Ecology ◽

10.1093/femsec/fiaa018 ◽

2020 ◽

Vol 96 (3) ◽

Cited By ~ 3

Author(s):

Johan De Gruyter ◽

James T Weedon ◽

Stéphane Bazot ◽

Steven Dauwe ◽

Pere-Roc Fernandez-Garberí ◽

...

Keyword(s):

Temporal Variation ◽

Microbial Communities ◽

Community Composition ◽

Temporal Dynamics ◽

Soil Microbial Communities ◽

Soil Microbiome ◽

Ongoing Research ◽

Soil Microbial ◽

Spatio Temporal ◽

Microbial Groups

ABSTRACT Although ongoing research has revealed some of the main drivers behind global spatial patterns of microbial communities, spatio-temporal dynamics of these communities still remain largely unexplored. Here, we investigate spatio-temporal variability of both bacterial and eukaryotic soil microbial communities at local and intercontinental scales. We compare how temporal variation in community composition scales with spatial variation in community composition, and explore the extent to which bacteria, protists, fungi and metazoa have similar patterns of temporal community dynamics. All soil microbial groups displayed a strong correlation between spatial distance and community dissimilarity, which was related to the ratio of organism to sample size. Temporal changes were variable, ranging from equal to local between-sample variation, to as large as that between communities several thousand kilometers apart. Moreover, significant correlations were found between bacterial and protist communities, as well as between protist and fungal communities, indicating that these microbial groups change in tandem, potentially driven by interactions between them. We conclude that temporal variation can be considerable in soil microbial communities, and that future studies need to consider temporal variation in order to reliably capture all drivers of soil microbiome changes.

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Alkaline soil pH affects bulk soil, rhizosphere and root endosphere microbiomes of plants growing in a Sandhills ecosystem

FEMS Microbiology Ecology ◽

10.1093/femsec/fiab028 ◽

2021 ◽

Vol 97 (4) ◽

Author(s):

Lucas Dantas Lopes ◽

Jingjie Hao ◽

Daniel P Schachtman

Keyword(s):

Microbial Communities ◽

Plant Species ◽

Soil Ph ◽

Soil Microbial Communities ◽

Bulk Soil ◽

Strong Impact ◽

Alkaline Soil ◽

Alkaline Soils ◽

Soil Microbial ◽

Soil Rhizosphere

ABSTRACT Soil pH is a major factor shaping bulk soil microbial communities. However, it is unclear whether the belowground microbial habitats shaped by plants (e.g. rhizosphere and root endosphere) are also affected by soil pH. We investigated this question by comparing the microbial communities associated with plants growing in neutral and strongly alkaline soils in the Sandhills, which is the largest sand dune complex in the northern hemisphere. Bulk soil, rhizosphere and root endosphere DNA were extracted from multiple plant species and analyzed using 16S rRNA amplicon sequencing. Results showed that rhizosphere, root endosphere and bulk soil microbiomes were different in the contrasting soil pH ranges. The strongest impact of plant species on the belowground microbiomes was in alkaline soils, suggesting a greater selective effect under alkali stress. Evaluation of soil chemical components showed that in addition to soil pH, cation exchange capacity also had a strong impact on shaping bulk soil microbial communities. This study extends our knowledge regarding the importance of pH to microbial ecology showing that root endosphere and rhizosphere microbial communities were also influenced by this soil component, and highlights the important role that plants play particularly in shaping the belowground microbiomes in alkaline soils.

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Disentangling Responses of the Subsurface Microbiome to Wetland Status and Implications for Indicating Ecosystem Functions

Microorganisms ◽

10.3390/microorganisms9020211 ◽

2021 ◽

Vol 9 (2) ◽

pp. 211

Author(s):

Jie Gao ◽

Miao Liu ◽

Sixue Shi ◽

Ying Liu ◽

Yu Duan ◽

...

Keyword(s):

Microbial Community ◽

High Throughput Sequencing ◽

Carbon Fixation ◽

Microbial Community Composition ◽

Ecosystem Functions ◽

Microbial Composition ◽

Wetland Ecosystems ◽

Soil Microbial ◽

Geochemical Properties ◽

Microbial Groups

In this study, we analyzed microbial community composition and the functional capacities of degraded sites and restored/natural sites in two typical wetlands of Northeast China—the Phragmites marsh and the Carex marsh, respectively. The degradation of these wetlands, caused by grazing or land drainage for irrigation, alters microbial community components and functional structures, in addition to changing the aboveground vegetation and soil geochemical properties. Bacterial and fungal diversity at the degraded sites were significantly lower than those at restored/natural sites, indicating that soil microbial groups were sensitive to disturbances in wetland ecosystems. Further, a combined analysis using high-throughput sequencing and GeoChip arrays showed that the abundance of carbon fixation and degradation, and ~95% genes involved in nitrogen cycling were increased in abundance at grazed Phragmites sites, likely due to the stimulating impact of urine and dung deposition. In contrast, the abundance of genes involved in methane cycling was significantly increased in restored wetlands. Particularly, we found that microbial composition and activity gradually shifts according to the hierarchical marsh sites. Altogether, this study demonstrated that microbial communities as a whole could respond to wetland changes and revealed the functional potential of microbes in regulating biogeochemical cycles.

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Study of Oak Ridge soils using BONCAT-FACS-Seq reveals that a large fraction of the soil microbiome is active

10.1101/404087 ◽

2018 ◽

Cited By ~ 5

Author(s):

Estelle Couradeau ◽

Joelle Sasse ◽

Danielle Goudeau ◽

Nandita Nath ◽

Terry C. Hazen ◽

...

Keyword(s):

Soil Microbes ◽

Sequence Similarity ◽

Large Fraction ◽

Amplicon Sequencing ◽

Bulk Soil ◽

Soil Microbiome ◽

Active Fraction ◽

Soil Microbial Diversity ◽

Oak Ridge

AbstractThe ability to link soil microbial diversity to soil processes requires technologies that differentiate active subpopulations of microbes from so-called relic DNA and dormant cells. Measures of microbial activity based on various techniques including DNA labelling have suggested that most cells in soils are inactive, a fact that has been difficult to reconcile with observed high levels of bulk soil activities. We hypothesized that measures of in situ DNA synthesis may be missing the soil microbes that are metabolically active but not replicating, and we therefore applied BONCAT (Bioorthogonal Non Canonical Amino Acid Tagging) i.e. a proxy for activity that does not rely on cell division, to measure translationally active cells in soils. We compared the active population of two soil depths from Oak Ridge (TN) incubated under the same conditions for up to seven days. Depending on the soil, a maximum of 25 – 70% of the cells were active, accounting for 3-4 million cells per gram of soil type, which is an order of magnitude higher than previous estimates. The BONCAT positive cell fraction was recovered by fluorescence activated cell sorting (FACS) and identified by 16S rDNA amplicon sequencing. The diversity of the active fraction was a selected subset of the bulk soil community. Excitingly, some of the same members of the community were recruited at both depths independently from their abundance rank. On average, 86% of sequence reads recovered from the active community shared >97% sequence similarity with cultured isolates from the field site. Our observations are in line with a recent report that, of the few taxa that are both abundant and ubiquitous in soil, 45% are also cultured – and indeed some of these ubiquitous microorganisms were found to be translationally active. The use of BONCAT on soil microbiomes provides evidence that a large portion of the soil microbes can be active simultaneously. We conclude that BONCAT coupled to FACS and sequencing is effective for interrogating the active fraction of soil microbiomes in situ and provides new perspectives to link metabolic capacity to overall soil ecological traits and processes.

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Dynamic Microbial Network Structure and Assembly Process in Rhizosphere and Bulk Soils Along a Coniferous Plantation Chronosequence

10.21203/rs.3.rs-1101835/v1 ◽

2021 ◽

Author(s):

Ying Wang ◽

Liguo Dong ◽

Min Zhang ◽

Xiaoxiong Bai ◽

Jiawen Zhang ◽

...

Keyword(s):

Total Phosphorus ◽

Fungal Community ◽

Soil Microbial Communities ◽

Dispersal Limitation ◽

Soil Samples ◽

Pinus Tabulaeformis ◽

Bulk Soil ◽

Microbial Composition ◽

Soil Microbial ◽

Plantation Development

Abstract Aims: During plantation development, microbial composition and diversity are critical for the establishment of plant diversity and multiple ecosystem functions. Here we aimed to evaluate the impacts of chronosequence and soil compartment on the bacterial and fungal community compositions, species co-occurrence, and assembly processes in forest ecosystem.Methods: Soils were collected in rhizosphere and bulk soils along a Pinus tabulaeformis plantation chronosequence (15, 30 and 60 years old). The bacterial and fungal communities were determined using amplicon sequencing.Results: The effect of stand age on the soil properties and microbial community structures was stronger than the effect of the soil compartment. In all soil samples, the dominant bacterial phyla were Proteobacteria, Acidobacteria, Actinobacteria, and Chloroflexi. Basidiomycota, Ascomycota, and Mortierellomycota were the dominant fungal phyla. Higher turnover rates of soil microbial communities were observed in rhizosphere soil than in bulk soil. Dispersal limitation governed the bacterial and fungal community assembly in all soil samples, and the fungal community was more susceptible to dispersal limitation. The bacterial and fungal keystone species compositions in the rhizosphere had significant positive correlations with the soil total phosphorus and nitrite nitrogen and total nitrogen and total phosphorus, respectively, indicating their importance in soil nitrogen and phosphorus cycling. The complexity of bacterial networks increased along the chronosequence. Fungal network complexity did not show a clear age-related trend but increased from bulk soil to the rhizosphere.Conclusions: During Pinus tabulaeformis plantation development, soil microbial assembly was less environmentally constrained due to an increase in resource availability.

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Bio-organic fertilizers stimulate indigenous soil Pseudomonas populations to enhance plant disease suppression

Microbiome ◽

10.1186/s40168-020-00892-z ◽

2020 ◽

Vol 8 (1) ◽

Cited By ~ 2

Author(s):

Chengyuan Tao ◽

Rong Li ◽

Wu Xiong ◽

Zongzhuan Shen ◽

Shanshan Liu ◽

...

Keyword(s):

Microbial Communities ◽

Plant Pathogens ◽

Organic Fertilizer ◽

Soil Microbial Communities ◽

Plant Diseases ◽

Disease Suppression ◽

Organic Fertilizers ◽

Soil Microbiome ◽

Soil Microbial ◽

Bioorganic Fertilizer

Abstract Background Plant diseases caused by fungal pathogen result in a substantial economic impact on the global food and fruit industry. Application of organic fertilizers supplemented with biocontrol microorganisms (i.e. bioorganic fertilizers) has been shown to improve resistance against plant pathogens at least in part due to impacts on the structure and function of the resident soil microbiome. However, it remains unclear whether such improvements are driven by the specific action of microbial inoculants, microbial populations naturally resident to the organic fertilizer or the physical-chemical properties of the compost substrate. The aim of this study was to seek the ecological mechanisms involved in the disease suppressive activity of bio-organic fertilizers. Results To disentangle the mechanism of bio-organic fertilizer action, we conducted an experiment tracking Fusarium wilt disease of banana and changes in soil microbial communities over three growth seasons in response to the following four treatments: bio-organic fertilizer (containing Bacillus amyloliquefaciens W19), organic fertilizer, sterilized organic fertilizer and sterilized organic fertilizer supplemented with B. amyloliquefaciens W19. We found that sterilized bioorganic fertilizer to which Bacillus was re-inoculated provided a similar degree of disease suppression as the non-sterilized bioorganic fertilizer across cropping seasons. We further observed that disease suppression in these treatments is linked to impacts on the resident soil microbial communities, specifically by leading to increases in specific Pseudomonas spp.. Observed correlations between Bacillus amendment and indigenous Pseudomonas spp. that might underlie pathogen suppression were further studied in laboratory and pot experiments. These studies revealed that specific bacterial taxa synergistically increase biofilm formation and likely acted as a plant-beneficial consortium against the pathogen. Conclusion Together we demonstrate that the action of bioorganic fertilizer is a product of the biocontrol inoculum within the organic amendment and its impact on the resident soil microbiome. This knowledge should help in the design of more efficient biofertilizers designed to promote soil function.

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Visualizing Microbial Community Dynamics via a Controllable Soil Environment

mSystems ◽

10.1128/msystems.00645-19 ◽

2020 ◽

Vol 5 (1) ◽

Cited By ~ 1

Author(s):

Arunima Bhattacharjee ◽

Dusan Velickovic ◽

Thomas W. Wietsma ◽

Sheryl L. Bell ◽

Janet K. Jansson ◽

...

Keyword(s):

Soil Moisture ◽

Microbial Community ◽

Microbial Communities ◽

Community Dynamics ◽

Soil Microbial Communities ◽

Soil Microbiome ◽

Soil Core ◽

Soil Microbial ◽

Functional Relationships ◽

Microbial Community Dynamics

ABSTRACT Understanding the basic biology that underpins soil microbiome interactions is required to predict the metaphenomic response to environmental shifts. A significant knowledge gap remains in how such changes affect microbial community dynamics and their metabolic landscape at microbially relevant spatial scales. Using a custom-built SoilBox system, here we demonstrated changes in microbial community growth and composition in different soil environments (14%, 24%, and 34% soil moisture), contingent upon access to reservoirs of nutrient sources. The SoilBox emulates the probing depth of a common soil core and enables determination of both the spatial organization of the microbial communities and their metabolites, as shown by confocal microscopy in combination with mass spectrometry imaging (MSI). Using chitin as a nutrient source, we used the SoilBox system to observe increased adhesion of microbial biomass on chitin islands resulting in degradation of chitin into N-acetylglucosamine (NAG) and chitobiose. With matrix-assisted laser desorption/ionization (MALDI)-MSI, we also observed several phospholipid families that are functional biomarkers for microbial growth on the chitin islands. Fungal hyphal networks bridging different chitin islands over distances of 27 mm were observed only in the 14% soil moisture regime, indicating that such bridges may act as nutrient highways under drought conditions. In total, these results illustrate a system that can provide unprecedented spatial information about interactions within soil microbial communities as a function of changing environments. We anticipate that this platform will be invaluable in spatially probing specific intra- and interkingdom functional relationships of microbiomes within soil. IMPORTANCE Microbial communities are key components of the soil ecosystem. Recent advances in metagenomics and other omics capabilities have expanded our ability to characterize the composition and function of the soil microbiome. However, characterizing the spatial metabolic and morphological diversity of microbial communities remains a challenge due to the dynamic and complex nature of soil microenvironments. The SoilBox system, demonstrated in this work, simulates an ∼12-cm soil depth, similar to a typical soil core, and provides a platform that facilitates imaging the molecular and topographical landscape of soil microbial communities as a function of environmental gradients. Moreover, the nondestructive harvesting of soil microbial communities for the imaging experiments can enable simultaneous multiomics analysis throughout the depth of the SoilBox. Our results show that by correlating molecular and optical imaging data obtained using the SoilBox platform, deeper insights into the nature of specific soil microbial interactions can be achieved.

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Resilience and Assemblage of Soil Microbiome in Response to Chemical Contamination Combined with Plant Growth

Applied and Environmental Microbiology ◽

10.1128/aem.02523-18 ◽

2019 ◽

Vol 85 (6) ◽

Cited By ~ 5

Author(s):

Shuo Jiao ◽

Weimin Chen ◽

Gehong Wei

Keyword(s):

Microbial Communities ◽

Soil Microbial Communities ◽

Soil Microbiome ◽

Chemical Contamination ◽

Plant Interactions ◽

Soil Microbial Diversity ◽

Soil Microbial ◽

Microbial Responses ◽

Legume Plants ◽

Functional Profiles

ABSTRACT A lack of knowledge of the microbial responses to environmental change at the species and functional levels hinders our ability to understand the intrinsic mechanisms underlying the maintenance of microbial ecosystems. Here, we present results from temporal microcosms that introduced inorganic and organic contaminants into agro-soils for 90 days, with three common legume plants. Temporal dynamics and assemblage of soil microbial communities and functions in response to contamination under the influence of growth of different plants were explored via sequencing of the 16S rRNA amplicon and by shotgun metagenomics. Soil microbial alpha diversity and structure at the taxonomic and functional levels exhibited resilience patterns. Functional profiles showed greater resilience than did taxonomic ones. Different legume plants imposed stronger selection on taxonomic profiles than on functional ones. Network and random forest analyses revealed that the functional potential of soil microbial communities was fostered by various taxonomic groups. Betaproteobacteria were important predictors of key functional traits such as amino acid metabolism, nucleic acid metabolism, and hydrocarbon degradation. Our study reveals the strong resilience of the soil microbiome to chemical contamination and sensitive responses of taxonomic rather than functional profiles to selection processes induced by different legume plants. This is pivotal to develop approaches and policies for the protection of soil microbial diversity and functions in agro-ecosystems with different response strategies from global environmental drivers, such as soil contamination and plant invasion. IMPORTANCE Exploring the microbial responses to environmental disturbances is a central issue in microbial ecology. Understanding the dynamic responses of soil microbial communities to chemical contamination and the microbe-soil-plant interactions is essential for forecasting the long-term changes in soil ecosystems. Nevertheless, few studies have applied multi-omics approaches to assess the microbial responses to soil contamination and the microbe-soil-plant interactions at the taxonomic and functional levels simultaneously. Our study reveals clear succession and resilience patterns of soil microbial diversity and structure in response to chemical contamination. Different legume plants exerted stronger selection processes on taxonomic than on functional profiles in contaminated soils, which could benefit plant growth and fitness as well as foster the potential abilities of hydrocarbon degradation and metal tolerance. These results provide new insight into the resilience and assemblage of soil microbiome in response to environmental disturbances in agro-ecosystems at the species and functional levels.

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The impact of stand age and fertilization on the soil microbiome of Miscanthus × giganteus

Phytobiomes Journal ◽

10.1094/pbiomes-01-20-0014-fi ◽

2020 ◽

Author(s):

Lanying Ma ◽

Fernando Igne Rocha ◽

Jaejin Lee ◽

Jinlyung Choi ◽

Mauricio Tejera ◽

...

Keyword(s):

Community Structure ◽

Microbial Community ◽

Microbial Communities ◽

Microbial Community Structure ◽

Soil Microbial Communities ◽

N Fertilizer ◽

Soil Microbiome ◽

Stand Age ◽

Soil Microbial ◽

Miscanthus Giganteus

Yield of the perennial grass Miscanthus × giganteus has shown an inconsistent and unpredictable response to nitrogen (N) fertilizer, yet fertilization underpins the crop’s environmental and economic sustainability. The interactions among soil microbial communities, N availability, and M. × giganteus and management may explain changes in plant productivity. In this study, soil samples from different stand ages of M. × giganteus in a replicated chronosequence field trial were used to investigate the effects of stand age and N fertilizer rates on microbial community structure. We hypothesized that there is a definable M. × giganteus soil microbiome and that this community varies significantly with stand age and fertilization. Our results showed that the main phyla in soil microbial communities, regardless of plant age, are similar but microbial community structures are significantly different. The variation in observed microbial communities generally decreases in older stand ages. The amount of N fertilizer applied also affected the microbial community structure associated with different aged M. × giganteus. Specifically, the relative abundance of Proteobacteria (Alphaproteobacteria and Gammaproteobacteria) and Acidobacteria (Subgroup Gp1) increased shortly after fertilization and were more associated with younger M. × giganteus. Further, our results show a significant relationship between bacterial alpha diversity and fertilization rates and that this response is also impacted by stand age. Overall, our results emphasize linkages between microbial community structure, plant age, and fertilization in M. × giganteus.

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