Pollution-Induced Tolerance of Soil Bacterial Communities to Oxytetracycline-Spiked Manure

Abstract The use of manure as a fertilizer is a common agricultural practice that can improve soil physicochemical and biological properties. However, antibiotics and their metabolites are often present, leading to the adaptation of soil bacterial communities to their presence. The aim of this study was to assess the effects of the extensively used, broad-spectrum antibiotic oxytetracycline on soil microbial community adaptation using a pollution-induced community tolerance assay. Manure-amended soil was spiked with oxytetracycline (0, 2, 20, 60, 150, and 500 mg kg−1) three times every ten days in the selection phase. The detection phase was conducted in Biolog EcoPlates with a second oxytetracycline exposure (0, 5, 20, 40, 60, and 100 mg L−1). All treatments demonstrated decreased metabolic activity after exposure to ≥ 5 mg L−1 oxytetracycline during the detection phase. Meanwhile, a significant increase in tolerance was observed following exposure to ≥ 20 mg oxytetracycline per kg soil during the selection phase. Therefore, the pollution-induced community tolerance approach with Biolog EcoPlates was a useful system for the detection of antibiotic selection pressures on soil bacterial communities. It is important to properly manage animal waste before their application to the soil to reduce the occurrence of antibiotic-resistance in the environment.

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Pollution-induced tolerance of soil bacterial communities in meadow and forest ecosystems polluted with heavy metals

European Journal of Soil Biology ◽

10.1016/j.ejsobi.2009.05.005 ◽

2009 ◽

Vol 45 (4) ◽

pp. 363-369 ◽

Cited By ~ 25

Author(s):

Anna M. Stefanowicz ◽

Maria Niklińska ◽

Ryszard Laskowski

Keyword(s):

Heavy Metals ◽

Bacterial Communities ◽

Forest Ecosystems ◽

Soil Bacterial Communities ◽

Soil Bacterial ◽

Induced Tolerance

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Soil bacterial community and functional shifts in response to altered snowpack in moist acidic tundra of northern Alaska

SOIL ◽

10.5194/soil-2-459-2016 ◽

2016 ◽

Vol 2 (3) ◽

pp. 459-474 ◽

Cited By ~ 10

Author(s):

Michael P. Ricketts ◽

Rachel S. Poretsky ◽

Jeffrey M. Welker ◽

Miquel A. Gonzalez-Meler

Keyword(s):

Climate Change ◽

Bacterial Community ◽

Bacterial Communities ◽

Bacterial Community Structure ◽

Chemical Properties ◽

Winter Precipitation ◽

Snow Accumulation ◽

Soil Microbial ◽

Soil Bacterial Communities ◽

Soil Bacterial

Abstract. Soil microbial communities play a central role in the cycling of carbon (C) in Arctic tundra ecosystems, which contain a large portion of the global C pool. Climate change predictions for Arctic regions include increased temperature and precipitation (i.e. more snow), resulting in increased winter soil insulation, increased soil temperature and moisture, and shifting plant community composition. We utilized an 18-year snow fence study site designed to examine the effects of increased winter precipitation on Arctic tundra soil bacterial communities within the context of expected ecosystem response to climate change. Soil was collected from three pre-established treatment zones representing varying degrees of snow accumulation, where deep snow ∼ 100 % and intermediate snow ∼ 50 % increased snowpack relative to the control, and low snow ∼ 25 % decreased snowpack relative to the control. Soil physical properties (temperature, moisture, active layer thaw depth) were measured, and samples were analysed for C concentration, nitrogen (N) concentration, and pH. Soil microbial community DNA was extracted and the 16S rRNA gene was sequenced to reveal phylogenetic community differences between samples and determine how soil bacterial communities might respond (structurally and functionally) to changes in winter precipitation and soil chemistry. We analysed relative abundance changes of the six most abundant phyla (ranging from 82 to 96 % of total detected phyla per sample) and found four (Acidobacteria, Actinobacteria, Verrucomicrobia, and Chloroflexi) responded to deepened snow. All six phyla correlated with at least one of the soil chemical properties (% C, % N, C : N, pH); however, a single predictor was not identified, suggesting that each bacterial phylum responds differently to soil characteristics. Overall, bacterial community structure (beta diversity) was found to be associated with snow accumulation treatment and all soil chemical properties. Bacterial functional potential was inferred using ancestral state reconstruction to approximate functional gene abundance, revealing a decreased abundance of genes required for soil organic matter (SOM) decomposition in the organic layers of the deep snow accumulation zones. These results suggest that predicted climate change scenarios may result in altered soil bacterial community structure and function, and indicate a reduction in decomposition potential, alleviated temperature limitations on extracellular enzymatic efficiency, or both. The fate of stored C in Arctic soils ultimately depends on the balance between these mechanisms.

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Variations in soil nutrient dynamics and bacterial communities in long-term tea monoculture production systems

10.1101/2021.04.25.441296 ◽

2021 ◽

Author(s):

Heng Gui ◽

Lichao Fan ◽

Donghui Wang ◽

Peng Yan ◽

Xin Li ◽

...

Keyword(s):

Bacterial Communities ◽

Nutrient Dynamics ◽

Soil Microbial Communities ◽

Soil Nutrient ◽

Stand Age ◽

Soil Microbial ◽

Soil Bacterial Communities ◽

Tea Plantations ◽

Soil Bacterial

AbstractLong-term monoculture agriculture systems could lead to soil degradation and yield decline. The ways in which soil microbiotas interact with one another, particularly in response to long-term tea monoculture systems are currently unclear. In this study, through the comparison of three independent tea plantations across eastern China composed of varying stand ages (from 3 years to 90 years after conversion from forest), we found that long-term tea monoculture led to significant increases in soil total organic carbon (TOC) and microbial nitrogen (MBN). Additionally, the structure, function and co-occurrence network of soil microbial communities were investigated by pyrosequencing 16S rRNA genes. The pyrosequencing analysis revealed that structures and functions of soil bacterial communities were significantly affected by different stand ages of tea plantations, but sampling sites and land-use conversion (from forest to tea plantation) still outcompeted stand age to control the diversity and structure of soil bacterial communities. Further RDA analysis revealed that the C and N availability improvement in tea plantation soils led to variation of structure and function in soil microbial communities. Moreover, co-occurrence network analysis of soil bacterial communities also demonstrated that interactions among soil bacteria taxa were strengthened with the increasing stand age of respective tea stands. Overall, this study provides a comprehensive understanding of the impact of long-term monoculture stand age on soil nutrient dynamics and bacterial communities in tea production.

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Metagenomic Taxonomical Analysis of Soil Microbial Colonies Via qPCR [Dordt College]

Journal of Student Research ◽

10.47611/jsr.vi.671 ◽

2019 ◽

Author(s):

Lillian S Smith ◽

Bennett Harmelink ◽

Jeff Ploegstra

Keyword(s):

Bacterial Communities ◽

Quantitative Polymerase Chain Reaction ◽

Shotgun Sequencing ◽

Soil Microbial ◽

Dna Library ◽

Taxonomic Analysis ◽

Soil Bacterial Communities ◽

Specialized Equipment ◽

Soil Bacterial ◽

Similar Accuracy

A novel metagenomics method was produced for taxonomic analysis of a community of soil bacteria via quantitative polymerase chain reaction (qPCR). Taxonomies were confirmed via phylum-specific primers targeting various regions of the 16S DNA gene. Through this method, the effects of common herbicides on soil bacterial communities were determined. This method was verified by direct comparison to shotgun sequencing of the same DNA library used for qPCR. Taxonomic analysis of a similar accuracy as metagenomic shotgun sequencing was achieved. The novel method improves the ability to taxonomically analyze soil bacterial communities without specialized equipment for DNA sequencing.

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