Effect of nitrogen fertilization on the abundance of nitrogen cycling genes in agricultural soils: A meta-analysis of field studies

Soil Biology and Biochemistry, Journal Year: 2018, Volume and Issue: 127, P. 71 - 78

Published: Sept. 4, 2018

Language: Английский

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Soil pH correlates with the co-occurrence and assemblage process of diazotrophic communities in rhizosphere and bulk soils of wheat fields

Soil Biology and Biochemistry, Journal Year: 2018, Volume and Issue: 121, P. 185 - 192

Published: March 20, 2018

Language: Английский

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Suppressed N fixation and diazotrophs after four decades of fertilization

Microbiome, Journal Year: 2019, Volume and Issue: 7(1)

Published: Oct. 31, 2019

N fixation is one of the most important microbially driven ecosystem processes on Earth, allowing to enter soil from atmosphere, and regulating plant productivity. A question that remains be answered whether such a fundamental process would still in an over-fertilized world, as long-term effects fertilization associated diazotrophic communities remain tested. Here, we used 35-year experiment, investigated changes rates community response inorganic organic fertilization.It was found drastically reduced (dropped by 50%) after almost four decades fertilization. Our results further indicated functionality losses were with reductions relative abundance keystone phylogenetically clustered fixers Geobacter spp.Our work suggests might have selected against specific groups fixers. study provides solid evidence certain taxa will largely suppressed more fertilized implications for biodiversity functions.

Language: Английский

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Agricultural management and plant selection interactively affect rhizosphere microbial community structure and nitrogen cycling

Microbiome, Journal Year: 2019, Volume and Issue: 7(1)

Published: Nov. 7, 2019

Abstract Background Rhizosphere microbial communities are key regulators of plant performance, yet few studies have assessed the impact different management approaches on rhizosphere microbiomes major crops. shaped by interactions between agricultural and host selection processes, but often consider these factors individually rather than in combination. We tested impacts (M) effects (R) community structure co-occurrence networks maize roots collected from long-term conventionally organically managed maize-tomato agroecosystems. also explored interaction (M × R) how it diversity composition, differential abundance, indicator taxa, network structure, nitrogen-cycling processes. Results Host processes moderate influence communities, although bacteria fungi respond differently to management. found that plants recruit management-system-specific taxa shift N-cycling pathways rhizosphere, distinguishing this soil compartment bulk soil. conventional organic systems were more similar their respective soils, composition was affected both M R effects. In contrast, fungal only management, selection. Quantification six genes ( nifH , amoA [bacterial archaeal], nirK nrfA nosZ ) revealed abundance higher system. Conclusions Plant interacts with practices shape patterns, at least one process. Reframing research priorities better understand adaptive plant-microbe feedbacks include as a significant moderating outcomes could help guide plant-oriented strategies improve productivity agroecosystem sustainability.

Language: Английский

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Long-term fertilization influences community assembly processes of soil diazotrophs

Soil Biology and Biochemistry, Journal Year: 2018, Volume and Issue: 126, P. 151 - 158

Published: Sept. 4, 2018

Language: Английский

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Effects of Nitrogen and Phosphorus Inputs on Soil Bacterial Abundance, Diversity, and Community Composition in Chinese Fir Plantations

Frontiers in Microbiology, Journal Year: 2018, Volume and Issue: 9

Published: July 19, 2018

Nutrient inputs to forest ecosystems significantly influence aboveground plant community structure and ecosystem functioning. However, our knowledge of the nitrogen (N) and/or phosphorus (P) on belowground microbial communities in subtropical forests is still unclear. In this study, we used quantitative polymerase chain reaction Illumina Miseq sequencing bacterial 16S rRNA gene investigate abundance, diversity, composition a Chinese fir plantation. The fertilization regimes were as follows: untreated control (CK), P amendment (P), N (N), with (NP). Additions decreased soil pH abundance by 3.95 (from 4.69 3.95) × 109 copies g-1 dry 9.27 soil), respectively. Bacterial richness diversity addition (N NP) rather than only input. Proteobacteria, Acidobacteria, Actinobacteria major phylum across all treatments. Nitrogen increased relative Proteobacteria 42.0 10.5%, respectively, while it reduced that Acidobacteria 26.5%. CK treatments was different from NP upon principle coordinates analysis. Phosphorus did not affect communities, no interactions between traits observed. Soil mineral availability appeared have cooperative effect structure, being key influencing factor canonical correspondence These results indicate inorganic affected both forests.

Language: Английский

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Second and Outer Coordination Sphere Effects in Nitrogenase, Hydrogenase, Formate Dehydrogenase, and CO Dehydrogenase

Chemical Reviews, Journal Year: 2022, Volume and Issue: 122(14), P. 11900 - 11973

Published: July 18, 2022

Gases like H

Language: Английский

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Machine learning and remote sensing techniques applied to estimate soil indicators – Review

Ecological Indicators, Journal Year: 2021, Volume and Issue: 135, P. 108517 - 108517

Published: Dec. 30, 2021

The demand for food based on intensive agriculture has decreased soil quality, posing great challenges such as increasing agricultural productivity and promoting environmental sustainability. Thus, researchers have focused developing models estimating quality artificial intelligence techniques the processing of multidimensional data from agro-industrial systems, which provide useful information farmers about management crop conditions. However, a model application these new technologies in medium low-scale systems not been identified. Therefore, review recent studies yield prediction estimation chemical, physical, biological indicators (SQI), incorporate different machine learning (ML) to process remote sensing (RS) is presented. advantages disadvantages are also analyzed for: SQI estimates at regional local scale, spectral bands used analysis plowed soils (bare soils) cultivation plots, selection minimun set (MDS), use unmanned aerial vehicle (UAV) satellite platforms, pre-processing, ML algorithms databases (agro-industrial systems). Finally, we present help estimate RS data, inputs unit come four class sets (RS, SQI, data). Crop uses production adjust practices therefore improve yield.

Language: Английский

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Harnessing biological nitrogen fixation in plant leaves

Trends in Plant Science, Journal Year: 2023, Volume and Issue: 28(12), P. 1391 - 1405

Published: June 1, 2023

Language: Английский

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Effects of organic fertilizers on plant growth and the rhizosphere microbiome

Applied and Environmental Microbiology, Journal Year: 2024, Volume and Issue: 90(2)

Published: Jan. 9, 2024

Application of organic fertilizers is an important strategy for sustainable agriculture. The biological source determines their specific functional characteristics, but few studies have systematically examined these functions or assessed health risk to soil ecology. To fill this gap, we analyzed 16S rRNA gene amplicon sequencing data from 637 samples amended with plant- and animal-derived (hereafter plant animal fertilizers). Results showed that increased the diversity microbiome, while maintained stability microbial community. Microcosm experiments verified were beneficial root development carbon cycle pathways, enriched nitrogen pathways. Compared fertilizers, harbored a lower abundance factors such as antibiotic resistance genes viruses. Consequently, might be more suitable long-term application in This work provides guide fertilizer selection perspective microecology promotes agriculture.IMPORTANCEThis study valuable guidance use agricultural production microbiome ecological risk.

Language: Английский

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