Indicators of arable soils fatigue – Bacterial families and genera: A metagenomic approach

Wolińska, Agnieszka; Kuźniar, Agnieszka; Zielenkiewicz, Urszula; Banach, Artur; Błaszczyk, Mieczysław

doi:10.1016/j.ecolind.2018.05.033

Cited by 48 publications

(39 citation statements)

References 60 publications

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“…The conversion of forests to farmland has been studied most frequently worldwide, with more research in tropical environments [7], which not only bring about great challenges for maintaining forest ecosystems, but also have a potential impact on terrestrial ecosystems. It has long been recognized that changes in land use types alter a soil's physical and chemical properties, the structure and function of an ecosystem, and soil quality [8][9]. Also, land-use change significantly affects the dynamics and stability of soil organic carbon (SOC) and enzyme activities [10].…”

Section: Introductionmentioning

confidence: 99%

“…Surveys targeting the effects of land use change on soil microbial communities have been extensively studied in grassland, jungle, and forest ecosystems, frequently contrasting between natural forests, jungles, and plantations [26,10], natural grassland and agricultural fields [27], forest, grassland and no-till cropping [28]. Overall, changes in land use patterns can significantly affect soil microbial community diversity and composition [29],as well as their metabolic activity [9] -especially between wooded and agricultural soils [30]. In addition, land use change shifts the decomposer community structure and negatively affects litter decomposition [26].…”

Section: Introductionmentioning

confidence: 99%

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Functional Distribution of Bacterial Community under Different Land Use Patterns Based on FaProTax Function Prediction

Liang¹,

Deng²,

Jiang³

et al. 2020

Pol. J. Environ. Stud.

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Soil microorganisms play an important role in biogeochemical cycling. The bacterial community functional community profiles across different land use types in the mountainous region of eastern Liaoning Province, China, such as natural secondary forest (Quercus mongolica (QM)), shrub wood (SW), coniferous planation (Larix gmelini (LG), and Pinus koraiensis (PK)), and agricultural land (Zea mays (ZM)) were evaluated using high-throughput sequencing of the bacterial 16S rDNA gene, and predicted based on the FaProTax database. Bacterial functional groups varied across samples under different land use patterns. A total of 53 functional groups were acquired using FaProTaxin accordance with the classification annotation results of 16S rDNA sequences. These functional groups contained 5809 OTUs, accounting for 66.25% of all OTUs. The dominant functions were chemoheterotrophs and aerobicchemoheterotrophy with average relative abundance of 21.69% and 21.01%, respectively. In addition, we detected 15 and 12 ecological function groups related to the carbon and nitrogen cycles, respectively. The bacterial functional groups of ZM were clearly separated from those of PK, LG, QM, and SW, indicating that functional groups of agriculture soil differed from those of forest soils. Furthermore, the bacterial functional groups of LG and PK were obviously separated from those of QM and SW, suggesting that functional groups of broad leaf forest differed from those of coniferous forests. Also, we analyzed the main factors that influence soil bacterial community functional groups under different land use patterns. It was found that soil environmental conditions, especially soil pH, NH 4

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Functional Distribution of Bacterial Community under Different Land Use Patterns Based on FaProTax Function Prediction

Liang¹,

Deng²,

Jiang³

et al. 2020

Pol. J. Environ. Stud.

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“…Agricultural management tactics, such as reduced tillage, that limit erosion and preserve the volume of topsoil supporting global food production systems are widely recognized [1]. More recently, the potential for agricultural management practices to influence soil biological populations and processes, and thereby improve the quality or health of soils has received increased attention [2][3][4]. Soils that possess good structure permit air and water to move freely through connected pore spaces and stimulate microbial activity.…”

Section: Introductionmentioning

confidence: 99%

“…A number of national programs have been established to support research on the biology of agricultural soils, including prominent programs in the EU, U.S., Canada, Brazil, Argentina, Australia and Scandinavian countries, among others. A great deal of research has been conducted to investigate the effect on soil properties of one or two management factors, such as tillage or cover cropping, that are imposed on otherwise conventionally-managed systems [2][3][4]. Crop production is a complex system with multiple interacting factors varying on temporal and spatial scales.…”

Section: Introductionmentioning

confidence: 99%

Stacking Agricultural Management Tactics to Promote Improvements in Soil Structure and Microbial Activities

2019

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Linking agricultural management tactics to quantifiable changes in soil health-related properties is a key objective for increasing adoption of the most favorable management practices. We used two long-term, no-till cropping studies to illustrate the variable patterns of response of soil structure indices and microbial activity to additional management tactics, including crop rotational diversity, residue management and cover cropping. We found that observable effects of management tactics on soil properties were often dependent on the current crop phase sampled, even though the treatments were well-established. In some cases, a single additional management tactic produced a response, two tactics each produced a response and sometimes there were interactions between tactics. However, importantly, we never observed a negative effect for any of the response variables when stacking soil health building practices in no-till cropping systems. The collective results from the two field studies illustrate that soil health improvements with stacking management tactics are not always simply additive and are affected by temporal relationships inherent to the treatments. We conclude that the implementation of multiple positive management tactics increases the likelihood that improvements in soil properties can be documented with one or more of the proxy measures for soil health.

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“…Thus, comprehensive knowledge of the structure and distribution of Actinobacteria in the soil environment is extremely desirable, as it can help to recognize positive or dangerous effects of the presence of Actinobacteria and, secondly, it can provide understanding of the impact of global environmental changes on the world's microbial communities [2]. Until recently, Actinobacteria have been mainly studied with conventional (culturing) methods [4][5][6]; however, Next Generation Sequencing -NGS techniques are currently applied for better recognition of the soil microbiota diversity [2,[15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Actinobacteria Structure in Autogenic, Hydrogenic and Lithogenic Cultivated and Non-Cultivated Soils: A Culture-Independent Approach

et al. 2019

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The aim of the study was to determine the Actinobacteria structure in cultivated (C) versus non-cultivated (NC) soils divided into three groups (autogenic, hydrogenic, lithogenic) with consideration its formation process in order to assess the Actinobacteria sensitivity to agricultural soil use and soil genesis and to identify factors affecting their abundance. Sixteen C soil samples and sixteen NC samples serving as controls were taken for the study. Next generation sequencing (NGS) of the 16S rRNA metagenomic amplicons (Ion Torrent™ technology) and Denaturing Gradient Gel Electrophoresis (DGGE) were applied for precise determination of biodiversity. Generally, greater abundance of Actinobacteria in the NC soils relative to the C soils was found. Moreover, it was indicated that the actinobacterial diversity depended on both the soil genesis and the land use; however, this effect directly depended on the particular family and genera. Two factors: redox potential (Eh) and total carbon (TC) seemed to had a significant effect on the diversity of Actinobacteria. More precisely, Actinobacteria from the NC soils displayed a greater affinity for each other and were clearly influenced by Eh, whilst those from the C soils were mostly influenced by TC.

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Indicators of arable soils fatigue – Bacterial families and genera: A metagenomic approach

Cited by 48 publications

References 60 publications

Functional Distribution of Bacterial Community under Different Land Use Patterns Based on FaProTax Function Prediction

Functional Distribution of Bacterial Community under Different Land Use Patterns Based on FaProTax Function Prediction

Stacking Agricultural Management Tactics to Promote Improvements in Soil Structure and Microbial Activities

Actinobacteria Structure in Autogenic, Hydrogenic and Lithogenic Cultivated and Non-Cultivated Soils: A Culture-Independent Approach

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