Effects of chemical contaminants on the ecology and evolution of organisms a review

Chemistry and Ecology, Journal Year: 2023, Volume and Issue: 39(10), P. 1071 - 1107

Published: Nov. 26, 2023

Chemical contaminants in the environment have become a growing concern due to their detrimental effects on ecology and evolution of organisms. Understanding impacts these is crucial for mitigating consequences promoting sustainable practices. This study aims examine direct indirect chemical organisms, explore role driving evolutionary processes, provide conceptual framework understanding ecological contaminants. A comprehensive review existing literature case studies was conducted assess organisms at various levels biological organisation. including physiological disruptions, behavioural changes, reduced reproductive success. These also drive processes by imposing selective pressures altering genetic diversity within populations. The are far-reaching multifaceted. It develop that considers interconnectedness systems understand mitigate Implementing strategy sustainability vital safeguarding ecosystems, human health, harmonious coexistence with natural world.

Language: Английский

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Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Jan. 16, 2025

Abstract Soil is a depletable and non-renewable resource essential for food production, crop growth, supporting ecosystem services, such as the retaining cycling of various elements, including water. Therefore characterization preservation soil biological health key point development sustainable agriculture. We conducted comprehensive review use Artificial Intelligence (AI) techniques to develop forecasting models based on microbiota data able monitor predict health. also investigated potentiality AI-based Decision Support Systems (DSSs) improving microorganisms enhance fertility. While available studies are limited, potential applications AI seem relevant predictive fertility, its properties activities, implement precision agriculture, safeguarding ecosystems, bolstering resilience, ensuring production high-quality food.

Language: Английский

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Microbiological Indicators for Assessing the Effects of Agricultural Practices on Soil Health: A Review

Agronomy, Journal Year: 2025, Volume and Issue: 15(2), P. 335 - 335

Published: Jan. 28, 2025

Agricultural practices significantly impact soil properties and ecological functions, highlighting the importance of comprehensive health assessments. Traditionally, these assessments have focused on physical chemical indicators, often neglecting microbiological properties. This review explores potential indicators in evaluating effects agricultural emphasizing their significance addressing challenges associated with application. A key advantage is high sensitivity rapid response to environmental changes. These can be grouped into three categories: microbial biomass abundance, taxonomic composition diversity, activity. Among these, carbon, basal respiration, decomposition rates are considered most reliable interpretable indicators. Microbial diversity remain limited diagnostic predictive capabilities due interpretation. Integrating offers a more holistic understanding interactions between health, enhancing our ability monitor, manage, preserve ecosystems. To facilitate adoption production land management, further efforts needed improve interpretability establish standardized criteria for assessment.

Language: Английский

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Fungal communities as dual indicators of river biodiversity and water quality assessment

Water Research, Journal Year: 2024, Volume and Issue: 253, P. 121252 - 121252

Published: Feb. 3, 2024

Given their ecological importance, bioindicators are used for the assessment of health river ecosystems. This study explored fungal compositions and potential taxa as indicating water quality Mekong River, use indicators River was not previously well characterized. The exhibited dynamic variations in both physicochemical/hydrochemical properties communities according to seasons locations. results revealed dominance alkaline earth metal ions weak acids water. magnesium-bicarbonate type found dry season, but became chloride-calcium or mixed rainy season at downstream sites. Fungal composition analysis Chytridiomycota intermediate periods, Ascomycota Basidiomycota season. were influenced by stochastic deterministic assembly processes, mainly homogenous selection, heterogeneous dispersal limitation. extent environmental filtering implied that some affected conditions, suggesting possibility identifying certain suitable being quality. Subsequently, RFE with Random Forest SVM model identified specific bins mostly consisting Agaricomycetes (mainly Polyporales, Agaricales, Auriculariales), Rozellomycota could predict ambient irrigation high selectivity sensitivity. These thus promote assess river.

Language: Английский

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Greater transmission capacities and small-world characteristics of bacterial communities in the above- than those in the below- ground niches of a typical submerged macrophyte, Vallisneria natans

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 903, P. 166229 - 166229

Published: Aug. 14, 2023

Language: Английский

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Assessment of N-related microbial processes in the soil of the Polesie National Park and adjacent areas, including reclaimed land

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 373, P. 124002 - 124002

Published: Jan. 1, 2025

Language: Английский

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Microbial Indicators Show the Rehabilitation Flow of Soil Microbiota After the Brumadinho Dam Collapse

Mining, Journal Year: 2025, Volume and Issue: 5(1), P. 16 - 16

Published: Feb. 26, 2025

Iron ore extraction can lead to significant environmental degradation, particularly due the generation of tailings during beneficiation process. This issue was highlighted by B1 dam collapse in Brumadinho, Brazil, 2019. Therefore, study and monitoring affected areas is essential assess soil quality throughout rehabilitation process, whether through natural recovery or active practices. Microbial indicators serve as valuable tools track these areas, given their high sensitivity rapid response changes. The aim this evaluate microbial indicators, such enzyme activity, biomass carbon, basal respiration diversity, select approaches for area mining Brumadinho. results indicated that reference initially outperformed on all evaluated bioindicators, highlighting stress zone. Over course study, two began show greater similarity, suggesting a together with return vegetation. Indicators carbon went from values close 50 mg C Kg soil−1 area, around 200, statistically equal reference. qCO2 also varied those over time, variated first collection 0.25 C-CO2 C−1 h−1 against 0.1 area; last collection, both presented 0.2. Enzymatic activity had superior about being urease, arylsulfatase more sensitive differences between time. metataxonomic data again revealed indicator species each environment, including genera Bacillus, Mycobacterium, Acidibacter, Burkholderia representative reference, Ramlibacter, Sinomonas, Psedarthrobacter, Knoellia area. By end applicability microbiota its ecosystem services successfully demonstrated. In addition, specific were proposed iron tailings.

Language: Английский

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Case study on agroecosystem management: Seasonal soil microbiome and maize yield response to an innovative NPK mineral fertilizer enriched with beneficial bacterial strains

Applied Soil Ecology, Journal Year: 2025, Volume and Issue: 210, P. 106084 - 106084

Published: April 9, 2025

Language: Английский

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Characteristics of bacterial communities in aquatic ecosystems near the Collins glacial (Fildes Peninsula, Antarctica)

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111788 - 111788

Published: March 1, 2024

Bacteria are vital for maintaining ecosystem function in the rapidly changing environment, but limited data was reported regarding characteristics of bacterial communities along regional-scale aquatic ecosystems on Fildes Peninsula (Antarctica), where vulnerable habitats have been affected by dramatic retreat Collins glacier. This study revealed differences and hidden connections two (periglacial lakes coves) near glacier using amplicon sequencing. The results showed periglacial coves harbored 568 388 unique OTUs, respectively, also shared 199 common which meant there existed some linkages between ecosystems. Compared to lakes, exhibited decreased richness Shannon index (P < 0.05) were dominated Proteobacteria, Cyanobacteria, Bacteroidota, while Actinobacteria, Proteobacteria. Periglacial significantly distinct communities, their β-diversity both turnover. Indicator species identified coves, such as Polaribacter Sulfitobacter, predicted more involved S cycle. FAPROTAX PICRUSt2 analysis higher metabolic potential N cycles coves. pH a environmental factor influencing community variation habitats. As indicated network analysis, lake greater complexity stability, with robustness value smaller shifts natural connectivity. It could be concluded that similar factors ecosystems, significant diversity co-occurrence networks, influenced habitat differentiation. These further deepen our understanding typical glacier, providing new insights into impact downstream

Language: Английский

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Estimating taxonomic and functional structure along a tropical estuary: linking metabolic traits and aspects of ecosystem functioning

Microbiology Spectrum, Journal Year: 2024, Volume and Issue: 12(10)

Published: Aug. 20, 2024

ABSTRACT Microbial life forms are among the most ubiquitous on Earth, yet many remain understudied in Caribbean estuaries. We report prokaryote community composition of Urabá Estuary Colombian using 16S rRNA gene-transcript sequencing. also assessed potential functional diversity through 38 metabolic traits inferred from gene data. Water samples were collected six sampling stations at two depths with contrasting light-penetration conditions along an approximately 100 km transect Gulf December 2019. Non-metric multidimensional scaling analysis grouped into distinct clusters and between depths. The primary variables influencing station, depth, salinity, dissolved oxygen levels. Twenty percent genera (i.e., 58 out 285) account for 95% differences groups All studied showed some significant relationship tested environmental variables, especially salinity except temperature. Another non-metric analysis, based community-weighted mean traits, over depth. Biodiversity facets, such as richness, evenness, redundancy, indicated that variations—stemming river discharges—introduce imbalance surface communities closer to estuary’s head bottom ocean. Our research broadens use transcripts beyond mere taxonomic assignments, furthering field trait-based ecology transitional aquatic ecosystems. IMPORTANCE resilience a dynamic ecosystem is directly tied ability its microbes navigate gradients. This study delves changes within (Colombian Caribbean) first time. integrate data (taxonomic functional) variability gain understanding this under-researched multi-faceted macroecological framework. found shifts influenced by physical-chemical fluctuations across gradient. Furthermore, we identified disparity diversity. Near-surface exhibited compared deeper situated farther away. serves roadmap posing new inquiries about highly ecosystems, pushing forward domain multi-trait-based ecology.

Language: Английский

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