Constructed wetlands (CWs) are complicated ecosystems that include vegetation, sediments, and the associated microbiome mediating numerous processes in wastewater treatment. CWs have various functional zones where contrasting biochemical processes occur. Since these zones are characterized by different particle-size composition, physicochemical conditions, and vegetation, one can expect the presence of distinct microbiomes across different CW zones. Here, we investigated spatial changes in microbiomes along different functional zones of a free-water surface wetland located in Moscow, Russia. The microbiome structure was analyzed using Illumina MiSeq amplicon sequencing. We also determined particle diameter and surface area of sediments, as well as chemical composition of organic pollutants in different CW zones. Specific organic particle aggregates similar to activated sludge flocs were identified in the sediments. The highest accumulation of hydrocarbons was found in the zones with predominant sedimentation of fine fractions. Phytofilters had the highest rate of organic pollutants decomposition and predominance of , and . The sedimentation tank had lower microbial diversity, and higher relative abundances of , , and , as well as higher predicted abundances of genes related to methanogenesis and methanotrophy. Thus, spatial changes in microbiomes of constructed wetlands can be associated with different types of wastewater treatment processes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603099PMC
http://dx.doi.org/10.3390/microorganisms8101604DOI Listing

Publication Analysis

Top Keywords

spatial changes
12
functional zones
12
zones free-water
8
free-water surface
8
surface wetland
8
constructed wetlands
8
wastewater treatment
8
changes microbiomes
8
organic pollutants
8
zones
7

Similar Publications

Hearing loss (HL) in mid-life has been suggested as a risk factor for cognitive decline. It is unclear whether this relationship is due to deprivation of auditory input alone, degenerative processes, or a combination. Animal models are useful to investigate underlying neural mechanisms as human studies can be confounded by various factors.

View Article and Find Full Text PDF

Integrating Ecological Suitability and Socioeconomic Feasibility at Landscape Scale to Restore Biodiversity and Ecosystem Services in Southern Chile.

Environ Manage

December 2024

Departamento de Ciencias de la Vida - UD Ecología, Edificio de Ciencias, Universidad de Alcalá, E-28805, Alcalá de Henares, Spain.

Deforestation and forest degradation are key drivers of biodiversity loss and global environmental change. Ecosystem restoration is recognized as a global priority to counter these processes. Forest restoration efforts have commonly adopted a predominantly ecological approach, without including broader socioeconomic variables and the characteristics of the rural context.

View Article and Find Full Text PDF

Stable isotopes of carbon (δC) and nitrogen (δN) are commonly employed to reconstruct past change in marine ecosystems and nutrient cycling. However, multiple biogeochemical and physical drivers govern spatiotemporal variability of these isotopic signals, particularly in dynamic coastal systems, complicating interpretation. Here, we coupled a modern multi-year (2010-2019) δC and δN isoscape record from intertidal mussels (Mytilus californianus) with high-resolution ocean model output and satellite chlorophyll-a observations in the California Current System (32°-43° N) to identify major drivers of isotopic variability.

View Article and Find Full Text PDF

Groundwater monitoring is a crucial part of groundwater remediation that produces data from various strategically placed wells to maintain a water quality standard. Using the United States Department of Energy's Hanford 100-HRD area well data, recurrent neural networks are trained in the form of one-dimensional Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks, and Dual-stage Attention-based LSTM (DA-LSTM) networks to reduce monitoring costs and increase data sampling responsiveness that is subject to laboratory analysis delays, with the best network being DA-LSTM achieving an R score of 0.82.

View Article and Find Full Text PDF

Intraspecific variation is important for species' long-term persistence in changing environments. Conservation strategies targeting intraspecific variation often rely on the identification of management or policy units below the species level based on biological differences among populations. To identify management units, this paper examines intraspecific divergence of Lake Trout (Salvelinus namaycush) in Great Slave Lake (GSL), Canada, using low-coverage whole-genome sequencing data.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!