Green Infrastructure Design Influences Communities of Urban Soil Bacteria

The importance of natural ecosystem processes is often overlooked in urban areas. Green Infrastructure (GI) features have been constructed in urban areas as elements to capture and treat excess urban runoff while providing a range of ancillary benefits, e.g., ecosystem processes mediated by microorganisms that improve air and water quality, in addition to the associations with plant and tree rhizospheres. The objective of this study was to characterize the bacterial community and diversity in engineered soils (Technosols) of five types of GI in New York City; vegetated swales, right of way bioswales (ROWB; including street-side infiltration systems and enhanced tree pits), and an urban forest. The design of ROWB GI features directly connects with the road to manage street runoff, which can increase the Technosol saturation and exposure to urban contaminants washed from the street and carried into the GI feature. This GI design specifically accommodates dramatic pulses of water that influence the bacterial community composition and diversity through the selective pressure of contaminants or by disturbance. The ROWB had the highest biodiversity, but no significant correlation with levels of soil organic matter and microbially-mediated biogeochemical functions. Another important biogeochemical parameter for soil bacterial communities is pH, which influenced the bacterial community composition, consistent with studies in non-urban soils. Bacterial community composition in GI features showed signs of anthropogenic disturbance, including exposure to animal feces and chemical contaminants, such as petroleum products. Results suggest the overall design and management of GI features with a channeled connection with street runoff, such as ROWB, have a comprehensive effect on soil parameters (particularly organic matter) and the bacterial community. One key consideration for future assessments of GI microbial community would be to determine the source of organic matter and elucidate the relationship between vegetation, Technosol, and bacteria in the designed GI features

Green Infrastructure Design Influences Communities of Urban Soil Bacteria

The importance of natural ecosystem processes is often overlooked in urban areas. Green Infrastructure (GI) features have been constructed in urban areas as elements to capture and treat excess urban runoff while providing a range of ancillary benefits, e.g., ecosystem processes mediated by microorganisms that improve air and water quality, in addition to the associations with plant and tree rhizospheres. The objective of this study was to characterize the bacterial community and diversity in engineered soils (Technosols) of five types of GI in New York City; vegetated swales, right of way bioswales (ROWB; including street-side infiltration systems and enhanced tree pits), and an urban forest. The design of ROWB GI features directly connects with the road to manage street runoff, which can increase the Technosol saturation and exposure to urban contaminants washed from the street and carried into the GI feature. This GI design specifically accommodates dramatic pulses of water that influence the bacterial community composition and diversity through the selective pressure of contaminants or by disturbance. The ROWB had the highest biodiversity, but no significant correlation with levels of soil organic matter and microbially-mediated biogeochemical functions. Another important biogeochemical parameter for soil bacterial communities is pH, which influenced the bacterial community composition, consistent with studies in non-urban soils. Bacterial community composition in GI features showed signs of anthropogenic disturbance, including exposure to animal feces and chemical contaminants, such as petroleum products. Results suggest the overall design and management of GI features with a channeled connection with street runoff, such as ROWB, have a comprehensive effect on soil parameters (particularly organic matter) and the bacterial community. One key consideration for future assessments of GI microbial community would be to determine the source of organic matter and elucidate the relationship between vegetation, Technosol, and bacteria in the designed GI features

The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) International Consortium inaugural meeting report

The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) International Consortium is a novel, interdisciplinary initiative comprised of experts across many fields, including genomics, data analysis, engineering, public health, and architecture. The ultimate goal of the MetaSUB Consortium is to improve city utilization and planning through the detection, measurement, and design of metagenomics within urban environments. Although continual measures occur for temperature, air pressure, weather, and human activity, including longitudinal, cross-kingdom ecosystem dynamics can alter and improve the design of cities. The MetaSUB Consortium is aiding these efforts by developing and testing metagenomic methods and standards, including optimized methods for sample collection, DNA/RNA isolation, taxa characterization, and data visualization. The data produced by the consortium can aid city planners, public health officials, and architectural designers. In addition, the study will continue to lead to the discovery of new species, global maps of antimicrobial resistance (AMR) markers, and novel biosynthetic gene clusters (BGCs). Finally, we note that engineered metagenomic ecosystems can help enable more responsive, safer, and quantified cities

A communal catalogue reveals Earth’s multiscale microbial diversity

Our growing awareness of the microbial world’s importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth’s microbial diversity

A communal catalogue reveals Earth's multiscale microbial diversity

Our growing awareness of the microbial world's importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth's microbial diversity.Peer reviewe

ELEMENTAL ACCUMULATION PATTERNS OF THE LICHEN SPECIES PHYSCIA TRIBACOIDES NYL., HETERODERMIA DISSECTA AND BACIDIA BECKHAUSII KÖRBER FROM THE WALAYAR RF REGION, TAMIL NADU, INDIA

Lichens have been used extensively as biomonitors of air quality (Richardson 1992; Seaward 1995, 2005). Lichen thalli lack a protective layer and hence accumulate airborne pollutants and particulate matter from the environment by wet and dry deposition (Nash 1996). The elements accumulated on lichen thalli can be quantitatively analysed using techniques such as Proton Induced X-ray Emission (PIXE) and Electron probe microanalysis. These techniques yield two-dimensional, quantitative element information with micron-level spatial resolution. This study used Scanning Electron Microscopy-Energy Dispersive X-ray (SEM-EDX) and PIXE to quantify elements accumulated on lichen thalli of selected species collected from polluted and unpolluted areas of the Madukkarai – Walayar forests. Thalli of selected lichen species from the study site (polluted and unpolluted) were irradiated using 1.7 MV tandem accelerator with Proton beam energy of 2 MeV. The ion induced X-rays were detected by Si ( Li ) semiconductor detector. The morphological analysis and localization of elements accumulated on these lichen samples were also carried out with the use of a SEM-EDX microanalysis using environmental scanning electron microscopy (ESEM) as supporting evidence. PIXE spectral elemental output revealed the presence of elements such as As , Ba , Br , Ca , Cu , Fe , K , Mn , Zn , Cl , Ti , Cr and Pd with the incidence of increased Calcium levels. IAEA 336 lichen reference material was used for standardization. </jats:p

MOESM8 of Leaf-residing Methylobacterium species fix nitrogen and promote biomass and seed production in Jatropha curcas

Additional file 8: Table S3. Distribution of representative bacterial taxa in the different germplasm of Jatropha biodiesel plants. Relative abundance of different taxon at genus level based on 16S rRNA gene sequences under different classes or phyla

MOESM2 of Leaf-residing Methylobacterium species fix nitrogen and promote biomass and seed production in Jatropha curcas

Additional file 2: Figure S2. Discriminant function analysis. Ordination plots of variables resulting from the first (CAN1) and second (CAN2) canonical functions for different plant tissue types (a) and media (b). The variables were generated based on the total populations from different plant tissues (leaf, stem and root) and media (HTM, NFM and MM)