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Two energy crops (maize and soybean) were used in the remediation of cadmium-contaminated soils. These crops were used because they are fast growing, have a large biomass and are good sources for bioenergy production. The total accumulation of cadmium in maize and soybean plants was 393.01 and 263.24μg pot(-1), respectively. The rhizosphere bacterial community composition was studied by MiSeq sequencing. Phylogenetic analysis was performed using 16S rRNA gene sequences. The rhizosphere bacteria were divided into 33 major phylogenetic groups according to phyla. The dominant phylogenetic groups included Proteobacteria, Acidobacteria, Actinobacteria, Gemmatimonadetes, and Bacteroidetes. Based on principal component analysis (PCA) and unweighted pair group with arithmetic mean (UPGMA) analysis, we found that the bacterial community was influenced by cadmium addition and bioenergy cropping. Three molecular ecological networks were constructed for the unplanted, soybean- and maize-planted bacterial communities grown in 50mgkg(-1) cadmium-contaminated soils. The results indicated that bioenergy cropping increased the complexity of the bacterial community network as evidenced by a higher total number of nodes, the average geodesic distance (GD), the modularity and a shorter geodesic distance. Proteobacteria and Acidobacteria were the keystone bacteria connecting different co-expressed operational taxonomic units (OTUs). The results showed that bioenergy cropping altered the topological roles of individual OTUs and keystone populations. This is the first study to reveal the effects of bioenergy cropping on microbial interactions in the phytoremediation of cadmium-contaminated soils by network reconstruction. This method can greatly enhance our understanding of the mechanisms of plant-microbe-metal interactions in metal-polluted ecosystems.
This article was published in the following journal.
Name: Ecotoxicology and environmental safety
Ecological networks that exhibit stable dynamics should theoretically persist longer than those that fluctuate wildly. Thus, network structures which are over-represented in natural systems are often ...
This Cell Systems Call features invited summaries of 32 of the 38 papers accepted for presentation in the "regular track" at the 2017 Research in Computational Molecular Biology conference. The editor...
Bacterial communities are essential to the biogeochemical cycle in riverine ecosystems. However, little is presently known about the integrated biogeography of planktonic and sedimentary bacterial com...
The influence of unicellular eukaryotic microorganisms on human gut health and disease is still largely unexplored. Blastocystis spp. commonly colonize the gut, but its clinical significance and ecolo...
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This work also highlights the presence of an unknown virus double-stranded DNA. In this project we propose 1) incorporating a bank of 150 samples from patients with diabetic foot infection...
Community-acquired pneumonia (CAP) is a heterogeneous disease causing great morbidity, mortality and health care burden globally. Typing methods for discriminating different clinical condi...
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This innovative and timely study will measure the impact of Affordable Care Act (ACA) Medicaid expansions on cancer screenings and preventive services. To assess this natural policy experi...
The use of rhythmic auditory stimulation (RAS) has been proven useful in the management of gait disturbances induced by Parkinson's disease (PD). Typically, the stimuli used to provide RAS...
Ongoing collection, analysis, and interpretation of ecological data that is used to assess changes in the components, processes, and overall condition and functioning of an ECOSYSTEM.
The genomic analysis of assemblages of organisms.
Meta-analysis of randomized trials in which estimates of comparative treatment effects are visualized and interpreted from a network of interventions that may or may not have been evaluated directly against each other. Common considerations in network meta-analysis include conceptual and statistical heterogeneity and incoherence.
The molecular designing of drugs for specific purposes (such as DNA-binding, enzyme inhibition, anti-cancer efficacy, etc.) based on knowledge of molecular properties such as activity of functional groups, molecular geometry, and electronic structure, and also on information cataloged on analogous molecules. Drug design is generally computer-assisted molecular modeling and does not include pharmacokinetics, dosage analysis, or drug administration analysis.
MOLECULAR BIOLOGY techniques used in the diagnosis of disease. Included are such techniques as IN SITU HYBRIDIZATION of chromosomes for CYTOGENETIC ANALYSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS of gene expression patterns in disease states; identification of pathogenic organisms by analysis of species specific DNA sequences; and detection of mutations with POLYMERASE CHAIN REACTION.
A genetically modified organism (GMO) is an organism whose genetic material has been altered using genetic engineering techniques. Organisms that have been genetically modified include micro-organisms such as bacteria and yeast, insects, plants, fish, an...
DNA sequencing is the process of determining the precise order of nucleotides within a DNA molecule. During DNA sequencing, the bases of a small fragment of DNA are sequentially identified from signals emitted as each fragment is re-synthesized from a ...
Bioinformatics is the application of computer software and hardware to the management of biological data to create useful information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied...