Although Cr(VI)-reducing and/or tolerant microorganisms have been investigated, there is no detailed information on the composition of the microbial community of the biocathode microbial fuel cell for Cr(VI) reduction. In this investigation, the bacterial diversity of a biocathode was analyzed using 454 pyrosequencing of the 16S rRNA gene. It was found that most bacteria belonged to phylum Proteobacteria (78.8%), Firmicutes (7.9%), Actinobacteria (6.6%) and Bacteroidetes (5.5%), commonly present in environments contaminated with Cr(VI). The dominance of the genus Pseudomonas (34.87%), followed by the genera Stenotrophomonas (5.8%), Shinella (4%), Papillibacter (3.96%), Brevundimonas (3.91%), Pseudochrobactrum (3.54%), Ochrobactrum (3.49%), Hydrogenophaga (2.88%), Rhodococcus (2.88%), Fluviicola (2.35%), and Alcaligenes (2.3%), was found. It is emphasized that some genera have not previously been associated with Cr(VI) reduction. This biocathode from waters contaminated with tannery effluents was able to remove Cr(VI) (97.83%) in the cathodic chamber. Additionally, through use of anaerobic sludge in the anodic chamber, the removal of 76.6% of organic matter (glucose) from synthetic waste water was achieved. In this study, an efficient biocathode for the reduction of Cr(VI) with future use in bioremediation, was characterized.
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http://dx.doi.org/10.1016/j.ram.2018.04.005 | DOI Listing |
Bioinformatics
January 2025
Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Motivation: Partial order alignment is a widely used method for computing multiple sequence alignments, with applications in genome assembly and pangenomics, among many others. Current algorithms to compute the optimal, gap-affine partial order alignment do not scale well to larger graphs and sequences. While heuristic approaches exist, they do not guarantee optimal alignment and sacrifice alignment accuracy.
View Article and Find Full Text PDFMicrob Genom
January 2025
Quadram Institute Bioscience, Norwich Research Park, Norwich, UK.
A diverse array of micro-organisms can be found on food, including those that are pathogenic or resistant to antimicrobial drugs. Metagenomics involves extracting and sequencing the DNA of all micro-organisms on a sample, and here, we used a combination of culture and culture-independent approaches to investigate the microbial ecology of food to assess the potential application of metagenomics for the microbial surveillance of food. We cultured common foodborne pathogens and other organisms including , spp.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
VIB-UGent Center for Inflammation Research, Ghent, Belgium.
Background: The brain is shielded from the peripheral circulation by central nervous system (CNS) barriers, comprising the well-known blood-brain barrier (BBB) and the less recognized blood-cerebrospinal fluid (CSF) barrier located within the brain ventricles. The gut microbiota represents a diverse and dynamic population of microorganisms that can influence the health of the host, including the development of neurological disorders like Alzheimer's disease (AD). However, the intricate mechanisms governing the interplay between the gut and brain remain elusive, and the means by which gut-derived signals traverse the CNS barriers remain unclear.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Massachusetts Chan Medical School, Worcester, MA, USA.
Background: In Alzheimer's disease (AD), changes in intestinal microbiota and systemic inflammation are concomitant with neuroinflammation and cognitive decline. This has led to the theory of microbial communities or infections as being causative in the development of neuroinflammation and immunosenescence seen in AD. Our research has demonstrated a decreased taxonomic diversity and an increased abundance of pathobionts in the gut of AD patients (Haran, mBio 2019), which is sufficient to promote amyloid and tau deposition in a mouse model (Chen, Gut 2023).
View Article and Find Full Text PDFMol Biol Evol
January 2025
Swiss Institute of Bioinformatics, Basel, Switzerland.
Bacterial genomes primarily diversify via gain, loss, and rearrangement of genetic material in their flexible accessory genome. Yet the dynamics of accessory genome evolution are very poorly understood, in contrast to the core genome where diversification is readily described by mutations and homologous recombination. Here, we tackle this problem for the case of very closely related genomes.
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