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Sadlon, A.

Publications and source records attributed to Sadlon, A..

3 recordsLinked to original sources

Gluconate acts as a signal to induce biofilm in Bacillus subtilis

Bacillus subtilis is the best-studied Gram-positive microorganism, but little is known about how the presence and utilization of diverse carbon sources impacts its production of biofilm. Here, we have identified gluconate as a carbon source that induces biofilm wrinkling in B. subtilis colony biofilms. Targeted phenotypic analysis revealed that the genes encoding the canonical structural biofilm components (tasA, epsA-O, and bslA) are required for this response. Import and metabolism of gluconate, however, are not required to induce these phenotypic changes. We show that the effect of gluconate on B. subtilis is linked to iron availability: production of the siderophore bacillibactin is decreased by gluconate and B. subtilis mutants unable to import bacillibactin grow better and wrinkle more in the presence of gluconate. In addition, supplementation of single-carbon media with iron dramatically increased growth and wrinkling of a B. subtilis bacillibactin mutant grown on gluconate but did not impact B. subtilis grown on glucose. We conclude that gluconate acts as a signal to increase biofilm in B. subtilis and increases iron availability in a bacillibactin-independent manner.

microbiology↗

Long-term stability of soil microbiome structure and function in liquid soil extracts

Soil microbial communities (SMCs) play an important role in various ecological processes, including plant growth, carbon cycling, and greenhouse gas production and consumption. There have been many prior studies of soil microbiome function and structure. However, soil is a complex environment in which to conduct biological studies. Therefore, simplified SMC models, often adapted to liquid culture, have been employed in the laboratory to study specific microbial interactions and individual microbial functions. Specific advantages of these laboratory liquid SMC models include the ability to modulate community membership, control environmental conditions, and employ high-throughput assay techniques. The disadvantages of current laboratory liquid SMC models include long cycles for growing bacteria in vitro, the obligatory use of strains that are culturable in isolation, intricate media requirements, and complex community assembly protocols. To address some limitations of current liquid SMC models, we sought to create a streamlined process for extracting and maintaining a liquid culture of an existing SMC. Soil-Extracted Solubilized Organic Matter (SESOM) was made from four different soil types, including rich organic potting soils and environmental samples, and filtered to maintain the SMC. These SESOM liquid SMC models were cultured for 28 days, and SMC composition was measured by 16S rDNA sequencing. The SESOM SMCs maintain high alpha and beta diversity over time, including strains that are not culturable in isolation, with the greatest stability correlated with higher soil organic carbon. Further, the SESOM SMCs maintain unique signatures of their starting solid soils, suggesting that drift in SMC composition over extended time in liquid culture does not eliminate the defining microbial relationships of a given soil type. Network analysis of SESOM SMCs relative to solid soils suggests the functional roles of bacterial taxa were maintained in the liquid models over time. We further demonstrate that the platform can be applied to monitor the survival and persistence of a model engineered microbe - the common synthetic biology chassis Pseudomonas putida - within a native SMC. We conclude that the SESOM model is a valuable tool for facilitating the study of SMCs in the laboratory.

synthetic biology↗

Differential expression of microRNAs in Alzheimer’s disease brain, blood and cerebrospinal fluid: a systematic review and meta-analysis

INTRODUCTIONSeveral microRNAs (miRNAs) have been implicated in Alzheimers disease (AD) pathogenesis but the evidence from individual case-control-studies remains inconclusive.\n\nMETHODSA systematic literature review was performed, followed by standardised multi-stage data extraction, quality control, and meta-analyses on eligible data for brain, blood, and cerebrospinal fluid (CSF) specimens. Results were compared with miRNAs reported in the abstracts of eligible studies or recent qualitative reviews to assess novelty.\n\nRESULTSData from 147 independent datasets across 107 publications were quantitatively assessed in 461 meta-analyses. Twenty-five, five, and 32 miRNAs showed study-wide significant differential expression (<1.08x10-4) in brain, CSF, and blood-derived specimens, respectively, with 5 miRNAs showing differential expression in both brain and blood. Of these 57 miRNAs, 13 had not been reported in the abstracts of previous original or review articles.\n\nDISCUSSIONOur systematic assessment of differential miRNA expression is the first of its kind in AD and highlights miRNAs of relevance.

neuroscience↗