bioRxiv Science⌕ Search

Biology subjects

Amadio, A. F.

Publications and source records attributed to Amadio, A. F..

2 recordsLinked to original sources

Analysis arbuscular mycorrhizal fungi (AMF) community composition associated with alkaline saline sodic soils

Marginal soils affected by salinity, sodicity and alkalinity decrease crop productivity. In this context, a viable alternative strategy lies in the remediation of degraded lands using beneficial microorganisms. This study aims to characterize native arbuscular mycorrhizal fungal (AMF) communities by sequencing PCR amplicons that cover most of the small subunit rRNA (SSU) gene, the complete internal transcribed spacer (ITS) region, and a portion of the large subunit (LSU) rRNA, employing Oxford Nanopore Technologies (ONT). Three field sites, with varying crop conditions, were selected: a patch with no crop growth (Site 1), a patch with corn stubble (Site 2), and a patch with wheat plants exhibiting 15 days of growth (Site 3). Soil analyses revealed distinct characteristics - alkaline saline sodic soil (ASS) for Site 1, moderately alkaline soil (A) for Site 2, and neutral soil (N) for Site 3. ONT sequencing yielded a total of 4,040,470 raw reads from which 19.13% survived after quality and length filter. Reads were grouped in 556 clusters, of which 222 remained after bioinformatic analysis. Despite moderate error rates in 9.4.1, flowcells chemistry, using a clustering and polishing approach facilitated the ecological analysis and allowed a better taxonomic resolution. Bioinformatic analysis showed no significant differences in AMF diversity among soils. However, results suggest the dominance of Glomeraceae and Acaulosporaceae families, specifically the genera Glomus and Acaulospora in ASS soil. Further exploration is required to better understand their role in promoting plant growth under adverse conditions. The study highlights the significance of cutting-edge sequencing tools in advancing the comprehension of essential symbiotic relationships for sustainable agriculture in challenging environments.

plant biology↗

Quantification of Enterohemorrhagic Escherichia coli O157:H7 proteome using TMT-Based Analysis

Enterohemorrhagic Escherichia coli (EHEC) O157:H7 is a human pathogen responsible for diarrhea, hemorrhagic colitis and hemolytic uremic syndrome (HUS). EHEC infection is distributed worldwide and numerous outbreaks of diseases caused by enterohemorrhagic have been reported. To promote a comprehensive insight into the molecular basis of EHEC O157:H7 physiology and pathogenesis, the combined proteome of EHEC O157:H7 strains, Clade 8 and Clade 6 isolated from cattle in Argentina, and the standard EDL933 (clade 3) strain has been analyzed. TMT (Tandem Mass Tags)-based quantitative proteomic and emPAI analyses were performed to estimate the protein abundance in EHEC proteome. 2,234 non-redundant proteins of EHEC O157:H7 were identified. A comparison of this result with in silico data of EHEC O157:H7 genome showed that approximately 40% of the predicted proteome of this pathogen were covered. According to the emPAI analysis, 85 proteins were among the most abundant (e.g. GAPDH, FliC H-antigen, Enolase, and GroEL). Tellurite resistance proteins were also highly abundant. COG analysis showed that although most of the identified proteins are related to cellular metabolism, the majority of the most abundant proteins are associated with translation processes. A KEGG enrichment analysis revealed that Glycolysis / Gluconeogenesis was the most significant pathway. On the other hand, the less abundant detected proteins are those related to DNA processes, cell respiration and prophage. Among the proteins that composed the Type III Secretion System, the most abundant protein was EspA. Altogether, the results show a subset of important proteins that contribute to physiology and pathogenicity of EHEC O157:H7.\n\nIMPORTANCEThe study of the abundance of proteins present within a complex mixture of proteins in a cell, under different conditions, can provide important information about the activities of individual protein components and protein networks that are cornerstones for the comprehension of physiological adaptations in response to biological demands promoted by environmental changes. We generated a comprehensive and accurate quantitative list of EHEC O157:H7 proteome, which provides a description of the most abundant proteins produced by this pathogen that were related to physiology and pathogenesis of EHEC. This study provides information and extends the understanding on functional genomics and the biology of this pathogen.

microbiology↗