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Fuentes, S.

Publications and source records attributed to Fuentes, S..

9 recordsLinked to original sources

Genetic characterisation and aggressiveness of the Fusarium oxysporum Species Complex in tomato plants and irrigation water from Australian processing fields

Fusarium oxysporum Species Complex (FOSC) includes important soilborne pathogens of a range of crops worldwide. In Victoria (VIC) and New South Wales (NSW), Australia, FOSC has been identified as the cause of stunting and poor growth in processing tomato fields, resulting in significant yield losses. A total of 40 FOSC isolates were obtained from symptomatic tomato plants, irrigation water samples and culture collections, which were confirmed to be FOSC by multi-gene phylogenetic analyses based on four genomic loci: beta tubulin, calmodulin, the second largest subunit of nuclear RNA polymerase II, and translation elongation factor one-alpha. There was a high level of genetic diversity among isolates, with multiple phylogenetic lineages detected. Glasshouse bioassays demonstrated that all isolates were pathogenic to processing tomato, resulting in significant reductions in plant growth, with above ground height reduced by 11 to 26% and root dry weight by 44 to 83% compared with the control (p < 0.05). Although aggressiveness varied among isolates, growth reduction occurred irrespective of their phylogenetic placement. Moreover, the shared genetic background of isolates from irrigation water and plant samples highlights the role of irrigation water as a potential source of inoculum in Fusarium epidemics, underscoring its significance for disease management in Australian processing tomato systems.

plant biology↗

Ecological interactions between host, commensal and pathogenic bacteria in models for the intestinal epithelium.

Gut host physiology and the microbiome intricately interact in the complex ecosystem of the human digestive tract, playing a crucial role in maintaining overall health. In recent decades, the role of the gut microbiota in the defence against pathogens and modulating local and distal immunity has been well-established. The interactions between commensal and potential pathogenic bacteria with the intestinal epithelium can initiate immune responses in the epithelial cells, which, in turn, activate downstream immune responses in other immune cells. These intricate processes involved, especially when multiple microorganisms are present as seen in the intestinal microbiome, remain only partially understood. Previously, it was observed that in adults aged 60 years or older, the commensal Ruminococcus torques (Rt) and Escherichia coli were associated with influenza-like illness and a heightened pro-inflammatory immune profile. In this study, we used a CaCo-2 cell-based model and a human intestinal enteroid (HIE) model to explore epithelial responses to Rt and an adherent invasive E. coli (AIEC) both individually and in co-cultures under anaerobic conditions. Additionally, CaCo-2 cells were co-cultured with peripheral blood mononuclear cells, revealing downstream activation of immune cells. While both systems showed comparable cytokine profiles, they differed in their responses to the different bacteria, with the organoid system being more representative for intestinal epithelial cells in humans. We provide mechanistic evidence of the pro-inflammatory responses associated with these bacteria in the intestinal ecosystem. These models, particularly in the context of combined infections, represent a valuable and promising avenue for future research. They contribute to a deeper understanding of the complex interactions between the gut microbiota, epithelial intestinal cells and immune cells in the gut ecosystem, thereby promoting advances in the field of gut health and host response.

microbiology↗

Standardization of laboratory practices for the study of the human gut microbiome

Technical advances in next-generation sequencing (NGS) have made it more accessible to study the human microbiome, resulting in more available data and knowledge. As a result of this expansion of data, the need to obtain comparable and reproducible data has become one of the most important challenges facing microbiome research nowadays. In this study, we aim to contribute to existing knowledge to promote high quality microbiome data and minimize bias introduced by technical variation throughout studies, from sample collection, storage, to sequencing strategies. While immediate freezing upon sampling has been the "golden standard" in the field, this method is often logistically difficult and expensive, becoming a limiting factor when conducting large scale studies or in regions where maintenance of the cold-chain presents difficulties. Therefore, we compared the immediately frozen method to storage at room temperature for 3 - 5 days in two commercially available stabilization solutions (Omnigene gut and Zymo Research) as well as without buffer. Other important aspects were tested, such as DNA extraction, bacterial DNA input or number of PCR cycles. Method choice for cell disruption resulted in the biggest difference in compositional profiles. The changes observed in microbiome profiles in samples stored at RT without stabilization solution was prevented by the use of these. For library preparation and sequencing, we found the highest heterogeneity in the DNA extraction step, followed by the use of different Illumina barcodes, indicating that both of these steps have an impact during library preparation. We did not observe a batch effect between the different sequencing runs. Standardized methods are important to allow comparison of results between different research groups worldwide and reliably expand microbiome data to a broad range of diseases, ethnical backgrounds and geographic locations. A more global perspective will increase our understanding of the human microbiome around the world.

systems biology↗

Redox sensing by SENP1 augments insulin secretion early after high-fat feeding in mice

Pancreatic {beta}-cells respond to metabolic stress by upregulating insulin secretion, however the underlying mechanisms remain unclear. In {beta}-cells from overweight humans without diabetes, and mice fed a high-fat diet for 2 days, insulin exocytosis and secretion are enhanced without increased Ca2+ influx. {beta}-cell RNA-seq suggests altered metabolic pathways early following HFD, where we find increased basal oxygen consumption, proton leak, but a more reduced cytosolic redox state. Increased {beta}-cell exocytosis after 2-day HFD is dependent on this reduced intracellular redox and requires the sentrin-specific SUMO-protease-1 (SENP1). Mice with either pancreas- or {beta}-cell-specific SENP1 deletion fail to up-regulate exocytosis and become rapidly glucose intolerant after 2-day HFD. Mechanistically, redox-sensing by SENP1 requires a thiol group at C535 which together with Zn+-binding suppresses basal protease activity and unrestrained {beta}-cell exocytosis and increases SENP1 sensitivity to regulation by redox signals.

cell biology↗

Associations and recovery dynamics of the nasopharyngeal microbiota during influenza-like illness in the aging population

BackgroundOlder adults are more susceptible to respiratory pathogens, several of which have been associated with an altered respiratory microbiota. Influenza-like illness (ILI), a disease caused by respiratory pathogens including but not exclusively by influenza virus, is a major health concern in this population. However, there is little information on changes in the nasopharyngeal (NP) microbiota of older adults associated with respiratory infections identified by/ reported as ILI, as well as its dynamics during recovery. Here, we compared the NP microbiota in older adults who presented with ILI (n= 240) to the NP microbiota in older adults not reporting an ILI event (n= 157) during the 2014-2015 influenza season. To investigate the dynamics of the microbiota from the acute phase to the recovery phase of the infection, participants reporting an ILI event were sampled at onset of infection (<72 hours), at 14 days and at 7-9 weeks after infection (recovery sample). ResultsCross-sectional analysis of the microbiota at the different time-points showed no differences in alpha diversity between the groups. A small but significant effect of the ILI was observed on the microbiota community and structure when compared to controls and recovery samples. Furthermore, the NP microbiota exhibited inter-individual differences in dynamics from onset of ILI to recovery. Corynebacterium, one of the keystone species in the upper respiratory tract, was negatively associated with ILI and its abundance increased after recovery. Potential pathobionts such as Haemophilus, Porphyromonas and Gemella had higher abundances during acute-ILI. Stability and changes in the NP microbial community showed individual dynamics. Key core genera, Corynebacterium, Moraxella and Dolosigranulum exhibited higher inter-individual variability in acute-ILI, but showed comparable variability to controls after recovery. Participants in the ILI group with higher core microbiota abundances at the acute phase showed higher microbiota stability after recovery. ConclusionsOur findings demonstrate that acute-ILI is associated with small but significant alterations in the phylogenetic structure of the NP microbiota in older adults. The observed variation in the core microbiota suggests potential imbalances in the ecosystem, which could play a role in the recovery of the NP microbiota after an ILI event.

microbiology↗

Asymptomatic gut colonization by extended-spectrum beta-lactamase-producing Escherichia coli is not associated with an altered gut microbiome or metabolome in Dutch adults

BackgroundGut colonization by antibiotic resistant E. coli strains, including extended-spectrum beta-lactamase (ESBL)-producing E. coli is a risk factor for developing overt infection. The gut microbiome can provide colonization resistance against enteropathogens, but it remains unclear whether it confers resistance against potentially pathogenic ESBL-producing E. coli. MaterialsFrom a Dutch cross-sectional population study (PIENTER-3), feces from 2751 individuals were used to culture ESBL-producing bacteria. Of these, we selected 49 samples which were positive for an ESBL-producing Escherichia coli (ESBL+), and negative for a variety of variables known to affect microbiome composition. These were matched in a 1:1 ratio to ESBL- samples based on age, sex, having been abroad in the past six months and ethnicity. Shotgun metagenomic sequencing was performed and taxonomic species composition and functional annotations (microbial metabolism and carbohydrate-active enzymes) were determined. Targeted quantitative metabolic profiling (1H NMR-spectroscopy) was performed to investigate metabolomic profiles. ResultsNo differences in alpha or beta diversity were observed, nor in relative abundance, between ESBL+ and ESBL- individuals based on bacterial species level composition. Machine learning approaches based on microbiota composition did not accurately predict ESBL status (area under the receiver operating characteristic curve (AUROC)=0.53), neither when based on functional profiles. The metabolome did also not convincingly differ between ESBL groups as assessed by a variety of approaches, including machine learning through random forest (AUROC=0.61). ConclusionUsing a combination of multi-omics and machine learning approaches, we conclude that asymptomatic gut carriage of ESBL-producing E. coli is not associated with an altered microbiome composition or function. This may suggest that microbiome-mediated colonization resistance against ESBL-producing E. coli is not as relevant as it is against other enteropathogens.

microbiology↗

The post-translational modification landscape of commercial beers

Beer is one of the most popular beverages worldwide. As a product of variable agricultural ingredients and processes, beer has high molecular complexity. We used DIA/SWATH-MS to investigate the proteomic complexity and diversity of 23 commercial Australian beers. While the overall complexity of the beer proteome was modest, with contributions from barley and yeast proteins, we uncovered a very high diversity of post-translational modifications (PTMs), especially proteolysis, glycation, and glycosylation. Proteolysis was widespread throughout barley proteins, but showed clear site-specificity. Oligohexose modifications were common on lysines in barley proteins, consistent with glycation by maltooligosaccharides released from starch during malting or mashing. O-glycosylation consistent with oligomannose was abundant on secreted yeast glycoproteins. We developed and used data analysis pipelines to efficiently extract and quantify site-specific PTMs from SWATH-MS data, and showed incorporating these features into proteomic analyses extended analytical precision. We found that the key differentiator of the beer glyco/proteome was the brewery, with beer from independent breweries having a distinct profile to beer from multinational breweries. Within a given brewery, beer styles also had distinct glyco/proteomes. Targeting our analyses to beers from a single brewery, Newstead Brewing Co., allowed us to identify beer style-specific features of the glyco/proteome. Specifically, we found that proteins in darker beers tended to have low glycation and high proteolysis. Finally, we objectively quantified features of foam formation and stability, and showed that these quality properties correlated with the concentration of abundant surface-active proteins from barley and yeast.

biochemistry↗

Sexual antagonism exerts evolutionarily persistent genomic constraints on sexual differentiation in Drosophila melanogaster

The evolution of sexual dimorphism is constrained by a shared genome, leading to sexual antagonism where different alleles at given loci are favoured by selection in males and females. Despite its wide taxonomic incidence, we know little about the identity, genomic location and evolutionary dynamics of antagonistic genetic variants. To address these deficits, we use sex-specific fitness data from 202 fully sequenced hemiclonal D. melanogaster fly lines to perform a genome-wide association study of sexual antagonism. We identify ~230 chromosomal clusters of candidate antagonistic SNPs. In contradiction to classic theory, we find no clear evidence that the X chromosome is a hotspot for sexually antagonistic variation. Characterising antagonistic SNPs functionally, we find a large excess of missense variants but little enrichment in terms of gene function. We also assess the evolutionary persistence of antagonistic variants by examining extant polymorphism in wild D. melanogaster populations. Remarkably, antagonistic variants are associated with multiple signatures of balancing selection across the D. melanogaster distribution range, indicating widespread and evolutionarily persistent (>10,000 years) genomic constraints. Based on our results, we propose that antagonistic variation accumulates due to constraints on the resolution of sexual conflict over protein coding sequences, thus contributing to the long-term maintenance of heritable fitness variation.

evolutionary biology↗

Gut microbiota and resistome dynamics in intensive care patients receiving selective digestive tract decontamination

BackgroundCritically ill patients hospitalized in an Intensive Care Unit (ICU) are at increased risk of acquiring potentially life-threatening infections with opportunistic pathogens. The gut microbiota of ICU patients forms an important reservoir for these infectious agents. To suppress gut colonization with opportunistic pathogens, a prophylactic antibiotic regimen, termed Selective decontamination of the digestive tract (SDD), may be used. SDD has previously been shown to improve clinical outcome in ICU patients, but the impact of ICU hospitalization and SDD on the gut microbiota remains largely unknown. Here, we characterize the composition of the gut microbiota and its antimicrobial resistance genes ( the resistome) of ICU patients during SDD.\n\nResultsDuring ICU-stay, 30 fecal samples of ten patients were collected. Additionally, feces were collected from five of these patients after transfer to a medium-care ward and cessation of SDD. As a control group, feces from ten healthy subjects were collected twice, with a one-year interval. Gut microbiota and resistome composition were determined using 16S rRNA phylogenetic profiling and nanolitre-scale quantitative PCRs.\n\nThe microbiota of the ICU patients differed from the microbiota of healthy subjects and was characterized by low microbial diversity, decreased levels of E. coli and of anaerobic Gram-positive, butyrate-producing bacteria of the Clostridium clusters IV and XIVa, and an increased abundance of Bacteroidetes and enterococci. Four resistance genes (aac(6')-Ii, ermC, qacA, tetQ), providing resistance to aminoglycosides, macrolides, disinfectants and tetracyclines respectively, were significantly more abundant among ICU patients than in healthy subjects, while a chloramphenicol resistance gene (catA) and a tetracycline resistance gene (tetW) were more abundant in healthy subjects.\n\nConclusionsThe microbiota and resistome of ICU patients and healthy subjects were noticeably different, but importantly, levels of E. coli remained low during ICU hospitalization, presumably due to SDD therapy. Selection for four antibiotic resistance genes was observed, but none of these are of particular concern as they do not contribute to clinically relevant resistance. Our data support the ecological safety of SDD, at least in settings with low levels of circulating antibiotic resistance.

microbiology↗