Biology subjects

Butcher, J.

Publications and source records attributed to Butcher, J..

3 recordsLinked to original sources

bioRxiv2021

Revealing Protein-Level Functional Redundancy in the Human Gut Microbiome using Ultra-deep Metaproteomics

Functional redundancy is a key property of ecosystems and represents the fact that phylogenetically unrelated taxa can play similar functional roles within an ecosystem. The redundancy of potential functions of human microbiome has been recently quantified using metagenomics data. Yet, the redundancy of functions which are actually expressed within the human microbiome remains largely unexplored. Here, we quantify the protein-level functional redundancy in the human gut microbiome using metaproteomics and network approaches. In particular, our ultra-deep metaproteomics approach revealed high protein-level functional redundancy and high nestedness in proteomic content networks - bipartite graphs that connect taxa with their expressed functions. We further examined multiple metaproteomics datasets and showed that various environmental factors, including individuality, biogeography, xenobiotics, and disease, significantly altered the protein-level functional redundancy. Finally, by projecting the bipartite proteomic content networks into unipartite weighted genus networks, functional hub genera across individual microbiomes were discovered, suggesting that there may be a universal principle of functional organization in microbiome assembly. HighlightsO_LIUltra-deep metaproteomics reveals high protein-level functional redundancy in the human gut microbiome C_LIO_LIWithin-sample proteomic content networks display universal topology C_LIO_LIVarious environmental factors influence the redundancy of expressed functions C_LIO_LIFunctional hub genera are present across different datasets C_LI

systems biology↗

bioRxiv2021

Examining the effects of an anti-Salmonella bacteriophage preparation, BAFASAL, on ex vivo human gut microbiome composition and function using a multi-omics approach

Salmonella infections (salmonellosis) pose serious health risks to humans, usually via contamination in our food chain. This foodborne pathogen causes major food losses and human illnesses that result in significant economic impacts. Pathogens such as Salmonella have traditionally been kept at bay through the use of antibiotics, but antibiotic overuse within the food industry has led to the development of numerous multidrug-resistant bacterial strains. Thus, governments are now restricting antibiotic use, forcing the industry to search for alternatives to secure safe food chains. Bacteriophages, viruses that infect and kill bacteria, are currently being investigated and used as replacement treatments and prophylactics due to their specificity and efficacy. They are generally regarded as safe alternatives to antibiotics as they are natural components of the ecosystem. One example is BAFASEL, a commercial bacteriophage mixture that specifically targets Salmonella and is currently approved for use in poultry farming. However, when specifically used in the industry they can also make their way into humans through our food chain or exposure as is the case for antibiotics. In particular, agricultural workers could be repeatedly exposed to bacteriophages supplemented in animal feeds. To the best of our knowledge, no studies have investigated the effects of such exposure to bacteriophages on the human gut microbiome. In this study, we used a novel in vitro assay called RapidAIM to investigate BAFASALs potential impact on five individual human gut microbiomes. Multi-omics analyses, including 16S rRNA gene sequencing and metaproteomic, revealed that ex vivo human gut microbiota composition and function were unaffected by BAFASAL treatment providing an additional measure for its safety. Due to the critical role of the gut microbiome in human health and the known role of bacteriophages in regulation of microbiome composition and function, we suggest assaying the impact of bacteriophage-cocktails on the human gut microbiome as a part of their safety assessment. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

microbiology↗

bioRxiv2020

Experimental-based Computational Modeling Distinguishes Early Cardiac Outflow Tract Compensation Mechanisms

Mechanical forces are essential for proper growth and remodeling of the primitive pharyngeal arch arteries (PAAs) into the great vessels of the heart. Despite general acknowledgement of a link between abnormal hemodynamics and cardiac malformations, the direct correlation between hemodynamics and pharyngeal arch artery morphogenesis remains poorly understood. The elusiveness behind understanding hemodynamic-malformation links is largely due to the difficulty of performing isolated hemodynamic perturbations and quantifying key hemodynamic indices in-vivo. To overcome this issue, minimally invasive occlusion experiments were combined with three-dimensional anatomical models of development and in-silico testing of experimental phenomenon. This combined experimental-computational approach led to a mechanistic understanding of physiological compensation mechanisms in abnormal cardiac morphogenesis. Using our experimental-based framework, we detail morphological and hemodynamic changes twenty-four hours post vessel occlusion. To gain mechanistic insights into the dynamic vessel adaptation process, we perform in-silico occlusions which allow for quantification of instantaneous changes in mechanical loading. We follow the propagation of small defects in a single embryo Hamburger Hamilton (HH) Stage 18 embryo to a more serious defect in an HH29 embryo. Results demonstrate that abnormal PAA hemodynamics can precipitate abnormal cardiac function given the correct timing and location of injury. Following vessel occlusion, morphology changes along the arches are no longer a simple flow-mediated response but rather work to maintain a range of wall shear stress values. Occlusion of the presumptive aortic arch overrides natural growth mechanisms and prevents it from becoming the dominant arch of the aorta. Author SummaryThe developing great vessels transport flow from the heart to the rest of the body. Proper spatial temporal morphogenesis of the primitive paired vessels into the definitive outflow tract of the heart is critical for normal cardiac function. Malpatterning of the great vessels is highly prevalent in congenital heart defects and occurs in conjunction with other intracardiac malformations, such as impaired ventricle and valve development. In this work, we combine experimental-based computational modeling with theoretical adaptation principles. Our combined experimental-computational framework allows for the delineation of immediate and longer-term vascular remodeling as well as the physical mechanisms behind such changes. We show that a small flow obstruction originating within the developing vessels can propagate into structurally serious malformations with impaired functionality.

developmental biology↗