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Our interdisciplinary research program in microbial food safety runs in collaboration with US FDA, USDA, state and local government agencies, industry, and major US and International Universities. Several undergraduate, MS, and PhD students are involved in these research projects.
Check out our current research projects below:
Microplastics and Food Safety: Emerging pollutants such as microplastics and nanoplastics are ubiquitous in the natural environments. Plastics as chemicals are intricately related to foods and food production venues at pre- and post-harvest stages. A growing body of scientific evidence indicates that these weathered plastic fragments of different sizes may interact significantly with microorganisms present in agroecosystems and even in foods. We investigate how microplastics may influence foodborne pathogens, biofilm formation, and antimicrobial resistance.
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To understand and assess the transmission of human pathogens in environments (food, water, air, and fomites), we utilize both conventional as well as molecular diagnostic tools including Whole Genome Sequencing (WGS) and Next Generation Sequencing (NGS) technologies. Examples of some research projects are:
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Metagenomics: water microbiology and its implication on public health. In this study, we examined the overall bacterial diversity of selected source and point-of-use water from rural areas in Central Plateau, Haiti using next generation sequencing (NGS) based metataxonomics methods (amplicon sequencing of 16S rRNA genes). The figure above represents a dual Hierarchal dendrogram evaluation of the taxonomic classification of source and point-of-use water samples. The heatmap represents the relative percentages of each bacterial genus found in different samples.
Ref: Mukherjee et al., PLoS One. 2016;11(12):e0167353
In a recent project, we examined the overall bacterial diversity of selected source and point-of-use water from rural areas in Central Plateau, Haiti using NGS based metagenomics methods (pyrosequencing of 16S rRNA genes). We also evaluated the impact of interventions (filtration) in removing or reducing the overall microbial loads of drinking water in the study area.
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Cell-based Assay for Rapid Detection (CBARD) Sensor for pathogens. Our lab has developed novel cell-based biosensors to distinguish viable or pathogenic bacterial cells from non-viable or non-pathogenic cells and active toxins from inactive toxins from food.
Refs: Banerjee et al., Biosens Bioelectron. 2010; 26(1): 99–106; Banerjee et al., Toxins. 2013;5(12):2366–83.
We are developing novel biosensor based rapid detection methods of pathogens, toxins, and contaminants in food and environmental (water, soil, air) samples. The overall objective is to develop and demonstrate a novel gel encapsulated cellular formulation integrated with a microfluidic device for long term storage of biosensor cells utilized for a very sensitive biosensor-based technique (called cell-based assay for rapid detection or CBARD) for detection pathogens from water and food. The sensor validation study was done using common biological toxins.
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We developed a nanotechnology-based method to mitigate the “matrix effect” of foods to enable successful detection and identification of pathogens (find our work here: International Journal of Food Microbiology 2014;189:89–97).
Foodborne pathogens may show up at any point during harvesting, manufacturing, processing, and packing, or even at the point of use (at the consumer’s end). Therefore, a better understanding of the routes of pathogen transmission and their survival in foods is critical. WGS-based approaches have improved the resolutions of foodborne disease outbreak investigations and epidemiology. In this direction, we are developing WGS-based analysis pipeline as a novel approach to tracking the ecological niche or source of pathogens. Moreover, the environment poses stress to pathogens and may alter their virulence. We are working on understanding the role of food-related stressors (temperature, desiccation, or sanitizers) in virulence and antimicrobial resistance in multi-drug resistant and drug-sensitive pathogens using WGS and NGS tools.
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We are interested in understanding how emerging probiotic microbes such as Akkermansia muciniphila confer health benefits. Using WGA, NGS-based shotgun sequencing, and metabolomics, we are investigating the interactions of the gut microbiome (including prebiotic bacteria) with prebiotics and postbiotics. Our goal is to develop “designer probiotics” based therapies for chronic diseases such as NAFLD and cancer.
Related publications:
Abundance of antibiotic resistance genes (ARGs) in food samples by shotgun metagenomics. Selected foods (lettuce (L), cabbage (C), deli meat (DM), and chicken legs (CL); n = 200) were procured from retail outlets. The graphs represent the relative percentages of each class of ARG. Panel (A) presents the ARG abundance based on MiSeq data; panel (B) represents the distribution of ARG classes from HiSeq data. The average sequencing depths were 640,000 and 50.8 million reads per sample for MiSeq and HiSeq, respectively.
The microbial community structure of retail foods available in areas with higher food insecurity and low socioeconomic status (SES) may differ significantly from high SES areas. Since the microbial ecology of foods may be associated with the potential presence of pathogens, a comprehensive evaluation of the microbiota of foods sold at retail stores from different SES areas is important to understand the potential risk of getting foodborne illness resulting from consumption of such foods. We used Next Generation Sequencing (NGS) of the 16S rRNA genes as well as culture-dependent methods to evaluate the bacterial community of selected foods procured from retail outlets located in different SES areas. In addition, metabolic pathways associated with the detected bacterial communities were also inferred from 16S rRNA sequences. We found that foods from stores in low SES areas were found to contain higher bacterial counts and a differential microbial composition as compared to stores in high SES areas. Our NGS data revealed that foods from low SES area stores contained a different bacterial composition compared to high SES area stores. Moreover, microbial metabolic pathways also differed in foods procured from stores in low areas as compared to stores in high SES areas. These differences in the microbial composition of foodborne bacteria may expose populations living in different socioeconomic conditions and with different food access to a differential risk of contracting foodborne illness. Find our work here: Food Research International 2018; 105:29–40.
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