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Full-Text Articles in Life Sciences
Microbial Lag Phase Can Be Indicative Of, Or Independent From, Cellular Stress, Philip G. Hamill, Andrew Stevenson, Phillip E. Mcmullan, James P. Williams, Abiann D. R. Lewis, Sudharsan S., Kath E. Stevenson, Keith D. Farnsworth, Galina Khroustalyova, Jon Y. Takemoto, John P. Quinn, Alexander Rapoport, John E. Hallsworth
Microbial Lag Phase Can Be Indicative Of, Or Independent From, Cellular Stress, Philip G. Hamill, Andrew Stevenson, Phillip E. Mcmullan, James P. Williams, Abiann D. R. Lewis, Sudharsan S., Kath E. Stevenson, Keith D. Farnsworth, Galina Khroustalyova, Jon Y. Takemoto, John P. Quinn, Alexander Rapoport, John E. Hallsworth
Biology Faculty Publications
Measures of microbial growth, used as indicators of cellular stress, are sometimes quantified at a single time-point. In reality, these measurements are compound representations of length of lag, exponential growth-rate, and other factors. Here, we investigate whether length of lag phase can act as a proxy for stress, using a number of model systems (Aspergillus penicillioides; Bacillus subtilis; Escherichia coli; Eurotium amstelodami, E. echinulatum, E. halophilicum, and E. repens; Mrakia frigida; Saccharomyces cerevisiae; Xerochrysium xerophilum; Xeromyces bisporus) exposed to mechanistically distinct types of cellular stress including low water activity, …
Long-Term Impacts Of Disturbance On Nitrogen-Cycling Bacteria In A New England Salt Marsh, Anne E. Bernhard, Courtney Dwyer, Adrian Idrizi, Geoffrey Bender, Rachel Zwick
Long-Term Impacts Of Disturbance On Nitrogen-Cycling Bacteria In A New England Salt Marsh, Anne E. Bernhard, Courtney Dwyer, Adrian Idrizi, Geoffrey Bender, Rachel Zwick
Biology Faculty Publications
Recent studies on the impacts of disturbance on microbial communities indicate communities show differential responses to disturbance, yet our understanding of how different microbial communities may respond to and recover from disturbance is still rudimentary. We investigated impacts of tidal restriction followed by tidal restoration on abundance and diversity of denitrifying bacteria, ammonia-oxidizing bacteria (AOB), and ammonia-oxidizing archaea (AOA) in New England salt marshes by analyzing nirS and bacterial and archaeal amoA genes, respectively. TRFLP analysis of nirS and betaproteobacterial amoA genes revealed significant differences between restored and undisturbed marshes, with the greatest differences detected in …
Use Of Image Cytometry For Quantification Of Pathogenic Fungi In Association With Host Cells, Charlotte A. Berkes, Leo Li-Ying Chan, Alisha Wilkinson, Benjamin Paradis
Use Of Image Cytometry For Quantification Of Pathogenic Fungi In Association With Host Cells, Charlotte A. Berkes, Leo Li-Ying Chan, Alisha Wilkinson, Benjamin Paradis
Biology Faculty Publications
Studies of the cellular pathogenesis mechanisms of pathogenic yeasts such as Candida albicans, Histoplasma capsulatum, and Cryptococcus neoformans commonly employ infection of mammalian hosts or host cells (i.e. macrophages) followed by yeast quantification using colony forming unit analysis or flow cytometry. While colony forming unit enumeration has been the most commonly used method in the field, this technique has disadvantages and limitations, including slow growth of some fungal species on solid media and low and/or variable plating efficiencies, which is of particular concern when comparing growth of wild-type and mutant strains. Flow cytometry can provide rapid quantitative information regarding yeast …
Engaging Students In A Bioinformatics Activity To Introduce Gene Structure And Function, Barbara J. May
Engaging Students In A Bioinformatics Activity To Introduce Gene Structure And Function, Barbara J. May
Biology Faculty Publications
Bioinformatics spans many fields of biological research and plays a vital role in mining and analyzing data. Therefore, there is an ever-increasing need for students to understand not only what can be learned from this data, but also how to use basic bioinformatics tools. This activity is designed to provide secondary and undergraduate biology students to a hands-on activity meant to explore and understand gene structure with the use of basic bioinformatic tools. Students are provided an “unknown” sequence from which they are asked to use a free online gene finder program to identify the gene. Students then predict the …