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Towards a Better Model for the Microbe Membrane (Revisited)
Postdoc John Casey continues to work closely with MIT-CBIOMES Group PI Mick Follows on research combining quantitative proteomics, flux balance analysis, and molecular modeling of membrane transports to develop a steady-state model of microbial acclimation to substrate limitation. A paper by the same name was recently published in PLOS Computational Biology. Continue reading “Towards a Better Model for the Microbe Membrane (Revisited)”
NEW CBIOMES PUBLICATION
Emily Zakem, Jonathan Maitland Lauderdale, Reiner Schlitzer, Michael J. Follows (2020), A flux-based threshold for anaerobic activity in the ocean, ESSOar (for Geophysical Research Letters), doi: 10.1002/essoar.10504387.1
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NEW CBIOMES PUBLICATION
John Casey and Michael J. Follows (2020), A steady-state model of microbial acclimation to substrate limitation, PLoS Computational Biology, doi: 10.1371/journal.pcbi.1008140
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August 2020 CBIOMES e-meeting – Enrico Ser-Giacomi (MIT)
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NEW CBIOMES PUBLICATION
A.W. Omta, D. Talmy, K. Inomura, A.J. Irwin, Z.V. Finkel, D. Sher, and M.J. Follows (2020), Quantifying nutrient throughput and DOM production by algae in continuous culture, Journal of Theoretical Biology, doi: 10.1016/j.
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The Follows Group goes to Annual Meeting
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NEW CBIOMES PUBLICATION
Inomura, K. A-W. Omta, D. Talmy, J. Bragg, C. Deutsch, and M.J. Follows (2020), A Mechanistic Model of Macromolecular Allocation, Elemental Stoichiometry, and Growth Rate in Phytoplankton, Frontiers in Microbiology, doi: 10.3389/fmicb.2020.00086
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Machine learning helps map global ocean communities
Technique developed by MIT-CBIOMES investigators could aid in tracking the ocean’s health and productivity. Continue reading “Machine learning helps map global ocean communities”
Fellow Travelers
Observations suggest diazotrophs like Crocosphaera and Trichodesmium pay for their ability to fix nitrogen with a very low growth rate, yet diatom-diazotroph associations or DDAs exhibit high growth rates. CBIOMES postdoctoral fellow Chris Follett and co-authors use a cell flux model to test the hypothesis that diatom-diazotroph associations or DDAs grow faster than unpaired diazotrophs because the diatoms in DDAs provide organic carbon to their diazotroph guests that boost their growth rate. Continue reading “Fellow Travelers”