EventsThe 7th International Multidisciplinary Conference on Optofluidics 2017
Published
This submission belongs to the session 18. Other emerging and multidisciplinary researches of the event The 7th International Multidisciplinary Conference on Optofluidics 2017
Published date
21 Jul, 2017
Citation
Andrew S Utada, Investigating social interactions between bacteria through spatio-temporal imaging and analysis, in Proceedings of The 7th International Multidisciplinary Conference on Optofluidics 2017, Singapore, 25 July–28 July 2017, MDPI: Basel, Switzerland, doi: 10.3390/optofluidics2017-04575
Share
Email
Facebook
Twitter
LinkedIn

Investigating social interactions between bacteria through spatio-temporal imaging and analysis

1. University of Tsukuba, Dept. of Life and Environmental Sciences
Abstract

It is becoming clear that bacteria exist primarily as members of surface-adhered social communities, called biofilms, rather than as free-living individuals. These communities are encased in an extracellular matrix that provides protection from harsh environmental conditions, predation, enables resource sharing, and facilitates intercellular communication. Depending on the local conditions bacteria will transition between these two states and this interplay is fundamental to the ecology and biology of bacteria. The biofilm lifestyle colors all aspects of bacterial interactions with their environment whether attached to a rock in a stream, as an aggregate in activated sludge, or in an infection. To begin understanding biofilm development we visualize the initial encounter bacteria have with surfaces. Here, bacteria undergo a fundamental change in lifestyle, becoming surface-bound. We use cell tracking to link surface motility to surface exploration and colonization. As biofilms mature, growing three-dimensional, we utilize laser scanning confocal microscopy as well as label free imaging techniques to visualize phenotypic changes that occur within biofilms over time and space.

Keywords
biofilm
bacteria
motility
Experimental simulation of boson sampling with photonic qubits
Micro injection molding for applications in Optofluidics