DOI: 10.3389/fpls.2019.01616
论文题名: Computer-Assisted Tracking of Chlamydomonas Species
作者: Folcik A.M. ; Haire T. ; Cutshaw K. ; Riddle M. ; Shola C. ; Nassani S. ; Rice P. ; Richardson B. ; Shah P. ; Nazamoddini-Kachouie N. ; Palmer A.
刊名: Frontiers in Plant Science
ISSN: 1664462X
出版年: 2020
卷: 10 语种: 英语
英文关键词: algae motility
; automated tracking
; chemical biology
; Chlamydomonas moewusii
; Chlamydomonas reinhardtii
; phototaxis
英文摘要: The green algae Chlamydomonas reinhardtii is a model system for motility in unicellular organisms. Photo-, gravi-, and chemotaxis have previously been associated with C. reinhardtii, and observing the extent of these responses within a population of cells is crucial for refining our understanding of how this organism responds to changing environmental conditions. However, manually tracking and modeling a statistically viable number of samples of these microorganisms is an unreasonable task. We hypothesized that automated particle tracking systems are now sufficiently advanced to effectively characterize such populations. Here, we present an automated method to observe C. reinhardtii motility that allows us to identify individual cells as well as global information on direction, speed, and size. Nutrient availability effects on wild-type C. reinhardtii swimming speeds, as well as changes in speed and directionality in response to light, were characterized using this method. We also provide for the first time the swimming speeds of several motility-deficient mutant lines. While our present effort is focused around the unicellular green algae, C. reinhardtii, we confirm the general utility of this approach using Chlamydomonas moewusii, another member of this genus which contains over 300 species. Our work provides new tools for evaluating and modeling motility in this model organism and establishes the methodology for conducting similar experiments on other unicellular microorganisms. © Copyright © 2020 Folcik, Haire, Cutshaw, Riddle, Shola, Nassani, Rice, Richardson, Shah, Nazamoddini-Kachouie and Palmer. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159979
Appears in Collections: 气候变化与战略
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作者单位: Department of Biomedical and Chemical Engineering and Sciences, Florida Institute of Technology, Melbourne, FL, United States; Department of Aerospace, Physics, and Space Sciences, Florida Institute of Technology, Melbourne, FL, United States; Department of Mathematical Sciences, Florida Institute of Technology, Melbourne, FL, United States; Department of Ocean Engineering and Marine Sciences, Florida Institute of Technology, Melbourne, FL, United States; Aldrin Space Institute, Florida Institute of Technology, Melbourne, FL, United States
Recommended Citation:
Folcik A.M.,Haire T.,Cutshaw K.,et al. Computer-Assisted Tracking of Chlamydomonas Species[J]. Frontiers in Plant Science,2020-01-01,10