Rapid, high-throughput phenotypic profiling of endosymbiotic dinoflagellates (Symbiodiniaceae) using benchtop flow cytometry

被引:3
|
作者
Anthony, Colin Jeffrey [1 ]
Lock, Colin [1 ]
Bentlage, Bastian [1 ]
机构
[1] Univ Guam, Marine Lab, Mangilao, GU 96923 USA
来源
PLOS ONE | 2023年 / 18卷 / 09期
基金
美国国家科学基金会;
关键词
CHLOROPHYLL-A-PROTEIN; LIGHT SCATTER; CORAL; PHYTOPLANKTON; ZOOXANTHELLAE; PIGMENT; AUTOFLUORESCENCE; DISCRIMINATION; PHOTOBIOLOGY; RIBOFLAVIN;
D O I
10.1371/journal.pone.0290649
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Endosymbiotic dinoflagellates (Family Symbiodiniaceae) are the primary producer of energy for many cnidarians, including corals. The intricate coral-dinoflagellate symbiotic relationship is becoming increasingly important under climate change, as its breakdown leads to mass coral bleaching and often mortality. Despite methodological progress, assessing the phenotypic traits of Symbiodiniaceae in-hospite remains a complex task. Bio-optics, biochemistry, or "-omics" techniques are expensive, often inaccessible to investigators, or lack the resolution required to understand single-cell phenotypic states within endosymbiotic dinoflagellate assemblages. To help address this issue, we developed a protocol that collects information on cell autofluorescence, shape, and size to simultaneously generate phenotypic profiles for thousands of Symbiodiniaceae cells, thus revealing phenotypic variance of the Symbiodiniaceae assemblage to the resolution of single cells. As flow cytometry is adopted as a robust and efficient method for cell counting, integration of our protocol into existing workflows allows researchers to acquire a new level of resolution for studies examining the acclimation and adaptation strategies of Symbiodiniaceae assemblages.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Flow cytometry analysis techniques for high-throughput biodefense research
    Jett, JH
    Cai, H
    Habbersett, RC
    Keller, RA
    Larson, EJ
    Marrone, BL
    Nolan, JP
    Song, XD
    Swanson, B
    White, PS
    FIREPOWER IN THE LAB: AUTOMATION IN THE FIGHT AGAINST INFECTIOUS DISEASES AND BIOTERRORISM, 2001, : 193 - 201
  • [32] High-throughput Measurement of Dictyostelium discoideum Macropinocytosis by Flow Cytometry
    Williams, Thomas
    Kay, Robert R.
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2018, (139):
  • [33] High-Throughput Multi-parametric Imaging Flow Cytometry
    Rane, Anandkumar S.
    Rutkauskaite, Justina
    deMello, Andrew
    Stavrakis, Stavros
    CHEM, 2017, 3 (04): : 588 - 602
  • [34] Discovery of Regulators of Receptor Internalization with High-Throughput Flow Cytometry
    Wu, Yang
    Tapia, Phillip H.
    Fisher, Gregory W.
    Simons, Peter C.
    Strouse, J. Jacob
    Foutz, Terry
    Waggoner, Alan S.
    Jarvik, Jonathan
    Sklar, Larry A.
    MOLECULAR PHARMACOLOGY, 2012, 82 (04) : 645 - 657
  • [35] High-Throughput Flow Cytometry Data Normalization for Clinical Trials
    Finak, Greg
    Jiang, Wenxin
    Krouse, Kevin
    Wei, Chungwen
    Sanz, Ignacio
    Phippard, Deborah
    Asare, Adam
    De Rosa, Stephen C.
    Self, Steve
    Gottardo, Raphael
    CYTOMETRY PART A, 2014, 85 (03) : 277 - 286
  • [36] Imaging Flow Cytometry for High-Throughput Phenotyping of Synthetic Cells
    Godino, Elisa
    Sierra, Ana Maria Restrepo
    Danelon, Christophe
    ACS SYNTHETIC BIOLOGY, 2023, 12 (07): : 2015 - 2028
  • [37] Profiling of Toxicity and Identification of Distinct Apoptosis Profiles Using a 384-Well High-Throughput Flow Cytometry Screening Platform
    Luu, Yen K.
    Rana, Payal
    Duensing, Thomas D.
    Black, Christopher
    Will, Yvonne
    JOURNAL OF BIOMOLECULAR SCREENING, 2012, 17 (06) : 806 - 812
  • [38] High-throughput autofluorescence flow cytometry of breast cancer metabolism
    Shah, Amy T.
    Cannon, Taylor M.
    Higginbotham, Jim N.
    Skala, Melissa C.
    PHOTONIC THERAPEUTICS AND DIAGNOSTICS XII, 2016, 9689
  • [39] COVID-19: Using high-throughput flow cytometry to dissect clinical heterogeneity
    del Barrio, Irene del Molino
    Hayday, Thomas S.
    Laing, Adam G.
    Hayday, Adrian C.
    Di Rosa, Francesca
    CYTOMETRY PART A, 2023, 103 (02) : 117 - 126
  • [40] Dynamic characterization of growth and gene expression using high-throughput automated flow cytometry
    Ignacio A Zuleta
    Andrés Aranda-Díaz
    Hao Li
    Hana El-Samad
    Nature Methods, 2014, 11 : 443 - 448