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High-Throughput Genetics Strategies for Identifying New Components of Lipid Metabolism in the Green Alga Chlamydomonas reinhardtii

  • Xiaobo Li
  • Martin C. JonikasEmail author
Chapter
Part of the Subcellular Biochemistry book series (SCBI, volume 86)

Abstract

Microalgal lipid metabolism is of broad interest because microalgae accumulate large amounts of triacylglycerols (TAGs) that can be used for biodiesel production (Durrett et al Plant J 54(4):593–607, 2008; Hu et al Plant J 54(4):621–639, 2008). Additionally, green algae are close relatives of land plants and serve as models to understand conserved lipid metabolism pathways in the green lineage. The green alga Chlamydomonas reinhardtii (Chlamydomonas hereafter) is a powerful model organism for understanding algal lipid metabolism. Various methods have been used to screen Chlamydomonas mutants for lipid amount or composition, and for identification of the mutated loci in mutants of interest. In this chapter, we summarize the advantages and caveats for each of these methods with a focus on screens for mutants with perturbed TAG content. We also discuss technical opportunities and new tools that are becoming available for screens of mutants altered in TAG content or perturbed in other processes in Chlamydomonas.

Keywords

Triacylglycerol Lipids High-throughput genetics Chlamydomonas Algae Nitrogen deprivation Lipid analysis Fluorescence-activated cell sorting Lipid droplets 

Notes

Acknowledgements

We thank Arthur Grossman, Robert Jinkerson, Bensheng Liu, Liz Freeman Rosenzweig and Jian Xu for critical reading of the manuscript. This work was supported by the Carnegie Institution for Science and a grant from the National Science Foundation (MCB-1146621).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Plant BiologyCarnegie Institution for ScienceStanfordUSA

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