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An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids

Microalgae represent a third generation biofuel feedstock due to their high triacylglycerol (TAG) content under adverse environmental conditions. Microalgal TAG resides in a single cell and serves as a lipid class mixed with complicated compositions. We previously showed that TAG possessed character...

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Autores principales: Yang, Miao, Fan, Yan, Wu, Pei-Chun, Chu, Ya-Dong, Shen, Pei-Li, Xue, Song, Chi, Zhan-You
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693890/
https://www.ncbi.nlm.nih.gov/pubmed/29181015
http://dx.doi.org/10.3389/fpls.2017.01949
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author Yang, Miao
Fan, Yan
Wu, Pei-Chun
Chu, Ya-Dong
Shen, Pei-Li
Xue, Song
Chi, Zhan-You
author_facet Yang, Miao
Fan, Yan
Wu, Pei-Chun
Chu, Ya-Dong
Shen, Pei-Li
Xue, Song
Chi, Zhan-You
author_sort Yang, Miao
collection PubMed
description Microalgae represent a third generation biofuel feedstock due to their high triacylglycerol (TAG) content under adverse environmental conditions. Microalgal TAG resides in a single cell and serves as a lipid class mixed with complicated compositions. We previously showed that TAG possessed characteristic fatty acids (CFAs) for quantification and was linearly correlated with the relative abundance of CFA within certain limits in microalgae. Here, we defined the application range of the linear correlation between TAG and CFA in the oleaginous microalgae Chlamydomonas reinhardtii and Phaeodactylum tricornutum. In addition, TAG quantification was further expanded to a wide range of levels and the absolute amounts of saturated or monounsaturated CFAs, 16:0 and 18:1n9 of C. reinhardtii and 16:0 and 16:1n7 of P. tricornutum, instead of polyunsaturated CFAs, were verified to be linearly correlated to TAG levels throughout the entire period of nitrogen stress. This approach utilizes a single fatty acid to quantify TAG mixtures, and is rapid, simple and precise, which provides a useful tool for monitoring TAG accumulation of distinct microalgal species and facilitating high-throughput mutant screening for microalgae.
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spelling pubmed-56938902017-11-27 An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids Yang, Miao Fan, Yan Wu, Pei-Chun Chu, Ya-Dong Shen, Pei-Li Xue, Song Chi, Zhan-You Front Plant Sci Plant Science Microalgae represent a third generation biofuel feedstock due to their high triacylglycerol (TAG) content under adverse environmental conditions. Microalgal TAG resides in a single cell and serves as a lipid class mixed with complicated compositions. We previously showed that TAG possessed characteristic fatty acids (CFAs) for quantification and was linearly correlated with the relative abundance of CFA within certain limits in microalgae. Here, we defined the application range of the linear correlation between TAG and CFA in the oleaginous microalgae Chlamydomonas reinhardtii and Phaeodactylum tricornutum. In addition, TAG quantification was further expanded to a wide range of levels and the absolute amounts of saturated or monounsaturated CFAs, 16:0 and 18:1n9 of C. reinhardtii and 16:0 and 16:1n7 of P. tricornutum, instead of polyunsaturated CFAs, were verified to be linearly correlated to TAG levels throughout the entire period of nitrogen stress. This approach utilizes a single fatty acid to quantify TAG mixtures, and is rapid, simple and precise, which provides a useful tool for monitoring TAG accumulation of distinct microalgal species and facilitating high-throughput mutant screening for microalgae. Frontiers Media S.A. 2017-11-13 /pmc/articles/PMC5693890/ /pubmed/29181015 http://dx.doi.org/10.3389/fpls.2017.01949 Text en Copyright © 2017 Yang, Fan, Wu, Chu, Shen, Xue and Chi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Yang, Miao
Fan, Yan
Wu, Pei-Chun
Chu, Ya-Dong
Shen, Pei-Li
Xue, Song
Chi, Zhan-You
An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids
title An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids
title_full An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids
title_fullStr An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids
title_full_unstemmed An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids
title_short An Extended Approach to Quantify Triacylglycerol in Microalgae by Characteristic Fatty Acids
title_sort extended approach to quantify triacylglycerol in microalgae by characteristic fatty acids
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693890/
https://www.ncbi.nlm.nih.gov/pubmed/29181015
http://dx.doi.org/10.3389/fpls.2017.01949
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