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High-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation

Microalgae produce metabolites that could be useful for applications in food, biofuel or fine chemical production. The identification and development of suitable strains require analytical methods that are accurate and allow rapid screening of strains or cultivation conditions. We demonstrate the us...

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Autores principales: Bajhaiya, Amit K., Dean, Andrew P., Driver, Thomas, Trivedi, Drupad K., Rattray, Nicholas J. W., Allwood, J. William, Goodacre, Royston, Pittman, Jon K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644200/
https://www.ncbi.nlm.nih.gov/pubmed/26594136
http://dx.doi.org/10.1007/s11306-015-0878-4
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author Bajhaiya, Amit K.
Dean, Andrew P.
Driver, Thomas
Trivedi, Drupad K.
Rattray, Nicholas J. W.
Allwood, J. William
Goodacre, Royston
Pittman, Jon K.
author_facet Bajhaiya, Amit K.
Dean, Andrew P.
Driver, Thomas
Trivedi, Drupad K.
Rattray, Nicholas J. W.
Allwood, J. William
Goodacre, Royston
Pittman, Jon K.
author_sort Bajhaiya, Amit K.
collection PubMed
description Microalgae produce metabolites that could be useful for applications in food, biofuel or fine chemical production. The identification and development of suitable strains require analytical methods that are accurate and allow rapid screening of strains or cultivation conditions. We demonstrate the use of Fourier transform infrared (FT-IR) spectroscopy to screen mutant strains of Chlamydomonas reinhardtii. These mutants have knockdowns for one or more nutrient starvation response genes, namely PSR1, SNRK2.1 and SNRK2.2. Limitation of nutrients including nitrogen and phosphorus can induce metabolic changes in microalgae, including the accumulation of glycerolipids and starch. By performing multivariate statistical analysis of FT-IR spectra, metabolic variation between different nutrient limitation and non-stressed conditions could be differentiated. A number of mutant strains with similar genetic backgrounds could be distinguished from wild type when grown under specific nutrient limited and replete conditions, demonstrating the sensitivity of FT-IR spectroscopy to detect specific genetic traits. Changes in lipid and carbohydrate between strains and specific nutrient stress treatments were validated by other analytical methods, including liquid chromatography–mass spectrometry for lipidomics. These results demonstrate that the PSR1 gene is an important determinant of lipid and starch accumulation in response to phosphorus starvation but not nitrogen starvation. However, the SNRK2.1 and SNRK2.2 genes are not as important for determining the metabolic response to either nutrient stress. We conclude that FT-IR spectroscopy and chemometric approaches provide a robust method for microalgae screening. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-015-0878-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-46442002015-11-19 High-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation Bajhaiya, Amit K. Dean, Andrew P. Driver, Thomas Trivedi, Drupad K. Rattray, Nicholas J. W. Allwood, J. William Goodacre, Royston Pittman, Jon K. Metabolomics Original Article Microalgae produce metabolites that could be useful for applications in food, biofuel or fine chemical production. The identification and development of suitable strains require analytical methods that are accurate and allow rapid screening of strains or cultivation conditions. We demonstrate the use of Fourier transform infrared (FT-IR) spectroscopy to screen mutant strains of Chlamydomonas reinhardtii. These mutants have knockdowns for one or more nutrient starvation response genes, namely PSR1, SNRK2.1 and SNRK2.2. Limitation of nutrients including nitrogen and phosphorus can induce metabolic changes in microalgae, including the accumulation of glycerolipids and starch. By performing multivariate statistical analysis of FT-IR spectra, metabolic variation between different nutrient limitation and non-stressed conditions could be differentiated. A number of mutant strains with similar genetic backgrounds could be distinguished from wild type when grown under specific nutrient limited and replete conditions, demonstrating the sensitivity of FT-IR spectroscopy to detect specific genetic traits. Changes in lipid and carbohydrate between strains and specific nutrient stress treatments were validated by other analytical methods, including liquid chromatography–mass spectrometry for lipidomics. These results demonstrate that the PSR1 gene is an important determinant of lipid and starch accumulation in response to phosphorus starvation but not nitrogen starvation. However, the SNRK2.1 and SNRK2.2 genes are not as important for determining the metabolic response to either nutrient stress. We conclude that FT-IR spectroscopy and chemometric approaches provide a robust method for microalgae screening. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-015-0878-4) contains supplementary material, which is available to authorized users. Springer US 2015-11-13 2016 /pmc/articles/PMC4644200/ /pubmed/26594136 http://dx.doi.org/10.1007/s11306-015-0878-4 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Bajhaiya, Amit K.
Dean, Andrew P.
Driver, Thomas
Trivedi, Drupad K.
Rattray, Nicholas J. W.
Allwood, J. William
Goodacre, Royston
Pittman, Jon K.
High-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation
title High-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation
title_full High-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation
title_fullStr High-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation
title_full_unstemmed High-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation
title_short High-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation
title_sort high-throughput metabolic screening of microalgae genetic variation in response to nutrient limitation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644200/
https://www.ncbi.nlm.nih.gov/pubmed/26594136
http://dx.doi.org/10.1007/s11306-015-0878-4
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