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Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii

Microalgae-based biofuels are promising sources of alternative energy, but improvements throughout the production process are required to establish them as economically feasible. One of the most influential improvements would be a significant increase in lipid yields, which could be achieved by alte...

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Autores principales: Gargouri, Mahmoud, Park, Jeong-Jin, Holguin, F. Omar, Kim, Min-Jeong, Wang, Hongxia, Deshpande, Rahul R., Shachar-Hill, Yair, Hicks, Leslie M., Gang, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507760/
https://www.ncbi.nlm.nih.gov/pubmed/26022256
http://dx.doi.org/10.1093/jxb/erv217
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author Gargouri, Mahmoud
Park, Jeong-Jin
Holguin, F. Omar
Kim, Min-Jeong
Wang, Hongxia
Deshpande, Rahul R.
Shachar-Hill, Yair
Hicks, Leslie M.
Gang, David R.
author_facet Gargouri, Mahmoud
Park, Jeong-Jin
Holguin, F. Omar
Kim, Min-Jeong
Wang, Hongxia
Deshpande, Rahul R.
Shachar-Hill, Yair
Hicks, Leslie M.
Gang, David R.
author_sort Gargouri, Mahmoud
collection PubMed
description Microalgae-based biofuels are promising sources of alternative energy, but improvements throughout the production process are required to establish them as economically feasible. One of the most influential improvements would be a significant increase in lipid yields, which could be achieved by altering the regulation of lipid biosynthesis and accumulation. Chlamydomonas reinhardtii accumulates oil (triacylglycerols, TAG) in response to nitrogen (N) deprivation. Although a few important regulatory genes have been identified that are involved in controlling this process, a global understanding of the larger regulatory network has not been developed. In order to uncover this network in this species, a combined omics (transcriptomic, proteomic and metabolomic) analysis was applied to cells grown in a time course experiment after a shift from N-replete to N-depleted conditions. Changes in transcript and protein levels of 414 predicted transcription factors (TFs) and transcriptional regulators (TRs) were monitored relative to other genes. The TF and TR genes were thus classified by two separate measures: up-regulated versus down-regulated and early response versus late response relative to two phases of polar lipid synthesis (before and after TAG biosynthesis initiation). Lipidomic and primary metabolite profiling generated compound accumulation levels that were integrated with the transcript dataset and TF profiling to produce a transcriptional regulatory network. Evaluation of this proposed regulatory network led to the identification of several regulatory hubs that control many aspects of cellular metabolism, from N assimilation and metabolism, to central metabolism, photosynthesis and lipid metabolism.
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spelling pubmed-45077602015-07-22 Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii Gargouri, Mahmoud Park, Jeong-Jin Holguin, F. Omar Kim, Min-Jeong Wang, Hongxia Deshpande, Rahul R. Shachar-Hill, Yair Hicks, Leslie M. Gang, David R. J Exp Bot Research Paper Microalgae-based biofuels are promising sources of alternative energy, but improvements throughout the production process are required to establish them as economically feasible. One of the most influential improvements would be a significant increase in lipid yields, which could be achieved by altering the regulation of lipid biosynthesis and accumulation. Chlamydomonas reinhardtii accumulates oil (triacylglycerols, TAG) in response to nitrogen (N) deprivation. Although a few important regulatory genes have been identified that are involved in controlling this process, a global understanding of the larger regulatory network has not been developed. In order to uncover this network in this species, a combined omics (transcriptomic, proteomic and metabolomic) analysis was applied to cells grown in a time course experiment after a shift from N-replete to N-depleted conditions. Changes in transcript and protein levels of 414 predicted transcription factors (TFs) and transcriptional regulators (TRs) were monitored relative to other genes. The TF and TR genes were thus classified by two separate measures: up-regulated versus down-regulated and early response versus late response relative to two phases of polar lipid synthesis (before and after TAG biosynthesis initiation). Lipidomic and primary metabolite profiling generated compound accumulation levels that were integrated with the transcript dataset and TF profiling to produce a transcriptional regulatory network. Evaluation of this proposed regulatory network led to the identification of several regulatory hubs that control many aspects of cellular metabolism, from N assimilation and metabolism, to central metabolism, photosynthesis and lipid metabolism. Oxford University Press 2015-08 2015-05-28 /pmc/articles/PMC4507760/ /pubmed/26022256 http://dx.doi.org/10.1093/jxb/erv217 Text en © The Author 2015. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Gargouri, Mahmoud
Park, Jeong-Jin
Holguin, F. Omar
Kim, Min-Jeong
Wang, Hongxia
Deshpande, Rahul R.
Shachar-Hill, Yair
Hicks, Leslie M.
Gang, David R.
Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii
title Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii
title_full Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii
title_fullStr Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii
title_full_unstemmed Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii
title_short Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii
title_sort identification of regulatory network hubs that control lipid metabolism in chlamydomonas reinhardtii
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507760/
https://www.ncbi.nlm.nih.gov/pubmed/26022256
http://dx.doi.org/10.1093/jxb/erv217
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