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      Transcriptomic and proteomic responses to very low CO 2 suggest multiple carbon concentrating mechanisms in Nannochloropsis oceanica

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          Abstract

          Background

          In industrial oleaginous microalgae such as Nannochloropsis spp., the key components of the carbon concentration mechanism (CCM) machineries are poorly defined, and how they are mobilized to facilitate cellular utilization of inorganic carbon remains elusive.

          Results

          For Nannochloropsis oceanica, to unravel genes specifically induced by CO 2 depletion which are thus potentially underpinning its CCMs, transcriptome, proteome and metabolome profiles were tracked over 0 h, 3 h, 6 h, 12 h and 24 h during cellular response from high CO 2 level (HC; 50,000 ppm) to very low CO 2 (VLC; 100 ppm). The activity of a biophysical CCM is evidenced based on induction of transcripts encoding a bicarbonate transporter and two carbonic anhydrases under VLC. Moreover, the presence of a potential biochemical CCM is supported by the upregulation of a number of key C4-like pathway enzymes in both protein abundance and enzymatic activity under VLC, consistent with a mitochondria-implicated C4-based CCM. Furthermore, a basal CCM underpinned by VLC-induced upregulation of photorespiration and downregulation of ornithine–citrulline shuttle and the ornithine urea cycles is likely present, which may be responsible for efficient recycling of mitochondrial CO 2 for chloroplastic carbon fixation.

          Conclusions

          Nannochloropsis oceanica appears to mobilize a comprehensive set of CCMs in response to very low CO 2. Its genes induced by the stress are quite distinct from those of Chlamydomonas reinhardtii and  Phaeodactylum tricornutum, suggesting tightly regulated yet rather unique CCMs. These findings can serve the first step toward rational engineering of the CCMs for enhanced carbon fixation and biomass productivity in industrial microalgae.

          Electronic supplementary material

          The online version of this article (10.1186/s13068-019-1506-8) contains supplementary material, which is available to authorized users.

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          Most cited references60

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          Metabolic profiling analyses were performed to determine metabolite temporal dynamics associated with the induction of acquired thermotolerance in response to heat shock and acquired freezing tolerance in response to cold shock. Low-M(r) polar metabolite analyses were performed using gas chromatography-mass spectrometry. Eighty-one identified metabolites and 416 unidentified mass spectral tags, characterized by retention time indices and specific mass fragments, were monitored. Cold shock influenced metabolism far more profoundly than heat shock. The steady-state pool sizes of 143 and 311 metabolites or mass spectral tags were altered in response to heat and cold shock, respectively. Comparison of heat- and cold-shock response patterns revealed that the majority of heat-shock responses were shared with cold-shock responses, a previously unknown relationship. Coordinate increases in the pool sizes of amino acids derived from pyruvate and oxaloacetate, polyamine precursors, and compatible solutes were observed during both heat and cold shock. In addition, many of the metabolites that showed increases in response to both heat and cold shock in this study were previously unlinked with temperature stress. This investigation provides new insight into the mechanisms of plant adaptation to thermal stress at the metabolite level, reveals relationships between heat- and cold-shock responses, and highlights the roles of known signaling molecules and protectants.
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            Rising ocean temperatures will alter the productivity and composition of marine phytoplankton communities, thereby affecting global biogeochemical cycles. Predicting the effects of future ocean warming on biogeochemical cycles depends critically on understanding how existing global temperature variation affects phytoplankton. Here we show that variation in phytoplankton temperature optima over 150 degrees of latitude is well explained by a gradient in mean ocean temperature. An eco-evolutionary model predicts a similar relationship, suggesting that this pattern is the result of evolutionary adaptation. Using mechanistic species distribution models, we find that rising temperatures this century will cause poleward shifts in species' thermal niches and a sharp decline in tropical phytoplankton diversity in the absence of an evolutionary response.
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              Normalization of qRT-PCR data: the necessity of adopting a systematic, experimental conditions-specific, validation of references.

              Quantitative RT-PCR (reverse transcription polymerase chain reaction, also known as qRT-PCR or real-time RT-PCR) has been used in large proportions of transcriptome analyses published to date. The accuracy of the results obtained by this method strongly depends on accurate transcript normalization using stably expressed genes, known as references. Statistical algorithms have been developed recently to help validate reference genes but, surprisingly, this robust approach is under-utilized in plants. Instead, putative 'housekeeping' genes tend to be used as references without any proper validation. The concept of normalization in transcript quantification is introduced here and the factors affecting its reliability in qRT-PCR are discussed in an attempt to convince molecular biologists, and non-specialists, that systematic validation of reference genes is essential for producing accurate, reliable data in qRT-PCR analyses, and thus should be an integral component of them.
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                Author and article information

                Contributors
                weili@qibebt.ac.cn
                Mohamed.ElHajjami@ruhr-uni-bochum.de
                shenchen@qibebt.ac.cn
                wu.you@ruhr-uni-bochum.de
                ydlu@hainu.edu.cn
                lij@big.ac.cn
                jingxy@qibebt.ac.cn
                huqiang@ihb.ac.cn
                wenxu.zhou@gmail.com
                ansgar.poetsch@ruhr-uni-bochum.de
                + 86 532 8066 2651 , xujian@qibebt.ac.cn
                Journal
                Biotechnol Biofuels
                Biotechnol Biofuels
                Biotechnology for Biofuels
                BioMed Central (London )
                1754-6834
                28 June 2019
                28 June 2019
                2019
                : 12
                : 168
                Affiliations
                [1 ]ISNI 0000000119573309, GRID grid.9227.e, Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, , Chinese Academy of Sciences, ; Qingdao, Shandong China
                [2 ]ISNI 0000 0004 0490 981X, GRID grid.5570.7, Department of Plant Biochemistry, , Ruhr University Bochum, ; Bochum, Germany
                [3 ]ISNI 0000000119573309, GRID grid.9227.e, Institute of Hydrobiology, , Chinese Academy of Sciences, ; Wuhan, Hubei China
                [4 ]ISNI 0000 0001 2186 7496, GRID grid.264784.b, Department of Chemistry and Biochemistry, Center for Chemical Biology, , Texas Tech University, ; Lubbock, TX USA
                [5 ]ISNI 0000 0004 1797 8419, GRID grid.410726.6, University of Chinese Academy of Science, ; Beijing, China
                [6 ]ISNI 0000 0001 2219 0747, GRID grid.11201.33, School of Biomedical and Healthcare Sciences, , University of Plymouth, ; Plymouth, UK
                Author information
                http://orcid.org/0000-0002-0548-8477
                Article
                1506
                10.1186/s13068-019-1506-8
                6599299
                31297156
                b78fd1fe-242e-4594-9a92-f242f568c058
                © The Author(s) 2019

                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. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 3 April 2019
                : 18 June 2019
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 31425002
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Biotechnology
                carbon fixation,carbon concentrating mechanism (ccm),c4-like cycle,industrial oleaginous microalgae,nannochloropsis oceanica

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