System-level network analysis of nitrogen starvation and recovery in Chlamydomonas reinhardtii reveals potential new targets for increased lipid accumulation

. 2014 ; 7 () : 171. [epub] 20141224

Status PubMed-not-MEDLINE Jazyk angličtina Země Velká Británie, Anglie Médium electronic-ecollection

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid25663847

BACKGROUND: Nitrogen starvation is known to cause drastic alterations in physiology and metabolism leading to the accumulation of lipid bodies in many microalgae, and it thus presents an important alternative for biofuel production. However, despite the importance of this process, the molecular mechanisms that mediate the metabolic remodeling induced by N starvation and especially by stress recovery are still poorly understood, and new candidates for bioengineering are needed to make this process useful for biofuel production. RESULTS: We have studied the molecular changes involved in the adaptive mechanisms to N starvation and full recovery of the vegetative cells in the microalga Chlamydomonas reinhardtii during a four-day time course. High throughput mass spectrometry was employed to integrate the proteome and the metabolome with physiological changes. N starvation led to an accumulation of oil bodies and reduced Fv/Fm.. Distinct enzymes potentially participating in the carbon-concentrating mechanism (CAH7, CAH8, PEPC1) are strongly accumulated. The membrane composition is changed, as indicated by quantitative lipid profiles. A reprogramming of protein biosynthesis was observed by increased levels of cytosolic ribosomes, while chloroplastidic were dramatically reduced. Readdition of N led to, the identification of early responsive proteins mediating stress recovery, indicating their key role in regaining and sustaining normal vegetative growth. Analysis of the data with multivariate correlation analysis, Granger causality, and sparse partial least square (sPLS) provided a functional network perspective of the molecular processes. Cell growth and N metabolism were clearly linked by the branched chain amino acids, suggesting an important role in this stress. Lipid accumulation was also tightly correlated to the COP II protein, involved in vesicle and lysosome coating, and a major lipid droplet protein. This protein, together with other key proteins mediating signal transduction and adaption (BRI1, snRKs), constitute a series of new metabolic and regulatory targets. CONCLUSIONS: This work not only provides new insights and corrects previous models by analyzing a complex dataset, but also increases our biochemical understanding of the adaptive mechanisms to N starvation in Chlamydomonas, pointing to new bioengineering targets for increased lipid accumulation, a key step for a sustainable and profitable microalgae-based biofuel production.

Zobrazit více v PubMed

Mata TM, Martins AA, Caetano NS. Microalgae for biodiesel production and other applications: a review. Renew Sustain Energy Rev. 2010;14:217–232. doi: 10.1016/j.rser.2009.07.020. DOI

Schenk P, Thomas-Hall S, Stephens E, Marx U, Mussgnug J, Posten C, Kruse O, Hankamer B. Second generation biofuels: high-efficiency microalgae for biodiesel production. Bioenerg Res. 2008;1:20–43. doi: 10.1007/s12155-008-9008-8. DOI

Hu Q, Sommerfeld M, Jarvis E, Ghirardi M, Posewitz M, Seibert M, Darzins A. Microalgal triacylglycerols as feedstocks for biofuel production: perspectives and advances. Plant J. 2008;54:621–639. doi: 10.1111/j.1365-313X.2008.03492.x. PubMed DOI

Siaut M, Cuine S, Cagnon C, Fessler B, Nguyen M, Carrier P, Beyly A, Beisson F, Triantaphylides C, Li-Beisson Y, Peltier G. Oil accumulation in the model green alga Chlamydomonas reinhardtii: characterization, variability between common laboratory strains and relationship with starch reserves. BMC Biotechnol. 2011;11:7. doi: 10.1186/1472-6750-11-7. PubMed DOI PMC

Vítová M, Bišová K, Umysová D, Hlavová M, Kawano S, Zachleder V, Čížková M. Chlamydomonas reinhardtii: duration of its cell cycle and phases at growth rates affected by light intensity. Planta. 2011;233(1):75–86. doi: 10.1007/s00425-010-1282-y. PubMed DOI

Hema R, Senthil-Kumar M, Shivakumar S, Chandrasekhara Reddy P, Udayakumar M. Chlamydomonas reinhardtii, a model system for functional validation of abiotic stress responsive genes. Planta. 2007;226:655–670. doi: 10.1007/s00425-007-0514-2. PubMed DOI

Gouveia L, Oliveira A. Microalgae as a raw material for biofuels production. J Ind Microbiol Biotechnol. 2009;36:269–274. doi: 10.1007/s10295-008-0495-6. PubMed DOI

Weyer K, Bush D, Darzins A, Willson B. Theoretical maximum algal oil production. Bioenerg Res. 2010;3:204–213. doi: 10.1007/s12155-009-9046-x. DOI

Weckwerth W. Green systems biology - from single genomes, proteomes and metabolomes to ecosystems research and biotechnology. J Proteomics. 2011;75:284–305. doi: 10.1016/j.jprot.2011.07.010. PubMed DOI

Merchant SS, Kropat J, Liu B, Shaw J, Warakanont J. TAG, You’re it! Chlamydomonas as a reference organism for understanding algal triacylglycerol accumulation. Curr Opin Biotechnol. 2012;23:352–363. doi: 10.1016/j.copbio.2011.12.001. PubMed DOI

Kropat J, Hong-Hermesdorf A, Casero D, Ent P, Castruita M, Pellegrini M, Merchant SS, Malasarn D. A revised mineral nutrient supplement increases biomass and growth rate in Chlamydomonas reinhardtii. Plant J. 2011;66:770–780. doi: 10.1111/j.1365-313X.2011.04537.x. PubMed DOI PMC

Grossman A. Acclimation of Chlamydomonas reinhardtii to its nutrient environment. Protist. 2000;151:201–224. doi: 10.1078/1434-4610-00020. PubMed DOI

Ball SG, Dirick L, Decq A, Martiat J-C, Matagne R. Physiology of starch storage in the monocellular alga Chlamydomonas reinhardtii. Plant Sci. 1990;66:1–9. doi: 10.1016/0168-9452(90)90162-H. DOI

Wang ZT, Ullrich N, Joo S, Waffenschmidt S, Goodenough U. Algal lipid bodies: stress induction, purification, and biochemical characterization in wild-type and starchless Chlamydomonas reinhardtii. Eukaryot Cell. 2009;8:1856–1868. doi: 10.1128/EC.00272-09. PubMed DOI PMC

Boyle NR, Page MD, Liu B, Blaby IK, Casero D, Kropat J, Cokus SJ, Hong-Hermesdorf A, Shaw J, Karpowicz SJ, Gallaher SD, Johnson S, Benning C, Pellegrini M, Grossman A, Merchant SS. Three acyltransferases and nitrogen-responsive regulator are implicated in nitrogen starvation-induced triacylglycerol accumulation in Chlamydomonas. J Biol Chem. 2012;287:15811–15825. doi: 10.1074/jbc.M111.334052. PubMed DOI PMC

Merchant SS, Prochnik SE, Vallon O, Harris EH, Karpowicz SJ, Witman GB, Terry A, Salamov A, Fritz-Laylin LK, Maréchal-Drouard L, Marshall WF, Qu L-H, Nelson DR, Sanderfoot AA, Spalding MH, Kapitonov VV, Ren Q, Ferris P, Lindquist E, Shapiro H, Lucas SM, Grimwood J, Schmutz J, Cardol P, Cerutti H, Chanfreau G, Chen C-L, Cognat V, Croft MT, Dent R, et al. The Chlamydomonas genome reveals the evolution of key animal and plant functions. Science. 2007;318:245–250. doi: 10.1126/science.1143609. PubMed DOI PMC

Valledor L, Recuenco-Munoz L, Egelhofer V, Wienkoop S, Weckwerth W. The different proteomes of Chlamydomonas reinhardtii. J Proteomics. 2012;75:5883–5887. doi: 10.1016/j.jprot.2012.07.045. PubMed DOI

Valledor L, Weckwerth W. An improved detergent compatible gel fractionation LC-LTQ-Orbitrap workflow for plant and microbial proteomics. Methods Mol Biol. 2013;1072:347–358. doi: 10.1007/978-1-62703-631-3_25. PubMed DOI

Bolling C, Fiehn O. Metabolite profiling of Chlamydomonas reinhardtii under nutrient deprivation. Plant Physiol. 2005;139:1995–2005. doi: 10.1104/pp.105.071589. PubMed DOI PMC

Hummel J, Niemann M, Wienkoop S, Schulze W, Steinhauser D, Selbig J, Walther D, Weckwerth W. ProMEX: a mass spectral reference database for proteins and protein phosphorylation sites. BMC Bioinformatics. 2007;8:216. doi: 10.1186/1471-2105-8-216. PubMed DOI PMC

Wienkoop S, Weiss J, May P, Kempa S, Irgang S, Recuenco-Munoz L, Pietzke M, Schwemmer T, Rupprecht J, Egelhofer V, Weckwerth W. Targeted proteomics for Chlamydomonas reinhardtii combined with rapid subcellular protein fractionation, metabolomics and metabolic flux analyses. Mol Biosyst. 2010;6:1018–1031. doi: 10.1039/b920913a. PubMed DOI

Valledor L, Furuhashi T, Hanak AM, Weckwerth W. Systemic cold stress adaptation of Chlamydomonas reinhardtii. Mol Cell Proteomics. 2013;12:2032–2047. doi: 10.1074/mcp.M112.026765. PubMed DOI PMC

May P, Wienkoop S, Kempa S, Usadel B, Christian N, Rupprecht J, Weiss J, Recuenco-Munoz L, Ebenhoh O, Weckwerth W, Walther D. Metabolomics- and proteomics-assisted genome annotation and analysis of the draft metabolic network of Chlamydomonas reinhardtii. Genetics. 2008;179:157–166. doi: 10.1534/genetics.108.088336. PubMed DOI PMC

Wolschin F, Weckwerth W. Combining metal oxide affinity chromatography (MOAC) and selective mass spectrometry for robust identification of in vivo protein phosphorylation sites. Plant Methods. 2005;1(1):9. doi: 10.1186/1746-4811-1-9. PubMed DOI PMC

Hippler M, Klein J, Fink A, Allinger T, Hoerth P. Towards functional proteomics of membrane protein complexes: analysis of thylakoid membranes from Chlamydomonas reinhardtii. Plant J. 2001;28:595–606. doi: 10.1046/j.1365-313X.2001.01175.x. PubMed DOI

Rolland N, Atteia A, Decottignies P, Garin J, Hippler M, Kreimer G, Lemaire SD, Mittag M, Wagner V. Chlamydomonas proteomics. Curr Opin Microbiol. 2009;12:285–291. doi: 10.1016/j.mib.2009.04.001. PubMed DOI

Kempa S, Hummel J, Schwemmer T, Pietzke M, Strehmel N, Wienkoop S, Kopka J, Weckwerth W. An automated GCxGC-TOF-MS protocol for batch-wise extraction and alignment of mass isotopomer matrixes from differential 13C-labelling experiments: a case study for photoautotrophic-mixotrophic grown Chlamydomonas reinhardtii cells. J Basic Microbiol. 2009;49:82–91. doi: 10.1002/jobm.200800337. PubMed DOI

Lopez D, Casero D, Cokus S, Merchant S, Pellegrini M. Algal functional annotation tool: a web-based analysis suite to functionally interpret large gene lists using integrated annotation and expression data. BMC Bioinformatics. 2011;12:282. doi: 10.1186/1471-2105-12-282. PubMed DOI PMC

May P, Christian J-O, Kempa S, Walther D. ChlamyCyc: an integrative systems biology database and web-portal for Chlamydomonas reinhardtii. BMC Genomics. 2009;10:209. doi: 10.1186/1471-2164-10-209. PubMed DOI PMC

Thimm O, Bläsing O, Gibon Y, Nagel A, Meyer S, Krüger P, Selbig J, Müller LA, Rhee SY, Stitt M. MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes. Plant J. 2004;37:914–939. doi: 10.1111/j.1365-313X.2004.02016.x. PubMed DOI

Harris EH. The Chlamydomonas Sourcebook: Introduction to Chlamydomonas and Its Laboratory Use. Oxford, UK: Academic Press; 2009.

Toepel J, Albaum S, Arvidsson S, Goesmann A, la Russa M, Rogge K, Kruse O. Construction and evaluation of a whole genome microarray of Chlamydomonas reinhardtii. BMC Genomics. 2011;12:579. doi: 10.1186/1471-2164-12-579. PubMed DOI PMC

Miller R, Wu G, Deshpande RR, Vieler A, Gaertner K, Li X, Moellering ER, Zauner S, Cornish A, Liu B, Bullard B, Sears BB, Kuo M-H, Hegg EL, Shachar-Hill Y, Shiu S-H, Benning C. Changes in transcript abundance in Chlamydomonas reinhardtii following nitrogen-deprivation predict diversion of metabolism. Plant Physiol. 2010;154:1737–1752. doi: 10.1104/pp.110.165159. PubMed DOI PMC

Lee DY, Park J-J, Barupal DK, Fiehn O. System response of metabolic networks in Chlamydomonas reinhardtii to total available ammonium. Mol Cell Proteomics. 2012;11:973–988. doi: 10.1074/mcp.M111.016733. PubMed DOI PMC

Msanne J, Xu D, Konda AR, Casas-Mollano JA, Awada T, Cahoon EB, Cerutti H. Metabolic and gene expression changes triggered by nitrogen deprivation in the photoautotrophically grown microalgae Chlamydomonas reinhardtii and Coccomyxa sp. C-169. Phytochemistry. 2012;75:50–59. doi: 10.1016/j.phytochem.2011.12.007. PubMed DOI

Glinski M, Weckwerth W. The role of mass spectrometry in plant systems biology. Mass Spectrom Rev. 2006;25:173–214. doi: 10.1002/mas.20063. PubMed DOI

Weckwerth W. Metabolomics in systems biology. Annu Rev Plant Biol. 2003;54:669–689. doi: 10.1146/annurev.arplant.54.031902.135014. PubMed DOI

Sun X, Weckwerth W. COVAIN: a toolbox for uni- and multivariate statistics, time-series and correlation network analysis and inverse estimation of the differential Jacobian from metabolomics covariance data. Metabolomics. 2012;8:81–93. doi: 10.1007/s11306-012-0399-3. DOI

Patti GJ, Yanes O, Siuzdak G. Innovation: Metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol. 2012;13(4):263–269. doi: 10.1038/nrm3314. PubMed DOI PMC

Weckwerth W. Unpredictability of metabolism - the key role of metabolomics science in combination with next-generation genome sequencing. Anal Bioanal Chem. 2011;400:1967–1978. doi: 10.1007/s00216-011-4948-9. PubMed DOI PMC

Boyle NR, Morgan JA. Flux balance analysis of primary metabolism in Chlamydomonas reinhardtii. BMC systems biology. 2009;3(1):4. doi: 10.1186/1752-0509-3-4. PubMed DOI PMC

Ramšak Ž, Baebler Š, Rotter A, Korbar M, Mozetič I, Usadel B, Gruden K. GoMapMan: integration, consolidation and visualization of plant gene annotations within the MapMan ontology. Nucleic Acids Res. 2014;42(Database issue):D1167–1175. PubMed PMC

Galinski E, Herzog R. The role of trehalose as a substitute for nitrogen-containing compatible solutes (Ectothiorhodospira halochloris) Arch Microbiol. 1990;153:607–613. doi: 10.1007/BF00245273. DOI

Kolbe A, Tiessen A, Schluepmann H, Paul M, Ulrich S, Geigenberger P. Trehalose 6-phosphate regulates starch synthesis via posttranslational redox activation of ADP-glucose pyrophosphorylase. Proc Natl Acad Sci U S A. 2005;102:11118–11123. doi: 10.1073/pnas.0503410102. PubMed DOI PMC

Zhang Y, Primavesi LF, Jhurreea D, Andralojc PJ, Mitchell RAC, Powers SJ, Schluepmann H, Delatte T, Wingler A, Paul MJ. Inhibition of SNF1-related protein kinase1 activity and regulation of metabolic pathways by trehalose-6-phosphate. Plant Physiol. 2009;149:1860–1871. doi: 10.1104/pp.108.133934. PubMed DOI PMC

Nägele T, Weckwerth W. Mathematical modeling reveals that metabolic feedback regulation of SnRK1 and hexokinase is sufficient to control sugar homeostasis from energy depletion to full recovery. Front Plant Sci. 2014;5:365. doi: 10.3389/fpls.2014.00365. PubMed DOI PMC

Doerfler H, Lyon D, Nagele T, Sun X, Fragner L, Hadacek F, Egelhofer V, Weckwerth W. Granger causality in integrated GC-MS and LC-MS metabolomics data reveals the interface of primary and secondary metabolism. Metabolomics. 2013;9:564–574. doi: 10.1007/s11306-012-0470-0. PubMed DOI PMC

Walther D, Strassburg K, Durek P, Kopka J. Metabolic pathway relationships revealed by an integrative analysis of the transcriptional and metabolic temperature stress-response dynamics in yeast. Omics. 2010;14:261–274. doi: 10.1089/omi.2010.0010. PubMed DOI PMC

Sun X, Weckwerth W. The Handbook of Plant Metabolomics. 2013. Using COVAIN to analyze metabolomics data; pp. 305–320.

Gonzalez-Ballester D, Casero D, Cokus S, Pellegrini M, Merchant SS, Grossman AR. RNA-seq analysis of sulfur-deprived Chlamydomonas cells reveals aspects of acclimation critical for cell survival. Plant Cell Online. 2010;22:2058–2084. doi: 10.1105/tpc.109.071167. PubMed DOI PMC

Valledor L, Furuhashi T, Hanak AM, Weckwerth W. Systemic cold stress adaptation of Chlamydomonas reinhardtii. Mol Cell Proteomics. 2013;2032–2047:12(8). PubMed PMC

Majeran W, Wollman F-A, Vallon O. Evidence for a role of ClpP in the degradation of the chloroplast cytochrome b6f complex. Plant Cell Online. 2000;12:137–149. PubMed PMC

Plumley GF, Schmidt GW. Light-harvesting chlorophyll a/b complexes: interdependent pigment synthesis and protein assembly. Plant Cell Online. 1995;7:689–704. doi: 10.1105/tpc.7.6.689. PubMed DOI PMC

Munekage Y, Hashimoto M, Miyake C, Tomizawa K-I, Endo T, Tasaka M, Shikanai T. Cyclic electron flow around photosystem I is essential for photosynthesis. Nature. 2004;429:579–582. doi: 10.1038/nature02598. PubMed DOI

Rumeau D, Peltier G, Cournac L. Chlororespiration and cyclic electron flow around PSI during photosynthesis and plant stress response. Plant Cell Environ. 2007;30:1041–1051. doi: 10.1111/j.1365-3040.2007.01675.x. PubMed DOI

Peltier G, Schmidt GW. Chlororespiration: an adaptation to nitrogen deficiency in Chlamydomonas reinhardtii. Proc Natl Acad Sci. 1991;88:4791–4795. doi: 10.1073/pnas.88.11.4791. PubMed DOI PMC

Fernandez E, Llamas A, Galvan A. Nitrogen assimilation and its regulation. In: Harris E, editor. The Chlamydomonas Sourcebook. Volume 2: Organellar and Metabolic Processes. 2. Dordrecht: Elsevier; 2009. pp. 69–113.

Martin NC, Chiang K-S, Goodenough UW. Turnover of chloroplast and cytoplasmic ribosomes during gametogenesis in Chlamydomonas reinhardi. Dev Biol. 1976;51:190–201. doi: 10.1016/0012-1606(76)90137-8. PubMed DOI

Wase N, Black PN, Stanley BA, DiRusso CC. Integrated quantitative analysis of nitrogen stress response in Chlamydomonas reinhardtii using metabolite and protein profiling. J Proteome Res. 2014;13:1373–1396. doi: 10.1021/pr400952z. PubMed DOI

Sato N, Seyama Y, Murata N. Lipid-linked desaturation of palmitic acid in monogalactosyl diacylglycerol in the blue-green alga (Cyanobacterium) Anabaena variabilis studied in vivo. Plant Cell Physiol. 1986;27:819–835.

Iijima H, Musumi K, Hada T, Maeda N, Yonezawa Y, Yoshida H, Mizushina Y. Inhibitory effect of monogalactosyldiacylglycerol, extracted from spinach using supercritical CO2, on mammalian DNA polymerase activity. J Agric Food Chem. 2006;54:1627–1632. doi: 10.1021/jf051950c. PubMed DOI

Moellering ER, Benning C. RNA interference silencing of a major lipid droplet protein affects lipid droplet size in Chlamydomonas reinhardtii. Eukaryot Cell. 2010;9:97–106. doi: 10.1128/EC.00203-09. PubMed DOI PMC

Nguyen HM, Baudet M, Cuine S, Adriano JM, Barthe D, Billon E, Bruley C, Beisson F, Peltier G, Ferro M, Li-Beisson Y. Proteomic profiling of oil bodies isolated from the unicellular green microalga Chlamydomonas reinhardtii: with focus on proteins involved in lipid metabolism. Proteomics. 2011;11:4266–4273. doi: 10.1002/pmic.201100114. PubMed DOI

Zhao T, Li G, Mi S, Li S, Hannon GJ, Wang X-J, Qi Y. A complex system of small RNAs in the unicellular green alga Chlamydomonas reinhardtii. Genes Dev. 2007;21:1190–1203. doi: 10.1101/gad.1543507. PubMed DOI PMC

Owttrim GW. RNA helicases and abiotic stress. Nucleic Acids Res. 2006;34:3220–3230. doi: 10.1093/nar/gkl408. PubMed DOI PMC

Pérez-Rodríguez P, Riaño-Pachón DM, Corrêa LGG, Rensing SA, Kersten B, Mueller-Roeber B. PlnTFDB: updated content and new features of the plant transcription factor database. Nucleic Acids Res. 2010;38:D822–D827. doi: 10.1093/nar/gkp805. PubMed DOI PMC

Riano-Pachon DM, Correa LGG, Trejos-Espinosa R, Mueller-Roeber B. Green transcription factors: a Chlamydomonas overview. Genetics. 2008;179:31–39. doi: 10.1534/genetics.107.086090. PubMed DOI PMC

Yuan J, Doucette CD, Fowler WU, Feng X-J, Piazza M, Rabitz HA, Wingreen NS, Rabinowitz JD. Metabolomics-driven quantitative analysis of ammonia assimilation in E. coli. Mol Syst Biol. 2009;5:302. doi: 10.1038/msb.2009.60. PubMed DOI PMC

Martin T, Oswald O, Graham IA. Arabidopsis seedling growth, storage lipid mobilization, and photosynthetic gene expression are regulated by carbon: nitrogen availability. Plant Physiol. 2002;128:472–481. doi: 10.1104/pp.010475. PubMed DOI PMC

Ynalvez RA, Xiao Y, Ward AS, Cunnusamy K, Moroney JV. Identification and characterization of two closely related β-carbonic anhydrases from Chlamydomonas reinhardtii. Physiol Plant. 2008;133:15–26. doi: 10.1111/j.1399-3054.2007.01043.x. PubMed DOI

Baena-González E, Sheen J. Convergent energy and stress signaling. Trends Plant Sci. 2008;13:474–482. doi: 10.1016/j.tplants.2008.06.006. PubMed DOI PMC

Fujii H, Verslues PE, Zhu J-K. Arabidopsis decuple mutant reveals the importance of SnRK2 kinases in osmotic stress responses in vivo. Proc Natl Acad Sci. 2011;108:1717–1722. doi: 10.1073/pnas.1018367108. PubMed DOI PMC

Kamisaka Y, Tomita N, Kimura K, Kainou K, Uemura H. DGA1 (diacylglycerol acyltransferase gene) overexpression and leucine biosynthesis significantly increase lipid accumulation in the delta-snf2 disruptant of Saccharomyces cerevisiae. Biochem J. 2007;408:61–68. doi: 10.1042/BJ20070449. PubMed DOI PMC

Aukerman M, Simmons CR, Allen SM, Loussaert D, Luck S, Sakai H, Tingey SV: Plants having altered agronomic characteristics under nitrogen limiting conditions and related constructs and methods involving genes encoding SNF2 domain-containing polypeptides. United States Patent WO 2010111568 A3.

Robaglia C, Thomas M, Meyer C. Sensing nutrient and energy status by SnRK1 and TOR kinases. Curr Opin Plant Biol. 2012;15:301–307. doi: 10.1016/j.pbi.2012.01.012. PubMed DOI

Hanson J, Smeekens S. Sugar perception and signaling. Curr Opin Plant Biol. 2009;12:562–567. doi: 10.1016/j.pbi.2009.07.014. PubMed DOI

Futai E, Hamamoto S, Orci L, Schekman R. GTP/GDP exchange by Sec12p enables COPII vesicle bud formation on synthetic liposomes. EMBO J. 2004;23:4286–4296. doi: 10.1038/sj.emboj.7600428. PubMed DOI PMC

James GO, Hocart CH, Hillier W, Chen H, Kordbacheh F, Price GD, Djordjevic MA. Fatty acid profiling of Chlamydomonas reinhardtii under nitrogen deprivation. Bioresour Technol. 2011;102:3343–3351. doi: 10.1016/j.biortech.2010.11.051. PubMed DOI

Antonny B, Madden D, Hamamoto S, Orci L, Schekman R. Dynamics of the COPII coat with GTP and stable analogues. Nat Cell Biol. 2001;3:531–537. doi: 10.1038/35078500. PubMed DOI

Zheng H-Q, Chiang-Hsieh Y-F, Chien C-H, Hsu B-KJ, Liu T-L, Chen C-NN, Chang W-C. AlgaePath: comprehensive analysis of metabolic pathways using transcript abundance data from next-generation sequencing in green algae. BMC Genomics. 2014;15:196. doi: 10.1186/1471-2164-15-196. PubMed DOI PMC

Wang Z-Y, Nakano T, Gendron J, He J, Chen M, Vafeados D, Yang Y, Fujioka S, Yoshida S, Asami T. Nuclear-localized BZR1 mediates brassinosteroid-induced growth and feedback suppression of brassinosteroid biosynthesis. Dev Cell. 2002;2:505–513. doi: 10.1016/S1534-5807(02)00153-3. PubMed DOI

Gampala SS, Kim T-W, He J-X, Tang W, Deng Z, Bai M-Y, Guan S, Lalonde S, Sun Y, Gendron JM. An essential role for 14-3-3 proteins in brassinosteroid signal transduction in Arabidopsis. Dev Cell. 2007;13:177–189. doi: 10.1016/j.devcel.2007.06.009. PubMed DOI PMC

Singh AP, Fridman Y, Friedlander-Shani L, Tarkowska D, Strnad M, Savaldi-Goldstein S. Activity of the brassinosteroid transcription factors BZR1 and BES1/BZR2 blocks developmental reprogramming in response to low phosphate availability. Plant Physiol. 2014;166:678–688. doi: 10.1104/pp.114.245019. PubMed DOI PMC

Yu X, Li L, Zola J, Aluru M, Ye H, Foudree A, Guo H, Anderson S, Aluru S, Liu P. A brassinosteroid transcriptional network revealed by genome‐wide identification of BESI target genes in Arabidopsis thaliana. Plant J. 2011;65:634–646. doi: 10.1111/j.1365-313X.2010.04449.x. PubMed DOI

Sakamoto W, Zaltsman A, Adam Z, Takahashi Y. Coordinated regulation and complex formation of YELLOW VARIEGATED1 and YELLOW VARIEGATED 2, chloroplastic FtsH metalloproteases involved in the repair cycle of photosystem II in Arabidopsis thylakoid membranes. Plant Cell Online. 2003;15:2843–2855. doi: 10.1105/tpc.017319. PubMed DOI PMC

Nixon PJ, Barker M, Boehm M, de Vries R, Komenda J. FtsH-mediated repair of the photosystem II complex in response to light stress. J Exp Bot. 2005;56:357–363. doi: 10.1093/jxb/eri021. PubMed DOI

Zaltsman A, Ori N, Adam Z. Two types of FtsH protease subunits are required for chloroplast biogenesis and Photosystem II repair in Arabidopsis. Plant Cell Online. 2005;17:2782–2790. doi: 10.1105/tpc.105.035071. PubMed DOI PMC

Ogura T, Inoue K, Tatsuta T, Suzaki T, Karata K, Young K, Su L-H, Fierke CA, Jackman JE, Raetz CRH, Coleman J, Tomoyasu T, Matsuzawa H. Balanced biosynthesis of major membrane components through regulated degradation of the committed enzyme of lipid A biosynthesis by the AAA protease FtsH (HflB) in Escherichia coli. Mol Microbiol. 1999;31:833–844. doi: 10.1046/j.1365-2958.1999.01221.x. PubMed DOI

Lodha M, Schroda M. Analysis of chromatin structure in the control regions of the Chlamydomonas HSP70A and RBCS2 genes. Plant Mol Biol. 2005;59:501–513. doi: 10.1007/s11103-005-0450-0. PubMed DOI

Hoehenwarter W, Wienkoop S. Spectral counting robust on high mass accuracy mass spectrometers. Rapid Commun Mass Spectrom. 2010;24:3609–3614. doi: 10.1002/rcm.4818. PubMed DOI

Paoletti AC, Parmely TJ, Tomomori-Sato C, Sato S, Zhu D, Conaway RC, Conaway JW, Florens L, Washburn MP. Quantitative proteomic analysis of distinct mammalian mediator complexes using normalized spectral abundance factors. Proc Natl Acad Sci. 2006;103:18928–18933. doi: 10.1073/pnas.0606379103. PubMed DOI PMC

Valledor L, Jorrin J. Back to the basics: maximizing the information obtained by quantitative two dimensional gel electrophoresis analyses by an appropriate experimental design and statistical analyses. J Proteomics. 2011;74:1–18. doi: 10.1016/j.jprot.2010.07.007. PubMed DOI

Valledor L, Romero C, Jorrín-Novo J. Standardization of data processing and statistical analysis in a 2-DE-based comparative plant proteomics experiment. Methods Mol Biol. 2013;1072:51–60. doi: 10.1007/978-1-62703-631-3_5. PubMed DOI

Valledor L, Escandón M, Meijón M, Nukarinen E, Cañal MJ, Weckwerth W. A universal protocol for the combined isolation of metabolites, DNA, long RNAs, small RNAs, and proteins from plants and microorganisms. Plant J. 2014;79:173–180. doi: 10.1111/tpj.12546. PubMed DOI

Furuhashi T, Fragner L, Furuhashi K, Valledor L, Sun X, Weckwerth W. Metabolite changes with induction of Cuscuta haustorium and translocation from host plants. J Plant Interact. 2011;7:84–93. doi: 10.1080/17429145.2011.603059. DOI

R Development Core Team: R: A language and environment for statistical computing.ᅟ. Vienna, Austria: R Foundation for Statistical Computing; 2012.

Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez JY, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. Fiji: an open-source platform for biological-image analysis. Nat Meth. 2012;9:676–682. doi: 10.1038/nmeth.2019. PubMed DOI PMC

Najít záznam

Citační ukazatele

Nahrávání dat ...

    Možnosti archivace