A multi-omic characterization of temperature stress in a halotolerant Scenedesmus strain for algal biotechnology
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Abstract Microalgae efficiently convert sunlight into lipids and carbohydrates, offering bio-based alternatives for energy and chemical production. Improving algal productivity and robustness against abiotic stress requires a systems level characterization enabled by functional genomics. Here, we characterize a halotolerant microalgaScenedesmussp. NREL 46B-D3 demonstrating peak growth near 25 °C that reaches 30 g/m2/day and the highest biomass accumulation capacity post cell division reported to date for a halotolerant strain. Functional genomics analysis revealed that genes involved in lipid production, ion channels and antiporters are expanded and expressed. Exposure to temperature stress shifts fatty acid metabolism and increases amino acids synthesis. Co-expression analysis shows that many fatty acid biosynthesis genes are overexpressed with specific transcription factors under cold stress. These and other genes involved in the metabolic and regulatory response to temperature stress can be further explored for strain improvement.
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The mechanisms that govern and regulate the adaptation of physiological responses to temperature stress are largely unknown.
“The mechanisms that govern and regulate the adaptation of physiological responses to temperature stress are largely unknown [152].”
From Microalgae biofuels: illuminating the path to a sustainable future amidst challenges and opportunities (2024) · cites this paper as [152]
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A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION
Bligh, E. G., & Dyer, W. J. (1959) · Canadian Journal of Biochemistry and Physiology · doi:10.1139/o59-099 · Cited by 54,751 · see citing works
OrthoFinder: phylogenetic orthology inference for comparative genomics
Emms, D. M., & Kelly, S. (2019) · Genome Biology · doi:10.1186/s13059-019-1832-y · Cited by 7,676 · see citing works
Effect of temperature and light on the growth of algae species: A review
Singh, S. P., & Singh, P. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.05.024 · Cited by 1,017 · see citing works
Bogen, C., Al-Dilaimi, A., Albersmeier, A., Wichmann, J., Grundmann, M., Rupp, O., Lauersen, K. J., Blifernez-Klassen, O., Kalinowski, J., Goesmann, A., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-926 · Cited by 108 · see citing works
Development of a high-productivity, halophilic, thermotolerant microalga Picochlorum renovo
Dahlin, L. R., Gerritsen, A. T., Henard, C. A., Van Wychen, S., Linger, J. G., Kunde, Y., Hovde, B. T., Starkenburg, S. R., Posewitz, M. C., & Guarnieri, M. T. (2019) · Communications Biology · doi:10.1038/s42003-019-0620-2 · Cited by 86 · see citing works
Flagged first, then by citations
Research works printed but not linked: 103
- [1]Chisti Y Biodiesel from microalgae Biotechnol. Adv. 2007 25 294 306 10.1016/j.biotechadv.2007.02.001 17350212 · DOI · Paper page
- [2]Guiry MD How many species of algae are there? J. Phycol. 2012 48 1057 1063 10.1111/j.1529-8817.2012.01222.x 27011267 · DOI · Paper page
- [4]Dahlin LR Down-selection and outdoor evaluation of novel, halotolerant algal strains for winter cultivation Front. Plant Sci. 2018 9 1513 10.3389/fpls.2018.01513 30459782 PMC6232915 · DOI
- [5]Selvarajan R Screening and evaluation of some green algal strains (Chlorophyceae) isolated from freshwater and soda lakes for biofuel production Energies 2015 2015 7502 7521 10.3390/en8077502 · DOI
- [6]Nalley JO O’Donnell DR Litchman E Temperature effects on growth rates and fatty acid content in freshwater algae and cyanobacteria Algal Res. 2018 35 500 507 10.1016/j.algal.2018.09.018 · DOI
- [7]Raven JA Geider RJ Temperature and algal growth N. Phytologist 1988 110 441 461 10.1111/j.1469-8137.1988.tb00282.x · DOI
- [9]Lynch DV Thompson GA Low temperature-induced alterations in the chloroplast and microsomal membranes of Dunaliella salina Plant Physiol. 1982 69 1369 1375 10.1104/pp.69.6.1369 16662406 PMC426421 · DOI
- [10]Sushchik NN Kalacheva GS Zhila NO Gladyshev MI Volova TG A temperature dependence of the intra- and extracellular fatty-acid composition of green algae and cyanobacterium Russian J. Plant Physiol. 2003 50 374 380 10.1023/A:1023830405898 · DOI
- [11]Wang Y He B Sun Z Chen Y-F Chemically enhanced lipid production from microalgae under low sub-optimal temperature Algal Res. 2016 16 20 27 10.1016/j.algal.2016.02.022 · DOI
- [12]Willette S Alterations in lipidome and metabolome profiles of Nannochloropsis salina in response to reduced culture temperature during sinusoidal temperature and light Algal Res. 2018 32 79 92 10.1016/j.algal.2018.03.001 · DOI
- [13]He Q Yang H Hu C Effects of temperature and its combination with high light intensity on lipid production of Monoraphidium dybowskii Y2 from semi-arid desert areas Bioresour. Technol. 2018 265 407 414 10.1016/j.biortech.2018.06.044 29933188 · DOI
- [15]Ma ZX Response mechanism of the docosahexaenoic acid producer Aurantiochytrium under cold stress Algal Res. 2017 25 191 199 10.1016/j.algal.2017.05.021 · DOI
- [16]An M Temperature regulates fatty acid desaturases at a transcriptional level and modulates the fatty acid profile in the Antarctic microalga Chlamydomonas sp. ICE-L Bioresour. Technol. 2013 134 151 157 10.1016/j.biortech.2013.01.142 23500572 · DOI
- [17]McGowen J The Algae Testbed Public-Private Partnership (ATP3) framework; establishment of a national network of testbed sites to support sustainable algae production Algal Res. 2017 25 168 177 10.1016/j.algal.2017.05.017 · DOI
- [18]Quinn JC Davis R The potentials and challenges of algae based biofuels: a review of the techno-economic, life cycle, and resource assessment modeling Bioresour. Technol. 2015 184 444 452 10.1016/j.biortech.2014.10.075 25453439 · DOI
- [20]Fields MW Sources and resources: importance of nutrients, resource allocation, and ecology in microalgal cultivation for lipid accumulation Appl. Microbiol. Biot. 2014 98 4805 4816 10.1007/s00253-014-5694-7 PMC4024127 24695829 · DOI
- [21]Lammers PJ Review of the cultivation program within the National Alliance for Advanced Biofuels and Bioproducts Algal Res. 2017 22 166 186 10.1016/j.algal.2016.11.021 · DOI
- [22]Redfield AC The biological control of chemical factors in the environment Am. Sci. 1958 46 205 221 24545739
- [23]Breuer G Lamers PP Martens DE Draaisma RB Wijffels RH The impact of nitrogen starvation on the dynamics of triacylglycerol accumulation in nine microalgae strains Bioresour. Technol. 2012 124 217 226 10.1016/j.biortech.2012.08.003 22995162 · DOI
- [24]Carreres, B. M. et al. Draft genome sequence of the oleaginous green alga Tetradesmus obliquus UTEX 393. Genome Announc.5, e01449–16 (2017). PMC5255914 28104651
- [25]León-Saiki GM The role of starch as transient energy buffer in synchronized microalgal growth in Acutodesmus obliquus Algal Res. 2017 25 160 167 10.1016/j.algal.2017.05.018 · DOI
- [26]Simao FA Waterhouse RM Ioannidis P Kriventseva EV Zdobnov EM BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs Bioinformatics 2015 31 3210 3212 10.1093/bioinformatics/btv351 26059717 · DOI · Paper page
- [27]Waterhouse RM BUSCO applications from quality assessments to gene prediction and phylogenomics Mol. Biol. Evol. 2018 35 543 548 10.1093/molbev/msx319 29220515 PMC5850278 · DOI · Paper page
- [28]Starkenburg SR Draft nuclear genome, complete chloroplast genome, and complete mitochondrial genome for the biofuel/bioproduct feedstock species Scenedesmus obliquus strain DOE0152z Genome Announc. 2017 5 e00617 17 10.1128/genomeA.00617-17 28798164 PMC5552973 · DOI
- [29]Carreres BM The diurnal transcriptional landscape of the microalga Tetradesmus obliquus Algal Res. 2019 40 101477 10.1016/j.algal.2019.101477 · DOI
- [30]Saier MH Jr. The Transporter Classification Database (TCDB): recent advances Nucleic Acids Res 2016 44 D372 D379 10.1093/nar/gkv1103 26546518 PMC4702804 · DOI
- [31]Jin J PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plants Nucleic Acids Res. 2017 45 D1040 D1045 10.1093/nar/gkw982 27924042 PMC5210657 · DOI
- [32]Claudel-Renard C Chevalet C Faraut T Kahn D Enzyme-specific profiles for genome annotation: PRIAM Nucleic Acids Res. 2003 31 6633 6639 10.1093/nar/gkg847 14602924 PMC275543 · DOI
- [33]Wang M Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking Nat. Biotechnol. 2016 34 828 837 10.1038/nbt.3597 27504778 PMC5321674 · DOI · Paper page
- [34]Langfelder P Horvath S WGCNA: an R package for weighted correlation network analysis BMC Bioinforma. 2008 9 559 10.1186/1471-2105-9-559 PMC2631488 19114008 · DOI · Paper page
- [35]Hu JQ Genome-wide identification of transcription factors and transcription-factor binding sites in oleaginous microalgae Nannochloropsis Sci. Rep. 2014 4 582 593 PMC5154493 24965723
- [36]Li-Beisson Y Beisson F Riekhof W Metabolism of acyl-lipids in Chlamydomonas reinhardtii Plant J. 2015 82 504 522 10.1111/tpj.12787 25660108 · DOI · Paper page
- [37]Breuer G Martens DE Draaisma RB Wijffels RH Lamers PP Photosynthetic efficiency and carbon partitioning in nitrogen-starved Scenedesmus obliquus Algal Res. 2015 9 254 262 10.1016/j.algal.2015.03.012 · DOI
- [38]Nag Dasgupta C Draft genome sequence and detailed characterization of biofuel production by oleaginous microalga Scenedesmus quadricauda LWG002611 Biotechnol. Biofuels 2018 11 308 10.1186/s13068-018-1308-4 30455737 PMC6225629 · DOI
- [39]Sirikhachornkit A Suttangkakul A Vuttipongchaikij S Juntawong P De novo transcriptome analysis and gene expression profiling of an oleaginous microalga Scenedesmus acutus TISTR8540 during nitrogen deprivation-induced lipid accumulation Sci. Rep. 2018 8 3668 10.1038/s41598-018-22080-8 29487383 PMC5829077 · DOI
- [40]Sze H Expression patterns of a novel AtCHX gene family highlight potential roles in osmotic adjustment and K+ homeostasis in pollen development Plant Physiol. 2004 136 2532 2547 10.1104/pp.104.046003 15347787 PMC523320 · DOI
- [41]Rubio F Gassmann W Schroeder JI Sodium-driven potassium uptake by the plant potassium transporter HKT1 and mutations conferring salt tolerance Science 1995 270 1660 1663 10.1126/science.270.5242.1660 7502075 · DOI
- [42]Arora N Pienkos PT Pruthi V Poluri KM Guarnieri MT Leveraging algal omics to reveal potential targets for augmenting TAG accumulation Biotechnol. Adv. 2018 36 1274 1292 10.1016/j.biotechadv.2018.04.005 29678388 · DOI
- [43]Rubio V A conserved MYB transcription factor involved in phosphate starvation signaling both in vascular plants and in unicellular algae Genes Dev. 2001 15 2122 2133 10.1101/gad.204401 11511543 PMC312755 · DOI
- [44]Thiriet-Rupert S Transcription factors in microalgae: genome-wide prediction and comparative analysis BMC Genomics 2016 17 282 10.1186/s12864-016-2610-9 27067009 PMC4827209 · DOI
- [45]Qu B A wheat CCAAT box-binding transcription factor increases the grain yield of wheat with less fertilizer input Plant Physiol. 2015 167 411 423 10.1104/pp.114.246959 25489021 PMC4326744 · DOI
- [46]Tao Z Embryonic resetting of the parental vernalized state by two B3 domain transcription factors in Arabidopsis Nat. Plants 2019 5 424 435 10.1038/s41477-019-0402-3 30962525 · DOI
- [47]Cominelli E Sala T Calvi D Gusmaroli G Tonelli C Over-expression of the Arabidopsis AtMYB41 gene alters cell expansion and leaf surface permeability Plant J. 2008 53 53 64 10.1111/j.1365-313X.2007.03310.x 17971045 · DOI
- [48]Antosch M Mortensen SA Grasser KD Plant proteins containing high mobility group box DNA-binding domains modulate different nuclear processes Plant Physiol. 2012 159 875 883 10.1104/pp.112.198283 22585776 PMC3387713 · DOI
- [49]Converti A Casazza AA Ortiz EY Perego P Del Borghi M Effect of temperature and nitrogen concentration on the growth and lipid content of Nannochloropsis oculata and Chlorella vulgaris for biodiesel production Chem. Eng. Process.: Process Intensif. 2009 48 1146 1151 10.1016/j.cep.2009.03.006 · DOI · Paper page
- [50]Xin L Hong-ying H Yu-ping Z Growth and lipid accumulation properties of a freshwater microalga Scenedesmus sp. under different cultivation temperature Bioresour. Technol. 2011 102 3098 3102 10.1016/j.biortech.2010.10.055 21055924 · DOI
- [51]Lyukevich AA Mouradyan EA Los DA Molecular cloning and stress-dependent expression of a gene encoding omega 3-fatty acid desaturase in the microalga Dunaliella salina Russian J. Plant Physiol. 2003 50 481 486 10.1023/A:1024764522062 · DOI
- [52]Nguyen HM The green microalga Chlamydomonas reinhardtii has a single omega-3 fatty acid desaturase that localizes to the chloroplast and impacts both plastidic and extraplastidic membrane lipids Plant Physiol. 2013 163 914 928 10.1104/pp.113.223941 23958863 PMC3793068 · DOI
- [53]Xing G Integrated analyses of transcriptome, proteome and fatty acid profilings of the oleaginous microalga Auxenochlorella protothecoides UTEX 2341 reveal differential reprogramming of fatty acid metabolism in response to low and high temperatures Algal Res. 2018 33 16 27 10.1016/j.algal.2018.04.028 · DOI
- [54]Zhang P A novel omega-3 fatty acid desaturase involved in acclimation processes of polar condition from Antarctic ice algae Chlamydomonas sp. ICE-L Mar. Biotechnol. 2011 13 393 401 10.1007/s10126-010-9309-8 20668899 · DOI
- [55]Sharma SS Dietz KJ The significance of amino acids and amino acid-derived molecules in plant responses and adaptation to heavy metal stress J. Exp. Bot. 2006 57 711 726 10.1093/jxb/erj073 16473893 · DOI
- [56]de Jaeger L Neochloris oleoabundans is worth its salt: Transcriptomic analysis under salt and nitrogen stress PLoS ONE 2018 13 e0194834 10.1371/journal.pone.0194834 29652884 PMC5898717 · DOI
- [57]Ermilova E Cold stress response: an overview in Chlamydomonas Front. Plant Sci. 2020 11 569437 10.3389/fpls.2020.569437 33013991 PMC7494811 · DOI
- [58]O’Kane D Gill V Boyd P Burdon R Chilling, oxidative stress and antioxidant responses in Arabidopsis thaliana callus Planta 1996 198 371 377 10.1007/BF00620053 8717134 · DOI
- [59]Zalutskaya ZM Skryabina US Ermilova EV Generation of hydrogen peroxide and transcriptional regulation of antioxidant enzyme expression in Chlamydomonas reinhardtii under hypothermia Russian J. Plant Physiol. 2019 66 223 230 10.1134/S1021443719020171 · DOI
- [60]Rai V Muthuraj M Gandhi MN Das D Srivastava S Real-time iTRAQ-based proteome profiling revealed the central metabolism involved in nitrogen starvation induced lipid accumulation in microalgae Sci. Rep. 2017 7 45732 10.1038/srep45732 28378827 PMC5381106 · DOI
- [61]Valledor L Furuhashi T Hanak AM Weckwerth W Systemic cold stress adaptation of Chlamydomonas reinhardtii Mol. Cell Proteom. 2013 12 2032 2047 10.1074/mcp.M112.026765 PMC3734567 23564937 · DOI
- [62]Siripornadulsil S Desh Pal SV Traina S Sayre RT Molecular mechanisms of proline-mediated tolerance to toxic heavy metals in transgenic microalgae Plant Cell 2002 14 2837 2847 10.1105/tpc.004853 12417705 PMC152731 · DOI
- [63]Verbruggen N Hermans C Proline accumulation in plants: a review Amino Acids 2008 35 753 759 10.1007/s00726-008-0061-6 18379856 · DOI
- [64]Alcázar R Integration of polyamines in the cold acclimation response Plant Sci. 2011 180 31 38 10.1016/j.plantsci.2010.07.022 21421344 · DOI
- [65]Minocha R Majumdar R Minocha SC Polyamines and abiotic stress in plants: a complex relationship Front. Plant Sci. 2014 5 175 10.3389/fpls.2014.00175 24847338 PMC4017135 · DOI
- [66]Shi HT Chan ZL Improvement of plant abiotic stress tolerance through modulation of the polyamine pathway J. Integr. Plant Biol. 2014 56 114 121 10.1111/jipb.12128 24401132 · DOI
- [67]Tabor CW Tabor H Polyamines Annu. Rev. Biochem. 1984 53 749 790 10.1146/annurev.bi.53.070184.003533 6206782 · DOI
- [68]Kinnersley AM Turano FJ Gamma aminobutyric acid (GABA) and plant responses to stress Crit. Rev. Plant Sci. 2000 19 479 509 10.1080/07352680091139277 · DOI
- [69]Sadowsky A Ott S Mettler-Altmann T Metabolic response to desiccation stress in strains of green algal photobionts (Trebouxia) from two Antarctic lichens of southern habitats Phycologia 2016 55 703 714 10.2216/15-127.1 · DOI
- [71]Arora N Elucidating the unique physiological responses of halotolerant Scenedesmus sp. cultivated in sea water for biofuel production Algal Res. 2019 37 260 268 10.1016/j.algal.2018.12.003 · DOI
- [72]Ajjawi I Lipid production in Nannochloropsis gaditana is doubled by decreasing expression of a single transcriptional regulator Nat. Biotechnol. 2017 35 647 652 10.1038/nbt.3865 28628130 · DOI
- [73]Andersen, R. Algal Culturing Technique. (Elsevier, 2005).
- [74]Kent WJ BLAT–the BLAST-like alignment tool Genome Res. 2002 12 656 664 10.1101/gr.229202 11932250 PMC187518 · DOI · Paper page
- [75]Jurka J Repbase Update, a database of eukaryotic repetitive elements Cytogenet. Genome Res 2005 110 462 467 10.1159/000084979 16093699 · DOI
- [76]Price AL Jones NC Pevzner PA De novo identification of repeat families in large genomes Bioinformatics 2005 21 i351 i358 10.1093/bioinformatics/bti1018 15961478 · DOI
- [77]Salamov AA Solovyev VV Ab initio gene finding in Drosophila genomic DNA Genome Res 2000 10 516 522 10.1101/gr.10.4.516 10779491 PMC310882 · DOI
- [78]Birney E Durbin R Using GeneWise in the Drosophila annotation experiment Genome Res. 2000 10 547 548 10.1101/gr.10.4.547 10779496 PMC310858 · DOI
- [79]Hoff KJ Lange S Lomsadze A Borodovsky M Stanke M BRAKER1: unsupervised RNA-Seq-based genome annotation with GeneMark-ET and AUGUSTUS Bioinformatics 2016 32 767 769 10.1093/bioinformatics/btv661 26559507 PMC6078167 · DOI
- [80]Nielsen H Engelbrecht J Brunak S von Heijne G Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites Protein Eng. 1997 10 1 6 10.1093/protein/10.1.1 9051728 · DOI
- [81]Melen K Krogh A von Heijne G Reliability measures for membrane protein topology prediction algorithms J. Mol. Biol. 2003 327 735 744 10.1016/S0022-2836(03)00182-7 12634065 · DOI
- [82]Quevillon E InterProScan: protein domains identifier Nucleic Acids Res. 2005 33 W116 W120 10.1093/nar/gki442 15980438 PMC1160203 · DOI
- [83]UniProt Consortium. UniProt: a worldwide hub of protein knowledge Nucleic Acids Res. 2019 47 D506 D515 10.1093/nar/gky1049 30395287 PMC6323992 · DOI · Paper page
- [84]Kanehisa M Sato Y Furumichi M Morishima K Tanabe M New approach for understanding genome variations in KEGG Nucleic Acids Res. 2018 47 D590 D595 10.1093/nar/gky962 30321428 PMC6324070 · DOI
- [85]Koonin EV A comprehensive evolutionary classification of proteins encoded in complete eukaryotic genomes Genome Biol. 2004 5 R7 10.1186/gb-2004-5-2-r7 14759257 PMC395751 · DOI
- [86]Gene Ontology Consortium. Gene Ontology Consortium: going forward Nucleic Acids Res. 2015 43 D1049 D1056 10.1093/nar/gku1179 25428369 PMC4383973 · DOI · Paper page
- [87]Seppey M Manni M Zdobnov EM BUSCO: assessing genome assembly and annotation completeness Methods Mol. Biol. 2019 1962 227 245 10.1007/978-1-4939-9173-0_14 31020564 · DOI
- [88]Tillich M GeSeq - versatile and accurate annotation of organelle genomes Nucleic Acids Res. 2017 45 W6 W11 10.1093/nar/gkx391 28486635 PMC5570176 · DOI
- [89]Grigoriev IV PhycoCosm, a comparative algal genomics resource Nucleic Acids Res. 2020 49 D1004 D1011 10.1093/nar/gkaa898 33104790 PMC7779022 · DOI
- [91]Merchant SS The Chlamydomonas genome reveals the evolution of key animal and plant functions Science 2007 318 245 250 10.1126/science.1143609 17932292 PMC2875087 · DOI
- [92]Roth MS Chromosome-level genome assembly and transcriptome of the green alga Chromochloris zofingiensis illuminates astaxanthin production Proc. Natl Acad. Sci. USA 2017 114 E4296 E4305 10.1073/pnas.1619928114 28484037 PMC5448231 · DOI
- [93]Blanc G The genome of the polar eukaryotic microalga Coccomyxa subellipsoidea reveals traits of cold adaptation Genome Biol. 2012 13 R39 10.1186/gb-2012-13-5-r39 22630137 PMC3446292 · DOI
- [94]Blanc G The Chlorella variabilis NC64A genome reveals adaptation to photosymbiosis, coevolution with viruses, and cryptic sex Plant Cell 2010 22 2943 2955 10.1105/tpc.110.076406 20852019 PMC2965543 · DOI
- [95]Polle JEW Draft nuclear genome sequence of the halophilic and beta-carotene-accumulating green alga Dunaliella salina strain CCAP19/18 Genome Announc. 2017 5 e01105 17 10.1128/genomeA.01105-17 29074648 PMC5658486 · DOI
- [96]Hanschen ER The Gonium pectorale genome demonstrates co-option of cell cycle regulation during the evolution of multicellularity Nat. Commun. 2016 7 11370 10.1038/ncomms11370 27102219 PMC4844696 · DOI
- [98]Suzuki S Yamaguchi H Nakajima N Kawachi M Raphidocelis subcapitata (=Pseudokirchneriella subcapitata) provides an insight into genome evolution and environmental adaptations in the Sphaeropleales Sci. Rep. 2018 8 8058 10.1038/s41598-018-26331-6 29795299 PMC5966456 · DOI
- [99]Prochnik SE Genomic analysis of organismal complexity in the multicellular green alga Volvox carteri Science 2010 329 223 226 10.1126/science.1188800 20616280 PMC2993248 · DOI
- [100]Stamatakis A RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies Bioinformatics 2014 30 1312 1313 10.1093/bioinformatics/btu033 24451623 PMC3998144 · DOI · Paper page
- [101]De Bie T Cristianini N Demuth JP Hahn MW CAFE: a computational tool for the study of gene family evolution Bioinformatics 2006 22 1269 1271 10.1093/bioinformatics/btl097 16543274 · DOI · Paper page
- [102]Han MV Thomas GW Lugo-Martinez J Hahn MW Estimating gene gain and loss rates in the presence of error in genome assembly and annotation using CAFE 3 Mol. Biol. Evol. 2013 30 1987 1997 10.1093/molbev/mst100 23709260 · DOI
- [103]Bell TAS Doig L Peyton BM Gerlach R Fields MW Contributions of the microbial community to algal biomass and biofuel productivity in a wastewater treatment lagoon system Algal Res. 2019 39 101461 10.1016/j.algal.2019.101461 · DOI
- [104]Love MI Huber W Anders S Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 Genome Biol. 2014 15 550 10.1186/s13059-014-0550-8 25516281 PMC4302049 · DOI · Paper page
- [106]Yao Y Analysis of metabolomics datasets with high-performance computing and metabolite atlases Metabolites 2015 5 431 442 10.3390/metabo5030431 26287255 PMC4588804 · DOI
- [107]Smith CA METLIN: a metabolite mass spectral database Ther. Drug Monit. 2005 27 747 751 10.1097/01.ftd.0000179845.53213.39 16404815 · DOI · Paper page
- [108]Botte CY Identification of plant-like galactolipids in Chromera velia, a photosynthetic relative of malaria parasites J. Biol. Chem. 2011 286 29893 29903 10.1074/jbc.M111.254979 21712377 PMC3191030 · DOI
- [109]McAnoy AM Wu CC Murphy RC Direct qualitative analysis of triacylglycerols by electrospray mass spectrometry using a linear ion trap J. Am. Soc. Mass Spectrom. 2005 16 1498 1509 10.1016/j.jasms.2005.04.017 16019221 · DOI
- [110]Nothias LF Feature-based molecular networking in the GNPS analysis environment Nat. Methods 2020 17 905 908 10.1038/s41592-020-0933-6 32839597 PMC7885687 · DOI
- [111]Pluskal T Castillo S Villar-Briones A Oresic M MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data BMC Bioinforma. 2010 11 395 10.1186/1471-2105-11-395 PMC2918584 20650010 · DOI
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Wang, M., Ye, X., Bi, H., & Shen, Z. (2024) · Biotechnology for Biofuels and Bioproducts · doi:10.1186/s13068-024-02461-0 · Cited by 201 · see citing works
“The mechanisms that govern and regulate the adaptation of physiological responses to temperature stress are largely unknown [152].”
Background
- Authors
- Calhoun, S., Bell, T. A. S., Dahlin, L. R., Kunde, Y., LaButti, K., Louie, K. B., Kuftin, A., Treen, D., Dilworth, D., Mihaltcheva, S., Daum, C., Bowen, B. P., Northen, T. R., Guarnieri, M. T., Starkenburg, S. R., & Grigoriev, I. V.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Los Alamos National Laboratory (US)
- National Laboratory of the Rockies (US)
- Corresponding author
- Starkenburg, Shawn R.
- Grigoriev, Igor V.
- ORCID
- Venue
- Communications Biology
- Published
- 2021-03-12
- Volume
- 4
- Issue
- 1
- Pages
- 333-333
- ISSN
- 2399-3642 (ISSN-L)
- PMC
- PMC7955037
- OpenAlex
- W3134274179
- Cited by
- 60
- References
- 5
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- FWCI
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- journal article
- Language
- en
- Open access
- gold
- doi.org
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- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
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- Funders
- U.S. Department of Energy (-AC02-05CH11231, DE -AC36-08GO28308, Contract No. DE-AC02-05-CH11231, No. DE-AC36-08GO28308, 05CH11231, No. DE-AC02-05-CH11231, DE AC02 05CH11231, NL0032266, 08GO28308, DE-AC36, Contract No. DE-AC36-08GO28308, AC36‐08GO28308, DE-AC02-)
- Joint Genome Institute (AC02-05CH11231, DE–AC02–05CH11231)
- Office of Science (No. DE-AC02- 05-CH11231, DEAC02–05CH11231, AC36-08GO28308, AC02-05CH11231, DE-AC02, 05CH11231, Contract No. DE-AC02-05CH11231, DE-AC36-08GO28308)
- Office of Energy Efficiency and Renewable Energy (AC02-05CH11231, DE- AC02-05CH11231, Contract No. DE-AC36-08GO28308, No. DE-AC02-05CH11231, DE-AC36-08-GO28308., Contract No. DE-AC02-05CH11231, AC36-08-GO28308, NL0032266, No. DE-AC36-08GO28308, NL0032355)
- Bioenergy Technologies Office (Contract No. DE-AC36-08GO28308, DE-AC36-08-GO28308, DE-AC02- 05CH11231, NL0032266)
- Office of Energy Efficiency
- National Renewable Energy Laboratory (Contract No. DE-AC36-08GO28308, DE-AC36-08-GO28308, AC36-08GO28308, DE-AC02-05CH11231)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Keywords
- temperature stress, halotolerant microalgae, Scenedesmus, lipid production, fatty acid synthesis, ion channels, antiporters, amino acid synthesis, cold stress, transcription factors, gene co-expression, abiotic stress tolerance, algal biotechnology, biomass accumulation
- MeSH terms
- Amino Acids, Energy Metabolism, Fatty Acids, Gene Expression Regulation, Ion Channels, Temperature, Transcription Factors, Genome, Antiporters, Biomass, Gene Expression Profiling, Scenedesmus, Lipogenesis, Salt Tolerance, Metabolomics, Metabolome, Microalgae, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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