Plants in silico: why, why now and what?--an integrative platform for plant systems biology research.
暂无分享,去创建一个
M. Stitt | A. Millar | J. Lynch | S. Long | Xinguang Zhu | David LeBauer
[1] S. Long,et al. Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential , 2015, Cell.
[2] Joachim Selbig,et al. Starch as a major integrator in the regulation of plant growth , 2009, Proceedings of the National Academy of Sciences.
[3] L. Sweetlove,et al. Modelling metabolic CO₂ evolution--a fresh perspective on respiration. , 2013, Plant, cell & environment.
[4] R. Clayton,et al. A computational model of auxin and pH dynamics in a single plant cell. , 2012, Journal of theoretical biology.
[5] P E H Minchin,et al. A closed-form solution for steady-state coupled phloem/xylem flow using the Lambert-W function. , 2013, Plant, cell & environment.
[6] Joost T. van Dongen,et al. Diurnal Changes of Polysome Loading Track Sucrose Content in the Rosette of Wild-Type Arabidopsis and the Starchless pgm Mutant1[W][OA] , 2013, Plant Physiology.
[7] Yunbi Xu,et al. Leaf-level water use efficiency determined by carbon isotope discrimination in rice seedlings: genetic variation associated with population structure and QTL mapping , 2009, Theoretical and Applied Genetics.
[8] Jonathan P Lynch,et al. Complementarity in root architecture for nutrient uptake in ancient maize/bean and maize/bean/squash polycultures. , 2012, Annals of botany.
[9] M. Stitt,et al. Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize , 2012, Proceedings of the National Academy of Sciences.
[10] A. Ruane,et al. Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions , 2015, Global change biology.
[11] K. Wilson,et al. OAK FOREST CARBON AND WATER SIMULATIONS: MODEL INTERCOMPARISONS AND EVALUATIONS AGAINST INDEPENDENT DATA , 2004 .
[12] Y. Poirier,et al. Regulation of phosphate starvation responses in plants: signaling players and cross-talks. , 2010, Molecular plant.
[13] D. Fell,et al. A Genome-Scale Metabolic Model of Arabidopsis and Some of Its Properties1[C][W] , 2009, Plant Physiology.
[14] M. Stitt,et al. Arabidopsis coordinates the diurnal regulation of carbon allocation and growth across a wide range of photoperiods. , 2014, Molecular plant.
[15] J. McGrath,et al. Can the Cyanobacterial Carbon-Concentrating Mechanism Increase Photosynthesis in Crop Species? A Theoretical Analysis1[W][OPEN] , 2014, Plant Physiology.
[16] D. Ort,et al. Optimizing Antenna Size to Maximize Photosynthetic Efficiency[W] , 2010, Plant Physiology.
[17] Stephen P. Long,et al. Modification of the response of photosynthetic productivity to rising temperature by atmospheric CO2 concentrations: Has its importance been underestimated? , 1991 .
[18] B. Palsson,et al. The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[19] Ottoline Leyser,et al. Signal integration in the control of shoot branching , 2011, Nature Reviews Molecular Cell Biology.
[20] Yu Wang,et al. The next generation models for crops and agro-ecosystems , 2011, Science China Information Sciences.
[21] Joachim Selbig,et al. A Robot-Based Platform to Measure Multiple Enzyme Activities in Arabidopsis Using a Set of Cycling Assays: Comparison of Changes of Enzyme Activities and Transcript Levels during Diurnal Cycles and in Prolonged Darknessw⃞ , 2004, The Plant Cell Online.
[22] Keith A. Mott,et al. Modelling stomatal conductance in response to environmental factors. , 2013, Plant, cell & environment.
[23] Xin-Guang Zhu,et al. Optimal crop canopy architecture to maximise canopy photosynthetic CO2 uptake under elevated CO2 - a theoretical study using a mechanistic model of canopy photosynthesis. , 2013, Functional plant biology : FPB.
[24] Mary Shimoyama,et al. Multiscale Modeling and Data Integration in the Virtual Physiological Rat Project , 2012, Annals of Biomedical Engineering.
[25] S. Long,et al. FACE-ing the facts: inconsistencies and interdependence among field, chamber and modeling studies of elevated [CO2] impacts on crop yield and food supply. , 2008, The New phytologist.
[26] B. Usadel,et al. Ribosome and transcript copy numbers, polysome occupancy and enzyme dynamics in Arabidopsis , 2009, Molecular systems biology.
[27] Rob Kooper,et al. On improving the communication between models and data. , 2013, Plant, cell & environment.
[28] Xavier Draye,et al. Root Systems Biology: Integrative Modeling across Scales, from Gene Regulatory Networks to the Rhizosphere1 , 2013, Plant Physiology.
[29] Xin-Guang Zhu,et al. The Mechanistic Basis of Internal Conductance: A Theoretical Analysis of Mesophyll Cell Photosynthesis and CO2 Diffusion1[W][OA] , 2011, Plant Physiology.
[30] J. Selbig,et al. Impact of the Carbon and Nitrogen Supply on Relationships and Connectivity between Metabolism and Biomass in a Broad Panel of Arabidopsis Accessions1[W][OA] , 2013, Plant Physiology.
[31] S. Rhee,et al. Towards revealing the functions of all genes in plants. , 2014, Trends in plant science.
[32] F. Rolland,et al. Sugar signalling and antioxidant network connections in plant cells , 2010, The FEBS journal.
[33] Michael H. Wilson,et al. Mechanical modelling quantifies the functional importance of outer tissue layers during root elongation and bending , 2014, The New phytologist.
[34] S. Long,et al. e-Photosynthesis: a comprehensive dynamic mechanistic model of C3 photosynthesis: from light capture to sucrose synthesis. , 2013, Plant, cell & environment.
[35] B. Palsson,et al. Genome-scale models of microbial cells: evaluating the consequences of constraints , 2004, Nature Reviews Microbiology.
[36] Matthew N. Benedict,et al. ITEP: An integrated toolkit for exploration of microbial pan-genomes , 2014, BMC Genomics.
[37] Staffan Persson,et al. Co-expression tools for plant biology: opportunities for hypothesis generation and caveats. , 2009, Plant, cell & environment.
[38] N. Anten,et al. Physiological mechanisms in plant growth models: do we need a supra-cellular systems biology approach? , 2013, Plant, cell & environment.
[39] Bernard P. Zeigler,et al. Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems , 2000 .
[40] G. Buck-Sorlin,et al. How plant architecture affects light absorption and photosynthesis in tomato: towards an ideotype for plant architecture using a functional-structural plant model. , 2011, Annals of botany.
[41] Praveen Kumar,et al. Simultaneous improvement in productivity, water use, and albedo through crop structural modification , 2014, Global change biology.
[42] Birgit Müller,et al. A standard protocol for describing individual-based and agent-based models , 2006 .
[43] Xin-Guang Zhu,et al. Elements of a dynamic systems model of canopy photosynthesis. , 2012, Current opinion in plant biology.
[44] M. Stitt. Systems-integration of plant metabolism: means, motive and opportunity. , 2013, Current opinion in plant biology.
[45] O. Leyser,et al. Canalization: what the flux? , 2014, Trends in genetics : TIG.
[46] Xin-Guang Zhu,et al. Optimizing the Distribution of Resources between Enzymes of Carbon Metabolism Can Dramatically Increase Photosynthetic Rate: A Numerical Simulation Using an Evolutionary Algorithm1[W][OA] , 2007, Plant Physiology.
[47] G. Howe,et al. Plant immunity to insect herbivores. , 2008, Annual review of plant biology.
[48] Jeffrey W. White,et al. Next generation of elevated [CO2] experiments with crops: a critical investment for feeding the future world. , 2008, Plant, cell & environment.
[49] Jonathan P Lynch,et al. Steep, cheap and deep: an ideotype to optimize water and N acquisition by maize root systems. , 2013, Annals of botany.
[50] Yu Wang,et al. Elements Required for an Efficient NADP-Malic Enzyme Type C4 Photosynthesis1[C][W][OPEN] , 2014, Plant Physiology.
[51] Rainer Matyssek,et al. Challenges in elevated CO2 experiments on forests. , 2010, Trends in plant science.
[52] M. Stitt,et al. Flux profiling of photosynthetic carbon metabolism in intact plants , 2014, Nature Protocols.
[53] Kristen A Bishop,et al. Is there potential to adapt soybean (Glycine max Merr.) to future [CO₂]? An analysis of the yield response of 18 genotypes in free-air CO₂ enrichment. , 2015, Plant, cell & environment.
[54] Xin-Guang Zhu,et al. Would transformation of C3 crop plants with foreign Rubisco increase productivity? A computational analysis extrapolating from kinetic properties to canopy photosynthesis , 2004 .
[55] Andrew J. Millar,et al. FKF1 Conveys Timing Information for CONSTANS Stabilization in Photoperiodic Flowering , 2012, Science.
[56] Multiscale Modeling and Data Integration in the Virtual Physiological Rat Project , 2012, Annals of Biomedical Engineering.
[57] Chris Somerville,et al. Feedstocks for Lignocellulosic Biofuels , 2010, Science.
[58] T. Chiou,et al. The long-distance signaling of mineral macronutrients. , 2009, Current opinion in plant biology.