436 Subject Index defense 67, 95–105, 111–118 depolarization 173, 177, 223, 277, 280, 291–305, 322, 325–327, 356 deterministic chaos 261, 270, 271 developmental plasticity 62 developmental selection 53, 61, 62 Dionaea 249, 250, 277, 282–285 ectoapyrase 228, 231, 232, 243 elongation factor 97, 309 electric potentials 291, 305 electrical signalling via the phloem 321–329 electrical signals 43, 47, 67, 70, 277–287, 291–305, 309–318, 333, 334, 339–341, 352, 353, 357, 392, 394, 400 electrical stimulation 325, 352, 361, 385, 392 electrodes 392, 393, 397, 400 electrophysiograms 378, 385 elicitation 213, 216 environmental heterogeneity 56 environmental information 265, 268, 333 environmental insults 31, 309–318 epithelial conduction 392, 394 etiolation 56, 189, 192 evolution 7, 41, 47, 54, 61, 65, 68, 95–100, 104, 187, 267–271, 280, 318, 343, 352, 375, 404, 416, 417, 422, 432, fitness 1–12 flowering 369, 373, 374, 375, 379, 383–385 fungi 22–24, 29–31, 97, 156, 277, 403, 406, 407, 414, 416 gamma–amino butyric acid (GABA) 76, 137, 155–157, 165, 171–181, 189–191, 195, 199 gamma-hydroxybutyrate (GHB) 171–181 gelsolin (PrABP80) 75, 78, 81, 82 gene expression 102, 103, 116, 117, 174, 197, 214, 222, 225, 228, 236, 242, 239–257, 277, 286, 309–318, 344, 375, 392, 409, 410 germination 76, 80, 195, 196, 199, 212, 215, 230, 231, 243, 254, 262, 272, 353, 382, 412 glutamate 21, 137, 154, 155, 157, 160, 162, 178, 179, 187–200, 238–244 glutamate receptors 174, 177, 178, 193, 195, 197, 242, 243 glutamate decarboxylase (GAD) 171, 172 glycine 157, 187, 189–195, 198, 199, 239, 242 herbivory 56, 58, 137, 146, 226 hormonal signals 58, 60 hydathodes 166 hydraulic dispersal 392, 396, 400 hydraulic signals 19, 26, 70, 295, 296, 300, 301–304, 333, 334–339, 342 hydro-electrochemical integration 369, 378 hyperforin 137, 143, 144 hypocotyl 304 indole acetic acid (IAA) 41, 129–132, 341 innate immunity 95 integration of information 60, 61 invasion ecology 405, 407, 411 jasmonic acid (JA) 255, 304, 391 ladybird 430, 432 leaf expansion 354 leaf movement (LM) 263, 370, 327 lipopolysaccharides (LPS) 96 living system theory (LST) 37 luciferin-luciferase 226, 232 mechanical deformation 372 mechanoreceptors 292 mechano-transducing ion channels 372 melatonin 137–142 membrane potential 223, 311 memory 5, 6, 8, 43, 45, 46, 47, 284 microarray technology 253, 315 Mimosa 249, 291, 282, 323, 327, 340, 353 mitogen-activated protein kinase (MAPKinase) 102, 225 motor cells 353 myosin 309, 313, 316, 317, 321 NADH oxidase 385 nematode (Cenorhabditis) 414 neural Darwinism 61 neural network 321 neurotoxins 137, 144, 145, 147
Subject Index 437 neurotransmitter transport 153–170 neurotransmitters 137–148, 155, 166, 181, 236, 242, 321 nitric oxide (NO) 28, 102, 111–118, 123–133, 342 non-selective cation channels (NSCCs) 235–244 nutation 264 oligogalacturidonides (OGA) 226 oligosaccharides 391, 392, 398 organogenesis 374 oscillators 261, 262, 385 oxidative damage 372 oxylipin 209, 211, 212 pathogen attack 84, 102, 112, 114, 190, 214, 226, 227, 427 pathogen-associated molecular pattern (PAMP) 95 pathogens 19, 20, 23, 30, 78, 96, 98–101, 112, 114, 115, 133, 212, 214, 231, 242, 243, 255, 360, 404, 414, 415, 423 pattern formation 61 pattern recognition receptor 98 pH cytoplasmic 370, 373, 380, 408 phloem 165, 311, 328, 352, 359, 393, 394, 397, 400 phosphodiesterase (PDE) 130, 132, 209, 210 phospholipase C (PLC) 281, 311, 317, phospholipase D (PLD) 208, 209 phosphorylation 4, 6, 77, 85, 88, 103, 112, 207, 267, 309, 312–317, 354, 369, 372, 376 photoperiodic control 369, 373, 385, 386 photoreceptors 353, 354, 369, 370 photoreversibility 354 phototropin 354 phototropism 351, 353, 355, 362 phytoalexins 112, 414 phytochrome 354, 375, 377, 386 plant cultivar-specific resistance 96 plant integrity 318 plant mineral nutrition 237 plant-plant communication 421, 423, 424, 427 plant species-specific resistance 96 plasmodesmata 31, 46, 68, 69, 72, 283, 309, 318, 321–323, 326–329, 394, 398 pollen 230, 231 pollen tube 75–88 pollen-pistil 75–88 pollination 285, 327 polysomes 312, 315, 318 positional information 270 positive feedback 58, 60 profilin 75, 78, 81–83, 88 programmed cell death (PCD) 75–77, 83–89 prolin transporter (ProT) 164 protein kinases 5, 77, 156, 253, 254, 309, 354 proteinase inhibitors 328, 391, 394–397 purinceptors 221, 222, 229, 232 quiescent centre 25, 28, 41–44 reactive oxygen species (ROS) 102, 111, 236, 408 receptor potential 322 receptors 5, 9, 10, 95,98–101, 104, 111, 112, 142, 148, 155, 173–181, 188–200, 205–207, 214–216, 221–231, 236, 243, 254, 354 resistance genes 100, 104, 255 resonance 271 respiration 286 rhizoids 68, 69, 280 rhythm circadian 371, 373, 374, 376, 386 rhythm diurnal 372, 378 rhythmic electrical activity 309 root-colonizing fungi 414 root elongation 408, 412 root exudates 372, 403, 407 root hairs 78, 125, 223, 244 root primordia 24, 126, 129, 132 second messenger 5, 76–78, 86, 88, 117, 125, 131, 207, 236, 254, 311 secondary metabolites 403, 405 seedling establishment 412 selection 404 self/non-self 2, 9, 21, 31, 39, 95, 98, 104 self-awareness 21,22 self incompatibility (SI) 75–89 sensory cells 353 shedding of branches 53, 57, 61 sieve-tube elements 352
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František Baluška · Stefano Manc
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Dr. František Baluška University
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VI Preface turn, reward the ants by
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VIII Preface of olfactory response.
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Contents 1 The Green Plant as an In
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Contents XIII 6 Signals and Targets
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Contents XV 11 Amino Acid Transport
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Contents XVII 15 Regulation of Plan
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Contents XIX 21.3 Conclusions and P
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Contents XXI 27.3.2 Catechin Induce
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XXIV Contributors Correa-Aragunde,
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XXVI Contributors Lamattina, L. (e-
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XXVIII Contributors Song, C. Depart
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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1 The Green Plant as an Intelligent
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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2 Neurobiological View of Plants an
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38 P.W. Barlow Thestimulipresentedt
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40 P.W. Barlow that a tropism is su
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42 P.W. Barlow the auxin flow into
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44 P.W. Barlow afferentnervousimpul
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46 P.W. Barlow analysis. In particu
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48 P.W. Barlow reception of his boo
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50 P.W. Barlow Iijima M, Kono Y (19
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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4 How Can Plants Choose the Most Pr
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66 P.M. Neumann Finally, I examined
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68 P.M. Neumann evolutionary progre
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70 P.M. Neumann conclusion is that
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72 P.M. Neumann resources from matu
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6 Signals and Targets Triggered by
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6TargetsofSI 77 6.1.2 Self-Incompat
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6TargetsofSI 79 by Yang 2002) has p
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6TargetsofSI 81 al. 2002). Thus, SI
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6TargetsofSI 83 Fig.6.2. PrABP80 ha
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6TargetsofSI 85 many of the genes e
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6TargetsofSI 87 [Ca 2+ ]i may signa
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6TargetsofSI 89 is crosstalk betwee
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6TargetsofSI 91 Hepler PK, Vidali L
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6TargetsofSI 93 Snowman BN, Kovar D
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96 T. Nürnberger, B. Kemmerling Wh
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98 T. Nürnberger, B. Kemmerling Fo
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100 T. Nürnberger, B. Kemmerling p
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102 T. Nürnberger, B. Kemmerling i
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104 T. Nürnberger, B. Kemmerling r
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106 T. Nürnberger, B. Kemmerling F
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108 T. Nürnberger, B. Kemmerling M
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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8 Nitric Oxide Involvement in Incom
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124 M.L. Lanteri et al. 9.1.1 Auxin
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126 M.L. Lanteri et al. Fig.9.1. Sc
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128 M.L. Lanteri et al. Fig.9.2. NO
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130 M.L. Lanteri et al. 9.3.1 Nitri
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132 M.L. Lanteri et al. Fig.9.3. Sc
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134 M.L. Lanteri et al. Bellamine J
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136 M.L. Lanteri et al. Pagnussat G
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138 S.J. Murch H 3C CH3 CH3 N H 2C
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140 S.J. Murch edible plants (Manch
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142 S.J. Murch However, over the la
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144 S.J. Murch of monoamine, amino
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146 S.J. Murch On Guam and in other
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148 S.J. Murch 10.4 Conclusions and
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150 S.J. Murch Lindstrom H, Luthman
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11 Amino Acid Transport in Plants a
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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11 AA transport in plant versus neu
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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12 GABA and GHB Neurotransmitters i
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188 M. Gilliham et al. Fig.13.1. Ar
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190 M. Gilliham et al. as compatibl
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192 M. Gilliham et al. apex (Zhang
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194 M. Gilliham et al. 13.3.3 Are A
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196 M. Gilliham et al. sufficiently
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198 M. Gilliham et al. 2005). It is
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200 M. Gilliham et al. 13.4.5 NSCC
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202 M. Gilliham et al. Kang J, Meht
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204 M. Gilliham et al. Zheng Y, Mel
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206 E.B. Blancaflor, K.D. Chapman F
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208 E.B. Blancaflor, K.D. Chapman N
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210 E.B. Blancaflor, K.D. Chapman v
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212 E.B. Blancaflor, K.D. Chapman l
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214 E.B. Blancaflor, K.D. Chapman N
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216 E.B. Blancaflor, K.D. Chapman 1
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218 E.B. Blancaflor, K.D. Chapman G
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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15 Regulation of Plant Growth and D
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16 Physiological Roles of Nonselect
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16 Nonselective cation channels 237
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16 Nonselective cation channels 239
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Fig.16.1. Possible roles of nonsele
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16 Nonselective cation channels 243
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16 Nonselective cation channels 245
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16 Nonselective cation channels 247
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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17 Touch-Responsive Behaviors and G
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18 Oscillations in Plants Sergey Sh
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18 Oscillations in Plants 263 Tempo
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18 Oscillations in Plants 265 Dries
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18 Oscillations in Plants 267 backg
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18 Oscillations in Plants 269 The f
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18 Oscillations in Plants 271 prehe
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18 Oscillations in Plants 273 Cardo
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18 Oscillations in Plants 275 Shaba
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278 K.Trebacz,H.Dziubinska,E.Krol W
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280 K.Trebacz,H.Dziubinska,E.Krol T
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282 K.Trebacz,H.Dziubinska,E.Krol E
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284 K.Trebacz,H.Dziubinska,E.Krol 1
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286 K.Trebacz,H.Dziubinska,E.Krol n
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288 K.Trebacz,H.Dziubinska,E.Krol D
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290 K.Trebacz,H.Dziubinska,E.Krol S
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292 R. Stahlberg, R.E. Cleland, E.
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294 R. Stahlberg, R.E. Cleland, E.
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296 R. Stahlberg, R.E. Cleland, E.
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298 R. Stahlberg, R.E. Cleland, E.
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300 R. Stahlberg, R.E. Cleland, E.
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302 R. Stahlberg, R.E. Cleland, E.
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304 R. Stahlberg, R.E. Cleland, E.
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306 R. Stahlberg, R.E. Cleland, E.
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308 R. Stahlberg, R.E. Cleland, E.
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310 E.Davies,B.Stankovic It is assu
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312 E.Davies,B.Stankovic 21.2 Evide
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314 E.Davies,B.Stankovic Fig.21.3.
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316 E.Davies,B.Stankovic Relative m
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318 E.Davies,B.Stankovic 1992; Beel
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320 E.Davies,B.Stankovic Hentze MW,
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322 J. Fromm, S. Lautner in the ran
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324 J. Fromm, S. Lautner cells (Sam
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326 J. Fromm, S. Lautner 22.5 Ion C
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328 J. Fromm, S. Lautner hastobedon
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330 J. Fromm, S. Lautner Beilby MJ,
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332 J. Fromm, S. Lautner Williams S
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334 S. Mancuso, S. Mugnai like the
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336 S. Mancuso, S. Mugnai 2,000 nM
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338 S. Mancuso, S. Mugnai the fourt
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340 S. Mancuso, S. Mugnai “slow-w
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342 S. Mancuso, S. Mugnai 23.6 Airb
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344 S. Mancuso, S. Mugnai that tree
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346 S. Mancuso, S. Mugnai Fort C, F
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348 S. Mancuso, S. Mugnai Pophof B,
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24 Electrophysiology and Phototropi
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24 Electrophysiology and Phototropi
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24 Electrophysiology and Phototropi
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24 Electrophysiology and Phototropi
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372 E. Wagner et al. Exudation [µl
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374 E. Wagner et al. metabolism at
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376 E. Wagner et al. The circadian
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378 E. Wagner et al. Fig.25.5. Time
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380 E. Wagner et al. Fig.25.7. Patt
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382 E. Wagner et al. Fig.25.9. Time
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384 E. Wagner et al. Fig.25.11. a K
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