Abstract
I propose to study the integration of contemporary scientific knowledge in cognitive neuroscience and plant neurobiology in order to assess the Unity of Science hypothesis. Oppenheim and Putnam (Unity of science as a working hypothesis. In: Feigl H, Maxwell G, Scriven M (eds) Minnesota studies in the philosophy of science. University of Minnesota Press, Minneapolis, pp 3–36, 1958. Reprinted in Boyd R, Gasper P, Trout JD (1991) The Philosophy of Science) considered the sort of mereological support that the Unity of Science hypothesis may receive from the principles of ontogenesis and evolution. I shall argue that a mechanistic understanding of eukaryote communication via the propagation of action potentials shows that the principle of ontogenesis does not support the hypothesis. Although the safest bet in my view is to press on a particular form of indirect evidence that the principle of evolution provides, I shall conclude that at present the Unity of Science remains an open empirical working
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Notes
- 1.
For an introduction to plant neurobiology, see http://www.plantbehavior.org/neuro.html
- 2.
The crucial difference between APs mechanistic components in animals and plants is that the electric profile of APs in the former is implemented, mainly, via potassium and sodium channels, whereas in the latter case, potassium, chloride, and calcium channels are primarily involved. For a classic review of plant APs, see Pickard (1973).
- 3.
Ion channels implement excitability in cellular tissues in animals, fungi, and plants. As a matter of fact, they can be traced back to bacteria in philogenia (Hille 2001).
- 4.
- 5.
APs propagate from stem to root and viceversa via the phloem sieve-tube system.
- 6.
Obviously, were we to consider the modelling and quantification of specific APs in animals and plants, a number of differences would be found. Resting potentials in Chara cells, for example, are more hyperpolarized than their counterpart in animal cells. Also, depolarization is induced by anions, rather than by cations as is the case in the triggering of depolarization in animal APs (see Kikuyama 2001). In addition, APs amplitudes and refractory periods are significantly larger in Chara, taking up to several seconds, whereas they last msecs in animal nerve cells.
- 7.
- 8.
For plant life based on photosynthesis there was no need to evolve locomotion. In this way, whereas animals found a heterotrophic way out of their energy-consumption needs (hunting, etc.), plants found an autotrophic solution (motionless organic synthesis) (Trewavas 2002).
- 9.
Carnovorous D. muscipula and A. vesiculosa, for example, would furnish us with a primitive form of plant memory subject to a mechanistic interpretation in the context of off-line adaptive behaviour. In the case of D. muscipula, an AP is generated whenever an upper trap hair is bent. Crucially, one single stimulation of the hair does not trigger the closing of the trap. For the trap to close it is necessary a second AP that takes place only when another hair is bent within 40 s after the first AP has been generated (see Baluška et al. 2006a, b, for the details). We may then interpret the second AP as a primitive form of plant memory.
- 10.
Functionally similar results obtain in the case of shoots. Other typical examples include making decisions about the number of flowers to produce 1 year in advance of the flowering season, or branching-related decisions made with in some cases years of anticipation. Some plants predict potential future shades out of reflected far-red/red light. Also, some trees synchronize their metabolic activity with non-drought periods after exposition to long epochs of rain drought (see Trewavas 2005, and references therein).
- 11.
Since plants in cabinet 2 had only been illuminated vertically, the re-orientation exhibited could only be due to the sunrising information being stored in advance.
- 12.
Circadian clocks are a wide-spread trick that evolution found in order to keep track of the rythms of nature in the absence of direct stimulation. In evolutionary terms, circadian clocks have emerged as a minimum of four times (see Dodd et al. 2005). It is then clear that organisms endowed with such an estimate of ecological cycles must have some sort of Darwinian advantage.
- 13.
Bickle (2003) has recently presented an illustration of a successful linkage between lower level molecular mechanisms and stable overt behaviour. He contends that an explanation of ‘quantitative behavioral data at the level of biochemical pathways and intracellular molecular mechanisms’ is already on offer. Specifically, he shows how particular behavioural data can be explained at the level of the molecular mechanisms that implement long-term potentiation (LTP). For a discussion of linkages between lower and higher levels in the context of dynamicism, see Calvo Garzón (2008).
References
Alpi, A., et al. 2007. Plant neurobiology: No brain, no gain? Trends in Plant Science 12: 135–136.
Baluška, F., S. Mancuso, D. Volkmann, and P. Barlow. 2004. Root apices as plant command centres: The unique ‘brain-like’ status of the root apex transition zone. Biologia (Bratisl.) 59: 9–17.
Baluška, F., S. Mancuso, and D. Volkmann. 2006a. Communication in plants: Neuronal aspects of plant life. Berlin/Hiedelberg: Springer.
Baluška, F., A. Hlavacka, S. Mancuso, and P. Barlow. 2006b. Neurobiological view of plants and their body plan. In Communication in plants: Neuronal aspects of plant life, ed. F. Baluška et al. Berlin/Heidelberg: Springer.
Bechtel, W., and R.C. Richardson. l993. Discovering complexity: Decomposition and localization as strategies in scientific research. Princeton: Princeton University Press.
Bickle, J. 2003. Philosophy and neuroscience. A ruthlessly reductive approach. Dordrecht: Kluwer.
Bonner, J.T. 1952. Morphogenesis. Princeton: Princeton University Press.
Brenner, E.D., R. Stahlberg, S. Mancuso, J. Vivanco, F. Baluška, and E. van Volkenburgh. 2006. Plant neurobiology: An integrated view of plant signalling. Trends in Plant Science 11: 413–419.
Brenner, E.D., R. Stahlberg, S. Mancuso, F. Baluška, and E. Van Volkenburgh. 2007. Plant neurobiology: The gain is more than the name. Trends in Plant Science 12: 135–136.
Calvo Garzón, P. 2007. The quest for cognition in plant neurobiology. Plant Signaling & Behavior 2: 1–4.
Calvo Garzón, P. 2008. Towards a general theory of antirepresentationalism. The British Journal for the Philosophy of Science 59: 259–292.
Calvo Garzón, P., and F. Keijzer. 2011. Plants: Adaptive behavior, root brains and minimal cognition. Adaptive Behavior 19: 155–171.
Campbell, N.A. 1996. Biology, 4th ed. Menlo Park: Benjamin/Cummings.
Cashmore, A.R. 2003. Cryptochromes: Enabling plants and animals to determine circadian time. Cell 114: 537–543.
Clark, A. 1997. Being there: Putting brain, body and world together again. Cambridge: MIT Press.
Cole, K.S., and H.J. Curtis. 1938. Electric impedance of Nitella during activity. Journal of General Physiology 22: 37–64.
Cole, K.S., and H.J. Curtis. 1939. Electric impedance of the squid giant axon during activity. Journal of General Physiology 22: 649–670.
Craver, C.F. 2009. Levels of mechanisms: A field guide to the hierarchical structure of the world. In Companion to the philosophy of psychology, ed. J. Symons and P. Calvo. New York: Routledge.
Craver, C.F., and W. Bechtel. 2006. Mechanism. In Philosophy of science: An encyclopedia, ed. S. Sarkar and J. Pfeifer, 469–478. New York: Routledge.
Dodd, A., N. Salathia, A. Hall, E. Kévei, R. Tóth, F. Nagy, J. Hibberd, A. Millar, and A. Webb. 2005. Plant circadian clocks increase photosynthesis, growth, survival, and competitive advantage. Science 309: 630–633.
Gazzaniga, M., R. Ivry, and G. Mangun. 2002. Cognitive neuroscience: The biology of the mind. London: Norton.
Hempel, C.G. 1965. Aspects of scientific explanation. New York: Free Press.
Hille, B. 2001. Ion channels of excitable membranes. New York: Sinauer.
Hodgkin, A.L., A.F. Huxley, and B. Katz. 1949. Ionic currents underlying activity in the giant axon of the squid. Archives des Sciences Physiologiques 3: 129–150.
Kikuyama, M. 2001. Role of Ca2+ in membrane excitation and cell motility in characean cells as a model system. International Review of Cytology 201: 85–114.
Koller, D. 1986. The control of leaf orientation by light. Photochemistry and Photobiology 6: 819–826.
Massa, G., and S. Gilroy. 2003. Touch modulates gravity sensing to regulate the growth of primary roots of Arabidopsis thaliana. The Plant Journal 33: 435–445.
Neumann, P.M. 2006. The role of root apices in shoot growth regulation: Support for neurobiology at the whole plant level? In Communication in plants: Neuronal aspects of plant life, ed. F. Baluška et al. Berlin/Heidelberg: Springer.
Oppenheim, Paul, and Hilary, Putnam. 1958. Unity of science as a working hypothesis. In Minnesota studies in the philosophy of science, ed. Herbert Feigl, Grover Maxwell, and Michael Scriven, 3–36. Minneapolis: University of Minnesota Press. Reprinted in Richard Boyd, Philip Gasper, and J.D. Trout The philosophy of science, 1991.
Pickard, B.G. 1973. Action potentials in higher plants. The Botanical Review 39: 172–201.
Pruitt, R., J. Bowman, and U. Grossniklaus. 2003. Plant genetics: A decade of integration. Nature Genetics 33: 294–304.
Schwartz, A., and D. Koller. 1986. Diurnal phototropism in solar tracking leaves of lavatera cretica. Plant Physiology 80: 778–781.
Stahlberg, E. 2006. Historical overview on plant neurobiology. Plant Signaling & Behavior 1(1): 6–8.
Stanton, M.L., and C. Galen. 1993. Blue light controls solar tracking by flowers of an alpine plant. Plant, Cell & Environment 16: 983–989.
Tafforeau, M., M.C. Verdus, V. Norris, C. Ripoll, and M. Thellier. 2006. Memory processes in the response of plants to environmental signals. Plant Signaling & Behavior 1(1): 9–14.
Taiz, L., and E. Zeiger. 2002. Plant physiology, 3rd ed. New York: Sinauer.
Trebacz, K., H. Dziubinska, and E. Krol. 2006. Electrical signals in long-distance communication in plants. In Communication in plants: Neuronal aspects of plant life, ed. F. Baluška et al. Berlin/Heidelberg: Springer.
Trewavas, A. 2002. Mindless mastery. Nature 415: 841.
Trewavas, A. 2003. Aspects of plant intelligence. Annals of Botany 92: 1–20.
Trewavas, A. 2005. Green plants as intelligent organisms. Trends in Plant Science 10(9): 413–419.
Trewavas, A. 2006. The green plant as an intelligent organism. In Communication in plants: Neuronal aspects of plant life, ed. F. Baluška et al. Berlin/Heidelberg: Springer.
Trewavas, A. 2007. Plant neurobiology: All metaphors have value. Trends in Plant Science 12: 231–233.
Acknowledgements
I would like to thank Paul Humphreys, John Symons and Anthony Trewavas for their comments on a previous version of this manuscript. Preparation of this manuscript was supported by DGICYT Projects HUM2006-11603-C02-01 (Spanish Ministry of Science and Education and Feder Funds) and FFI2009-13416-C02-01 (Spanish Ministry of Science and Innovation), and by Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia, through project 11944⁄PHCS⁄ 09.
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Garzón, P.C. (2012). Plant Neurobiology: Lessons for the Unity of Science. In: Pombo, O., Torres, J., Symons, J., Rahman, S. (eds) Special Sciences and the Unity of Science. Logic, Epistemology, and the Unity of Science, vol 24. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2030-5_8
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