Pattern detection of movement behaviors in genotype variation of Drosophila melanogaster by using self-organizing map

Ecological Informatics

Volumn 1, Issue 3 SPEC. ISS., 2006, Pages 219-228

  Choi, Kyung Hee ^a   Kim, Jung Su ^a   Kim, Young Shin ^a   Yoo, Mi Ae ^a   Chon, Tae Soo ^a  

^a Pusan National University   (South Korea)

Author keywords

Artificial neural network; Drosophila; Genotype; Movement behavior; Pattern detection; Self organizing map

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FLY; GENETIC VARIATION; GENOTYPE; MAPPING; MOVEMENT; PATTERN RECOGNITION;

DROSOPHILA MELANOGASTER;

EID: 33750188854     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2005.12.002     Document Type: Article

References (61)

1. Akira S. Functional roles of STAT family proteins: lessons from knockout mice. Stem Cells 17 (1999) 138-146
2. Alados C.L., Escos J.M., and Emlen J.M. Fractal structure of sequential behaviour patterns: an indicator of stress. Anim. Behav. 51 (1996) 437-443
3. Alt W. Correlation analysis of two-dimensional locomotion paths. In: Alt W., and Hoffmann G. (Eds). Biological Motion (1990), Springer -Verlag, Berlin 254-268
4. In: Alt W., and Hoffman G. (Eds). Biological Motion (1990), Springer -Verlag, Berlin 604
5. Belgacem Y.H., and Martin J.-R. Disruption of insulin pathways alters trehalose level and abolishes sexual dimorphism in locomotor activity in Drosophila. J. Neurobiol. 66 (2006) 19-32
6. Binari R., and Perrimon N. Stripe-specific regulation of pair-rule genes by hopscotch, aputative Jak family tyrosine kinase in Drosophila. Genes Dev. 8 (1994) 300-312
7. Carballo M., Conde M., El Bekay R., Martin -Nieto J., Camacho M.J., Monteseirin J., Conde J., Bedoya F.J., and Sobrino F. Oxidative stress triggers STAT3 tyrosine phosphorylation and nuclear translocation in human lymphocytes. J. Biol. Chem. 274 (1999) 17580-17586
8. Carvalheira J.B., Ribeiro E.B., Folli F., Velloso L.A., and Saad M.J. Interaction between leptin and insulin signaling pathways differentially affects JAK-STAT and PI 3-kinase-mediated signaling in rat liver. Biol. Chem. Jpn. 384 (2003) 151-159
9. Catlett -Falcone R., Dalton W.S., and Jove R. STAT proteins as novel targets for cancer therapy. Signal transducer an activator of transcription. Curr. Opin. Oncol. 11 (1999) 490-496
10. Chon T.-S., Park Y.S., Moon K.H., and Cha E.Y. Patterning communities by using an artificial neural network. Ecol. Model. 90 (1996) 69-78
11. Chon T.-S., Park Y.-S., Kim J.M., Lee B.Y., Chung Y.J., and Kim Y.S. Use of an artificial neural network to predict population dynamics of the forest-pest pine needle Gall Midge (Diptera: Cecidomyiida). Popul. Econ. 29 (2000) 1208-1215
12. 2+ signal inducing chemicals. Appl. Entomol. Zool. 39 1 (2004) 79-96
13. Collins R.D., Gargesh R.N., Maltby A.D., Roggero R.J., Tourtellot M.K., and Bell W.J. Innate control of local search behaviour in the house fly, Musca domestica. Physiol. Entomol. 19 (1994) 165-172
14. De Belle J.S., and Sokolowski M.B. Heredity of rover/sitter: alternative foraging strategies of Drosophila melanogaster larvae. Heredity 59 (1987) 73-83
15. Dubnau J., and Tully T. Gene discovery in Drosophila: new insights for learning and memory. Annu. Rev. Neurosci. 21 (1998) 407-444
16. Flier J.S. Clinical review 94: what's in a name? In search of leptin's physiologic role. J. Clin. Endocrinol. Metab. 83 (1998) 1407-1413
17. Ganguly I., Mackay T.F., and Anholt R.R. Scribble is essential for olfactory behavior in Drosophila melanogaster. Genetic 164 (2003) 1447-1457
18. Greenspan R.J., and Feveur J.-F. Courtship in Drosophila. Annu. Rev. Genet. 34 (2000) 205-232
19. Halaas J.L., Gajiwala K.S., Maffei M., Cohen S.L., Chait B.T., Rabinowitz D., Lallone R.L., Burley S.K., and Friedman J.M. Weight-reducing effects of the plasma protein encoded by the obese gene. Science 269 (1995) 543-546
20. Hou X.S., Melnick M.B., and Perrimon N. Marelle acts downstream of the Drosophila HOP/JAK kinase and encodes a protein similar to the mammalian STATs. Cell 84 (1996) 411-419
21. Imada K., and Leonard W.J. The Jak-STAT pathway. Mol. Immunol. 37 (2000) 1-11
22. Johnson A.R., Milne B.T., and Wiens J.A. Diffusion in fractal landscapes: simulations and experimental studies of tenebrionid beetle movements. Ecology 73 (1992) 1968-1983
23. Kaneuchi T., Togawa T., Takashi M., Yoshiaki F., Toshiro, Waddell S., and Quinn W.G. Flies, genes, and learning. Annu. Rev. Neurosci. 24 (2001) 1283-1309
24. 2 resistance in Drosophila using an activity monitor. Biogerontology 4 (2003) 157-165
25. Kohonen T. Self-organizing Maps (2001), Springer, Berlin 501 pp.
26. Kohonen T., Makisara K., and Saramaki T. Phonotic maps-insightful representation of phonological features for speech recognition. Proce. of the Seventh Inter. Conference on Pattern Recognition (1984) 182 -185 pp.
27. Kohonen T., Torkkola K., Shozokai M., Kangas J., and Venta O. Microprocessor implementation of a large vocabulary speech recognizer and phonetic typewriter for Finish and Japanese. Proce. of the Euro. Conference of Speech Tech (1987) 377 -380 pp.
28. Kretzschmar D., Tschape J., Cruz A.B.D., Asan E., Poeck B., Struss R., and Pflugfelder G.O. Glial and neuronal expression of polyglutamic proteins induce behavioral changes and aggregate formation in Drosophila. GLIA 49 (2004) 59-72
29. Kwak I.S., Chon T.-S., Kang H.M., Chung N.I., Kim J.S., Koh S.C., Lee S.K., and Kim Y.S. Pattern recognition of movement tracks of medaka (Oryzias latipes) in response to sub-lethal treatments of an insecticide by using artificial neural networks. Environ. Pollut. 120 (2002) 671-681
30. Lohninger H., and Stanel F. Comparing the performance of neural networks to well-established methods of multivariate data analysis: the classification of mass spectral data. Fresenius' J. Anal. Chem. 344 (1992) 186-189
31. Luo H., Rose P., Barber D., Hanratty W.P., Lee S., Roberts T.M., D'Andrea A.D., and Dearolf C.R. Mutation in the Jak kinase JH2 domain hyperactivates Drosophila and mammalian Jak-Stat pathway. Mol. Cell. Biol. 17 (1997) 1562-1571
32. Manallack D.T., and Livingstone D.J. Neural networks in drug discovery: have they lived up to their promise?. Eur. J. Med. Chem. 34 (1999) 195-208
33. Martindale J.L., and Holbrook N.J. Cellular response to oxidative stress: signaling for suicide and survival. J. Cell. Physiol. 192 (2002) 1-15
34. Meehan M.J., and Wilson R. Locomotor activity in the Tyr-1 mutant of Drosophila melanogaster. Behav. Genet. 17 (1987) 503-512
35. Neumann E.K., Wheeler D.A., Burnside A.S., Bernstein A.S., and Hall J.C. A technique for the classification and analysis of insect courtship song. Proce. of the Inter. Joint Conference on Neural Networks, IJCNN -90 -WASH -DC, II -257 -II262 (1990)
36. Nikkila J., Toronen P., Kaski S., Venna J., Castren E., and Wong G. Analysis and visualization of gene expression data using Self-Organizing Maps. Neural Netw. 15 (2002) 953-966
37. Orlando G.A., Mann R., and Haykin S. Radar classification of sea -ice using traditional and neural classifiers. Proc. of the Inter. Joint Conference on Neural Networks, IJCNN - 90 -WASH -DC, II -263 -II -266 (1990)
38. Park S.K., Sedore S.A., Cronmiller C., and Hirsh J. Type II cAMP-dependent protein kinase-deficient Drosophila are viable but show developmental, circadian, and drug response phenotypes. J. Biol. Chem. 275 (2000) 20588-20596
39. Park Y.S., Céréghino R., Compin A., and Lek S. Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters. Ecol. Model. 160 (2003) 265-280
40. Park Y.-S., Chung N.-I., Choi K.-H., Cha E.Y., Lee S.-K., and Chon T.-S. Computational characterization of behavioral response of medaka (Oryzias latipes) treated with diazinon. Aquat. Toxicol. 71 (2005) 215-228
41. Pflugfelder G.O. Genetic lesions in Drosophila behavioural mutants. Behav. Brain Res. 95 (1998) 3-15
42. Rosenblum C.I., Tota M., Cully D., Smith T., Collum R., Qureshi S., Hess J.F., Phillips M.S., Hey P.J., Vongs A., Fong T.M., Xu L., Chen H.Y., Smith R.G., Schindler C., and Van der Ploeg L.H. Functional STAT 1 and 3 signaling by the leptin receptor (OB-R); reduced expression of the rat fatty leptin receptor in transfected cells. Endocrinology 137 (1996) 5178-5181
43. Samarabandu J.K., and Jakubowicz O.E. Principles of sequential feature maps in multilevel problems. Proc. of the Inter.Joint Conference on Neural Networks, IJCNN -90 - WASH -DC, II -683 -II -686 (1990)
44. Schal C., Tobin T.R., Surber J.L., Vogel G., Tourtellot M.K., Leban R.A., Sizemore R., and Bell W.J. Search strategy of sex pheromone-stimulated male German cockroaches. J. Insect Physiol. 29 (1983) 575-579
45. Scharstein H. Paths of carabid beetles walking in the absence of orienting stimuli and the time structure of their motor output. In: Alt W., and Hoffmann G. (Eds). Biological Motion (1990), Springer -Verlag, Berlin 269 -277 pp.
46. Simon A.R., Rai U., Fanburg B.L., and Cochran B.H. Activation of the JAK-STAT pathway by reactive oxygen species. Am. J. Physiol. 275 (1998) 1640-1652
47. Storz P., Doppler H., Pfizenmaier K., and Muller G. Insulin selectively activates STAT5b, but not STAT5a, via a JAK2-independent signalling pathway in Kym-1 rhabdomyosarcoma cells. Fed. Eur. Biochem. Soc. Lett. (FEBS Lett.) 464 (1999) 159-163
48. Strauss R., and Heisenberg M. A higher control center of locomotor behavior in the Drosophila brain. J. Neurosci. 13 (1993) 1852-1861
49. The MathWorks, Inc. (1998) MATLAB. Version 5.3, Natik, Massachusetts.
50. Toronen P., Kolehmarinen M., Wong G., and Castren E. Analysis of gene expression data using self-organizing maps. Fed. Eur. Biochem. Soc. Lett. (FEBS Lett.) 451 (1999) 142-146
51. Tourtellot M.K., Collins R.D., and Bell W. The problem of move length and turn definition in analysis of orientation data. J. Theor. Biol. 150 (1991) 287-297
52. Ultsch A. Self-organizing neural networks for visualization and classification. In: Opitz O., Lausen B., and Klar R. (Eds). In Information and Classification (1993), Springer -Verlag, Berlin 307-313 pp.
53. Waddell S., and Quinn W.G. Flies, genes, and learning. Annu. Rev. Neurosci 24 (2001) 1283-1309
54. Wang H.C., Badger J., Kearney P., and Li M. Analysis of codon usage patterns of bacterial genomes using the self-organizing map. Mol. Biol. Evol. 18 (2001) 792-800
55. Wiens J.A., Crist T.O., and Milne B.T. On quantifying insect movements. Environ. Entomol. 22 (1993) 709-715
56. Wiens J.A., Crist T.O., With K.A., and Milne B.T. Fractal patterns of insect movement in microlandscape mosaics. Ecology 76 (1995) 663-666
57. Williarns J., and Seghal A. Molecular components of the circadian system in Drosophila. Rev. Physiol. 63 (2001) 729-755
58. Yamamoto D., and Nakano Y. Sexual behaviour mutants revisited: molecular and cellular basis of Drosophila mating. Cell. Mol. Life Sci. 56 (1999) 634-646
59. Yan R., Small S., Desplan C., Dearolf C.R., and Darnell Jr. J.E. Identification of a Stat gene that functions in Drosophila development. Cell 84 (1996) 421-430
60. Yang, D.J., Kim, Y.S., Park, J.H., Kang, H.S., Baek, H.S., Chung, H.Y., Yoo, M.A., in press. STAT is Involved in Defense Response to Oxidative Stress. Korea Journal of gerontology.
61. Zurada J.M. Introduction to Artificial Neural System (1992), West Publishing Compony, New York 683 pp.