Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/42039
Title: Images sub-segmentation with the PFCM clustering algorithm
Author: Quintana-Camargo, M.
Mendez-Moran, L.
Ramirez-Romero, R.
Gurrola-Diaz, C.M.
Carapia-Ruiz, V.
Ibarra-Laclette, E.
Delano-Frier, J.P.
Sanchez-Hernandez, C.
Issue Date: 2015
Abstract: Plants respond to phloem-feeding whiteflies by extensive changes in gene expression. To identify differentially expressed genes in husk tomato plants (Physalis philadelphica) infested with Trialeurodes vaporariorum, young plants were challenged with adult whiteflies, and forward and reverse subtractive libraries were constructed from infested leaves at 5 and 15 days after infestation. Several genes were identified as up-regulated; these included a diversity of genes involved in plant defense responses, protein synthesis or degradation, and cell wall fortification or modification. Genes required for amino acid biosynthesis, lipid metabolism and synthesis, including cell surface components such as suberin, responses to stress, photosynthesis and other functions, were similarly induced. Down-regulated genes were also identified, most prominently kinases and aquaporin genes. Similarities in defense responses between tomato and P. philadelphica were noted regarding the expression of certain genes in response to nematode, aphid, or whitefly. A role for abscisic acid, brassinosteroids, and cytokinins in the regulated response to whitefly infestation in P. philadelphica was also implied by the expression pattern of phytohormone-associated genes, including genes coding for proteins containing F-box motifs. Differential expression of selected genes was validated by quantitative real-time PCR. The possible role played by some of these genes during whitefly infestation is discussed. " 2015, Franciszek Górski Institute of Plant Physiology, Polish Academy of Sciences, Kraków.",,,,,,"10.1007/s11738-015-1777-z",,,"http://hdl.handle.net/20.500.12104/42039","http://www.scopus.com/inward/record.url?eid=2-s2.0-84921906472&partnerID=40&md5=65e45a36545cdf6a153d63866fe98580",,,,,,"2",,"Acta Physiologiae Plantarum",,,,"37",,"Scopus
WOS",,,,,,"Greenhouse whitefly; Insect herbivory; Physalis; Plant defense; Suppression subtractive hybridization",,,,,,"Identification of genes differentially expressed in husk tomato (Physalis philadelphica) in response to whitefly (Trialeurodes vaporariorum) infestation",,"Article" "43876","123456789/35008",,"Dedrick, J., University of California, Irvine, CA, United States; Kraemer, K.L., University of California, Irvine, CA, United States, Ctr. for Res. on Info. T., Graduate School of Management, University of California, Irvine, CA 92697, United States; Palacios, J.J., University of Guadalajara, Guadalajara, Mexico",,"Dedrick, J.
Kraemer, K.L.
Palacios, J.J.",,"2001",,"[No abstract available]",,,,,,"10.1080/019722401750175667",,,"http://hdl.handle.net/20.500.12104/42097","http://www.scopus.com/inward/record.url?eid=2-s2.0-0035533292&partnerID=40&md5=bc18c7a0eeb8e1841f1a03d3c2b5cc6c",,,,,,"2",,"Information Society",,"119
132",,"17",,"Scopus
WOS",,,,,,,,,,,,"Impacts of liberalization and economic integration on Mexico's computer sector",,"Article" "43847","123456789/35008",,"Ojeda-Magaña, B., Departamento de Ingeniería de Proyectos-CUCEI, Universidad de Guadalajara, José Guadalupe Zuno No. 48, C.P. 45101 Zapopan, Jalisco, Mexico; Quintanilla-Domínguez, J., Departamento SSR E.T.S.I Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Spain; Ruelas, R., Departamento de Ingeniería de Proyectos-CUCEI, Universidad de Guadalajara, José Guadalupe Zuno No. 48, C.P. 45101 Zapopan, Jalisco, Mexico; Andina, D., Departamento SSR E.T.S.I Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Spain",,"Ojeda-Magana, B.
Quintanilla-Dominguez, J.
Ruelas, R.
Andina, D.",,"2009",,"In this work we propose a method for subsegmentation of images using the PFCM clustering algorithm. The sub-segmentation consists of finding, within the clusters found using the segmentation process, those data less representative, or atypical data, belonging to the clusters. These data represent, in many cases, the zones of interest during image analysis. Two different examples are used in order to show the results, and the advantages of identifying those elements of data forced to belong to a cluster, of which they are the less representative and, therefore may contain information of great interest in particular applications. " 2009 IEEE.
URI: http://hdl.handle.net/20.500.12104/42068
http://www.scopus.com/inward/record.url?eid=2-s2.0-71049156721&partnerID=40&md5=8744f1615b041ad5e0ad34d011ded6dc
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