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Article: Integument pattern formation involves genetic and epigenetic controls: Feather arrays simulated by digital hormone models

TitleIntegument pattern formation involves genetic and epigenetic controls: Feather arrays simulated by digital hormone models
Authors
Issue Date2004
Citation
International Journal Of Developmental Biology, 2004, v. 48 n. 2-3, p. 117-135 How to Cite?
AbstractPattern formation is a fundamental morphogenetic process. Models based on genetic and epigenetic control have been proposed but remain controversial. Here we use feather morphogenesis for further evaluation. Adhesion molecules and/or signaling molecules were first expressed homogenously in feather tracts (restrictive mode, appear earlier) or directly in bud of inter-bud regions (de novo mode, appear later). They either activate or inhibit bud formation, but paradoxically colocalize in the bud. Using feather bud reconstitution, we showed that completely dissociated cells can reform periodic patterns without reference to previous positional codes. The patterning process has the characteristics of being self-organizing, dynamic and plastic. The final pattern is an equilibrium state reached by competition, and the number and size of buds can be altered based on cell number and activator/inhibitor ratio, respectively. We developed a Digital Hormone Model which consists of (1) competent cells without identity that move randomly in a space, (2) extracellular signaling hormones which diffuse by a reaction-diffusion mechanism and activate or inhibit cell adhesion, and (3) cells which respond with topological stochastic actions manifested as changes in cell adhesion. Based on probability, the results are cell clusters arranged in dots or stripes. Thus genetic control provides combinational molecular information which defines the properties of the cells but not the final pattern. Epigenetic control governs interactions among cells and their environment based on physical-chemical rules (such as those described in the Digital Hormone Model). Complex integument patterning is the sum of these two components of control and that is why integument patterns are usually similar but non-identical. These principles may be shared by other pattern formation processes such as barb ridge formation, fingerprints, pigmentation patterning, etc. The Digital Hormone Model can also be applied to swarming robot navigation, reaching intelligent automata and representing a self-re-configurable type of control rather than a follow-the-instruction type of control.
Persistent Identifierhttp://hdl.handle.net/10722/169543
ISSN
2015 Impact Factor: 1.753
2015 SCImago Journal Rankings: 1.087
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorJiang, TXen_US
dc.contributor.authorWidelitz, RBen_US
dc.contributor.authorShen, WMen_US
dc.contributor.authorWill, Pen_US
dc.contributor.authorWu, DYen_US
dc.contributor.authorLin, CMen_US
dc.contributor.authorJung, HSen_US
dc.contributor.authorChuong, CMen_US
dc.date.accessioned2012-10-25T04:52:43Z-
dc.date.available2012-10-25T04:52:43Z-
dc.date.issued2004en_US
dc.identifier.citationInternational Journal Of Developmental Biology, 2004, v. 48 n. 2-3, p. 117-135en_US
dc.identifier.issn0214-6282en_US
dc.identifier.urihttp://hdl.handle.net/10722/169543-
dc.description.abstractPattern formation is a fundamental morphogenetic process. Models based on genetic and epigenetic control have been proposed but remain controversial. Here we use feather morphogenesis for further evaluation. Adhesion molecules and/or signaling molecules were first expressed homogenously in feather tracts (restrictive mode, appear earlier) or directly in bud of inter-bud regions (de novo mode, appear later). They either activate or inhibit bud formation, but paradoxically colocalize in the bud. Using feather bud reconstitution, we showed that completely dissociated cells can reform periodic patterns without reference to previous positional codes. The patterning process has the characteristics of being self-organizing, dynamic and plastic. The final pattern is an equilibrium state reached by competition, and the number and size of buds can be altered based on cell number and activator/inhibitor ratio, respectively. We developed a Digital Hormone Model which consists of (1) competent cells without identity that move randomly in a space, (2) extracellular signaling hormones which diffuse by a reaction-diffusion mechanism and activate or inhibit cell adhesion, and (3) cells which respond with topological stochastic actions manifested as changes in cell adhesion. Based on probability, the results are cell clusters arranged in dots or stripes. Thus genetic control provides combinational molecular information which defines the properties of the cells but not the final pattern. Epigenetic control governs interactions among cells and their environment based on physical-chemical rules (such as those described in the Digital Hormone Model). Complex integument patterning is the sum of these two components of control and that is why integument patterns are usually similar but non-identical. These principles may be shared by other pattern formation processes such as barb ridge formation, fingerprints, pigmentation patterning, etc. The Digital Hormone Model can also be applied to swarming robot navigation, reaching intelligent automata and representing a self-re-configurable type of control rather than a follow-the-instruction type of control.en_US
dc.languageengen_US
dc.relation.ispartofInternational Journal of Developmental Biologyen_US
dc.subject.meshAnimalsen_US
dc.subject.meshBody Patterningen_US
dc.subject.meshComputer Simulationen_US
dc.subject.meshDermatoglyphicsen_US
dc.subject.meshEpigenesis, Geneticen_US
dc.subject.meshFeathers - Embryologyen_US
dc.subject.meshHair - Embryologyen_US
dc.subject.meshHumansen_US
dc.subject.meshIntegumentary System - Embryologyen_US
dc.subject.meshModels, Biologicalen_US
dc.subject.meshPigmentationen_US
dc.subject.meshTissue Engineeringen_US
dc.titleIntegument pattern formation involves genetic and epigenetic controls: Feather arrays simulated by digital hormone modelsen_US
dc.typeArticleen_US
dc.identifier.emailJung, HS: hsjung@yuhs.acen_US
dc.identifier.authorityJung, HS=rp01683en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1387/ijdb.15272377en_US
dc.identifier.pmid15272377-
dc.identifier.scopuseid_2-s2.0-3042616450en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-3042616450&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume48en_US
dc.identifier.issue2-3en_US
dc.identifier.spage117en_US
dc.identifier.epage135en_US
dc.identifier.isiWOS:000222225000007-
dc.identifier.scopusauthoridJiang, TX=7402148591en_US
dc.identifier.scopusauthoridWidelitz, RB=6701556360en_US
dc.identifier.scopusauthoridShen, WM=7403601947en_US
dc.identifier.scopusauthoridWill, P=7005788131en_US
dc.identifier.scopusauthoridWu, DY=22959123300en_US
dc.identifier.scopusauthoridLin, CM=8736063400en_US
dc.identifier.scopusauthoridJung, HS=7403030195en_US
dc.identifier.scopusauthoridChuong, CM=7103159962en_US

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