Document Detail

Edge detection depends on achromatic channel in Drosophila melanogaster.
MedLine Citation:
PMID:  22735352     Owner:  NLM     Status:  Publisher    
Edges represent important information in object recognition, and thus edge detection is crucial for animal survival. Various types of edges result from visual contrast, such as luminance contrast and color contrast. Thus far, the molecular and neural mechanisms underlying edge detection and the relationship between different edge information-processing pathways have largely been undemonstrated. In the present study, using a color-light-emitting diode (LED)-based Buridan's paradigm, we demonstrated that a blue/green demarcation is able to generate edge-orientation behavior in the adult fly. There is a blue/green intensity ratio, the so-called point of equal-luminance (POE), at which wild-type flies did not show obvious orientation behavior towards edges. This suggests that orientation behavior towards edges is dependent on luminance contrast in Drosophila. The results of mutants ninaE(17) and sev(LY3);rh5(2);rh6(1) demonstrated that achromatic R1-R6 photoreceptor cells, but not chromatic R7/R8 photoreceptor cells, were necessary for orientation behavior towards edges. Moreover, ectopic expression of Rh4, Rh5 or Rh6 could efficiently restore the edge-orientation defect in the ninaE(17) mutant. Altogether, our results show that R1-R6 photoreceptor cells are both necessary and sufficient for orientation behavior towards edges in Drosophila.
Yanqiong Zhou; Xiaoxiao Ji; Haiyun Gong; Zhefeng Gong; Li Liu
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-26
Journal Detail:
Title:  The Journal of experimental biology     Volume:  -     ISSN:  1477-9145     ISO Abbreviation:  -     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-6-27     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0243705     Medline TA:  J Exp Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Institute of Biophysics, Chinese Academy of Sciences.
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