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SUMMARY:Perturbation Analysis of LEAFY in the Floral Transition Network of
  Arabidopsis thaliana - Gitanjali Yadav\, National Institute of Plant Geno
 me Research (NIPGR) New Delhi India
DTSTART:20160505T120000Z
DTEND:20160505T130000Z
UID:TALK65483@talks.cam.ac.uk
CONTACT:38889
DESCRIPTION:Recent years have led to considerable progress in our understa
 nding of complex real world systems and their behaviour in response to ext
 ernal threats or fluctuations. Much of this work relates to ‘Network Rob
 ustness’\, and has been demonstrated on small and large-scale systems tr
 anscending biology\, sociology\, as well as ecology. We have applied this 
 concept to assess the robustness of cellular systems against internal pert
 urbations\, taking the example of molecular events during inflorescence de
 velopment. \n\nFloral transition\, one of the most critical events in the 
 life of a plant\, represents the progression from vegetative to reproducti
 ve growth. It is known to be determined not by a single gene but by a high
 ly complex network of genes\, in which LEAFY (LFY)\, a transcription facto
 r with protein binding function that expresses widely in both vegetative a
 nd reproductive tissues\, plays an important role as a switch that trigger
 s flower formation by interacting and coordinating between several other g
 enes. We have investigated floral transition at a genome-wide network leve
 l in Arabidopsis thaliana by superimposing co-expression profiles and gene
  ontologies of known floral genes with the available floral interactome. \
 n\nMy talk will cover two aspects\; First\, the reduction of Omics data di
 mensionality towards construction of the floral gene regulatory network\; 
 and Second\, how random/targeted perturbations to the floral network can p
 rovide insights into the mechanism by which LFY\, positively or negatively
  regulates the activities of other genes in the general physiology of flow
 ering. Since LFY stands at the very centre of the network of flower develo
 pment\, even minute modifications in its expression/interactions may contr
 ibute to the appearance of floral structures in evolution. A dynamic analy
 sis of network topology led to the identification of key regulatory module
 s of genes during flowering\, apart from characterization of relationships
  among genes in different floral modules. In summary\, this work massively
  expands the known floral network of Arabidopsis thaliana besides offering
  new perceptions on the origin of flowers.\n
LOCATION:Department of Plant Sciences\, Large Lecture Theatre
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