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Small, fast…yet still in control ! how insect flight deals with the challenge of miniaturization Sanjay P. Sane National Centre for Biological Sciences Tata Institute of Fundamental Research Bangalore, INDIA [email protected] 1 Insect flight involves parallel and hierarchical active sensorimotor processes Musca Domestica (wing beat frequency = 200-250 Hz) 2 Insect flight involves parallel and hierarchical active sensorimotor processes Musca domestica, 2000 fps How do insects fly? 4 How do insects fly? Musculo-skeletal mechanics Wing-wing and halterewing coordination in flies. Aerodynamics Aerodynamics of flexible wings. Biological effects of induced flow in insects. Sensorimotor Neurobiology Antennal control of flight (moths and bees). Haltere control of flight in soldier flies. Rapid turns, take-off and landing in Musca. Other projects Mechanics of prey capture In Utricularia. Termite Mound Architecture Migration Moth and butterfly migrations in Panama, Peninsular India and Australia Search behavior Drosophila visual-olfactory integration. Moth- Plant Interactions Insects: an evolutionary success story Estimated 6-10 million species (>1 million already described!) >90% of all multicellular animals Flying insects range in size scales spanning 3 orders of magnitude Occupy vast variety of ecological niches First fossils from ~ 400 Mya (early Devonian) 6 Miniaturization of body size and evolution of flight The largest insect ever found: O+ Meganeurid dragonfly (extinct) From the Carboniferous period ~300 Million years ago (wing span ~ 65 cm) Largest extant insect: Queen Alexandra’s Bird wing (wing span ~30 cm) One of smallest insects Megaphragma mymaripenne 4600 Neurons, Anucleate! Smaller than Paramecium (wing span ~ 0.04 cm) 7 Polilov, Nature 2011 Miniature videos 8 Smaller insects must enhance wing beat frequency to generate sufficient aerodynamic forces for flight Flight Force = 0.5 CL,D U2 S U=2n R S=c R , where c ~R Flight Force = 2CL,D 2 n2R3c Flight Force ~ 2 n2R4 but Mass ~R3 = Density of medium U = Linear velocity of wing S = Projected surface area of wing CL, D= Coefficient of Lift or Drag = Angular amplitude n = wing beat frequency c= chord length, R = wing length is constrained, so as R decreases n must increase to compensate 9 Deora, Gundiah and Sane (2017), in press Smaller insects must enhance wing beat frequency to generate sufficient aerodynamic forces for flight Flight Force = 0.5CL,D U2S U=2n R S=cR , where c ~R Flight Force = 2CL,D 2 n2R3c Flight Force ~ 2 n2R4 but Mass ~R3 = Density of medium U = Linear velocity of wing S = Projected surface area of wing CL, D= Coefficient of Lift or Drag = Angular amplitude n = wing beat frequency c= chord length, R = wing length Miniaturization occurred independently in every insect clade Deora, Gundiah and Sane (2017), in press; adapted from Dudley (2000) and Wilson (1972) 10 How do insects cope with smaller body size and greater wing beat frequency? 1. Sensory systems need to sample with high temporal resolution. 2. Motor system needs to be faster and more accurate. 3. Energy losses must be minimized through elastic storage etc. 4. Water losses must be compensated. etc. 11 The evolution of myogenic (or asynchronous) flight muscles Dipteran wings beat at frequencies of the order of 100 Hz or higher, a rate which is not possible by direct neural stimulation. Myogenic muscles can have multiple contraction cycles per neural stimulation. Wing movement Muscle activity 12 Pringle (1949); Roeder (1951) ; Josephson (2000) Delayed stretch activation in indirect flight muscles 13 Indirect flight muscle architecture Indirect Flight Muscles 14 Deora, Gundiah and Sane, J Exp Biol (in press) Myogenic muscle + Indirect Flight Muscle Architecture correlate with diversity Orders with myogenic +IFM architecture 38% 13% 16% 13% Hyperdiverse orders 15 Indirect flight muscles cause resonant contractions of the thorax Direct Steering Muscles 16 Deora, Gundiah and Sane, J Exp Biol (in press) The main questions Flight-control related behaviors need to be fast, often pushing the limits of the neuronal response. These behaviors need to be precise because small errors can lead to large deviations from intended course. How are insects able to achieve speed and precision during flight control? 17 Tanvi Deora Deora, Singh and Sane, PNAS 2015 Halteres oscillate anti-phase to wings 18 Wing beat frequency ~ 100 Hz, filmed at 2000fps Halteres provide crucial mechanosensory input for flight control in Diptera The base of the haltere is covered with fields of campaniform sensilla 19 which transduce strain information to the flight control system Halteres detect gyroscopic forces in Diptera 20 Sherman & Dickinson, J. Exp. Biol. (2003) Chan, Prete & Dickinson, Science (1996) Haltere ablation affects ipsilateral wing Normal Left Haltere ablated Both Halteres ablated Right Haltere ablated 21 Kumarvardhanam Daga Halteres oscillate anti-phase to wings 22 How do wings and halteres maintain a precise phase relationship? Neural Coordination 23 How do wings and halteres maintain a precise phase relationship? Neural Coordination Mechanical Coupling 24 The dead bug experiments 25 Key mechanical coupling elements Dorsal view of the thorax Side view of the thorax 26 (Redrawn from M. Demerec (1994)) Wing hinge alters configuration to change kinematics A video summary of the wing hinge mechanism 27 A mechanical model for haltere-wing coordination 28 Deora, Singh and Sane, PNAS (2015) Wings and halteres are weakly coupled, independently driven oscillators synchronized by linkages of finite stiffness Ensures robustness in face of wing damage 29 Deora, Singh and Sane, PNAS (2015) The neural basis of clutch coordination in flies Gaiti Hasan Sufia Sadaf 30 Sadaf, Reddy, Sane and Hasan, Current Biology (2015) Direct flight muscle architecture Direct Steering Muscles 31 Deora, Gundiah and Sane, J Exp Biol (in press) Tanvi Deora, NCBS Nehal Johri, St Xavier’s College, Mumbai Dr. Namrata Gundiah Mechanical Engineering IISc Abin Ghosh NCBS Akash Vardhan, NCBS Amit Singh, NCBS Shilpa Naik, BITS Pilani 32 33 Disengaged vs Engaged thorax Reconstituting behaviors in the lab: Landing Musca domestica (3000 fps, wing beat frequency= 250 Hz) 35 Sathish Kumar, Rana Kundu, Navish Wadhwa Assaying complex behaviors… 36 Pranav Khandelwal, Sam Wallis, Tanvi Deora Sathish Kumar Gaiti Hasan (NCBS) Namrata Gundiah (IISc) Sufia Sadaf Tanvi Deora Shilpa Naik Abin Ghosh Akash Vardhan How do insects fly? Sensorimotor Neurobiology Musculo-skeletal mechanics A. Krishnan, S. Sudarsan S. Prabhakar Taruni Roy J. Subramanian Rana Kundu Sathish Kumar Umesh Mohan Harshada Sant Payel Chaterjee Maitri Hegde Dinesh Natesan Aerodynamics X. Deng (Purdue) Bo Cheng (UPenn ) Yun Liu Jesse Roll Bixing FUNDS NCBS, SIDA,AOARD, AFOSR, ITC-Pacific Ramanujan, NDRF HFSP Search behavior Nitesh Saxena Aravin Chakravarty Amritansh Vats Parmeshwar Prasad Sreekrishna VarmaRaja (Termite mounds) Amit Singh (Utricularia, Ajinkya Dahake Kemparaju, Deepak (Moth biodiversity) Modular behaviors Navish Wadhwa Tejas Canchi Vardhanam Daga Migration R. Dudley (UC Berkeley) 37 Robert Srygley (USDA) 38 Indirect flight muscle evolution 39 Deora, Gundiah and Sane, J Exp Biol (in press) 40