Caenorhabditis elegans produces a complex mixture of ascaroside pheromones to control its development and behavior. Acyl-CoA oxidases, which participate in β-oxidation cycles that shorten the side chains of the ascarosides, regulate the mixture of pheromones produced. Here, we use CRISPR-Cas9 to make specific nonsense and missense mutations in acox genes and determine the effect of these mutations on ascaroside production in vivo. Ascaroside production in acox-1.1 deletion and nonsense strains, as well as a strain with a missense mutation in a catalytic residue, confirms the central importance of ACOX-1.1 in ascaroside biosynthesis and suggests that ACOX-1.1 functions in part by facilitating the activity of other acyl-CoA oxidases. Ascaroside production in an acox-1.1 strain with a missense mutation in an ATP-binding site at the ACOX-1.1 dimer interface suggests that ATP binding is important for the enzyme to function in ascaroside biosynthesis in vivo. Ascaroside production in strains with deletion, nonsense, and missense mutations in other acox genes demonstrates that ACOX-1.1 works with ACOX-1.3 in processing ascarosides with 7-carbon side chains, ACOX-1.4 in processing ascarosides with 9- and 11-carbon side chains, and ACOX-3 in processing ascarosides with 13- and 15-carbon side chains. It also shows that ACOX-1.2, but not ACOX-1.1, processes ascarosides with 5-carbon ω-side chains. By modeling the ACOX structures, we uncover characteristics of the enzyme active sites that govern substrate preferences. Our work demonstrates the role of specific acyl-CoA oxidases in controlling the length of ascaroside side chains and thus in determining the mixture of pheromones produced by C. elegans.
This work presents a Lyapunov-based control strategy to perform spacecraft rendezvous maneuvers exploiting differential drag forces. The differential drag is a virtually propellantfree alternative to thrusters for generating control forces at low Earth orbits, by varying the aerodynamic drag experienced by different spacecraft, thus generating differential accelerations between the vehicles. The variation in the drag can be induced, for example, by closing or opening flat panels attached to the spacecraft, hence effectively modifying their cross-sectional area. In a first approximation, the relative control forces can be assumed to be of bang-off-bang nature. The proposed approach controls the nonlinear dynamics of spacecraft relative motion using differential drag on-off control, and by introducing a linear model. A control law, designed using Lyapunov principles, forces the spacecraft to track the given guidance. The interest towards this methodology comes from the decisive role that efficient and autonomous spacecraft rendezvous maneuvering will have in future space missions. In order to increase the efficiency and economic viability of such maneuvers, propellant consumption must be optimized. Employing the differential drag based methodology allows for virtually propellant-free control of the relative orbits, since the motion of the panels can be powered by solar energy. The results here presented represent a breakthrough with respect to previous achievements in differential drag based rendezvous. Nomenclature a D = Relative acceleration caused by differential drag a J2 = Relative acceleration caused by J 2 a,b,d = Constants in the transformation matrix A d = Linear guidance state space matrix A , B = Matrices for the state space representation of the Schweighart and Sedwick equations c = Coefficient from the Schweighart and Sedwick equations C o = Initial spacecraft drag coefficient for chaser and target (two plates deployed) C max = Maximum spacecraft drag coefficient for chaser and target (four plates deployed) C min = Minimum spacecraft drag coefficient for chaser and target (zero plates deployed) e = Tracking error vector e 0 = Time-varying eccentricity of the Harmonic Oscillator Motion before Rendezvous f(x) = Nonlinearities in the spacecraft dynamics I nxn = nxn Identity Matrix i T = Target initial spacecraft orbit inclination J 2 = Second-order harmonic of Earth gravitational potential field (Earth flattening) [108263 × 10−8, Ref. [1]] l = Linearized time rate of change of the amplitude of the cross-track separation (Coefficient from the Schweighart and Sedwick equations) m S = Spacecraft mass n = Mean motion (Coefficient from the Schweighart and Sedwick equations) P = Solution matrix of the Lyapunov equation q = Linearized argument of the cross-track separation (Coefficient from the Schweighart and Sedwick equations) Q = Selected Lyapunov equation matrix Q LQR = Matrix from the LQR problem R = Earth mean radius (6378.1363 km, Ref. [1] ) Downloaded by CARLETON UNIVERSITY LIBRARY on July 31, 2015 | htt...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.