Flowering time is known to be regulated by numerous pathways,such as the autonomous,gibberellin,aging,photoperiod-mediated,and vernalization pathways.These regulatory mechanisms involve both environmental triggers and...Flowering time is known to be regulated by numerous pathways,such as the autonomous,gibberellin,aging,photoperiod-mediated,and vernalization pathways.These regulatory mechanisms involve both environmental triggers and endogenous hormonal cues.Additional flowering control mechanisms mediated by other phytohormones,such as auxin,are less well understood.We found that in cultivated strawberry(Fragaria×ananassa),the expression of auxin response factor4(FaARF4)was higher in the flowering stage than in the vegetative stage.Overexpression of FaARF4 in Arabidopsis thaliana and woodland strawberry(Fragaria vesca)resulted in transgenic plants flowering earlier than control plants.In addition,FveARF4-silenced strawberry plants showed delayed flowering compared to control plants,indicating that FaARF4 and FveARF4 function similarly in regulating flowering.Further studies showed that ARF4 can bind to the promoters of the floral meristem identity genes APETALA1(AP1)and FRUITFULL(FUL),inducing their expression and,consequently,flowering in woodland strawberry.Our studies reveal an auxin-mediated flowering pathway in strawberry involving the induction of ARF4 expression.展开更多
Existing coupled distributed estimation and motion control strategies of mobile sensor networks present limitations in velocity-varying target tracking. Therefore, a velocity-varying target tracking algorithm based on...Existing coupled distributed estimation and motion control strategies of mobile sensor networks present limitations in velocity-varying target tracking. Therefore, a velocity-varying target tracking algorithm based on flocking control is proposed herein. The Kalman-consensus filter is utilized to estimate the position, velocity and acceleration of a target. The flocking control algorithm with a velocity-varying virtual leader enables the position of the center of the mobile sensor network to converge to that of the target. By applying an effective cascading Lyapunov method, stability analysis is performed. Simulation results are provided to validate the feasibility of the proposed algorithm.展开更多
基金the National Key R&D Program of China(2019YFD1000200)the National Natural Science Foundation of China(31872069)+3 种基金the Shenyang Young and Middle-Aged Science and Technology Innovation Talents Support Plan(RC190446)the Liaoning Key R&D Program(2020JH2/10200032)the Liaoning Revitalization Talents Program(XLYC1902069)the Liaoning BaiQianWan Talents Program(2016921067).
文摘Flowering time is known to be regulated by numerous pathways,such as the autonomous,gibberellin,aging,photoperiod-mediated,and vernalization pathways.These regulatory mechanisms involve both environmental triggers and endogenous hormonal cues.Additional flowering control mechanisms mediated by other phytohormones,such as auxin,are less well understood.We found that in cultivated strawberry(Fragaria×ananassa),the expression of auxin response factor4(FaARF4)was higher in the flowering stage than in the vegetative stage.Overexpression of FaARF4 in Arabidopsis thaliana and woodland strawberry(Fragaria vesca)resulted in transgenic plants flowering earlier than control plants.In addition,FveARF4-silenced strawberry plants showed delayed flowering compared to control plants,indicating that FaARF4 and FveARF4 function similarly in regulating flowering.Further studies showed that ARF4 can bind to the promoters of the floral meristem identity genes APETALA1(AP1)and FRUITFULL(FUL),inducing their expression and,consequently,flowering in woodland strawberry.Our studies reveal an auxin-mediated flowering pathway in strawberry involving the induction of ARF4 expression.
基金the National Natural Science Foundation of China(No.61627810)the Joint Fund of Advanced Aerospace Manufacturing Technology Research(No.2017-JCJQ-ZQ-031)the National Science and Technology Major Program of China(No.2018YFB1305003)。
文摘Existing coupled distributed estimation and motion control strategies of mobile sensor networks present limitations in velocity-varying target tracking. Therefore, a velocity-varying target tracking algorithm based on flocking control is proposed herein. The Kalman-consensus filter is utilized to estimate the position, velocity and acceleration of a target. The flocking control algorithm with a velocity-varying virtual leader enables the position of the center of the mobile sensor network to converge to that of the target. By applying an effective cascading Lyapunov method, stability analysis is performed. Simulation results are provided to validate the feasibility of the proposed algorithm.
