The utilization of industrial biomanufacturing has emerged as a viable and sustainable alternative to fossil-based resources for producing functional chemicals.Moreover,advancements in synthetic biology have created n...The utilization of industrial biomanufacturing has emerged as a viable and sustainable alternative to fossil-based resources for producing functional chemicals.Moreover,advancements in synthetic biology have created new opportunities for the development of innovative cell factories.Notably,Yarrowia lipolytica,an oleaginous yeast that is generally regarded as safe,possesses several advantageous characteristics,including the ability to utilize inexpensive renewable carbon sources,well-established genetic backgrounds,and mature genetic manipulation methods.Consequently,there is increasing interest in manipulating the metabolism of this yeast to enhance its potential as a biomanufacturing platform.Here,we reviewed the latest developments in genetic expression strategies and manipulation tools related to Y.lipolytica,particularly focusing on gene expression,chromosomal operation,CRISPR-based tool,and dynamic biosensors.The purpose of this review is to serve as a valuable reference for those interested in the development of a Y.lipolytica microbial factory.展开更多
In the paper,a set of algorithms to construct synthetic aperture radar（SAR）matching suitable features are frstly proposed based on the evolutionary synthesis strategy.During the process,on the one hand,the indexes o...In the paper,a set of algorithms to construct synthetic aperture radar（SAR）matching suitable features are frstly proposed based on the evolutionary synthesis strategy.During the process,on the one hand,the indexes of primary matching suitable features（PMSFs）are designed based on the characteristics of image texture,SAR imaging and SAR matching algorithm,which is a process involving expertise;on the other hand,by designing a synthesized operation expression tree based on PMSFs,a much more flexible expression form of synthesized features is built,which greatly expands the construction space.Then,the genetic algorithm-based optimized searching process is employed to search the synthesized matching suitable feature（SMSF）with the highest effciency,largely improving the optimized searching effciency.In addition,the experimental results of the airborne synthetic aperture radar ortho-images of C-band and P-band show that the SMSFs gained via the algorithms can reflect the matching suitability of SAR images accurately and the matching probabilities of selected matching suitable areas of ortho-images could reach 99±0.5%.展开更多
基金supported by the National Natural Science Foundation of China 22108126 to Y.G.The China Postdoctoral Science Foundation 2022M721362 to Y.Gthe Natural Science Foundation of Jiangsu Province BK20210572 and BK20202002 and to Y.G.and H.H.,respectively.
文摘The utilization of industrial biomanufacturing has emerged as a viable and sustainable alternative to fossil-based resources for producing functional chemicals.Moreover,advancements in synthetic biology have created new opportunities for the development of innovative cell factories.Notably,Yarrowia lipolytica,an oleaginous yeast that is generally regarded as safe,possesses several advantageous characteristics,including the ability to utilize inexpensive renewable carbon sources,well-established genetic backgrounds,and mature genetic manipulation methods.Consequently,there is increasing interest in manipulating the metabolism of this yeast to enhance its potential as a biomanufacturing platform.Here,we reviewed the latest developments in genetic expression strategies and manipulation tools related to Y.lipolytica,particularly focusing on gene expression,chromosomal operation,CRISPR-based tool,and dynamic biosensors.The purpose of this review is to serve as a valuable reference for those interested in the development of a Y.lipolytica microbial factory.
基金supported by National Natural Science Foundation of China (Grant No.41204026)Advanced Research Foundation (Grant No.9140A24060712KG13290)Open Fund of Key Laboratory of Science and Technology on Aerospace Flight Dynamics (Grant No.2012AFDL010)
文摘In the paper,a set of algorithms to construct synthetic aperture radar（SAR）matching suitable features are frstly proposed based on the evolutionary synthesis strategy.During the process,on the one hand,the indexes of primary matching suitable features（PMSFs）are designed based on the characteristics of image texture,SAR imaging and SAR matching algorithm,which is a process involving expertise;on the other hand,by designing a synthesized operation expression tree based on PMSFs,a much more flexible expression form of synthesized features is built,which greatly expands the construction space.Then,the genetic algorithm-based optimized searching process is employed to search the synthesized matching suitable feature（SMSF）with the highest effciency,largely improving the optimized searching effciency.In addition,the experimental results of the airborne synthetic aperture radar ortho-images of C-band and P-band show that the SMSFs gained via the algorithms can reflect the matching suitability of SAR images accurately and the matching probabilities of selected matching suitable areas of ortho-images could reach 99±0.5%.
