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CRISPR-based genetic control strategies for insect pests
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作者 Ying YAN Roswitha A.AUMANN +1 位作者 Irina HÄCKER Marc F.SCHETELIG 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2023年第3期651-668,共18页
Genetic control strategies such as the sterile insect technique have successfully fought insect pests worldwide. The CRISPR(clustered regularly interspaced short palindromic repeats) technology, together with high-qua... Genetic control strategies such as the sterile insect technique have successfully fought insect pests worldwide. The CRISPR(clustered regularly interspaced short palindromic repeats) technology, together with high-quality genomic resources obtained in more and more species, greatly facilitates the development of novel genetic control insect strains that can be used in area-wide and species-specific pest control programs. Here, we review the research progress towards state-of-art CRISPR-based genetic control strategies, including gene drive, sex ratio distortion, CRISPRengineered genetic sexing strains, and precision-guided sterile insect technique. These strategies’ working mechanisms,potential resistance development mechanisms, and regulations are illustrated and discussed. In addition, recent developments such as stacked and conditional systems are introduced. We envision that the advances in genetic technology will continue to be one of the driving forces for developing the next generation of pest control strategies. 展开更多
关键词 insect pest genetic control sterile insect technique gene drive genetic sexing strains CRISPR-Cas9
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Response of rice to inoculation with genetic engineered strains of associative diazotrophs
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作者 SHEN Bingfu,ZHU Hairong,and LI Jie,Shanghai Inst of Plant Physiology,China Acad of Sci,Shanghai 200032,China 《Chinese Rice Research Newsletter》 1996年第3期4-5,共2页
Enhancement of nitrogen fixation in the rhizo-sphere of cereals has attracted a wide interestin biological and agricultural research,insteadof chemicals,for supplying higher plants withcombined nitrogen.Bacteria in as... Enhancement of nitrogen fixation in the rhizo-sphere of cereals has attracted a wide interestin biological and agricultural research,insteadof chemicals,for supplying higher plants withcombined nitrogen.Bacteria in association withrice plant.s were sensitive to the surroundingfactors in the soil,such as NH~+ or O,whichrepressed associative nitrogen fixation between 展开更多
关键词 nifA Response of rice to inoculation with genetic engineered strains of associative diazotrophs NG
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Design of temperature insensitive in vivo strain sensor using multilayer single mode optical fiber
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作者 F. MAKOUEI S. MAKOUEI 《Frontiers of Optoelectronics》 EI CSCD 2016年第4期621-626,共6页
Bone strain measurement is a case of interest and demanding task for osteogenic adaption responses. In this paper, a novel biocompatible optical sensor for the bone axial strain measurement was proposed. In case moder... Bone strain measurement is a case of interest and demanding task for osteogenic adaption responses. In this paper, a novel biocompatible optical sensor for the bone axial strain measurement was proposed. In case modern multilayer single mode WII type optical fibers are well designed, they exhibit superior characteristics compared to conventional metal strain gauges (SGs). Furthermore, they could be strong competitors for SGs based on fiber Bragg grating (FBG) devices. In this study, mode field diameter (MFD) was selected as the indirect parameter for sensing task, which was totally a new approach. The strain sensitivity of 70.7733 pm/με was obtained. Moreover, temperature sensitivity was -3.0031 x 10-6 pm/℃, which was negligible and removed the temperature compensation complexity for the sensor structure presented. The satisfactory property achieved for the designed sensor is as a result of multilayer fiber's complicated structure as well as the design procedure based on evolutionary genetic algorithm (GA). In addition, the sensor demonstrated a reliable performance as its sensitivity was independent of the magnitude of the applied load. 展开更多
关键词 bone strain in vivo optical strain gauge (SG) genetic algorithm (GA)
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