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Browsing by Author "Li, Ning"

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    A cis-Regulatory Mutation of PDSS2 Causes Silky-Feather in Chickens
    Feng, Chungang; Gao, Yu; Dorshorst, Benjamin J.; Song, Chi; Gu, Xiaorong; Li, Qingyuan; Li, Jinxiu; Liu, Tongxin; Rubin, Carl-Johan; Zhao, Yiqiang; Wang, Yanqiang; Fei, Jing; Li, Huifang; Chen, Kuanwei; Qu, Hao; Shu, Dingming; Ashwell, Christopher M.; Da, Yang; Andersson, Leif; Hu, Xiaoxiang; Li, Ning (PLoS, 2014-08)
    Silky-feather has been selected and fixed in some breeds due to its unique appearance. This phenotype is caused by a single recessive gene (hookless, h). Here we map the silky-feather locus to chromosome 3 by linkage analysis and subsequently fine-map it to an 18.9 kb interval using the identical by descent (IBD) method. Further analysis reveals that a C to G transversion located upstream of the prenyl (decaprenyl) diphosphate synthase, subunit 2 (PDSS2) gene is causing silky-feather. All silky-feather birds are homozygous for the G allele. The silky-feather mutation significantly decreases the expression of PDSS2 during feather development in vivo. Consistent with the regulatory effect, the C to G transversion is shown to remarkably reduce PDSS2 promoter activity in vitro. We report a new example of feather structure variation associated with a spontaneous mutation and provide new insight into the PDSS2 function.
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    Real-Time and Efficient Traffic Information Acquisition via Pavement Vibration IoT Monitoring System
    Ye, Zhoujing; Yan, Guannan; Wei, Ya; Zhou, Bin; Li, Ning; Shen, Shihui; Wang, Linbing (MDPI, 2021-04-10)
    Traditional road-embedded monitoring systems for traffic monitoring have the disadvantages of a short life, high energy consumption and data redundancy, resulting in insufficient durability and high cost. In order to improve the durability and efficiency of the road-embedded monitoring system, a pavement vibration monitoring system is developed based on the Internet of things (IoT). The system includes multi-acceleration sensing nodes, a gateway, and a cloud platform. The key design principles and technologies of each part of the system are proposed, which provides valuable experience for the application of IoT monitoring technology in road infrastructures. Characterized by low power consumption, distributed computing, and high extensibility properties, the pavement vibration IoT monitoring system can realize the monitoring, transmission, and analysis of pavement vibration signal, and acquires the real-time traffic information. This road-embedded system improves the intellectual capacity of road infrastructure and is conducive to the construction of a new generation of smart roads.