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ABNORMAL SHOOT 6 interacts with KATANIN 1 and SHADE AVOIDANCE 4 to promote cortical microtubule severing and ordering in Arabidopsis 被引量:3
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作者 Yuanfeng Li Meng Deng +10 位作者 haofeng liu Yan Li Yu Chen Min Jia Hui Xue Jingxia Shao Jun Zhao Yafei Qi Lijun An Fei Yu Xiayan liu 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2021年第4期646-661,共16页
Plant interphase cortical microtubules(cMTs)mediate anisotropic cell expansion in response to environmental and developmental cues.In Arabidopsis thaliana,KATANIN 1(KTN1),the p60 catalytic subunit of the conserved MT-... Plant interphase cortical microtubules(cMTs)mediate anisotropic cell expansion in response to environmental and developmental cues.In Arabidopsis thaliana,KATANIN 1(KTN1),the p60 catalytic subunit of the conserved MT-severing enzyme katanin,is essential for cMT ordering and anisotropic cell expansion.However,the regulation of KTN1-mediated cMT severing and ordering remains unclear.In this work,we report that the Arabidopsis IQ67 DOMAIN(IQD)family gene ABNORMAL SHOOT 6(ABS6)encodes a MT-associated protein.Overexpression of ABS6 leads to elongated cotyledons,directional pavement cell expansion,and highly ordered transverse cMT arrays.Genetic suppressor analysis revealed that ABS6-mediated cMT ordering is dependent on KTN1 and SHADE AVOIDANCE 4(SAV4).Live imaging of cMT dynamics showed that both ABS6 and SAV4 function as positive regulators of cMT severing.Furthermore,ABS6 directly interacts with KTN1 and SAV4 and promotes their recruitment to the cMTs.Finally,analysis of loss-of-function mutant combinations showed that ABS6,SAV4,and KTN1 work together to ensure the robust ethylene response in the apical hook of dark-grown seedlings.Together,our findings establish ABS6 and SAV4 as positive regulators of cMT severing and ordering,and highlight the role of cMT dynamics in fine-tuning differential growth in plants. 展开更多
关键词 ABS red ABNORMAL SHOOT 6 interacts with KATANIN 1 and SHADE AVOIDANCE 4 to promote cortical microtubule severing and ordering in Arabidopsis
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An artificial intelligence reconstruction of global gridded surface winds
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作者 Lihong Zhou haofeng liu +4 位作者 Xin Jiang Alan D.Ziegler Cesar Azorin-Molina Jiang liu Zhenzhong Zeng 《Science Bulletin》 SCIE EI CAS CSCD 2022年第20期2060-2063,M0003,共5页
Gridded wind speed data products with global coverage and continuous long-term time series are widely used in many applica-tions,such as evaluating wind energy potential[1]and drought processes[2]However,some availabl... Gridded wind speed data products with global coverage and continuous long-term time series are widely used in many applica-tions,such as evaluating wind energy potential[1]and drought processes[2]However,some available products do not accurately reproduce observed wind speed trends on land[3.4].leading to biased or inaccurate conclusions in studies on wind-related phe-nomena.In-situ weather stations involve direct measurements that accurately preserve wind speed trends.Still,the uneven distribu-tion and incomplete time series have constrained their widespread applications in regional and global analyses.These limitations,which we have encountered firsthand in investigating the global wind silling and reversal phenomena[4].have inspired us to cre-ate a new global gridded surface wind product that preserves observed wind patterns and trends. 展开更多
关键词 卷积神经网络 人工智能 缺失值 可再生能源 平均风速 CNN 气候变化 连续性
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