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| 1 | Spatiotemporal Variations of Microwave Land Surface Emissivity(MLSE)over China Derived from Four-Year Recalibrated Fengyun 3B MWRI Data显示文摘Microwave Land Surface Emissivity(MLSE)over China under both clear and cloudy sky conditions was retrieved using measurements of recalibrated microwave brightness temperatures(Tbs)from Fengyun-3B Microwave Radiation Imager(FY-3B MWRI),combined with cloud properties derived from Himawari-8 Advanced Himawari Imager(AHI)observations.The contributions from cloud particles and atmospheric gases to the upwelling Tbs at the top of atmosphere were calculated and removed in radiative transfer.The MLSEs at horizontal polarizations at 10.65,18.7,and 36.5 GHz during 7 July 2015 to 30 June 2019 over China showed high values in the southeast vegetated area and low values in the northwest barren,or sparsely vegetated,area.The maximum values were found in the belt area of the Qinling-Taihang Mountains and the eastern edge of the Qinghai-Tibet Plateau,which is highly consistent with MLSEs derived from AMSR-E.It demonstrates that the measurements of FY-3B MWRI Tbs,including its calibration and validation,are reliable,and the retrieval algorithm developed in this study works well.Seasonal variations of MLSE in China are mainly driven by the combined effects of vegetation,rainfall,and snow cover.In tropical and southern forest regions,the seasonal variation of MLSE is small due to the enhancement from vegetation and the suppression from rainfall.In the boreal area,snow causes a significant decrease of MLSE at 36.5 GHz in winter.Meanwhile,the MLSE at lower frequencies experiences less suppression.In the desert region in Xinjiang,increases of MLSEs at all frequencies are observed with increasing snow cover. | Rui LI Jiheng HU Shengli WU Peng ZHANG Husi LETU Yu WANG Xuewen WANG Yuyun FU Renjun ZHOU Ling SUN | 2022 | Advances in Atmospheric Sciences2022，39，9： | 1 |
| 2 | Transcriptional landscapes of de novo root regeneration from detached Arabidopsis leaves revealed by time-lapse and single-cell RNA sequencing analyses显示文摘Detached Arabidopsis thaliana leaves can regenerate adventitious roots,providing a platformfor studying de novo root regeneration(DNRR).However,the comprehensive transcriptional framework of DNRR remains elusive.Here,we provide a high-resolution landscape of transcriptome reprogramming from wound response to root organogenesis in DNRR and show key factors involved in DNRR.Time-lapse RNA sequencing(RNA-seq)of the entire leaf within 12 h of leaf detachment revealed rapid activation of jasmonate,ethylene,and reactive oxygen species(ROS)pathways in response towounding.Genetic analyses confirmed that ethylene andROSmay serve as wound signals to promoteDNRR.Next,time-lapse RNA-seq within 5 d of leaf detachment revealed the activation of genes involved in organogenesis,wound-induced regeneration,and resource allocation in the wounded region of detached leaves during adventitious rooting.Genetic studies showed that BLADE-ON-PETIOLE1/2,which control aboveground organs,PLETHORA3/5/7,which control root organogenesis,and ETHYLENE RESPONSE FACTOR115,which controlswound-induced regeneration,are involved in DNRR.Furthermore,single-cell RNA-seq data revealed gene expression patterns in thewounded region of detached leaves during adventitious rooting.Overall,our study not only provides transcriptome tools but also reveals key factors involved in DNRR from detached Arabidopsis leaves. | Wu Liu Yuyun Zhang Xing Fang Sorrel Tran Ning Zhai Zhengfei Yang Fu Guo Lyuqin Chen Jie Yu Madalene SIson Teng Zhang Lijun Sun Hongwu Bian Yijing Zhang Li Yang Lin Xu | 2022 | Plant Communications2022，3，4： | 0 |
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