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Satellite-observed warm-core structure in relation to tropical cyclone intensity change 期刊论文
ATMOSPHERIC RESEARCH, 2020, 240
作者:  Wang, Xiang;  Jiang, Haiyan;  Zhang, Jun A.;  Peng, Ke
收藏  |  浏览/下载:9/0  |  提交时间:2020/08/18
Bedrock geochemistry influences vegetation growth by regulating the regolith water holding capacity 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Jiang, Zihan;  Liu, Hongyan;  Wang, Hongya;  Peng, Jian;  Meersmans, Jeroen;  Green, Sophie M.;  Quine, Timothy A.;  Wu, Xiuchen;  Song, Zhaoliang
收藏  |  浏览/下载:14/0  |  提交时间:2020/05/20
Impact of in-cloud aqueous processes on the chemical compositions and morphology of individual atmospheric aerosols 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Yuzhen Fu, Qinhao Lin, Guohua Zhang, Yuxiang Yang, Yiping Yang, Xiufeng Lian, Long Peng, Feng Jiang, Xinhui Bi, Lei Li, Yuanyuan Wang, Duohong Chen, Jie Ou, Xinming Wang, Ping'an Peng, Jianxi Zhu, and Guoying Sheng
收藏  |  浏览/下载:9/0  |  提交时间:2020/05/13
Electromechanical coupling in the hyperpolarization-activated K+ channel KAT1 期刊论文
NATURE, 2020, 583 (7814) : 145-+
作者:  Jin, Zhenming;  Du, Xiaoyu;  Xu, Yechun;  Deng, Yongqiang;  Liu, Meiqin;  Zhao, Yao;  Zhang, Bing;  Li, Xiaofeng;  Zhang, Leike;  Peng, Chao;  Duan, Yinkai;  Yu, Jing;  Wang, Lin;  Yang, Kailin;  Liu, Fengjiang;  Jiang, Rendi;  Yang, Xinglou;  You, Tian;  Liu, Xiaoce
收藏  |  浏览/下载:27/0  |  提交时间:2020/07/03

Voltage-gated potassium (K-v) channels coordinate electrical signalling and control cell volume by gating in response to membrane depolarization or hyperpolarization. However, although voltage-sensing domains transduce transmembrane electric field changes by a common mechanism involving the outward or inward translocation of gating charges(1-3), the general determinants of channel gating polarity remain poorly understood(4). Here we suggest a molecular mechanism for electromechanical coupling and gating polarity in non-domain-swapped K-v channels on the basis of the cryo-electron microscopy structure of KAT1, the hyperpolarization-activated K-v channel from Arabidopsis thaliana. KAT1 displays a depolarized voltage sensor, which interacts with a closed pore domain directly via two interfaces and indirectly via an intercalated phospholipid. Functional evaluation of KAT1 structure-guided mutants at the sensor-pore interfaces suggests a mechanism in which direct interaction between the sensor and the C-linker hairpin in the adjacent pore subunit is the primary determinant of gating polarity. We suggest that an inward motion of the S4 sensor helix of approximately 5-7 angstrom can underlie a direct-coupling mechanism, driving a conformational reorientation of the C-linker and ultimately opening the activation gate formed by the S6 intracellular bundle. This direct-coupling mechanism contrasts with allosteric mechanisms proposed for hyperpolarization-activated cyclic nucleotide-gated channels(5), and may represent an unexpected link between depolarization- and hyperpolarization-activated channels.


The cryo-electron microscopy structure of the hyperpolarization-activated K+ channel KAT1 points to a direct-coupling mechanism between S4 movement and the reorientation of the C-linker.


  
Recycling and metabolic flexibility dictate life in the lower oceanic crust 期刊论文
NATURE, 2020, 579 (7798) : 250-+
作者:  Zhou, Peng;  Yang, Xing-Lou;  Wang, Xian-Guang;  Hu, Ben;  Zhang, Lei;  Zhang, Wei;  Si, Hao-Rui;  Zhu, Yan;  Li, Bei;  Huang, Chao-Lin;  Chen, Hui-Dong;  Chen, Jing;  Luo, Yun;  Guo, Hua;  Jiang, Ren-Di;  Liu, Mei-Qin;  Chen, Ying;  Shen, Xu-Rui;  Wang, Xi;  Zheng, Xiao-Shuang;  Zhao, Kai;  Chen, Quan-Jiao;  Deng, Fei;  Liu, Lin-Lin;  Yan, Bing;  Zhan, Fa-Xian;  Wang, Yan-Yi;  Xiao, Geng-Fu;  Shi, Zheng-Li
收藏  |  浏览/下载:37/0  |  提交时间:2020/05/13

The lithified lower oceanic crust is one of Earth'  s last biological frontiers as it is difficult to access. It is challenging for microbiota that live in marine subsurface sediments or igneous basement to obtain sufficient carbon resources and energy to support growth(1-3) or to meet basal power requirements(4) during periods of resource scarcity. Here we show how limited and unpredictable sources of carbon and energy dictate survival strategies used by low-biomass microbial communities that live 10-750 m below the seafloor at Atlantis Bank, Indian Ocean, where Earth'  s lower crust is exposed at the seafloor. Assays of enzyme activities, lipid biomarkers, marker genes and microscopy indicate heterogeneously distributed and viable biomass with ultralow cell densities (fewer than 2,000 cells per cm(3)). Expression of genes involved in unexpected heterotrophic processes includes those with a role in the degradation of polyaromatic hydrocarbons, use of polyhydroxyalkanoates as carbon-storage molecules and recycling of amino acids to produce compounds that can participate in redox reactions and energy production. Our study provides insights into how microorganisms in the plutonic crust are able to survive within fractures or porous substrates by coupling sources of energy to organic and inorganic carbon resources that are probably delivered through the circulation of subseafloor fluids or seawater.


  
Improved protein structure prediction using potentials from deep learning 期刊论文
NATURE, 2020, 577 (7792) : 706-+
作者:  Ma, Runze;  Cao, Duanyun;  Zhu, Chongqin;  Tian, Ye;  Peng, Jinbo;  Guo, Jing;  Chen, Ji;  Li, Xin-Zheng;  Francisco, Joseph S.;  Zeng, Xiao Cheng;  Xu, Li-Mei;  Wang, En-Ge;  Jiang, Ying
收藏  |  浏览/下载:142/0  |  提交时间:2020/07/03

Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence(1). This problem is of fundamental importance as the structure of a protein largely determines its function(2)  however, protein structures can be difficult to determine experimentally. Considerable progress has recently been made by leveraging genetic information. It is possible to infer which amino acid residues are in contact by analysing covariation in homologous sequences, which aids in the prediction of protein structures(3). Here we show that we can train a neural network to make accurate predictions of the distances between pairs of residues, which convey more information about the structure than contact predictions. Using this information, we construct a potential of mean force(4) that can accurately describe the shape of a protein. We find that the resulting potential can be optimized by a simple gradient descent algorithm to generate structures without complex sampling procedures. The resulting system, named AlphaFold, achieves high accuracy, even for sequences with fewer homologous sequences. In the recent Critical Assessment of Protein Structure Prediction(5) (CASP13)-a blind assessment of the state of the field-AlphaFold created high-accuracy structures (with template modelling (TM) scores(6) of 0.7 or higher) for 24 out of 43 free modelling domains, whereas the next best method, which used sampling and contact information, achieved such accuracy for only 14 out of 43 domains. AlphaFold represents a considerable advance in protein-structure prediction. We expect this increased accuracy to enable insights into the function and malfunction of proteins, especially in cases for which no structures for homologous proteins have been experimentally determined(7).


  
Impact of anthropogenic emissions on biogenic secondary organic aerosol: observation in the Pearl River Delta, southern China 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (22) : 14403-14415
作者:  Zhang, Yu-Qing;  Chen, Duo-Hong;  Ding, Xiang;  Li, Jun;  Zhang, Tao;  Wang, Jun-Qi;  Cheng, Qian;  Jiang, Hao;  Song, Wei;  Ou, Yu-Bo;  Ye, Peng-Lin;  Zhang, Gan;  Wang, Xin-Ming
收藏  |  浏览/下载:12/0  |  提交时间:2020/02/17
Enrichment of submicron sea-salt-containing particles in small cloud droplets based on single-particle mass spectrometry 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (16) : 10469-10479
作者:  Lin, Qinhao;  Yang, Yuxiang;  Fu, Yuzhen;  Zhang, Guohua;  Jiang, Feng;  Peng, Long;  Lian, Xiufeng;  Liu, Fengxian;  Bi, Xinhui;  Li, Lei;  Chen, Duohong;  Li, Mei;  Ou, Jie;  Tang, Mingjin;  Wang, Xinming;  Peng, Pingan;  Sheng, Guoying
收藏  |  浏览/下载:13/0  |  提交时间:2019/11/27
Genetic basis of ruminant headgear and rapid antler regeneration 期刊论文
SCIENCE, 2019, 364 (6446) : 1153-+
作者:  Wang, Yu;  Zhang, Chenzhou;  Wang, Nini;  Li, Zhipeng;  Heller, Rasmus;  Liu, Rong;  Zhao, Yue;  Han, Jiangang;  Pan, Xiangyu;  Zheng, Zhuqing;  Dai, Xueqin;  Chen, Ceshi;  Dou, Mingle;  Peng, Shujun;  Chen, Xianqing;  Liu, Jing;  Li, Ming;  Wang, Kun;  Liu, Chang;  Lin, Zeshan;  Chen, Lei;  Hao, Fei;  Zhu, Wenbo;  Song, Chengchuang;  Zhao, Chen;  Zheng, Chengli;  Wang, Jianming;  Hu, Shengwei;  Li, Cunyuan;  Yang, Hui;  Jiang, Lin;  Li, Guangyu;  Liu, Mingjun;  Sonstegard, Tad S.;  Zhang, Guojie;  Jiang, Yu;  Wang, Wen;  Qiu, Qiang
收藏  |  浏览/下载:11/0  |  提交时间:2019/11/27
The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight 期刊论文
SCIENCE, 2019, 364 (6436) : 144-+
作者:  Garrett-Bakelman, Francine E.;  Darshi, Manjula;  Green, Stefan J.;  Gur, Ruben C.;  Lin, Ling;  Macias, Brandon R.;  McKenna, Miles J.;  Meydan, Cem;  Mishra, Tejaswini;  Nasrini, Jad;  Piening, Brian D.;  Rizzardi, Lindsay F.;  Sharma, Kumar;  Siamwala, Jamila H.;  Taylor, Lynn;  Vitaterna, Martha Hotz;  Afkarian, Maryam;  Afshinnekoo, Ebrahim;  Ahadi, Sara;  Ambati, Aditya;  Arya, Maneesh;  Bezdan, Daniela;  Callahan, Colin M.;  Chen, Songjie;  Choi, Augustine M. K.;  Chlipala, George E.;  Contrepois, Kevin;  Covington, Marisa;  Crucian, Brian E.;  De Vivo, Immaculata;  Dinges, David F.;  Ebert, Douglas J.;  Feinberg, Jason I.;  Gandara, Jorge A.;  George, Kerry A.;  Goutsias, John;  Grills, George S.;  Hargens, Alan R.;  Heer, Martina;  Hillary, Ryan P.;  Hoofnagle, Andrew N.;  Hook, Vivian Y. H.;  Jenkinson, Garrett;  Jiang, Peng;  Keshavarzian, Ali;  Laurie, Steven S.;  Lee-McMullen, Brittany;  Lumpkins, Sarah B.;  MacKay, Matthew;  Maienschein-Cline, Mark G.;  Melnick, Ari M.;  Moore, Tyler M.;  Nakahira, Kiichi;  Patel, Hemal H.;  Pietrzyk, Robert;  Rao, Varsha;  Saito, Rintaro;  Salins, Denis N.;  Schilling, Jan M.;  Sears, Dorothy D.;  Sheridan, Caroline K.;  Stenger, Michael B.;  Tryggvadottir, Rakel;  Urban, Alexander E.;  Vaisar, Tomas;  Van Espen, Benjamin;  Zhang, Jing;  Ziegler, Michael G.;  Zwart, Sara R.;  Charles, John B.;  Kundrot, Craig E.;  Scott, Graham B. I.;  Bailey, Susan M.;  Basner, Mathias;  Feinberg, Andrew P.;  Lee, Stuart M. C.;  Mason, Christopher E.;  Mignot, Emmanuel;  Rana, Brinda K.;  Smith, Scott M.;  Snyder, Michael P.;  Turek, Fred W.
收藏  |  浏览/下载:38/0  |  提交时间:2019/11/27