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The Landslide Hazard Chain in the Tapovan of the Himalayas on 7 February 2021 期刊论文
Geophysical Research Letters, 2021
作者:  Ruochen Jiang;  Limin Zhang;  Dalei Peng;  Xin He;  Jian He
收藏  |  浏览/下载:24/0  |  提交时间:2021/08/30
Echolocation in soft-furred tree mice 期刊论文
Science, 2021
作者:  Kai He;  Qi Liu;  Dong-Ming Xu;  Fei-Yan Qi;  Jing Bai;  Shui-Wang He;  Peng Chen;  Xin Zhou;  Wan-Zhi Cai;  Zhong-Zheng Chen;  Zhen Liu;  Xue-Long Jiang;  Peng Shi
收藏  |  浏览/下载:59/0  |  提交时间:2021/06/24
Global patterns and drivers of rainfall partitioning by trees and shrubs 期刊论文
Global Change Biology, 2021
作者:  Kai Yue;  Pieter De Frenne;  Dario A. Fornara;  Koenraad Van Meerbeek;  Wang Li;  Xin Peng;  Xiangyin Ni;  Yan Peng;  Fuzhong Wu;  Yusheng Yang;  Josep Peñ;  uelas
收藏  |  浏览/下载:41/0  |  提交时间:2021/05/14
SARS-CoV-2 Mpro inhibitors with antiviral activity in a transgenic mouse model 期刊论文
Science, 2021
作者:  Jingxin Qiao;  Yue-Shan Li;  Rui Zeng;  Feng-Liang Liu;  Rong-Hua Luo;  Chong Huang;  Yi-Fei Wang;  Jie Zhang;  Baoxue Quan;  Chenjian Shen;  Xin Mao;  Xinlei Liu;  Weining Sun;  Wei Yang;  Xincheng Ni;  Kai Wang;  Ling Xu;  Zi-Lei Duan;  Qing-Cui Zou;  Hai-Lin Zhang;  Wang Qu;  Yang-Hao-Peng Long;  Ming-Hua Li;  Rui-Cheng Yang;  Xiaolong Liu;  Jing You;  Yangli Zhou;  Rui Yao;  Wen-Pei Li;  Jing-Ming Liu;  Pei Chen;  Yang Liu;  Gui-Feng Lin;  Xin Yang;  Jun Zou;  Linli Li;  Yiguo Hu;  Guang-Wen Lu;  Wei-Min Li;  Yu-Quan Wei;  Yong-Tang Zheng;  Jian Lei;  Shengyong Yang
收藏  |  浏览/下载:56/0  |  提交时间:2021/04/06
Increased aerosol extinction efficiency hinders visibility improvement in eastern China 期刊论文
Geophysical Research Letters, 2020
作者:  Jingyi Liu;  Chuanhua Ren;  Xin Huang;  Wei Nie;  Jiaping Wang;  Peng Sun;  Xuguang Chi;  Aijun Ding
收藏  |  浏览/下载:29/0  |  提交时间:2020/10/12
A neurotransmitter produced by gut bacteria modulates host sensory behaviour 期刊论文
NATURE, 2020
作者:  Zhao, Xiaoxu;  Song, Peng;  Wang, Chengcai;  Riis-Jensen, Anders C.;  Fu, Wei;  Deng, Ya;  Wan, Dongyang;  Kang, Lixing;  Ning, Shoucong;  Dan, Jiadong;  Venkatesan, T.;  Liu, Zheng;  Zhou, Wu;  Thygesen, Kristian S.;  Luo, Xin;  Pennycook, Stephen J.;  Loh, Kian Ping
收藏  |  浏览/下载:35/0  |  提交时间:2020/07/03

A neuromodulator produced by commensalProvidenciabacteria that colonize the gut ofCaenorhabditis elegansmimics the functions of the cognate host molecule to manipulate a sensory decision of the host.


Animals coexist in commensal, pathogenic or mutualistic relationships with complex communities of diverse organisms, including microorganisms(1). Some bacteria produce bioactive neurotransmitters that have previously been proposed to modulate nervous system activity and behaviours of their hosts(2,3). However, the mechanistic basis of this microbiota-brain signalling and its physiological relevance are largely unknown. Here we show that inCaenorhabditis elegans, the neuromodulator tyramine produced by commensalProvidenciabacteria, which colonize the gut, bypasses the requirement for host tyramine biosynthesis and manipulates a host sensory decision. Bacterially produced tyramine is probably converted to octopamine by the host tyramine beta-hydroxylase enzyme. Octopamine, in turn, targets the OCTR-1 octopamine receptor on ASH nociceptive neurons to modulate an aversive olfactory response. We identify the genes that are required for tyramine biosynthesis inProvidencia, and show that these genes are necessary for the modulation of host behaviour. We further find thatC. eleganscolonized byProvidenciapreferentially select these bacteria in food choice assays, and that this selection bias requires bacterially produced tyramine and host octopamine signalling. Our results demonstrate that a neurotransmitter produced by gut bacteria mimics the functions of the cognate host molecule to override host control of a sensory decision, and thereby promotes fitness of both the host and the microorganism.


  
Action of a minimal contractile bactericidal nanomachine 期刊论文
NATURE, 2020, 580 (7805) : 658-+
作者:  Peng, Ruchao;  Xu, Xin;  Jing, Jiamei;  Wang, Min;  Peng, Qi;  Liu, Sheng;  Wu, Ying;  Bao, Xichen;  Wang, Peiyi;  Qi, Jianxun;  Gao, George F.;  Shi, Yi
收藏  |  浏览/下载:29/0  |  提交时间:2020/07/03

The authors report near-atomic resolution structures of the R-type bacteriocin from Pseudomonas aeruginosa in the pre-contraction and post-contraction states, and these structures provide insight into the mechanism of action of molecular syringes.


R-type bacteriocins are minimal contractile nanomachines that hold promise as precision antibiotics(1-4). Each bactericidal complex uses a collar to bridge a hollow tube with a contractile sheath loaded in a metastable state by a baseplate scaffold(1,2). Fine-tuning of such nucleic acid-free protein machines for precision medicine calls for an atomic description of the entire complex and contraction mechanism, which is not available from baseplate structures of the (DNA-containing) T4 bacteriophage(5). Here we report the atomic model of the complete R2 pyocin in its pre-contraction and post-contraction states, each containing 384 subunits of 11 unique atomic models of 10 gene products. Comparison of these structures suggests the following sequence of events during pyocin contraction: tail fibres trigger lateral dissociation of baseplate triplexes  the dissociation then initiates a cascade of events leading to sheath contraction  and this contraction converts chemical energy into mechanical force to drive the iron-tipped tube across the bacterial cell surface, killing the bacterium.


  
Remarkable nucleation and growth of ultrafine particles from vehicular exhaust 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (7) : 3427-3432
作者:  Guo, Song;  Hu, Min;  Peng, Jianfei;  Wu, Zhijun;  Zamora, Misti L.;  Shang, Dongjie;  Du, Zhuofei;  Zheng, Jing;  Fang, Xin;  Tang, Rongzhi;  Wu, Yusheng;  Zeng, Limin;  Shuai, Shijin;  Zhang, Wenbin;  Wang, Yuan;  Ji, Yuemeng;  Li, Yixin;  Zhang, Annie L.;  Wang, Weigang;  Zhang, Fang;  Zhao, Jiayun;  Gong, Xiaoli;  Wang, Chunyu;  Molina, Mario J.;  Zhang, Renyi
收藏  |  浏览/下载:33/0  |  提交时间:2020/05/13
new particle formation  nucleation  ultrafine particles  growth  organics  
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:157/0  |  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:31/0  |  提交时间:2020/02/17