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Global divergent trends of algal blooms detected by satellite during 1982–2018 期刊论文
Global Change Biology, 2022
作者:  Chong Fang;  Kaishan Song;  Hans W Paerl;  Pierre-Andre Jacinthe;  Zhidan Wen;  Ge Liu;  Hui Tao;  Xiaofeng Xu;  Tiit Kutser;  Zongming Wang;  Hongtao Duan;  Kun Shi;  Yingxin Shang;  Lili Lyu;  Sijia Li;  Qian Yang;  Dongmei Lyu;  Dehua Mao;  Baohua Zhang;  Shuai Cheng;  Yunfeng Lyu
收藏  |  浏览/下载:15/0  |  提交时间:2022/02/16
Warming reshaped the microbial hierarchical interactions 期刊论文
Global Change Biology, 2021
作者:  Yuqi Zhou;  Baoyu Sun;  Baohua Xie;  Kai Feng;  Zhaojing Zhang;  Zheng Zhang;  Shuzhen Li;  Xiongfeng Du;  Qi Zhang;  Songsong Gu;  Wen Song;  Linlin Wang;  Jianyang Xia;  Guangxuan Han;  Ye Deng
收藏  |  浏览/下载:30/0  |  提交时间:2021/10/07
Peta–electron volt gamma-ray emission from the Crab Nebula 期刊论文
Science, 2021
作者:  The LHAASO Collaboration*†;  Zhen Cao;  F. Aharonian;  Q. An;  Axikegu;  L. X. Bai;  Y. X. Bai;  Y. W. Bao;  D. Bastieri;  X. J. Bi;  Y. J. Bi;  H. Cai;  J. T. Cai;  Zhe Cao;  J. Chang;  J. F. Chang;  B. M. Chen;  E. S. Chen;  J. Chen;  Liang Chen;  Liang Chen;  Long Chen;  M. J. Chen;  M. L. Chen;  Q. H. Chen;  S. H. Chen;  S. Z. Chen;  T. L. Chen;  X. L. Chen;  Y. Chen;  N. Cheng;  Y. D. Cheng;  S. W. Cui;  X. H. Cui;  Y. D. Cui;  B. D’Ettorre Piazzoli;  B. Z. Dai;  H. L. Dai;  Z. G. Dai;  Danzengluobu;  D. della Volpe;  X. J. Dong;  K. K. Duan;  J. H. Fan;  Y. Z. Fan;  Z. X. Fan;  J. Fang;  K. Fang;  C. F. Feng;  L. Feng;  S. H. Feng;  Y. L. Feng;  B. Gao;  C. D. Gao;  L. Q. Gao;  Q. Gao;  W. Gao;  M. M. Ge;  L. S. Geng;  G. H. Gong;  Q. B. Gou;  M. H. Gu;  F. L. Guo;  J. G. Guo;  X. L. Guo;  Y. Q. Guo;  Y. Y. Guo;  Y. A. Han;  H. H. He;  H. N. He;  J. C. He;  S. L. He;  X. B. He;  Y. He;  M. Heller;  Y. K. Hor;  C. Hou;  X. Hou;  H. B. Hu;  S. Hu;  S. C. Hu;  X. J. Hu;  D. H. Huang;  Q. L. Huang;  W. H. Huang;  X. T. Huang;  X. Y. Huang;  Z. C. Huang;  F. Ji;  X. L. Ji;  H. Y. Jia;  K. Jiang;  Z. J. Jiang;  C. Jin;  T. Ke;  D. Kuleshov;  K. Levochkin;  B. B. Li;  Cheng Li;  Cong Li;  F. Li;  H. B. Li;  H. C. Li;  H. Y. Li;  Jian Li;  Jie Li;  K. Li;  W. L. Li;  X. R. Li;  Xin Li;  Xin Li;  Y. Li;  Y. Z. Li;  Zhe Li;  Zhuo Li;  E. W. Liang;  Y. F. Liang;  S. J. Lin;  B. Liu;  C. Liu;  D. Liu;  H. Liu;  H. D. Liu;  J. Liu;  J. L. Liu;  J. S. Liu;  J. Y. Liu;  M. Y. Liu;  R. Y. Liu;  S. M. Liu;  W. Liu;  Y. Liu;  Y. N. Liu;  Z. X. Liu;  W. J. Long;  R. Lu;  H. K. Lv;  B. Q. Ma;  L. L. Ma;  X. H. Ma;  J. R. Mao;  A. Masood;  Z. Min;  W. Mitthumsiri;  T. Montaruli;  Y. C. Nan;  B. Y. Pang;  P. Pattarakijwanich;  Z. Y. Pei;  M. Y. Qi;  Y. Q. Qi;  B. Q. Qiao;  J. J. Qin;  D. Ruffolo;  V. Rulev;  A. Saiz;  L. Shao;  O. Shchegolev;  X. D. Sheng;  J. Y. Shi;  H. C. Song;  Yu. V. Stenkin;  V. Stepanov;  Y. Su;  Q. N. Sun;  X. N. Sun;  Z. B. Sun;  P. H. T. Tam;  Z. B. Tang;  W. W. Tian;  B. D. Wang;  C. Wang;  H. Wang;  H. G. Wang;  J. C. Wang;  J. S. Wang;  L. P. Wang;  L. Y. Wang;  R. N. Wang;  Wei Wang;  Wei Wang;  X. G. Wang;  X. J. Wang;  X. Y. Wang;  Y. Wang;  Y. D. Wang;  Y. J. Wang;  Y. P. Wang;  Z. H. Wang;  Z. X. Wang;  Zhen Wang;  Zheng Wang;  D. M. Wei;  J. J. Wei;  Y. J. Wei;  T. Wen;  C. Y. Wu;  H. R. Wu;  S. Wu;  W. X. Wu;  X. F. Wu;  S. Q. Xi;  J. Xia;  J. J. Xia;  G. M. Xiang;  D. X. Xiao;  G. Xiao;  H. B. Xiao;  G. G. Xin;  Y. L. Xin;  Y. Xing;  D. L. Xu;  R. X. Xu;  L. Xue;  D. H. Yan;  J. Z. Yan;  C. W. Yang;  F. F. Yang;  J. Y. Yang;  L. L. Yang;  M. J. Yang;  R. Z. Yang;  S. B. Yang;  Y. H. Yao;  Z. G. Yao;  Y. M. Ye;  L. Q. Yin;  N. Yin;  X. H. You;  Z. Y. You;  Y. H. Yu;  Q. Yuan;  H. D. Zeng;  T. X. Zeng;  W. Zeng;  Z. K. Zeng;  M. Zha;  X. X. Zhai;  B. B. Zhang;  H. M. Zhang;  H. Y. Zhang;  J. L. Zhang;  J. W. Zhang;  L. X. Zhang;  Li Zhang;  Lu Zhang;  P. F. Zhang;  P. P. Zhang;  R. Zhang;  S. R. Zhang;  S. S. Zhang;  X. Zhang;  X. P. Zhang;  Y. F. Zhang;  Y. L. Zhang;  Yi Zhang;  Yong Zhang;  B. Zhao;  J. Zhao;  L. Zhao;  L. Z. Zhao;  S. P. Zhao;  F. Zheng;  Y. Zheng;  B. Zhou;  H. Zhou;  J. N. Zhou;  P. Zhou;  R. Zhou;  X. X. Zhou;  C. G. Zhu;  F. R. Zhu;  H. Zhu;  K. J. Zhu;  X. Zuo
收藏  |  浏览/下载:14/0  |  提交时间:2021/07/27
Enhanced harmony search algorithm for sustainable ecological operation of cascade hydropower reservoirs in river ecosystem 期刊论文
Environmental Research Letters, 2021
作者:  Wen-jing Niu;  Zhong-kai Feng;  Zhi-qiang Jiang;  Sen Wang;  Shuai Liu;  Wei Guo;  Zhen-guo Song
收藏  |  浏览/下载:11/0  |  提交时间:2021/05/07
Contributions of Arctic sea‐ice loss and East Siberian atmospheric blocking to 2020 record‐breaking Meiyu‐Baiu rainfall 期刊论文
Geophysical Research Letters, 2021
作者:  Xiaodan Chen;  Aiguo Dai;  Zhiping Wen;  Yuanyuan Song
收藏  |  浏览/下载:7/0  |  提交时间:2021/04/20
Statistical Distribution of Bifurcation of Earth's Inner Energetic Electron Belt at tens of keV 期刊论文
Geophysical Research Letters, 2020
作者:  Man Hua;  Binbin Ni;  Wen Li;  Qianli Ma;  Xudong Gu;  Song Fu;  Xing Cao;  Yingjie Guo;  Yangxizi Liu
收藏  |  浏览/下载:14/0  |  提交时间:2021/01/22
Direct pathogen-induced assembly of an NLR immune receptor complex to form a holoenzyme 期刊论文
Science, 2020
作者:  Shoucai Ma;  Dmitry Lapin;  Li Liu;  Yue Sun;  Wen Song;  Xiaoxiao Zhang;  Elke Logemann;  Dongli Yu;  Jia Wang;  Jan Jirschitzka;  Zhifu Han;  Paul Schulze-Lefert;  Jane E. Parker;  Jijie Chai
收藏  |  浏览/下载:11/0  |  提交时间:2020/12/07
Structure and mechanism of human diacylglycerol O-acyltransferase 1 期刊论文
NATURE, 2020, 581 (7808) : 329-+
作者:  Wu, Fan;  Zhao, Su;  Yu, Bin;  Chen, Yan-Mei;  Wang, Wen;  Song, Zhi-Gang;  Hu, Yi;  Tao, Zhao-Wu;  Tian, Jun-Hua;  Pei, Yuan-Yuan;  Yuan, Ming-Li;  Zhang, Yu-Ling;  Dai, Fa-Hui;  Liu, Yi;  Wang, Qi-Min;  Zheng, Jiao-Jiao;  Xu, Lin;  Holmes, Edward C.;  Zhang, Yong-Zhen
收藏  |  浏览/下载:24/0  |  提交时间:2020/07/03

The structure of human diacylglycerol O-acyltransferase 1, a membrane protein that synthesizes triacylglycerides, is solved with cryo-electron microscopy, providing insight into its function and mechanism of enzymatic activity.


Diacylglycerol O-acyltransferase 1 (DGAT1) synthesizes triacylglycerides and is required for dietary fat absorption and fat storage in humans(1). DGAT1 belongs to the membrane-bound O-acyltransferase (MBOAT) superfamily, members of which are found in all kingdoms of life and are involved in the acylation of lipids and proteins(2,3). How human DGAT1 and other mammalian members of the MBOAT family recognize their substrates and catalyse their reactions is unknown. The absence of three-dimensional structures also hampers rational targeting of DGAT1 for therapeutic purposes. Here we present the cryo-electron microscopy structure of human DGAT1 in complex with an oleoyl-CoA substrate. Each DGAT1 protomer has nine transmembrane helices, eight of which form a conserved structural fold that we name the MBOAT fold. The MBOAT fold in DGAT1 forms a hollow chamber in the membrane that encloses highly conserved catalytic residues. The chamber has separate entrances for each of the two substrates, fatty acyl-CoA and diacylglycerol. DGAT1 can exist as either a homodimer or a homotetramer and the two forms have similar enzymatic activity. The N terminus of DGAT1 interacts with the neighbouring protomer and these interactions are required for enzymatic activity.


  
The online competition between pro- and anti-vaccination views 期刊论文
NATURE, 2020, 582 (7811) : 230-+
作者:  Wu, Fan;  Zhao, Su;  Yu, Bin;  Chen, Yan-Mei;  Wang, Wen;  Song, Zhi-Gang;  Hu, Yi;  Tao, Zhao-Wu;  Tian, Jun-Hua;  Pei, Yuan-Yuan;  Yuan, Ming-Li;  Zhang, Yu-Ling;  Dai, Fa-Hui;  Liu, Yi;  Wang, Qi-Min;  Zheng, Jiao-Jiao;  Xu, Lin;  Holmes, Edward C.;  Zhang, Yong-Zhen
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/03

Insights into the interactions between pro- and anti-vaccination clusters on Facebook can enable policies and approaches that attempt to interrupt the shift to anti-vaccination views and persuade undecided individuals to adopt a pro-vaccination stance.


Distrust in scientific expertise(1-14) is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks(2-4), as happened for measles in 2019(5,6). Homemade remedies(7,8) and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice(9-11). There is a lack of understanding about how this distrust evolves at the system level(13,14). Here we provide a map of the contention surrounding vaccines that has emerged from the global pool of around three billion Facebook users. Its core reveals a multi-sided landscape of unprecedented intricacy that involves nearly 100 million individuals partitioned into highly dynamic, interconnected clusters across cities, countries, continents and languages. Although smaller in overall size, anti-vaccination clusters manage to become highly entangled with undecided clusters in the main online network, whereas pro-vaccination clusters are more peripheral. Our theoretical framework reproduces the recent explosive growth in anti-vaccination views, and predicts that these views will dominate in a decade. Insights provided by this framework can inform new policies and approaches to interrupt this shift to negative views. Our results challenge the conventional thinking about undecided individuals in issues of contention surrounding health, shed light on other issues of contention such as climate change(11), and highlight the key role of network cluster dynamics in multi-species ecologies(15).


  
Microbiota-targeted maternal antibodies protect neonates from enteric infection 期刊论文
NATURE, 2020, 577 (7791) : 543-+
作者:  Zheng, Wen;  Zhao, Wenjing;  Wu, Meng;  Song, Xinyang;  Caro, Florence;  Sun, Ximei;  Gazzaniga, Francesca;  Stefanetti, Giuseppe;  Oh, Sungwhan;  Mekalanos, John J.;  Kasper, Dennis L.
收藏  |  浏览/下载:6/0  |  提交时间:2020/07/03

Although maternal antibodies protect newborn babies from infection(1,2), little is known about how protective antibodies are induced without prior pathogen exposure. Here we show that neonatal mice that lack the capacity to produce IgG are protected from infection with the enteric pathogen enterotoxigenic Escherichia coli by maternal natural IgG antibodies against the maternal microbiota when antibodies are delivered either across the placenta or through breast milk. By challenging pups that were fostered by either maternal antibody-sufficient or antibody-deficient dams, we found that IgG derived from breast milk was crucial for protection against mucosal disease induced by enterotoxigenic E. coli. IgG also provides protection against systemic infection by E. coli. Pups used the neonatal Fc receptor to transfer IgG from milk into serum. The maternal commensal microbiota can induce antibodies that recognize antigens expressed by enterotoxigenic E. coli and other Enterobacteriaceae species. Induction of maternal antibodies against a commensal Pantoea species confers protection against enterotoxigenic E. coli in pups. This role of the microbiota in eliciting protective antibodies to a specific neonatal pathogen represents an important host defence mechanism against infection in neonates.


Neonatal mice are protected against infection with the enteric pathogen enterotoxigenic Escherichia coli by maternally derived natural antibodies as well as by maternal commensal microbiota that induce antibodies that recognize antigens expressed by Enterobacteriaceae.