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Fair-share carbon dioxide removal increases major emitter responsibility 期刊论文
NATURE CLIMATE CHANGE, 2020
作者:  Fyson, Claire L.;  Baur, Susanne;  Gidden, Matthew;  Schleussner, Carl-Friedrich
收藏  |  浏览/下载:20/0  |  提交时间:2020/08/09
A transition to sustainable ocean governance 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Rudolph, Tanya Brodie;  Ruckelshaus, Mary;  Swilling, Mark;  Allison, Edward H.;  Osterblom, Henrik;  Gelcich, Stefan;  Mbatha, Philile
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/21
Climate laws help reduce emissions 期刊论文
NATURE CLIMATE CHANGE, 2020
作者:  Dubash, Navroz K.
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/21
Acquiring environmental flows: ecological economics of policy development in western US 期刊论文
ECOLOGICAL ECONOMICS, 2020, 173
作者:  Colby, Bonnie
收藏  |  浏览/下载:10/0  |  提交时间:2020/08/18
Environmental flows  Markets  Water trading  Institutions  Conflict resolution  Patrimony  Social Ecological Economics of Water  Punctuated Equilibrium Theory  
Stable isotopes show that earthquakes enhance permeability and release water from mountains 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Hosono, Takahiro;  Yamada, Chisato;  Manga, Michael;  Wang, Chi-Yuen;  Tanimizu, Masaharu
收藏  |  浏览/下载:11/0  |  提交时间:2020/06/09
The economic impacts of water supply restrictions due to climate and policy change: A transboundary river basin supply-side input-output analysis 期刊论文
ECOLOGICAL ECONOMICS, 2020, 172
作者:  Eamen, Leila;  Brouwer, Roy;  Razavi, Saman
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/02
Supply-side input-output model  Transboundary river basin  Water supply restriction  Climate change  Economic impacts  Water policy  
Uncertainties in macroeconomic assessments of low-carbon transition pathways - The case of the European iron and steel industry 期刊论文
ECOLOGICAL ECONOMICS, 2020, 172
作者:  Bachner, G.;  Mayer, J.;  Steininger, K. W.;  Anger-Kraavi, A.;  Smith, A.;  Barker, T. S.
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Climate change mitigation  Uncertainty  Low carbon transition  Iron and steel  Macroeconomic modelling  Process emissions  
A developmental landscape of 3D-cultured human pre-gastrulation embryos 期刊论文
NATURE, 2020, 577 (7791) : 537-+
作者:  Xiang, Lifeng;  Yin, Yu;  Zheng, Yun;  Ma, Yanping;  Li, Yonggang;  Zhao, Zhigang;  Guo, Junqiang;  Ai, Zongyong;  Niu, Yuyu;  Duan, Kui;  He, Jingjing;  Ren, Shuchao;  Wu, Dan;  Bai, Yun;  Shang, Zhouchun;  Dai, Xi;  Ji, Weizhi;  Li, Tianqing
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/03

Our understanding of how human embryos develop before gastrulation, including spatial self-organization and cell type ontogeny, remains limited by available two-dimensional technological platforms(1,2) that do not recapitulate the in vivo conditions(3-5). Here we report a three-dimensional (3D) blastocyst-culture system that enables human blastocyst development up to the primitive streak anlage stage. These 3D embryos mimic developmental landmarks and 3D architectures in vivo, including the embryonic disc, amnion, basement membrane, primary and primate unique secondary yolk sac, formation of anterior-posterior polarity and primitive streak anlage. Using single-cell transcriptome profiling, we delineate ontology and regulatory networks that underlie the segregation of epiblast, primitive endoderm and trophoblast. Compared with epiblasts, the amniotic epithelium shows unique and characteristic phenotypes. After implantation, specific pathways and transcription factors trigger the differentiation of cytotrophoblasts, extravillous cytotrophoblasts and syncytiotrophoblasts. Epiblasts undergo a transition to pluripotency upon implantation, and the transcriptome of these cells is maintained until the generation of the primitive streak anlage. These developmental processes are driven by different pluripotency factors. Together, findings from our 3D-culture approach help to determine the molecular and morphogenetic developmental landscape that occurs during human embryogenesis.


A 3D culture system to model human embryonic development, together with single-cell transcriptome profiling, provides insights into the molecular developmental landscape during human post-implantation embryogenesis.


  
Microbial bile acid metabolites modulate gut ROR gamma(+) regulatory T cell homeostasis 期刊论文
NATURE, 2020, 577 (7790) : 410-+
作者:  Bhargava, Manjul
收藏  |  浏览/下载:18/0  |  提交时间:2020/07/03

The metabolic pathways encoded by the human gut microbiome constantly interact with host gene products through numerous bioactive molecules(1). Primary bile acids (BAs) are synthesized within hepatocytes and released into the duodenum to facilitate absorption of lipids or fat-soluble vitamins(2). Some BAs (approximately 5%) escape into the colon, where gut commensal bacteria convert them into various intestinal BAs2 that are important hormones that regulate host cholesterol metabolism and energy balance via several nuclear receptors and/or G-protein-coupled receptors(3,4). These receptors have pivotal roles in shaping host innate immune responses(1,5). However, the effect of this host-microorganism biliary network on the adaptive immune system remains poorly characterized. Here we report that both dietary and microbial factors influence the composition of the gut BA pool and modulate an important population of colonic FOXP3(+) regulatory T (T-reg) cells expressing the transcription factor ROR gamma. Genetic abolition of BA metabolic pathways in individual gut symbionts significantly decreases this T-reg cell population. Restoration of the intestinal BA pool increases colonic ROR gamma(+) T-reg cell counts and ameliorates host susceptibility to inflammatory colitis via BA nuclear receptors. Thus, a pan-genomic biliary network interaction between hosts and their bacterial symbionts can control host immunological homeostasis via the resulting metabolites.


  
Integrating data mining and transmission theory in the ecology of infectious diseases 期刊论文
ECOLOGY LETTERS, 2020, 23 (8) : 1178-1188
作者:  Han, Barbara A.;  39;Regan, Suzanne M.
收藏  |  浏览/下载:8/0  |  提交时间:2020/05/25
Boosted regression  disease dynamics  disease macroecology  pathogen transmission  random forest  statistical learning  zoonosis  zoonotic spillover