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The Fish Microbiota:Research Progress and Potential Applications

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Engineering 2023年第10期29卷 137-146页

作者： Yinyin Luan Ming Li Wei Zhou Yuanyuan Yao Yalin Yang Zhen Zhang Einar Ringø rolf erik olsen Jihong Liu Clarke Shouqi Xie Kangsen Mai Chao Ran Zhigang Zhou China–Norway Joint Lab on Fish Gastrointestinal Microbiota Institute of Feed ResearchChinese Academy of Agricultural SciencesBeijing 100081China Biotechnology of the Ministry of Agriculture and Rural Affairs Institute of Feed ResearchChinese Academy of Agricultural SciencesBeijing 100081China Norway–China Joint Lab on Fish Gastrointestinal Microbiota Institute of BiologyNorwegian University of Science and TechnologyTrondheim 7491Norway NIBIO Norwegian Institute of Bioeconomy ResearchÅs 1431Norway State Key Laboratory of Freshwater Ecology and Biotechnology Institute of HydrobiologyChinese Academy of SciencesWuhan 430072China University of Chinese Academy of Sciences Beijing 100049China The Innovative Academy of Seed Design Chinese Academy of SciencesBeijing 100101China Hubei Engineering Research Center for Aquatic Animal Nutrition and Feed Wuhan 430072China The Key Laboratory of Mariculture(Ministry of Education) Ocean University of ChinaQingdao 266003China

The gut microbiota plays an important role in host health and *** understanding of the fish microbiota lags far behind our knowledge of that of humans and other ***,research has highlighted the importance of the microbiota in the health,performance,and various physiological functions of *** microbiota has been studied in various fish species,including model animals,economic fish,and wild fish *** composition of the fish microbiota depends on host selection,diet,and environmental *** intestinal microbiota affects the nutritional metabolism,immunity,and disease resistance of the fish host,while the host regulates the intestinal microbiota in a reciprocal way through both immune and non-immune *** and novel gnotobiotic fish models have been developed,which are important for the mechanistic study of host–microbiota interactions in *** this review,we discuss recent progress in fish microbiota *** describe various aspects of this research,including both studies on fish microbiota variations and fundamental research extending our knowledge of host–microbiota interaction in *** on how fish microbiota research may benefit fish health and industrial sustainability are also discussed.

关键词： Gut microbiota Fish Host-microbiota interaction Aquaculture

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鱼虾肠道菌群代谢产物短链脂肪酸研究进展

生物技术通报 2020年第2期36卷 58-64页

作者：刘宇丁倩雯冉超杨雅麟王安然张洪玲张进雄李解 rolf erik olsen Einar Ringø 张震周志刚中国-挪威鱼类消化道微生物联合实验室北京100081 中国农业科学院饲料研究所农业部饲料生物技术重点实验室北京100081 挪威-中国鱼类消化道微生物联合实验室特隆赫姆挪威北京市畜牧业环境监测站北京102200

短链脂肪酸(Short-chain fatty acids,SCFAs)是指碳链中碳原子数量小于6个的有机脂肪酸,主要由食物中不消化的碳水化合物在体内经厌氧菌酵解生成,主要包括乙酸、丙酸、丁酸等。随着消化道微生物研究的不断深入,肠道微生物代谢产物-短链... 详细信息

短链脂肪酸(Short-chain fatty acids,SCFAs)是指碳链中碳原子数量小于6个的有机脂肪酸,主要由食物中不消化的碳水化合物在体内经厌氧菌酵解生成,主要包括乙酸、丙酸、丁酸等。随着消化道微生物研究的不断深入,肠道微生物代谢产物-短链脂肪酸也被报道出具有重要的生理功能。主要综述了短链脂肪酸在水产动物营养代谢和免疫抗病上的作用,并对水产动物短链脂肪酸的研究短板进行了展望,以期推进水产动物短链脂肪酸的研究进程及实际应用。

关键词：短链脂肪酸消化道微生物调控

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COMPUTERS ARE COMING OF AGE IN ORGANIC SYNTHESIS

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分子科学学报 1983年第2期 95-116页

作者： rolf Carlson Christer Albano Lars-Gunnar Hammarstràm erik Johansson àsa Nilsson Robert E.Carter Department of Chemistry Umeà University Organic Chemistry 2 Chemical Center University of Lund

The synthesis of complicated molecules is a fascinating and challenging fieldof research in organic *** ideal synthesis conld be described as shownin Figure ***,ideal syntheses are very *** Often the tatget

关键词：分子科学化学研究 COMPUTERS ARE COMING OF AGE IN ORGANIC SYNTHESIS

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

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npj Computational Materials 2020年第1期6卷 1592-1600页

作者： Zekun Ren Felipe Oviedo Maung Thway Siyu I.P.Tian Yue Wang Hansong Xue Jose Dario Perea Mariya Layurova Thomas Heumueller erik Birgersson Armin G.Aberle Christoph J.Brabec rolf Stangl Qianxiao Li Shijing Sun Fen Lin Ian Marius Peters Tonio Buonassisi Singapore-MIT Alliance for Research and Technology SMART Singapore 138602Singapore Solar Energy Research Institute of Singapore(SERIS) National University of SingaporeSingapore 117574Singapore Massachusetts Institute of Technology CambridgeMA 02139USA Institute of Materials for Electronics and Energy Technology(i-MEET) Friedrich-Alexander University Erlangen-Nürnberg91058 ErlangenGermany Helmholtz Institute HI-ErN Forschungszentrum JülichImmerwahrstrasse 291058 ErlangenGermany National University of Singapore Singapore 119077Singapore

Process optimization of photovoltaic devices is a time-intensive,trial-and-error endeavor,which lacks full transparency of the underlying physics and relies on user-imposed constraints that may or may not lead to a global ***,we demonstrate that embedding physics domain knowledge into a Bayesian network enables an optimization approach for gallium arsenide(GaAs)solar cells that identifies the root cause(s)of underperformance with layer-by-layer resolution and reveals alternative optimal process windows beyond traditional black-box *** Bayesian network approach links a key GaAs process variable(growth temperature)to material descriptors(bulk and interface properties,e.g.,bulk lifetime,doping,and surface recombination)and device performance parameters(e.g.,cell efficiency).For this purpose,we combine a Bayesian inference framework with a neural network surrogate device-physics model that is 100×faster than numerical *** the trained surrogate model and only a small number of experimental samples,our approach reduces significantly the time-consuming intervention and characterization required by the *** a demonstration of our method,in only five metal organic chemical vapor depositions,we identify a superior growth temperature profile for the window,bulk,and back surface field layer of a GaAs solar cell,without any secondary measurements,and demonstrate a 6.5%relative AM1.5G efficiency improvement above traditional grid search methods.

关键词： knowledge network enable

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鱼类肠道菌群研究进展及潜在应用（英文）

Engineering 2023年第10期 137-146页

作者： Yinyin Luan Ming Li Wei Zhou Yuanyuan Yao Yalin Yang Zhen Zhang Einar Ring? rolf erik olsen Jihong Liu Clarke Shouqi Xie Kangsen Mai Chao Ran Zhigang Zhou China-Norway Joint Lab on Fish Gastrointestinal Microbiota Institute of Feed Research Chinese Academy of Agricultural Sciences Biotechnology of the Ministry of Agriculture and Rural Affairs Institute of Feed Research Chinese Academy of Agricultural Sciences Norway-China Joint Lab on Fish Gastrointestinal Microbiota Institute of Biology Norwegian University of Science and Technology NIBIO Norwegian Institute of Bioeconomy Research State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences University of Chinese Academy of Sciences The Innovative Academy of Seed Design Chinese Academy of Sciences Hubei Engineering Research Center for Aquatic Animal Nutrition and Feed The Key Laboratory of Mariculture(Ministry of Education) Ocean University of China

The gut microbiota plays an important role in host health and disease. Our understanding of the fish microbiota lags far behind our knowledge of that of humans and other mammals. Nevertheless, research has highlighted the importance of the microbiota in the health, performance, and various physiological functions of fish. The microbiota has been studied in various fish species, including model animals, economic fish, and wild fish species. The composition of the fish microbiota depends on host selection, diet,and environmental factors. The intestinal microbiota affects the nutritional metabolism, immunity, and disease resistance of the fish host, while the host regulates the intestinal microbiota in a reciprocal way through both immune and non-immune factors. Improved and novel gnotobiotic fish models have been developed, which are important for the mechanistic study of host–microbiota interactions in *** this review, we discuss recent progress in fish microbiota research. We describe various aspects of this research, including both studies on fish microbiota variations and fundamental research extending our knowledge of host–microbiota interaction in fish. Perspectives on how fish microbiota research may benefit fish health and industrial sustainability are also discussed.

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Author Correction:Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

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npj Computational Materials 2020年第1期6卷 955-955页

作者： Zekun Ren Felipe Oviedo Maung Thway Siyu I.P.Tian Yue Wang Hansong Xue Jose Dario Perea Mariya Layurova Thomas Heumueller erik Birgersson Armin G.Aberle Christoph J.Brabec rolf Stangl Qianxiao Li Shijing Sun Fen Lin Ian Marius Peters Tonio Buonassisi Singapore-MIT Alliance for Research and Technology SMART Singapore Singapore Solar Energy Research Institute of Singapore (SERIS) National University of Singapore Singapore Singapore Massachusetts Institute of Technology Cambridge USA Institute of Materials for Electronics and Energy Technology (i-MEET) Friedrich-Alexander University Erlangen-Nürnberg Erlangen Germany Helmholtz Institute HI-ErN Forschungszentrum Jülich Erlangen Germany National University of Singapore Singapore Singapore

In the original version of the published Article,there was ambiguity in Eq.(1).To improve clarity,Eq.(1)has been corrected to the following.

关键词： enable corrected ambiguity