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Institution

University of Copenhagen

EducationCopenhagen, Denmark
About: University of Copenhagen is a education organization based out in Copenhagen, Denmark. It is known for research contribution in the topics: Population & Galaxy. The organization has 57645 authors who have published 149740 publications receiving 5903093 citations. The organization is also known as: Copenhagen University & Københavns Universitet.


Papers
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Journal ArticleDOI
TL;DR: A main objective of this review is to endorse the view that the glutamate/GABA‐glutamine cycle must be seen as a bi‐directional transfer of not only carbon units but also nitrogen units.
Abstract: Neurons are metabolically handicapped in the sense that they are not able to perform de novo synthesis of neurotransmitter glutamate and γ-aminobutyric acid (GABA) from glucose. A metabolite shuttle known as the glutamate/GABA-glutamine cycle describes the release of neurotransmitter glutamate or GABA from neurons and subsequent uptake into astrocytes. In return, astrocytes release glutamine to be taken up into neurons for use as neurotransmitter precursor. In this review, the basic properties of the glutamate/GABA-glutamine cycle will be discussed, including aspects of transport and metabolism. Discussions of stoichiometry, the relative role of glutamate vs. GABA and pathological conditions affecting the glutamate/GABA-glutamine cycling are presented. Furthermore, a section is devoted to the accompanying ammonia homeostasis of the glutamate/GABA-glutamine cycle, examining the possible means of intercellular transfer of ammonia produced in neurons (when glutamine is deamidated to glutamate) and utilized in astrocytes (for amidation of glutamate) when the glutamate/GABA-glutamine cycle is operating. A main objective of this review is to endorse the view that the glutamate/GABA-glutamine cycle must be seen as a bi-directional transfer of not only carbon units but also nitrogen units.

877 citations

Journal ArticleDOI
TL;DR: Emergent trends and gaps in understanding are identified, new approaches to more fully integrate genomics into speciation research are proposed, and an integrative definition of the field of speciation genomics is provided.
Abstract: Speciation is a fundamental evolutionary process, the knowledge of which is crucial for understanding the origins of biodiversity. Genomic approaches are an increasingly important aspect of this research field. We review current understanding of genome-wide effects of accumulating reproductive isolation and of genomic properties that influence the process of speciation. Building on this work, we identify emergent trends and gaps in our understanding, propose new approaches to more fully integrate genomics into speciation research, translate speciation theory into hypotheses that are testable using genomic tools and provide an integrative definition of the field of speciation genomics.

875 citations

Posted ContentDOI
Evan Bolyen1, Jai Ram Rideout1, Matthew R. Dillon1, Nicholas A. Bokulich1, Christian C. Abnet, Gabriel A. Al-Ghalith2, Harriet Alexander3, Harriet Alexander4, Eric J. Alm5, Manimozhiyan Arumugam6, Francesco Asnicar7, Yang Bai8, Jordan E. Bisanz9, Kyle Bittinger10, Asker Daniel Brejnrod6, Colin J. Brislawn11, C. Titus Brown4, Benjamin J. Callahan12, Andrés Mauricio Caraballo-Rodríguez13, John Chase1, Emily K. Cope1, Ricardo Silva13, Pieter C. Dorrestein13, Gavin M. Douglas14, Daniel M. Durall15, Claire Duvallet5, Christian F. Edwardson16, Madeleine Ernst13, Mehrbod Estaki15, Jennifer Fouquier17, Julia M. Gauglitz13, Deanna L. Gibson15, Antonio Gonzalez18, Kestrel Gorlick1, Jiarong Guo19, Benjamin Hillmann2, Susan Holmes20, Hannes Holste18, Curtis Huttenhower21, Curtis Huttenhower22, Gavin A. Huttley23, Stefan Janssen24, Alan K. Jarmusch13, Lingjing Jiang18, Benjamin D. Kaehler23, Kyo Bin Kang25, Kyo Bin Kang13, Christopher R. Keefe1, Paul Keim1, Scott T. Kelley26, Dan Knights2, Irina Koester18, Irina Koester13, Tomasz Kosciolek18, Jorden Kreps1, Morgan G. I. Langille14, Joslynn S. Lee27, Ruth E. Ley28, Ruth E. Ley29, Yong-Xin Liu8, Erikka Loftfield, Catherine A. Lozupone17, Massoud Maher18, Clarisse Marotz18, Bryan D Martin30, Daniel McDonald18, Lauren J. McIver21, Lauren J. McIver22, Alexey V. Melnik13, Jessica L. Metcalf31, Sydney C. Morgan15, Jamie Morton18, Ahmad Turan Naimey1, Jose A. Navas-Molina18, Jose A. Navas-Molina32, Louis-Félix Nothias13, Stephanie B. Orchanian18, Talima Pearson1, Samuel L. Peoples30, Samuel L. Peoples33, Daniel Petras13, Mary L. Preuss34, Elmar Pruesse17, Lasse Buur Rasmussen6, Adam R. Rivers35, Ii Michael S Robeson36, Patrick Rosenthal34, Nicola Segata7, Michael Shaffer17, Arron Shiffer1, Rashmi Sinha, Se Jin Song18, John R. Spear37, Austin D. Swafford18, Luke R. Thompson38, Luke R. Thompson39, Pedro J. Torres26, Pauline Trinh30, Anupriya Tripathi13, Anupriya Tripathi18, Peter J. Turnbaugh9, Sabah Ul-Hasan40, Justin J. J. van der Hooft41, Fernando Vargas18, Yoshiki Vázquez-Baeza18, Emily Vogtmann, Max von Hippel42, William A. Walters29, Yunhu Wan, Mingxun Wang13, Jonathan Warren43, Kyle C. Weber35, Kyle C. Weber44, Chase Hd Williamson1, Amy D. Willis30, Zhenjiang Zech Xu18, Jesse R. Zaneveld30, Yilong Zhang45, Rob Knight18, J. Gregory Caporaso1 
24 Oct 2018-PeerJ
TL;DR: QIIME 2 provides new features that will drive the next generation of microbiome research, including interactive spatial and temporal analysis and visualization tools, support for metabolomics and shotgun metagenomics analysis, and automated data provenance tracking to ensure reproducible, transparent microbiome data science.
Abstract: We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the microbiome research ecosystem, from scientists and engineers to clinicians and policy makers. QIIME 2 provides new features that will drive the next generation of microbiome research. These include interactive spatial and temporal analysis and visualization tools, support for metabolomics and shotgun metagenomics analysis, and automated data provenance tracking to ensure reproducible, transparent microbiome data science.

875 citations

Journal ArticleDOI
01 Jul 2012-Ecology
TL;DR: Critics of bioclimatic envelope models are reviewed to suggest that criticism has often been misplaced, resulting from confusion between what the models actually deliver and what users wish that they would express.
Abstract: Bioclimatic envelope models use associations between aspects of climate and species' occurrences to estimate the conditions that are suitable to maintain viable populations. Once bioclimatic envelopes are characterized, they can be applied to a variety of questions in ecology, evolution, and conservation. However, some have questioned the usefulness of these models, because they may be based on implausible assumptions or may be contradicted by empirical evidence. We review these areas of contention, and suggest that criticism has often been misplaced, resulting from confusion between what the models actually deliver and what users wish that they would express. Although improvements in data and methods will have some effect, the usefulness of these models is contingent on their appropriate use, and they will improve mainly via better awareness of their conceptual basis, strengths, and limitations.

873 citations

Journal ArticleDOI
TL;DR: The results obtained demonstrated the existence of a general positive, linear relationship between plant decomposition rates and nitrogen and phosphorus concentrations, and reflect the coupling of phosphorus and nitrogen in the basic biochemical processes of both plants and their microbial decomposers.
Abstract: The strength and generality of the relationship between decomposition rates and detritus carbon, nitrogen, and phosphorus concentrations was assessed by comparing published reports of decomposition rates of detritus of photosynthetic organisms, from unicellular algae to trees. The results obtained demonstrated the existence of a general positive, linear relationship between plant decomposition rates and nitrogen and phosphorus concentrations. Differences in the carbon, nitrogen, and phosphorus concentrations of plant detritus accounted for 89% of the variance in plant decomposition rates of detritus orginating from photosynthetic organisms ranging from unicellular microalgae to trees. The results also demonstrate that moist plant material decomposes substantially faster than dry material with similar nutrient concentrations. Consideration of lignin, instead of carbon, concentrations did not improve the relationships obtained. These results reflect the coupling of phosphorus and nitrogen in the basic biochemical processes of both plants and their microbial decomposers, and stress the importance of this coupling for carbon and nutrient flow in ecosystems.

872 citations


Authors

Showing all 58387 results

NameH-indexPapersCitations
Michael Karin236704226485
Matthias Mann221887230213
Peer Bork206697245427
Ronald Klein1941305149140
Kenneth S. Kendler1771327142251
Dorret I. Boomsma1761507136353
Ramachandran S. Vasan1721100138108
Unnur Thorsteinsdottir167444121009
Mika Kivimäki1661515141468
Jun Wang1661093141621
Anders Björklund16576984268
Gerald I. Shulman164579109520
Jaakko Kaprio1631532126320
Veikko Salomaa162843135046
Daniel J. Jacob16265676530
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023370
20221,266
202110,693
20209,956
20199,189
20188,620