Institution
University of Colorado Boulder
Education•Boulder, Colorado, United States•
About: University of Colorado Boulder is a education organization based out in Boulder, Colorado, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 48794 authors who have published 115151 publications receiving 5387328 citations. The organization is also known as: CU Boulder & UCB.
Topics: Population, Galaxy, Context (language use), Poison control, Stars
Papers published on a yearly basis
Papers
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TL;DR: The results suggested that seasonal changes in environmental variables are more important than trophic interactions, and correlations in abundance were stronger within bacterial taxa rather than between bacteria and eukaryotes, or betweenacteria and environmental variables.
Abstract: Here we describe, the longest microbial time-series analyzed to date using high-resolution 16S rRNA tag pyrosequencing of samples taken monthly over 6 years at a temperate marine coastal site off Plymouth, UK. Data treatment effected the estimation of community richness over a 6-year period, whereby 8794 operational taxonomic units (OTUs) were identified using single-linkage preclustering and 21 130 OTUs were identified by denoising the data. The Alphaproteobacteria were the most abundant Class, and the most frequently recorded OTUs were members of the Rickettsiales (SAR 11) and Rhodobacteriales. This near-surface ocean bacterial community showed strong repeatable seasonal patterns, which were defined by winter peaks in diversity across all years. Environmental variables explained far more variation in seasonally predictable bacteria than did data on protists or metazoan biomass. Change in day length alone explains >65% of the variance in community diversity. The results suggested that seasonal changes in environmental variables are more important than trophic interactions. Interestingly, microbial association network analysis showed that correlations in abundance were stronger within bacterial taxa rather than between bacteria and eukaryotes, or between bacteria and environmental variables.
800 citations
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VU University Amsterdam1, Erasmus University Rotterdam2, Karolinska Institutet3, Charité4, Virginia Commonwealth University5, South London and Maudsley NHS Foundation Trust6, QIMR Berghofer Medical Research Institute7, King's College London8, University of Southern Denmark9, University of California, Riverside10, University of Southern California11, University of Minnesota12, University of Queensland13, University College London14, Johns Hopkins University15, University of California, Los Angeles16, University of Crete17, Harvard University18, Veterans Health Administration19, Icahn School of Medicine at Mount Sinai20, Yale University21, Haukeland University Hospital22, Trinity College, Dublin23, University of Edinburgh24, Hofstra University25, North Shore-LIJ Health System26, National Institutes of Health27, University of Bergen28, Oslo University Hospital29, National University of Ireland, Galway30, University of Helsinki31, University of Oslo32, Martin Luther University of Halle-Wittenberg33, Duke University34, National and Kapodistrian University of Athens35, Mental Health Research Institute36, University of Colorado Boulder37, Imperial College London38, University of Manchester39, Wellcome Trust40, Manchester Academic Health Science Centre41, Stanford University42, University of Oregon43, University of Toronto44, University of Michigan45, Erasmus University Medical Center46, Broad Institute47, University of North Carolina at Chapel Hill48
TL;DR: A large-scale genetic association study of intelligence identifies 190 new loci and implicates 939 new genes related to neurogenesis, neuron differentiation and synaptic structure, a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.
Abstract: Intelligence is highly heritable1 and a major determinant of human health and well-being2. Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.
800 citations
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TL;DR: In this article, the authors demonstrate that there is a correlation between the arrival directions of cosmic rays with energy above 6 x 10{sup 19} eV and the positions of active galactic nuclei lying within 75 Mpc.
Abstract: Using data collected at the Pierre Auger Observatory during the past 3.7 years, we demonstrate that there is a correlation between the arrival directions of cosmic rays with energy above {approx} 6 x 10{sup 19} eV and the positions of active galactic nuclei (AGN) lying within {approx} 75 Mpc. We reject the hypothesis of an isotropic distribution of these cosmic rays at over 99% confidence level from a prescribed a priori test. The correlation we observe is compatible with the hypothesis that the highest energy particles originate from nearby extragalactic sources whose flux has not been significantly reduced by interaction with the cosmic background radiation. AGN or objects having a similar spatial distribution are possible sources.
798 citations
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University College London1, International Institute for Applied Systems Analysis2, University of Reading3, Brighton and Sussex Medical School4, University of London5, Cooperative Institute for Research in Environmental Sciences6, Umeå University7, Tsinghua University8, Cardiff University9, University of Geneva10, University of New England (United States)11, University of Birmingham12, Yale University13, University of Washington14, Northeastern University15, Virginia Tech16, University of York17, Cayetano Heredia University18, University of Sussex19, Nelson Marlborough Institute of Technology20, Emory University21, Columbia University22, Centre for Environment, Fisheries and Aquaculture Science23, Babson College24, Iran University of Medical Sciences25, University of Exeter26, Imperial College London27, University of Colorado Boulder28, Griffith University29, University of Aberdeen30, European Centre for Disease Prevention and Control31, Universiti Teknologi MARA32, Atlantic Oceanographic and Meteorological Laboratory33
TL;DR: The 2019 report of The Lancet Countdown on health and climate change : ensuring that the health of a child born today is not defined by a changing climate is ensured.
794 citations
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TL;DR: Parasitism is the most common consumer strategy among organisms, yet only recently has there been a call for the inclusion of infectious disease agents in food webs, and the value of this effort hinges on whether parasites affect food-web properties.
Abstract: Parasitism is the most common consumer strategy among organisms, yet only recently has there been a call for the inclusion of infectious disease agents in food webs. The value of this effort hinges on whether parasites affect food-web properties. Increasing evidence suggests that parasites have the potential to uniquely alter food-web topology in terms of chain length, connectance and robustness. In addition, parasites might affect food-web stability, interaction strength and energy flow. Food-web structure also affects infectious disease dynamics because parasites depend on the ecological networks in which they live. Empirically, incorporating parasites into food webs is straightforward. We may start with existing food webs and add parasites as nodes, or we may try to build food webs around systems for which we already have a good understanding of infectious processes. In the future, perhaps researchers will add parasites while they construct food webs. Less clear is how food-web theory can accommodate parasites. This is a deep and central problem in theoretical biology and applied mathematics. For instance, is representing parasites with complex life cycles as a single node equivalent to representing other species with ontogenetic niche shifts as a single node? Can parasitism fit into fundamental frameworks such as the niche model? Can we integrate infectious disease models into the emerging field of dynamic food-web modelling? Future progress will benefit from interdisciplinary collaborations between ecologists and infectious disease biologists.
793 citations
Authors
Showing all 49233 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
Robert J. Lefkowitz | 214 | 860 | 147995 |
Rob Knight | 201 | 1061 | 253207 |
Charles A. Dinarello | 190 | 1058 | 139668 |
Jie Zhang | 178 | 4857 | 221720 |
David Haussler | 172 | 488 | 224960 |
Bradley Cox | 169 | 2150 | 156200 |
Gang Chen | 167 | 3372 | 149819 |
Rodney S. Ruoff | 164 | 666 | 194902 |
Menachem Elimelech | 157 | 547 | 95285 |
Jay Hauser | 155 | 2145 | 132683 |
Robert E. W. Hancock | 152 | 775 | 88481 |
Robert Plomin | 151 | 1104 | 88588 |
Thomas E. Starzl | 150 | 1625 | 91704 |
Rajesh Kumar | 149 | 4439 | 140830 |