Institution
University of California, Davis
Education•Davis, California, United States•
About: University of California, Davis is a education organization based out in Davis, California, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 78770 authors who have published 180033 publications receiving 8064158 citations. The organization is also known as: UC Davis & UCD.
Topics: Population, Poison control, Gene, Galaxy, Genome
Papers published on a yearly basis
Papers
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TL;DR: This paper developed a multi-period market model describing both the process by which traders learn about their ability and how a bias in this learning can create overconfident traders, and analyzed the patterns in trading volume, expected profits, price volatility, and expected prices resulting from this endogenous overconfidence.
Abstract: We develop a multiperiod market model describing both the process by which traders learn about their ability and how a bias in this learning can create overconfident traders. A trader in our model initially does not know his own ability. He infers this ability from his successes and failures. In assessing his ability the trader takes too much credit for his successes. This leads him to become overconfident. A trader’s expected level of overconfidence increases in the early stages of his career. Then, with more experience, he comes to better recognize his own ability. The patterns in trading volume, expected profits, price volatility, and expected prices resulting from this endogenous overconfidence are analyzed.
1,160 citations
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TL;DR: Direct comparison of PLFA and substrate utilization patterns indicated that Biolog patterns are highly selective, and do not reflect compositional changes in soil communities.
Abstract: Phospholipid fatty acid (PLFA) profiles provide a robust measure that can be used to fingerprint the structure of soil microbial communities, and measure their biomass. A replicated field trial, with gradients in substrate and O2 availability created by straw incorporation and flooding was used to test the ability of PLFA to discriminate soil microbial communities in different management regimes. Another objective was to test the usefulness, on a large scale, of some of the proposed interpretations of PLFA biomarkers. Using a direct gradient statistical analysis method, PLFA profiles were found to be very sensitive to flooding and straw treatments. Relative abundances of monounsaturated fatty acids were reduced with flooding and increased with added carbon, consistent with their proposed interpretations as indicators of aerobic conditions and high substrate availability. The cyclopropyl fatty acids were not useful as taxonomic indicators of respiratory type, although their responses were consistent with their proposed use as growth condition indicators. Branched fatty acids decreased, as a group, in response to high substrate conditions. A specific biomarker for Type II methanotrophs was not found in this rice soil, even under high carbon, low O2 conditions, which resulted in methane exposure in the soil. Direct comparison of PLFA and substrate utilization patterns indicated that Biolog patterns are highly selective, and do not reflect compositional changes in soil communities.
1,159 citations
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TL;DR: The current understanding of how plants use root exudates to modify rhizosphere pH and the potential benefits associated with such processes are assessed are assessed in this review.
Abstract: Plant developmental processes are controlled by internal signals that depend on the adequate supply of mineral nutrients by soil to roots. Thus, the availability of nutrient elements can be a major constraint to plant growth in many environments of the world, especially the tropics where soils are extremely low in nutrients. Plants take up most mineral nutrients through the rhizosphere where micro-organisms interact with plant products in root exudates. Plant root exudates consist of a complex mixture of organic acid anions, phytosiderophores, sugars, vitamins, amino acids, purines, nucleosides, inorganic ions (e.g. HCO3−, OH−, H+), gaseous molecules (CO2, H2), enzymes and root border cells which have major direct or indirect effects on the acquisition of mineral nutrients required for plant growth. Phenolics and aldonic acids exuded directly by roots of N2-fixing legumes serve as major signals to Rhizobiaceae bacteria which form root nodules where N2 is reduced to ammonia. Some of the same compounds affect development of mycorrhizal fungi that are crucial for phosphate uptake. Plants growing in low-nutrient environments also employ root exudates in ways other than as symbiotic signals to soil microbes involved in nutrient procurement. Extracellular enzymes release P from organic compounds, and several types of molecules increase iron availability through chelation. Organic acids from root exudates can solubilize unavailable soil Ca, Fe and Al phosphates. Plants growing on nitrate generally maintain electronic neutrality by releasing an excess of anions, including hydroxyl ions. Legumes, which can grow well without nitrate through the benefits of N2 reduction in the root nodules, must release a net excess of protons. These protons can markedly lower rhizosphere pH and decrease the availability of some mineral nutrients as well as the effective functioning of some soil bacteria, such as the rhizobial bacteria themselves. Thus, environments which are naturally very acidic can pose a challenge to nutrient acquisition by plant roots, and threaten the survival of many beneficial microbes including the roots themselves. A few plants such as Rooibos tea (Aspalathus linearis L.) actively modify their rhizosphere pH by extruding OH− and HCO3− to facilitate growth in low pH soils (pH 3 – 5). Our current understanding of how plants use root exudates to modify rhizosphere pH and the potential benefits associated with such processes are assessed in this review.
1,156 citations
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TL;DR: The FiehnLib libraries can be used in conjunction with GC/MS software but also support compound identification in the public BinBase metabolomic database that currently comprises 5598 unique mass spectra generated from 19,032 samples covering 279 studies of 47 species.
Abstract: At least two independent parameters are necessary for compound identification in metabolomics. We have compiled 2 212 electron impact mass spectra and retention indices for quadrupole and time-of-flight gas chromatography/mass spectrometry (GC/MS) for over 1 000 primary metabolites below 550 Da, covering lipids, amino acids, fatty acids, amines, alcohols, sugars, amino-sugars, sugar alcohols, sugar acids, organic phosphates, hydroxyl acids, aromatics, purines, and sterols as methoximated and trimethylsilylated mass spectra under electron impact ionization. Compounds were selected from different metabolic pathway databases. The structural diversity of the libraries was found to be highly overlapping with metabolites represented in the BioMeta/KEGG pathway database using chemical fingerprints and calculations using Instant-JChem. In total, the FiehnLib libraries comprised 68% more compounds and twice as many spectra with higher spectral diversity than the public Golm Metabolite Database. A range of unique c...
1,153 citations
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University of Minnesota1, Centre national de la recherche scientifique2, Institut national de la recherche agronomique3, John Innes Centre4, Laboratory of Molecular Biology5, Iowa State University6, Agricultural Research Service7, West Virginia University8, University of Bonn9, Ghent University10, University of California, Davis11, Delaware Biotechnology Institute12, J. Craig Venter Institute13, University of Wisconsin-Madison14, National Center for Genome Resources15, King Saud University16, University of Oklahoma17, Cornell University18, Max Planck Society19, Wellcome Trust20, International Institute of Minnesota21, Rural Development Administration22, Carleton College23, Norwich Research Park24
TL;DR: The draft sequence of the M. truncatula genome sequence is described, a close relative of alfalfa (Medicago sativa), a widely cultivated crop with limited genomics tools and complex autotetraploid genetics, which provides significant opportunities to expand al falfa’s genomic toolbox.
Abstract: Legumes (Fabaceae or Leguminosae) are unique among cultivated plants for their ability to carry out endosymbiotic nitrogen fixation with rhizobial bacteria, a process that takes place in a specialized structure known as the nodule. Legumes belong to one of the two main groups of eurosids, the Fabidae, which includes most species capable of endosymbiotic nitrogen fixation. Legumes comprise several evolutionary lineages derived from a common ancestor 60 million years ago (Myr ago). Papilionoids are the largest clade, dating nearly to the origin of legumes and containing most cultivated species. Medicago truncatula is a long-established model for the study of legume biology. Here we describe the draft sequence of the M. truncatula euchromatin based on a recently completed BAC assembly supplemented with Illumina shotgun sequence, together capturing ∼94% of all M. truncatula genes. A whole-genome duplication (WGD) approximately 58 Myr ago had a major role in shaping the M. truncatula genome and thereby contributed to the evolution of endosymbiotic nitrogen fixation. Subsequent to the WGD, the M. truncatula genome experienced higher levels of rearrangement than two other sequenced legumes, Glycine max and Lotus japonicus. M. truncatula is a close relative of alfalfa (Medicago sativa), a widely cultivated crop with limited genomics tools and complex autotetraploid genetics. As such, the M. truncatula genome sequence provides significant opportunities to expand alfalfa's genomic toolbox.
1,153 citations
Authors
Showing all 79538 results
Name | H-index | Papers | Citations |
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Eric S. Lander | 301 | 826 | 525976 |
Ronald C. Kessler | 274 | 1332 | 328983 |
George M. Whitesides | 240 | 1739 | 269833 |
Ronald M. Evans | 199 | 708 | 166722 |
Virginia M.-Y. Lee | 194 | 993 | 148820 |
Scott M. Grundy | 187 | 841 | 231821 |
Julie E. Buring | 186 | 950 | 132967 |
Patrick O. Brown | 183 | 755 | 200985 |
Anil K. Jain | 183 | 1016 | 192151 |
John C. Morris | 183 | 1441 | 168413 |
Douglas R. Green | 182 | 661 | 145944 |
John R. Yates | 177 | 1036 | 129029 |
Barry Halliwell | 173 | 662 | 159518 |
Roderick T. Bronson | 169 | 679 | 107702 |
Hongfang Liu | 166 | 2356 | 156290 |