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Institution

University of California, Davis

EducationDavis, 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
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Journal ArticleDOI
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

Journal ArticleDOI
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

Book ChapterDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
Nevin D. Young1, Frédéric Debellé2, Frédéric Debellé3, Giles E. D. Oldroyd4, René Geurts5, Steven B. Cannon6, Steven B. Cannon7, Michael K. Udvardi, Vagner A. Benedito8, Klaus F. X. Mayer, Jérôme Gouzy2, Jérôme Gouzy3, Heiko Schoof9, Yves Van de Peer10, Sebastian Proost10, Douglas R. Cook11, Blake C. Meyers12, Manuel Spannagl, Foo Cheung13, Stéphane De Mita5, Vivek Krishnakumar13, Heidrun Gundlach, Shiguo Zhou14, Joann Mudge15, Arvind K. Bharti15, Jeremy D. Murray4, Marina Naoumkina, Benjamin D. Rosen11, Kevin A. T. Silverstein1, Haibao Tang13, Stephane Rombauts10, Patrick X. Zhao, Peng Zhou1, Valérie Barbe, Philippe Bardou3, Philippe Bardou2, Michael Bechner14, Arnaud Bellec3, Anne Berger, Hélène Bergès3, Shelby L. Bidwell13, Ton Bisseling16, Ton Bisseling5, Nathalie Choisne, Arnaud Couloux, Roxanne Denny1, Shweta Deshpande17, Xinbin Dai, Jeff J. Doyle18, Anne Marie Dudez2, Anne Marie Dudez3, Andrew Farmer15, Stéphanie Fouteau, Carolien Franken5, Chrystel Gibelin2, Chrystel Gibelin3, John Gish11, Steven A. Goldstein14, Alvaro J. González12, Pamela J. Green12, Asis Hallab19, Marijke Hartog5, Axin Hua17, Sean Humphray20, Dong-Hoon Jeong12, Yi Jing17, Anika Jöcker19, Steve Kenton17, Dong-Jin Kim11, Dong-Jin Kim21, Kathrin Klee19, Hongshing Lai17, Chunting Lang5, Shaoping Lin17, Simone L. Macmil17, Ghislaine Magdelenat, Lucy Matthews20, Jamison McCorrison13, Erin L. Monaghan13, Jeong Hwan Mun22, Jeong Hwan Mun11, Fares Z. Najar17, Christine Nicholson20, Céline Noirot3, Majesta O'Bleness17, Charles Paule1, Julie Poulain, Florent Prion3, Florent Prion2, Baifang Qin17, Chunmei Qu17, Ernest F. Retzel15, Claire Riddle20, Erika Sallet2, Erika Sallet3, Sylvie Samain, Nicolas Samson2, Nicolas Samson3, Iryna Sanders17, Olivier Saurat2, Olivier Saurat3, Claude Scarpelli, Thomas Schiex3, Béatrice Segurens, Andrew J. Severin6, D. Janine Sherrier12, Ruihua Shi17, Sarah Sims20, Susan R. Singer23, Senjuti Sinharoy, Lieven Sterck10, Agnès Viollet, Bing Bing Wang1, Keqin Wang17, Mingyi Wang, Xiaohong Wang1, Jens Warfsmann19, Jean Weissenbach, Doug White17, James D. White17, Graham B. Wiley17, Patrick Wincker, Yanbo Xing17, Limei Yang17, Ziyun Yao17, Fu Ying17, Jixian Zhai12, Liping Zhou17, Antoine Zuber3, Antoine Zuber2, Jean Dénarié3, Jean Dénarié2, Richard A. Dixon, Gregory D. May15, David C. Schwartz14, Jane Rogers24, Francis Quetier, Christopher D. Town13, Bruce A. Roe17 
22 Dec 2011-Nature
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

NameH-indexPapersCitations
Eric S. Lander301826525976
Ronald C. Kessler2741332328983
George M. Whitesides2401739269833
Ronald M. Evans199708166722
Virginia M.-Y. Lee194993148820
Scott M. Grundy187841231821
Julie E. Buring186950132967
Patrick O. Brown183755200985
Anil K. Jain1831016192151
John C. Morris1831441168413
Douglas R. Green182661145944
John R. Yates1771036129029
Barry Halliwell173662159518
Roderick T. Bronson169679107702
Hongfang Liu1662356156290
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023262
20221,122
20218,398
20208,661
20198,165
20187,556