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Institution

Smithsonian Institution

GovernmentWashington D.C., District of Columbia, United States
About: Smithsonian Institution is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 4373 authors who have published 10340 publications receiving 415783 citations. The organization is also known as: Smithsonian.


Papers
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Journal ArticleDOI
TL;DR: Among the regions of the ribosomal cistron, the internal transcribed spacer (ITS) region has the highest probability of successful identification for the broadest range of fungi, with the most clearly defined barcode gap between inter- and intraspecific variation.
Abstract: Six DNA regions were evaluated as potential DNA barcodes for Fungi, the second largest kingdom of eukaryotic life, by a multinational, multilaboratory consortium. The region of the mitochondrial cytochrome c oxidase subunit 1 used as the animal barcode was excluded as a potential marker, because it is difficult to amplify in fungi, often includes large introns, and can be insufficiently variable. Three subunits from the nuclear ribosomal RNA cistron were compared together with regions of three representative protein-coding genes (largest subunit of RNA polymerase II, second largest subunit of RNA polymerase II, and minichromosome maintenance protein). Although the protein-coding gene regions often had a higher percent of correct identification compared with ribosomal markers, low PCR amplification and sequencing success eliminated them as candidates for a universal fungal barcode. Among the regions of the ribosomal cistron, the internal transcribed spacer (ITS) region has the highest probability of successful identification for the broadest range of fungi, with the most clearly defined barcode gap between inter- and intraspecific variation. The nuclear ribosomal large subunit, a popular phylogenetic marker in certain groups, had superior species resolution in some taxonomic groups, such as the early diverging lineages and the ascomycete yeasts, but was otherwise slightly inferior to the ITS. The nuclear ribosomal small subunit has poor species-level resolution in fungi. ITS will be formally proposed for adoption as the primary fungal barcode marker to the Consortium for the Barcode of Life, with the possibility that supplementary barcodes may be developed for particular narrowly circumscribed taxonomic groups.

4,116 citations

Book
28 Jan 2010
TL;DR: Using molecular genetics in forensics and to understand species biology, the broader context: Population Viability Analysis (PVA) is examined.
Abstract: This impressive author team brings the wealth of advances in conservation genetics into the new edition of this introductory text, including new chapters on population genomics and genetic issues in introduced and invasive species. They continue the strong learning features for students - main points in the margin, chapter summaries, vital support with the mathematics, and further reading - and now guide the reader to software and databases. Many new references reflect the expansion of this field. With examples from mammals, birds, reptiles, fish, amphibians, plants and invertebrates, this is an ideal introduction to conservation genetics for a broad audience. The text tackles the quantitative aspects of conservation genetics, and has a host of pedagogy to support students learning the numerical side of the subject. Combined with being up-to-date, its user-friendly writing style and first-class illustration programme forms a robust teaching package.

3,613 citations

Journal ArticleDOI
TL;DR: PartitionFinder 2 is a program for automatically selecting best-fit partitioning schemes and models of evolution for phylogenetic analyses that includes the ability to analyze morphological datasets, new methods to analyze genome-scale datasets, and new output formats to facilitate interoperability with downstream software.
Abstract: PartitionFinder 2 is a program for automatically selecting best-fit partitioning schemes and models of evolution for phylogenetic analyses. PartitionFinder 2 is substantially faster and more efficient than version 1, and incorporates many new methods and features. These include the ability to analyze morphological datasets, new methods to analyze genome-scale datasets, new output formats to facilitate interoperability with downstream software, and many new models of molecular evolution. PartitionFinder 2 is freely available under an open source license and works on Windows, OSX, and Linux operating systems. It can be downloaded from www.robertlanfear.com/partitionfinder. The source code is available at https://github.com/brettc/partitionfinder.

3,445 citations

Journal ArticleDOI
TL;DR: The 2-locus combination of rbcL+matK will provide a universal framework for the routine use of DNA sequence data to identify specimens and contribute toward the discovery of overlooked species of land plants.
Abstract: DNA barcoding involves sequencing a standard region of DNA as a tool for species identification. However, there has been no agreement on which region(s) should be used for barcoding land plants. To provide a community recommendation on a standard plant barcode, we have compared the performance of 7 leading candidate plastid DNA regions (atpF–atpH spacer, matK gene, rbcL gene, rpoB gene, rpoC1 gene, psbK–psbI spacer, and trnH–psbA spacer). Based on assessments of recoverability, sequence quality, and levels of species discrimination, we recommend the 2-locus combination of rbcL+matK as the plant barcode. This core 2-locus barcode will provide a universal framework for the routine use of DNA sequence data to identify specimens and contribute toward the discovery of overlooked species of land plants.

2,255 citations

Journal ArticleDOI
Norman A. Grogin1, Dale D. Kocevski2, Sandra M. Faber2, Henry C. Ferguson1, Anton M. Koekemoer1, Adam G. Riess3, Viviana Acquaviva4, David M. Alexander5, Omar Almaini6, Matthew L. N. Ashby7, Marco Barden8, Eric F. Bell9, Frédéric Bournaud10, Thomas M. Brown1, Karina Caputi11, Stefano Casertano1, Paolo Cassata12, Marco Castellano, Peter Challis7, Ranga-Ram Chary13, Edmond Cheung2, Michele Cirasuolo14, Christopher J. Conselice6, Asantha Cooray15, Darren J. Croton16, Emanuele Daddi10, Tomas Dahlen1, Romeel Davé17, Duilia F. de Mello18, Duilia F. de Mello19, Avishai Dekel20, Mark Dickinson, Timothy Dolch3, Jennifer L. Donley1, James Dunlop11, Aaron A. Dutton21, David Elbaz10, Giovanni G. Fazio7, Alexei V. Filippenko22, Steven L. Finkelstein23, Adriano Fontana, Jonathan P. Gardner19, Peter M. Garnavich24, Eric Gawiser4, Mauro Giavalisco12, Andrea Grazian, Yicheng Guo12, Nimish P. Hathi25, Boris Häussler6, Philip F. Hopkins22, Jiasheng Huang26, Kuang-Han Huang1, Kuang-Han Huang3, Saurabh Jha4, Jeyhan S. Kartaltepe, Robert P. Kirshner7, David C. Koo2, Kamson Lai2, Kyoung-Soo Lee27, Weidong Li22, Jennifer M. Lotz1, Ray A. Lucas1, Piero Madau2, Patrick J. McCarthy25, Elizabeth J. McGrath2, Daniel H. McIntosh28, Ross J. McLure11, Bahram Mobasher29, Leonidas A. Moustakas13, Mark Mozena2, Kirpal Nandra30, Jeffrey A. Newman31, Sami Niemi1, Kai G. Noeske1, Casey Papovich23, Laura Pentericci, Alexandra Pope12, Joel R. Primack2, Abhijith Rajan1, Swara Ravindranath32, Naveen A. Reddy29, Alvio Renzini, Hans-Walter Rix30, Aday R. Robaina33, Steven A. Rodney3, David J. Rosario30, Piero Rosati34, S. Salimbeni12, Claudia Scarlata35, Brian Siana29, Luc Simard36, Joseph Smidt15, Rachel S. Somerville4, Hyron Spinrad22, Amber Straughn19, Louis-Gregory Strolger37, Olivia Telford31, Harry I. Teplitz13, Jonathan R. Trump2, Arjen van der Wel30, Carolin Villforth1, Risa H. Wechsler38, Benjamin J. Weiner17, Tommy Wiklind39, Vivienne Wild11, Grant W. Wilson12, Stijn Wuyts30, Hao Jing Yan40, Min S. Yun12 
TL;DR: The Cosmic Assembly Near-IR Deep Extragalactic Legacy Survey (CANDELS) as discussed by the authors was designed to document the first third of galactic evolution, from z approx. 8 - 1.5 to test their accuracy as standard candles for cosmology.
Abstract: The Cosmic Assembly Near-IR Deep Extragalactic Legacy Survey (CANDELS) is designed to document the first third of galactic evolution, from z approx. 8 - 1.5. It will image > 250,000 distant galaxies using three separate cameras on the Hubble Space Tele8cope, from the mid-UV to near-IR, and will find and measure Type Ia supernovae beyond z > 1.5 to test their accuracy as standard candles for cosmology. Five premier multi-wavelength sky regions are selected, each with extensive ancillary data. The use of five widely separated fields mitigates cosmic variance and yields statistically robust and complete samples of galaxies down to a stellar mass of 10(exp 9) solar mass to z approx. 2, reaching the knee of the UV luminosity function of galaxies to z approx. 8. The survey covers approximately 800 square arc minutes and is divided into two parts. The CANDELS/Deep survey (5(sigma) point-source limit H =27.7mag) covers approx. 125 square arcminutes within GOODS-N and GOODS-S. The CANDELS/Wide survey includes GOODS and three additional fields (EGS, COSMOS, and UDS) and covers the full area to a 50(sigma) point-source limit of H ? or approx. = 27.0 mag. Together with the Hubble Ultradeep Fields, the strategy creates a three-tiered "wedding cake" approach that has proven efficient for extragalactic surveys. Data from the survey are non-proprietary and are useful for a wide variety of science investigations. In this paper, we describe the basic motivations for the survey, the CANDELS team science goals and the resulting observational requirements, the field selection and geometry, and the observing design.

2,088 citations


Authors

Showing all 4391 results

NameH-indexPapersCitations
Daniel J. Eisenstein179672151720
David W. Johnson1602714140778
David Tilman158340149473
Stephen J. O'Brien153106293025
Ramesh Narayan12966163628
David W. Latham12785267390
David Charbonneau12654565304
Christopher W. Stubbs122622109429
William R. Forman12080053717
William F. Laurance11847056464
Edo Berger11857847147
Dimitar Sasselov11665958435
Guillermo Torres11467759397
David J. Wilner11372743996
John M. Davis11079051526
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202220
2021673
2020755
2019531
2018326