Identification of Selective Sweeps, Major Genes, and Genotype by Diet Interactions Melanie D
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Approximating Selective Sweeps
Approximating Selective Sweeps by Richard Durrett and Jason Schweinsberg Dept. of Math, Cornell U. Corresponding Author: Richard Durrett Dept. of Mathematics 523 Malott Hall Cornell University Ithaca NY 14853 Phone: 607-255-8282 FAX: 607-255-7149 email: [email protected] 1 ABSTRACT The fixation of advantageous mutations in a population has the effect of reducing varia- tion in the DNA sequence near that mutation. Kaplan, Hudson, and Langley (1989) used a three-phase simulation model to study the effect of selective sweeps on genealogies. However, most subsequent work has simplified their approach by assuming that the number of individ- uals with the advantageous allele follows the logistic differential equation. We show that the impact of a selective sweep can be accurately approximated by a random partition created by a stick-breaking process. Our simulation results show that ignoring the randomness when the number of individuals with the advantageous allele is small can lead to substantial errors. Key words: selective sweep, hitchhiking, coalescent, random partition, paintbox construction 2 When a selectively favorable mutation occurs in a population and is subsequently fixed (i.e., its frequency rises to 100%), the frequencies of alleles at closely linked loci are altered. Alleles present on the chromosome on which the original mutation occurred will tend to increase in frequency, and other alleles will decrease in frequency. Maynard Smith and Haigh (1974) referred to this as the ‘hitchhiking effect,’ because an allele can get a lift in frequency from selection acting on a neighboring allele. They considered a situation with a neutral locus with alleles A and a and a second locus where allele B has a fitness of 1 + s relative to b. -
A New Approach for Using Genome Scans to Detect Recent Positive Selection in the Human Genome
PLoS BIOLOGY A New Approach for Using Genome Scans to Detect Recent Positive Selection in the Human Genome Kun Tang1*, Kevin R. Thornton2, Mark Stoneking1 1 Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 2 Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, United States of America Genome-wide scanning for signals of recent positive selection is essential for a comprehensive and systematic understanding of human adaptation. Here, we present a genomic survey of recent local selective sweeps, especially aimed at those nearly or recently completed. A novel approach was developed for such signals, based on contrasting the extended haplotype homozygosity (EHH) profiles between populations. We applied this method to the genome single nucleotide polymorphism (SNP) data of both the International HapMap Project and Perlegen Sciences, and detected widespread signals of recent local selection across the genome, consisting of both complete and partial sweeps. A challenging problem of genomic scans of recent positive selection is to clearly distinguish selection from neutral effects, given the high sensitivity of the test statistics to departures from neutral demographic assumptions and the lack of a single, accurate neutral model of human history. We therefore developed a new procedure that is robust across a wide range of demographic and ascertainment models, one that indicates that certain portions of the genome clearly depart from neutrality. Simulations of positive selection showed that our tests have high power towards strong selection sweeps that have undergone fixation. Gene ontology analysis of the candidate regions revealed several new functional groups that might help explain some important interpopulation differences in phenotypic traits. -
Refining the Use of Linkage Disequilibrium As A
HIGHLIGHTED ARTICLE | INVESTIGATION Refining the Use of Linkage Disequilibrium as a Robust Signature of Selective Sweeps Guy S. Jacobs,*,†,1 Timothy J. Sluckin,* and Toomas Kivisild‡ *Mathematical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom, †Complexity Institute, Nanyang Technological University, Singapore 637723, and ‡Department of Biological Anthropology, University of Cambridge, Cambridge CB2 1QH, United Kingdom ORCID IDs: 0000-0002-4698-7758 (G.S.J.); 0000-0002-9163-0061 (T.J.S.); 0000-0002-6297-7808 (T.K.) ABSTRACT During a selective sweep, characteristic patterns of linkage disequilibrium can arise in the genomic region surrounding a selected locus. These have been used to infer past selective sweeps. However, the recombination rate is known to vary substantially along the genome for many species. We here investigate the effectiveness of current (Kelly’s ZnS and vmax) and novel statistics at inferring hard selective sweeps based on linkage disequilibrium distortions under different conditions, including a human-realistic demographic model and recombination rate variation. When the recombination rate is constant, Kelly’s ZnS offers high power, but is outperformed by a novel statistic that we test, which we call Za: We also find this statistic to be effective at detecting sweeps from standing variation. When recombination rate fluctuations are included, there is a considerable reduction in power for all linkage disequilibrium-based statistics. However, this can largely be reversed by appropriately controlling for expected linkage disequilibrium using a genetic map. To further test these different methods, we perform selection scans on well-characterized HapMap data, finding that all three statistics—vmax; Kelly’s ZnS; and Za—are able to replicate signals at regions previously identified as selection candidates based on population differentiation or the site frequency spectrum. -
Rapid Evolution of a Skin-Lightening Allele in Southern African Khoesan
Rapid evolution of a skin-lightening allele in southern African KhoeSan Meng Lina,1,2, Rebecca L. Siforda,b,3, Alicia R. Martinc,d,e,3, Shigeki Nakagomef, Marlo Möllerg, Eileen G. Hoalg, Carlos D. Bustamanteh, Christopher R. Gignouxh,i,j, and Brenna M. Henna,2,4 aDepartment of Ecology and Evolution, State University of New York at Stony Brook, Stony Brook, NY 11794; bThe School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287; cAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114; dProgram in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141; eStanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02141; fSchool of Medicine, Trinity College Dublin, Dublin 2, Ireland; gDST-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa; hDepartment of Genetics, Stanford University, Stanford, CA 94305; iColorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045; and jDepartment of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045 Edited by Nina G. Jablonski, The Pennsylvania State University, University Park, PA, and accepted by Editorial Board Member C. O. Lovejoy October 18, 2018 (received for review February 2, 2018) Skin pigmentation is under strong directional selection in northern Amhara or another group who themselves are substantially European and Asian populations. The indigenous KhoeSan popula- admixed with Near Eastern people has been proposed (13, 14). -
Identifying the Favored Mutation in a Positive Selective Sweep
HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nat Methods Manuscript Author . Author manuscript; Manuscript Author available in PMC 2018 November 12. Published in final edited form as: Nat Methods. 2018 April ; 15(4): 279–282. doi:10.1038/nmeth.4606. Identifying the Favored Mutation in a Positive Selective Sweep Ali Akbari1, Joseph J. Vitti2,3, Arya Iranmehr1, Mehrdad Bakhtiari4, Pardis C. Sabeti2,3, Siavash Mirarab1, and Vineet Bafna4 1Department of Electrical & Computer Engineering, University of California San Diego, La Jolla, California, USA 2Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA 3Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA 4Department of Computer Science & Engineering, University of California San Diego, La Jolla, California, USA Abstract Methods to identify signatures of selective sweeps in population genomics data have been actively developed, but mostly do not identify the specific mutation favored by selection. We present a method, iSAFE, that uses a statistic derived solely from population genetics signals to accurately pinpoint the favored mutation in a large region (~5 Mbp). iSAFE does not require any knowledge of demography, specific phenotype under selection, or functional annotations of mutations. Human genetic data have revealed a multitude of genomic regions believed to be evolving under positive selection. Methods for detecting regions under selection from genetic variations exploit a variety of genomic signatures. Allele frequency based methods analyze the distortion in site frequency spectrums; Linkage Disequilibrium (LD) based methods use extended homozygosity in haplotypes; other methods use differences in allele frequency between populations; and finally, composite methods combine multiple test scores to improve the resolution1–3. -
Lawrie & Symington
Lawrie & Symington Ltd Lanark Agricultural Centre Sale of Poultry, Waterfowl and Pigs etc. Thursday 17th March, 2016 Ringstock at 10.30 a.m. General Hall at 11.00 a.m Lanark Agricultural Centre Sale of Poultry and Waterfowl Special Conditions of Sale The Sale will be conducted subject to the Conditions of Sale of Lawrie and Symington Ltd as approved by the Institute of Auctioneers and Appraisers in Scotland which will be on display in the Auctioneer’s office on the day of sale. In addition the following conditions apply. 1. No animal may be sold privately prior to the sale, but must be offered for sale through the ring. 2. Animals which fail to reach the price fixed by the vendor may be sold by Private Treaty after the Auction. All such sales must be passed through the Auctioneers and will be subject to full commission. Reserve Prices should be given in writing to the auctioneer prior to the commencement of the sale. 3. All stock must be numbered and penned in accordance with the catalogued number on arrival at the market. 4. All entries offered for sale must be pre-entered in writing and paid for in full with the entries being allocated on a first come first served basis by the closing date or at 324 2x2 Cages and/or at 70 3x3 Cages, whichever is earliest. 5. No substitutes to entries will be accepted 10 days prior to the date of sale. Any substitutes brought on the sale day WILL NOT BE OFFERED FOR SALE. 6. -
Selective Sweep Biotechnology Intelligence Unit Medical Intelligence Unit Molecular Biology Intelligence Unit
MOLECULAR BIOLOGY INTELLIGENCE UNIT MOLECULAR BIOLOGY INTELLIGENCE UNIT Landes Bioscience, a bioscience publisher, is making a transition to the internet as Dmitry Nurminsky Eurekah.com. NURMINSKY INTELLIGENCE UNITS Selective Sweep Biotechnology Intelligence Unit Medical Intelligence Unit Molecular Biology Intelligence Unit Neuroscience Intelligence Unit MBIU Tissue Engineering Intelligence Unit The chapters in this book, as well as the chapters of all of the five Intelligence Unit series, are available at our website. S elective Sweep elective ISBN 0-306-48235-5 9780306 482359 MOLECULAR BIOLOGY INTELLIGENCE UNIT MOLECULAR BIOLOGY INTELLIGENCE UNIT Landes Bioscience, a bioscience publisher, is making a transition to the internet as Dmitry Nurminsky Eurekah.com. NURMINSKY INTELLIGENCE UNITS Selective Sweep Biotechnology Intelligence Unit Medical Intelligence Unit Molecular Biology Intelligence Unit Neuroscience Intelligence Unit MBIU Tissue Engineering Intelligence Unit The chapters in this book, as well as the chapters of all of the five Intelligence Unit series, are available at our website. S elective Sweep elective ISBN 0-306-48235-5 9780306 482359 MOLECULAR BIOLOGY INTELLIGENCE UNIT Selective Sweep Dmitry Nurminsky, Ph.D. Department of Anatomy and Cellular Biology Tufts University School of Medicine Boston, Massachusetts, U.S.A. LANDES BIOSCIENCE / EUREKAH.COM KLUWER ACADEMIC / PLENUM PUBLISHERS GEORGETOWN, TEXAS NEW YORK, NEW YORK U.S.A. U.S.A. SELECTIVE SWEEP Molecular Biology Intelligence Unit Landes Bioscience / Eurekah.com Kluwer Academic / Plenum Publishers Copyright ©2005 Eurekah.com and Kluwer Academic / Plenum Publishers All rights reserved. No part of this book may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. -
On the Unfounded Enthusiasm for Soft Selective Sweeps III: the Supervised Machine Learning Algorithm That Isn’T
G C A T T A C G G C A T genes Article On the Unfounded Enthusiasm for Soft Selective Sweeps III: The Supervised Machine Learning Algorithm That Isn’t Eran Elhaik 1,* and Dan Graur 2 1 Department of Biology, Lund University, Sölvegatan 35, 22362 Lund, Sweden 2 Department of Biology & Biochemistry, University of Houston, Science & Research Building 2, Suite #342, 3455 Cullen Bldv., Houston, TX 77204-5001, USA; [email protected] * Correspondence: [email protected] Abstract: In the last 15 years or so, soft selective sweep mechanisms have been catapulted from a curiosity of little evolutionary importance to a ubiquitous mechanism claimed to explain most adaptive evolution and, in some cases, most evolution. This transformation was aided by a series of articles by Daniel Schrider and Andrew Kern. Within this series, a paper entitled “Soft sweeps are the dominant mode of adaptation in the human genome” (Schrider and Kern, Mol. Biol. Evolut. 2017, 34(8), 1863–1877) attracted a great deal of attention, in particular in conjunction with another paper (Kern and Hahn, Mol. Biol. Evolut. 2018, 35(6), 1366–1371), for purporting to discredit the Neutral Theory of Molecular Evolution (Kimura 1968). Here, we address an alleged novelty in Schrider and Kern’s paper, i.e., the claim that their study involved an artificial intelligence technique called supervised machine learning (SML). SML is predicated upon the existence of a training dataset in which the correspondence between the input and output is known empirically to be true. Curiously, Schrider and Kern did not possess a training dataset of genomic segments known a priori to have evolved either neutrally or through soft or hard selective sweeps. -
Preserving Genetic Resources in Agriculture Achievements of the 17 Projects of the Community Programme 2006-2011
Preserving genetic resources in agriculture Achievements of the 17 projects of the Community Programme 2006-2011 Agriculture and Rural Development Europe Direct is a service to help you find answers to your questions about the European Union. Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. More information on the European Union is available at: http://europa.eu The projects’ executive summaries were prepared by the implementing organisations. Further details regarding the projects can be found at: http://ec.europa.eu/agriculture/genetic-resources/actions/index_en.htm The information and views set out in this publication are those of the authors and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. The text of this publication is for information purposes only and is not legally binding. The maps in this publication are only indicative. The borders shown on the maps do not necessarily represent the official position of the European Union. Reproduction is authorized, provided the source is acknowledged. All photos are under copyright. Copyright of the photos: European Commission © European Commission, 2013 Printed in Belgium Printed on recycled paper Preserving genetic resources in agriculture Achievements of the 17 projects of the Community Programme 2006-2011 Foreword Maintaining and developing sustainable uses for agricultural The Community programme has promoted the preservation of genetic resources is essential for ensuring food security in genetic diversity and the exchange of information across a sustainable manner. -
Lincolnshire Show Lincolnshire Show
THE 2017 LINCOLNSHIRELINCOLNSHIRE SHOWSHOW 21st - 22nd June LIVESTOCK SCHEDULE CLOSING DATE FOR ENTRIES Wednesday 26th April LINCOLNSHIRE AGRICULTURAL SOCIETY Patron: Mr. T E D Dennis President: Mr. R M Battle Honorary Show Director: Mr. A C Read Livestock Prize Schedule 21st - 22nd June, 2017 CLOSING DATE FOR ENTRIES: Wednesday 26th April 2017 No LATE ENTRIES will be accepted ————————— Please send your ENTRIES to: Lincolnshire Agricultural Society Lincolnshire Showground Grange-de-lings Lincoln LN2 2NA Tel (01522) 522900 Fax (01522) 520345 e-mail: [email protected] 1 We would like to say thank you to the following Sponsors and Supporters A. Wright and Son A. W. Curtis and Sons Ltd Beeswax Farming Ltd D M Boyles Branston Ltd British Wool Marketing Board Brown Butlin Group Ltd Clydesdale Yorkshire Bank Daniel Crane Sporting Art Ltd Duckworth Isuzu Duckworth Landrover Equip Rasen Ltd Farmacy PLC Germains Seeds Harold Woolgar Insurance Henson Franklyn Karu Ltd Langleys Solicitors Lincolnshire Co-op Lincolnshire Media Lincolnshire Shire Horse Association Masons Chartered Surveyors Melton Mowbray Livestock Market Pentagon Group Pollock Associates Pygott & Crone Robert Bell & Co Saul Fairholm Chartered Accountants Savills Semex (UK Sales) Ltd Sparkhouse Streets Chartered Accountants The University of Lincoln The Willows Garden Centre & Restaurant Thompson & Richardson Lincoln Thurlby Motors TSV Services Ltd Witham Oil & Paint Woldgrain Storage Ltd Woldmarsh Yorkshire Dales Ice Cream Ltd 2 INDEX CATTLE Page Beef Aberdeen Angus . 22 Beef Shorthorn . 18 British Blue . 14 British Blonde . 21 British Charolais. 15 British Limousin . 17 Commercial Cattle. 29 Inter-Breed Championship . 27 Lincoln Red. 11 Longhorn . 19 Other Pure Continental Breeds . -
Complaint Report
EXHIBIT A ARKANSAS LIVESTOCK & POULTRY COMMISSION #1 NATURAL RESOURCES DR. LITTLE ROCK, AR 72205 501-907-2400 Complaint Report Type of Complaint Received By Date Assigned To COMPLAINANT PREMISES VISITED/SUSPECTED VIOLATOR Name Name Address Address City City Phone Phone Inspector/Investigator's Findings: Signed Date Return to Heath Harris, Field Supervisor DP-7/DP-46 SPECIAL MATERIALS & MARKETPLACE SAMPLE REPORT ARKANSAS STATE PLANT BOARD Pesticide Division #1 Natural Resources Drive Little Rock, Arkansas 72205 Insp. # Case # Lab # DATE: Sampled: Received: Reported: Sampled At Address GPS Coordinates: N W This block to be used for Marketplace Samples only Manufacturer Address City/State/Zip Brand Name: EPA Reg. #: EPA Est. #: Lot #: Container Type: # on Hand Wt./Size #Sampled Circle appropriate description: [Non-Slurry Liquid] [Slurry Liquid] [Dust] [Granular] [Other] Other Sample Soil Vegetation (describe) Description: (Place check in Water Clothing (describe) appropriate square) Use Dilution Other (describe) Formulation Dilution Rate as mixed Analysis Requested: (Use common pesticide name) Guarantee in Tank (if use dilution) Chain of Custody Date Received by (Received for Lab) Inspector Name Inspector (Print) Signature Check box if Dealer desires copy of completed analysis 9 ARKANSAS LIVESTOCK AND POULTRY COMMISSION #1 Natural Resources Drive Little Rock, Arkansas 72205 (501) 225-1598 REPORT ON FLEA MARKETS OR SALES CHECKED Poultry to be tested for pullorum typhoid are: exotic chickens, upland birds (chickens, pheasants, pea fowl, and backyard chickens). Must be identified with a leg band, wing band, or tattoo. Exemptions are those from a certified free NPIP flock or 90-day certificate test for pullorum typhoid. Water fowl need not test for pullorum typhoid unless they originate from out of state. -
A Spatially Aware Likelihood Test to Detect Sweeps from Haplotype Distributions
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.12.443825; this version posted May 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. A spatially aware likelihood test to detect sweeps from haplotype distributions Michael DeGiorgio1;∗, Zachary A. Szpiech2;3;∗ 1Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA 2Department of Biology, Pennsylvania State University, University Park, PA 16801, USA 3Institute for Computational and Data Sciences, Pennsylvania State University, University Park, PA 16801, USA ∗Corresponding authors: [email protected] (M.D.), [email protected] (Z.A.S.) Keywords: haplotypes, hard sweeps, soft sweeps, maximum likelihood 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.05.12.443825; this version posted May 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract The inference of positive selection in genomes is a problem of great interest in evolutionary genomics. By identifying putative regions of the genome that contain adaptive mutations, we are able to learn about the biology of organisms and their evolutionary history. Here we introduce a composite likelihood method that identifies recently completed or ongoing positive selection by searching for extreme distortions in the spatial distribution of the haplotype fre- quency spectrum relative to the genome-wide expectation taken as neutrality.