G14TBS Part II: Population Genetics
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Models of the Gene Must Inform Data-Mining Strategies in Genomics
entropy Review Models of the Gene Must Inform Data-Mining Strategies in Genomics Łukasz Huminiecki Department of Molecular Biology, Institute of Genetics and Animal Biotechnology, Polish Academy of Sciences, 00-901 Warsaw, Poland; [email protected] Received: 13 July 2020; Accepted: 22 August 2020; Published: 27 August 2020 Abstract: The gene is a fundamental concept of genetics, which emerged with the Mendelian paradigm of heredity at the beginning of the 20th century. However, the concept has since diversified. Somewhat different narratives and models of the gene developed in several sub-disciplines of genetics, that is in classical genetics, population genetics, molecular genetics, genomics, and, recently, also, in systems genetics. Here, I ask how the diversity of the concept impacts data-integration and data-mining strategies for bioinformatics, genomics, statistical genetics, and data science. I also consider theoretical background of the concept of the gene in the ideas of empiricism and experimentalism, as well as reductionist and anti-reductionist narratives on the concept. Finally, a few strategies of analysis from published examples of data-mining projects are discussed. Moreover, the examples are re-interpreted in the light of the theoretical material. I argue that the choice of an optimal level of abstraction for the gene is vital for a successful genome analysis. Keywords: gene concept; scientific method; experimentalism; reductionism; anti-reductionism; data-mining 1. Introduction The gene is one of the most fundamental concepts in genetics (It is as important to biology, as the atom is to physics or the molecule to chemistry.). The concept was born with the Mendelian paradigm of heredity, and fundamentally influenced genetics over 150 years [1]. -
Genetic Analysis of the Transition from Wild to Domesticated Cotton (G
bioRxiv preprint doi: https://doi.org/10.1101/616763; this version posted April 23, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Genetic analysis of the transition from wild to domesticated cotton (G. hirsutum) Corrinne E. Grover1, Mi-Jeong Yoo1,a, Michael A. Gore2, David B. Harker3,b, Robert L. Byers3, Alexander E. Lipka4, Guanjing Hu1, Daojun Yuan1, Justin L. Conover1, Joshua A. Udall3,c, Andrew H. Paterson5, and Jonathan F. Wendel1 1Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA 50011 2Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853 3Plant and Wildlife Science Department, Brigham Young University, Provo, UT 84602 4Department of Crop Sciences, University of Illinois, Urbana, IL 61801 5Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602 acurrent address: Department of Biology, University of Florida, Gainesville, FL 32611 bcurrent address: Department of Dermatology, The University of Texas Southwestern Medical Center, Dallas, TX 75390 ccurrent address: Southern Plains Agricultural Research Center, USDA-ARS, College Station, TX, 77845- 4988 Corresponding Author: Jonathan F. Wendel ([email protected]) Data Availability: All data are available via figshare (https://figshare.com/projects/Genetic_analysis_of_the_transition_from_wild_to_domesticated_cotton_G _hirsutum_QTL/62693) and GitHub (https://github.com/Wendellab/QTL_TxMx). Keywords: QTL, domestication, Gossypium hirsutum, cotton Summary: An F2 population between truly wild and domesticated cotton was used to identify QTL associated with selection under domestication. -
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B. M ü ller, G ü nter P. Wagner, and Werner Callebaut, editors The Evolution of Cognition , edited by Cecilia Heyes and Ludwig Huber, 2000 Origination of Organismal Form: Beyond the Gene in Development and Evolutionary Biology , edited by Gerd B. M ü ller and Stuart A. Newman, 2003 Environment, Development, and Evolution: Toward a Synthesis , edited by Brian K. Hall, Roy D. Pearson, and Gerd B. M ü ller, 2004 Evolution of Communication Systems: A Comparative Approach , edited by D. Kimbrough Oller and Ulrike Griebel, 2004 Modularity: Understanding the Development and Evolution of Natural Complex Systems , edited by Werner Callebaut and Diego Rasskin-Gutman, 2005 Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution , by Richard A. Watson, 2006 Biological Emergences: Evolution by Natural Experiment , by Robert G. B. Reid, 2007 Modeling Biology: Structure, Behaviors, Evolution , edited by Manfred D. Laubichler and Gerd B. M ü ller, 2007 Evolution of Communicative Flexibility: Complexity, Creativity, and Adaptability in Human and Animal Communication , edited by Kimbrough D. Oller and Ulrike Griebel, 2008 Functions in Biological and Artifi cial Worlds: Comparative Philosophical Perspectives , edited by Ulrich Krohs and Peter Kroes, 2009 Cognitive Biology: Evolutionary and Developmental Perspectives on Mind, Brain, and Behavior , edited by Luca Tommasi, Mary A. Peterson, and Lynn Nadel, 2009 Innovation in Cultural Systems: Contributions from Evolutionary Anthropology , edited by Michael J. O ’ Brien and Stephen J. Shennan, 2010 The Major Transitions in Evolution Revisited , edited by Brett Calcott and Kim Sterelny, 2011 Transformations of Lamarckism: From Subtle Fluids to Molecular Biology , edited by Snait B. -
Purebred Dog Breeds Into the Twenty-First Century: Achieving Genetic Health for Our Dogs
Purebred Dog Breeds into the Twenty-First Century: Achieving Genetic Health for Our Dogs BY JEFFREY BRAGG WHAT IS A CANINE BREED? What is a breed? To put the question more precisely, what are the necessary conditions that enable us to say with conviction, "this group of animals constitutes a distinct breed?" In the cynological world, three separate approaches combine to constitute canine breeds. Dogs are distinguished first by ancestry , all of the individuals descending from a particular founder group (and only from that group) being designated as a breed. Next they are distinguished by purpose or utility, some breeds existing for the purpose of hunting particular kinds of game,others for the performance of particular tasks in cooperation with their human masters, while yet others owe their existence simply to humankind's desire for animal companionship. Finally dogs are distinguished by typology , breed standards (whether written or unwritten) being used to describe and to recognize dogs of specific size, physical build, general appearance, shape of head, style of ears and tail, etc., which are said to be of the same breed owing to their similarity in the foregoing respects. The preceding statements are both obvious and known to all breeders and fanciers of the canine species. Nevertheless a correct and full understanding of these simple truisms is vital to the proper functioning of the entire canine fancy and to the health and well being of the animals which are the object of that fancy. It is my purpose in this brief to elucidate the interrelationship of the above three approaches, to demonstrate how distortions and misunderstandings of that interrelationship now threaten the health of all of our dogs and the very existence of the various canine breeds, and to propose reforms which will restore both balanced breed identity and genetic health to CKC breeds. -
Pedigree Analysis and Optimisation of the Breeding Programme of the Markiesje and the Stabyhoun
Pedigree analysis and optimisation of the breeding programme of the Markiesje and the Stabyhoun Aiming to improve health and welfare and maintain genetic diversity Harmen Doekes REG.NR.: 920809186050 Major thesis Animal Breeding and Genetics (ABG-80436) January, 2016 Supervisors/examiners: Piter Bijma - Animal Breeding and Genomics Centre, Wageningen University Kor Oldenbroek - Centre for Genetic Resources the Netherlands (CGN), Wageningen UR Jack Windig - Animal Breeding & Genomics Centre, Wageningen UR Livestock Research Thesis: Animal Breeding and Genomics Centre Pedigree analysis and optimisation of the breeding programme of the Markiesje and the Stabyhoun Aiming to improve health and welfare and maintain genetic diversity Harmen Doekes REG.NR.: 920809186050 Major thesis Animal Breeding and Genetics (ABG-80436) January, 2016 Supervisors: Kor Oldenbroek - Centre for Genetic Resources the Netherlands (CGN), Wageningen UR Jack Windig - Animal Breeding & Genomics Centre, Wageningen UR Livestock Research Examiners: Piter Bijma - Animal Breeding and Genomics Centre, Wageningen University Kor Oldenbroek - Centre for Genetic Resources the Netherlands (CGN), Wageningen UR Commissioned by: Nederlandse Markiesjes Vereniging Nederlandse Vereniging voor Stabij- en Wetterhounen Preface This major thesis is submitted in partial fulfilment of the requirements for the degree of Master of Animal Sciences of Wageningen University, the Netherlands. It comprises an unpublished study on the genetic status of two Dutch dog breeds, the Markiesje and the Stabyhoun. that was commissioned by the Breed Clubs of the breeds, the ‘Nederlandse Markiesjes Vereniging’ and the ‘Nederlandse Vereniging voor Stabij- en Wetterhounen’. It was written for readers with limited pre-knowledge. Although the thesis focusses on two breeds, it addresses issues that are found in many dog breeds. -
The Ghost of Outcrossing Past in Downy Brome, an Inbreeding Annual Grass
Journal of Heredity 2013:104(4):476–490 Published by Oxford University Press on behalf of The American Genetic doi:10.1093/jhered/est019 Association 2013. This work is written by (a) US Government employee(s) Advance Access publication April 5, 2013 and is in the public domain in the US. The Ghost of Outcrossing Past in Downy Brome, an Inbreeding Annual Grass SUSAN E. MEYER, SUDEEP GHIMIRE, SAMUEL DECKER, KEITH R. MERRILL, AND CRAIG E. COLEMAN From the Shrub Sciences Laboratory, US Forest Service, Rocky Mountain Research Station, 735 North 500 East, Provo, UT 84606 (Meyer); Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT (Ghimire, Decker, and Coleman); and Center for Plant Breeding and Applied Plant Genomics, North Carolina State University, Raleigh, NC (Merrill). Address correspondence to Susan Meyer at the address above, or e-mail: [email protected] Abstract We investigated the frequency of outcrossing in downy brome (Bromus tectorum L.), a cleistogamous weedy annual grass, in both common garden and wild populations, using microsatellite and single nucleotide polymorphic (SNP) markers. In the common garden study, 25 lines with strongly contrasting genotypes were planted in close proximity. We fingerprinted 10 seed progeny from 8 individuals of each line and detected 15 first-generation heterozygotes for a t-value (corrected for cryptic crosses) of 0.0082. Different genotypes were significantly overrepresented as maternal versus paternal parents of heterozy- gotes, suggesting gender–function-dependent genetic control of outcrossing rates. In 4 wild populations (>300 individuals each), expected heterozygosity ranged from 0.149 to 0.336, whereas t-values ranged from 0.0027 to 0.0133, indicating high levels of both genetic diversity and inbreeding. -
Allele Frequency–Based and Polymorphism-Versus
View metadata, citation and similar papers at core.ac.uk brought to you by CORE Allele Frequency–Based and Polymorphism-Versus- provided by PubMed Central Divergence Indices of Balancing Selection in a New Filtered Set of Polymorphic Genes in Plasmodium falciparum Lynette Isabella Ochola,1 Kevin K. A. Tetteh,2 Lindsay B. Stewart,2 Victor Riitho,1 Kevin Marsh,1 and David J. Conway*,2 1Kenya Medical Research Institute, Centre for Geographic Medicine Research Coast, Kilifi, Kenya 2Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom *Corresponding author: E-mail: [email protected], [email protected]. Associate editor: John H. McDonald Research article Abstract Signatures of balancing selection operating on specific gene loci in endemic pathogens can identify candidate targets of naturally acquired immunity. In malaria parasites, several leading vaccine candidates convincingly show such signatures when subjected to several tests of neutrality, but the discovery of new targets affected by selection to a similar extent has been slow. A small minority of all genes are under such selection, as indicated by a recent study of 26 Plasmodium falciparum merozoite- stage genes that were not previously prioritized as vaccine candidates, of which only one (locus PF10_0348) showed a strong signature. Therefore, to focus discovery efforts on genes that are polymorphic, we scanned all available shotgun genome sequence data from laboratory lines of P. falciparum and chose six loci with more than five single nucleotide polymorphisms per kilobase (including PF10_0348) for in-depth frequency–based analyses in a Kenyan population (allele sample sizes .50 for each locus) and comparison of Hudson–Kreitman–Aguade (HKA) ratios of population diversity (p) to interspecific divergence (K) from the chimpanzee parasite Plasmodium reichenowi. -
Microevolution and the Genetics of Populations Microevolution Refers to Varieties Within a Given Type
Chapter 8: Evolution Lesson 8.3: Microevolution and the Genetics of Populations Microevolution refers to varieties within a given type. Change happens within a group, but the descendant is clearly of the same type as the ancestor. This might better be called variation, or adaptation, but the changes are "horizontal" in effect, not "vertical." Such changes might be accomplished by "natural selection," in which a trait within the present variety is selected as the best for a given set of conditions, or accomplished by "artificial selection," such as when dog breeders produce a new breed of dog. Lesson Objectives ● Distinguish what is microevolution and how it affects changes in populations. ● Define gene pool, and explain how to calculate allele frequencies. ● State the Hardy-Weinberg theorem ● Identify the five forces of evolution. Vocabulary ● adaptive radiation ● gene pool ● migration ● allele frequency ● genetic drift ● mutation ● artificial selection ● Hardy-Weinberg theorem ● natural selection ● directional selection ● macroevolution ● population genetics ● disruptive selection ● microevolution ● stabilizing selection ● gene flow Introduction Darwin knew that heritable variations are needed for evolution to occur. However, he knew nothing about Mendel’s laws of genetics. Mendel’s laws were rediscovered in the early 1900s. Only then could scientists fully understand the process of evolution. Microevolution is how individual traits within a population change over time. In order for a population to change, some things must be assumed to be true. In other words, there must be some sort of process happening that causes microevolution. The five ways alleles within a population change over time are natural selection, migration (gene flow), mating, mutations, or genetic drift. -
<I>Steinernema Carpocapsae
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln U.S. Department of Agriculture: Agricultural Publications from USDA-ARS / UNL Faculty Research Service, Lincoln, Nebraska 2011 Outcrossing and crossbreeding recovers deteriorated traits in laboratory cultured Steinernema carpocapsae nematodes John M. Chaston Brigham Young University Adler R. Dillman Brigham Young University David I. Shapiro-Ilan USDA-ARS Anwar L. Bilgrami Rutgers University Randy Gaugler Rutgers University See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/usdaarsfacpub Part of the Agricultural Science Commons Chaston, John M.; Dillman, Adler R.; Shapiro-Ilan, David I.; Bilgrami, Anwar L.; Gaugler, Randy; Hopper, Keith R.; and Adams, Byron J., "Outcrossing and crossbreeding recovers deteriorated traits in laboratory cultured Steinernema carpocapsae nematodes" (2011). Publications from USDA-ARS / UNL Faculty. 842. https://digitalcommons.unl.edu/usdaarsfacpub/842 This Article is brought to you for free and open access by the U.S. Department of Agriculture: Agricultural Research Service, Lincoln, Nebraska at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Publications from USDA-ARS / UNL Faculty by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors John M. Chaston, Adler R. Dillman, David I. Shapiro-Ilan, Anwar L. Bilgrami, Randy Gaugler, Keith R. Hopper, and Byron J. Adams This article is available at DigitalCommons@University of Nebraska - Lincoln: https://digitalcommons.unl.edu/ usdaarsfacpub/842 International Journal for Parasitology 41 (2011) 801–809 Contents lists available at ScienceDirect International Journal for Parasitology journal homepage: www.elsevier.com/locate/ijpara Outcrossing and crossbreeding recovers deteriorated traits in laboratory cultured Steinernema carpocapsae nematodes John M. -
Intro Forensic Stats
Popstats Unplugged 14th International Symposium on Human Identification John V. Planz, Ph.D. UNT Health Science Center at Fort Worth Forensic Statistics From the ground up… Why so much attention to statistics? Exclusions don’t require numbers Matches do require statistics Problem of verbal expression of numbers Transfer evidence Laboratory result 1. Non-match - exclusion 2. Inconclusive- no decision 3. Match - estimate frequency Statistical Analysis Focus on the question being asked… About “Q” sample “K” matches “Q” Who else could match “Q" partial profile, mixtures Match – estimate frequency of: Match to forensic evidence NOT suspect DNA profile Who is in suspect population? So, what are we really after? Quantitative statement that expresses the rarity of the DNA profile Estimate genotype frequency 1. Frequency at each locus Hardy-Weinberg Equilibrium 2. Frequency across all loci Linkage Equilibrium Terminology Genetic marker variant = allele DNA profile = genotype Database = table that provides frequency of alleles in a population Population = some assemblage of individuals based on some criteria for inclusion Where Do We Get These Numbers? 1 in 1,000,000 1 in 110,000,000 POPULATION DATA and Statistics DNA databases are needed for placing statistical weight on DNA profiles vWA data (N=129) 14 15 16 17 18 19 20 freq 14 9 75 15 3 0 6 16 19 1 1 46 17 23 1 14 9 72 18 6 0 3 10 4 31 19 6 1 7 3 2 2 23 20 0 0 0 3 2 0 0 5 258 Because data are not available for every genotype possible, We use allele frequencies instead of genotype frequencies to estimate rarity. -
Genetic Testing: Background and Policy Issues
Genetic Testing: Background and Policy Issues Amanda K. Sarata Specialist in Health Policy March 2, 2015 Congressional Research Service 7-5700 www.crs.gov RL33832 Genetic Testing: Background and Policy Issues Summary Congress has considered, at various points in time, numerous pieces of legislation that relate to genetic and genomic technology and testing. These include bills addressing genetic discrimination in health insurance and employment; precision medicine; the patenting of genetic material; and the oversight of clinical laboratory tests (in vitro diagnostics), including genetic tests. The focus on these issues signals the growing importance of public policy issues surrounding the clinical and public health implications of new genetic technology. As genetic technologies proliferate and are increasingly used to guide clinical treatment, these public policy issues are likely to continue to garner attention. Understanding the basic scientific concepts underlying genetics and genetic testing may help facilitate the development of more effective public policy in this area. Humans have 23 pairs of chromosomes in the nucleus of most cells in their bodies. Chromosomes are composed of deoxyribonucleic acid (DNA) and protein. DNA is composed of complex chemical substances called bases. Proteins are fundamental components of all living cells, and include enzymes, structural elements, and hormones. A gene is the section of DNA that contains the sequence which corresponds to a specific protein. Though most of the genome is similar between individuals, there can be significant variation in physical appearance or function between individuals due to variations in DNA sequence that may manifest as changes in the protein, which affect the protein’s function. -
Basic Genetic Terms for Teachers
Student Name: Date: Class Period: Page | 1 Basic Genetic Terms Use the available reference resources to complete the table below. After finding out the definition of each word, rewrite the definition using your own words (middle column), and provide an example of how you may use the word (right column). Genetic Terms Definition in your own words An example Allele Different forms of a gene, which produce Different alleles produce different hair colors—brown, variations in a genetically inherited trait. blond, red, black, etc. Genes Genes are parts of DNA and carry hereditary Genes contain blue‐print for each individual for her or information passed from parents to children. his specific traits. Dominant version (allele) of a gene shows its Dominant When a child inherits dominant brown‐hair gene form specific trait even if only one parent passed (allele) from dad, the child will have brown hair. the gene to the child. When a child inherits recessive blue‐eye gene form Recessive Recessive gene shows its specific trait when (allele) from both mom and dad, the child will have blue both parents pass the gene to the child. eyes. Homozygous Two of the same form of a gene—one from Inheriting the same blue eye gene form from both mom and the other from dad. parents result in a homozygous gene. Heterozygous Two different forms of a gene—one from Inheriting different eye color gene forms from mom mom and the other from dad are different. and dad result in a heterozygous gene. Genotype Internal heredity information that contain Blue eye and brown eye have different genotypes—one genetic code.