The Importance of Genetic Redundancy in Evolution
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Genetic Effects on Microsatellite Diversity in Wild Emmer Wheat (Triticum Dicoccoides) at the Yehudiyya Microsite, Israel
Heredity (2003) 90, 150–156 & 2003 Nature Publishing Group All rights reserved 0018-067X/03 $25.00 www.nature.com/hdy Genetic effects on microsatellite diversity in wild emmer wheat (Triticum dicoccoides) at the Yehudiyya microsite, Israel Y-C Li1,3, T Fahima1,MSRo¨der2, VM Kirzhner1, A Beiles1, AB Korol1 and E Nevo1 1Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel; 2Institute for Plant Genetics and Crop Plant Research, Corrensstrasse 3, 06466 Gatersleben, Germany This study investigated allele size constraints and clustering, diversity. Genome B appeared to have a larger average and genetic effects on microsatellite (simple sequence repeat number (ARN), but lower variance in repeat number 2 repeat, SSR) diversity at 28 loci comprising seven types of (sARN), and smaller number of alleles per locus than genome tandem repeated dinucleotide motifs in a natural population A. SSRs with compound motifs showed larger ARN than of wild emmer wheat, Triticum dicoccoides, from a shade vs those with perfect motifs. The effects of replication slippage sun microsite in Yehudiyya, northeast of the Sea of Galilee, and recombinational effects (eg, unequal crossing over) on Israel. It was found that allele distribution at SSR loci is SSR diversity varied with SSR motifs. Ecological stresses clustered and constrained with lower or higher boundary. (sun vs shade) may affect mutational mechanisms, influen- This may imply that SSR have functional significance and cing the level of SSR diversity by both processes. natural constraints. -
Biology Dictionary English - Khmer
vcnanuRkm CIvviTüa Gg;eKøs-Exµr Biology Dictionary English - Khmer saklviTüal½yPUminÞPñMeBj ed)a:tWm:g; CIvviTüa e)aHBum<elIkTI 3 ¬EksMrYl¦ 2003 Preface to the Third Edition (Revised) This dictionary is the work of many teachers and some students in the Biology department of The Royal University of Phnom Penh. It has developed over the last three years in response to the need of Biology students to learn Biology from English text books. We have also tried to anticipate the future needs of Biology students and teachers in Cambodia. If they want to join the global scientific community; read scientific journals, listen to international media, attend international conferences or study outside Cambodia, then they will probably need to communicate in English. Therefore, the main aim of this book is to help Cambodian students and teachers at the university level to understand Biology in English. All languages evolve. In the past the main influence on Khmer language was French. Nowadays, it is increasingly English. Some technical terms have already been absorbed from French and have become Khmer. Nowadays new technical terms are usually created in English and are used around the world. Language is also created by those who use it and only exists when it is used. Therefore, common usage has also influenced our translation. We have tried to respond to these various influences when preparing this dictionary, so that it represents many different opinions - old and new, Francophile, Anglophile and Khmer. But there will always be some disagreement about the translation of some terms. This is normal and occurs in all languages. -
The Genetic Architecture of Economic and Political Preferences
1 The Genetic Architecture of Economic and Political Preferences Daniel J. Benjamin1*, David Cesarini2, Matthijs J.H.M. van der Loos3, Christopher T. Dawes4, Philipp D. Koellinger3, Patrik K.E. Magnusson5, Christopher F. Chabris6, Dalton Conley7, David Laibson8, Magnus Johannesson9, and Peter M. Visscher10 1Department of Economics, Cornell University, 480 Uris Hall, Ithaca, NY 14853, USA. 2Center for Experimental Social Science, Department of Economics, New York University, 19 W. 4th Street, New York, NY 10012, USA. 3 Department of Applied Economics, Erasmus Universiteit Rotterdam, Post Box 1738, 3000 DR Rotterdam, Netherlands. 4 Department of Politics, New York University, 19 W. 4th Street, New York, NY 10012, USA. 5 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE- 171 77 Stockholm, Sweden. 6 Department of Psychology, Union College, 807 Union Street, Schenectady, NY 12308, USA. 7 Department of Sociology, New York University, Department of Sociology, New York University, 295 Lafayette Street, 4th floor, New York, NY 10012, USA. 8 Department of Economics, Harvard University, Littauer Center, 1805 Cambridge Street, Cambridge, MA 02138, USA. 9 Department of Economics, Stockholm School of Economics, Box 6501, SE-113 83 Stockholm, Sweden. 10 University of Queensland Diamantina Institute, Level 4, R Wing, Princess Alexandra Hospital, Ipswich Road, Woolloongabba 4102, Australia. Classification: Social Sciences; Economic Sciences; Social Sciences; Political Sciences; Biological Sciences; Genetics. Manuscript information: 12 text pages, 1 Figure, 2 Tables. *To whom correspondence should be addressed: phone: +1 607 255 2355. E-mail: [email protected]. 2 Abstract: Preferences are fundamental constructs in all models of economic and political behavior and important precursors to many lifetime outcomes. -
Genetic Correlations Reveal the Shared Genetic Architecture of Transcription in Human Peripheral Blood
Hemani, G. (2017). Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood. Nature Communications, 8, [483]. https://doi.org/10.1038/s41467-017-00473- z Publisher's PDF, also known as Version of record License (if available): CC BY Link to published version (if available): 10.1038/s41467-017-00473-z Link to publication record in Explore Bristol Research PDF-document This is the final published version of the article (version of record). It first appeared online via Nature Publishing Group at https://www.nature.com/articles/s41467-017-00473-z . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ ARTICLE DOI: 10.1038/s41467-017-00473-z OPEN Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood Samuel W. Lukowski 1, Luke R. Lloyd-Jones1,2, Alexander Holloway2, Holger Kirsten3,4, Gibran Hemani 5,6, Jian Yang 1,2, Kerrin Small 7, Jing Zhao8, Andres Metspalu9, Emmanouil T. Dermitzakis10, Greg Gibson 8, Timothy D. Spector7, Joachim Thiery4,11, Markus Scholz 3,4, Grant W. Montgomery1,12, Tonu Esko 9, Peter M. Visscher 1,2 & Joseph E. Powell1,2 Transcript co-expression is regulated by a combination of shared genetic and environmental factors. Here, we estimate the proportion of co-expression that is due to shared genetic variance. -
Molecular Biology and Applied Genetics
MOLECULAR BIOLOGY AND APPLIED GENETICS FOR Medical Laboratory Technology Students Upgraded Lecture Note Series Mohammed Awole Adem Jimma University MOLECULAR BIOLOGY AND APPLIED GENETICS For Medical Laboratory Technician Students Lecture Note Series Mohammed Awole Adem Upgraded - 2006 In collaboration with The Carter Center (EPHTI) and The Federal Democratic Republic of Ethiopia Ministry of Education and Ministry of Health Jimma University PREFACE The problem faced today in the learning and teaching of Applied Genetics and Molecular Biology for laboratory technologists in universities, colleges andhealth institutions primarily from the unavailability of textbooks that focus on the needs of Ethiopian students. This lecture note has been prepared with the primary aim of alleviating the problems encountered in the teaching of Medical Applied Genetics and Molecular Biology course and in minimizing discrepancies prevailing among the different teaching and training health institutions. It can also be used in teaching any introductory course on medical Applied Genetics and Molecular Biology and as a reference material. This lecture note is specifically designed for medical laboratory technologists, and includes only those areas of molecular cell biology and Applied Genetics relevant to degree-level understanding of modern laboratory technology. Since genetics is prerequisite course to molecular biology, the lecture note starts with Genetics i followed by Molecular Biology. It provides students with molecular background to enable them to understand and critically analyze recent advances in laboratory sciences. Finally, it contains a glossary, which summarizes important terminologies used in the text. Each chapter begins by specific learning objectives and at the end of each chapter review questions are also included. -
An Introduction to Quantitative Genetics I Heather a Lawson Advanced Genetics Spring2018 Outline
An Introduction to Quantitative Genetics I Heather A Lawson Advanced Genetics Spring2018 Outline • What is Quantitative Genetics? • Genotypic Values and Genetic Effects • Heritability • Linkage Disequilibrium and Genome-Wide Association Quantitative Genetics • The theory of the statistical relationship between genotypic variation and phenotypic variation. 1. What is the cause of phenotypic variation in natural populations? 2. What is the genetic architecture and molecular basis of phenotypic variation in natural populations? • Genotype • The genetic constitution of an organism or cell; also refers to the specific set of alleles inherited at a locus • Phenotype • Any measureable characteristic of an individual, such as height, arm length, test score, hair color, disease status, migration of proteins or DNA in a gel, etc. Nature Versus Nurture • Is a phenotype the result of genes or the environment? • False dichotomy • If NATURE: my genes made me do it! • If NURTURE: my mother made me do it! • The features of an organisms are due to an interaction of the individual’s genotype and environment Genetic Architecture: “sum” of the genetic effects upon a phenotype, including additive,dominance and parent-of-origin effects of several genes, pleiotropy and epistasis Different genetic architectures Different effects on the phenotype Types of Traits • Monogenic traits (rare) • Discrete binary characters • Modified by genetic and environmental background • Polygenic traits (common) • Discrete (e.g. bristle number on flies) or continuous (human height) -
Evolution of Neural Fields for Visual Discrimination and Multiple Pole Balancing Tasks
Honda Research Institute Europe GmbH https://www.honda-ri.de/ NEATfields: Evolution of neural fields for visual discrimination and multiple pole balancing tasks Benjamin Inden, Yaochu Jin, Robert Haschke, Helge Ritter 2010 Preprint: This is an accepted article published in Genetic and Evolutionary Computation Conference. The final authenticated version is available online at: https://doi.org/[DOI not available] Powered by TCPDF (www.tcpdf.org) NEATfields: Evolution of neural fields for visual discrimination and multiple pole balancing tasks ABSTRACT networks can be optimized. However, a few challenges have We have developed a novel extension of the NEAT neuroevo- to be addressed. For example, it is desirable that the exist- lution method, termed NEATfields, to solve problems with ing function of a network should not be fully disrupted when large input and output spaces. NEATfields networks are lay- adding new elements to the network. It is also not obvious ered into two-dimensional fields of identical or similar sub- how to recombine neural networks with arbitrary topologies, networks with an arbitrary topology. The subnetworks are or genomes of neural networks with variable lengths. evolved with genetic operations similar to those used in the Another grand challenge in evolving neural networks is NEAT neuroevolution method. We show that information the scalability issue: the evolution of solutions for tasks of a processing within the neural fields can be organized by pro- large dimension. This problem is particularly serious when viding suitable building blocks to evolution. NEATfields can a direct encoding scheme is used for representing the neural solve a number of visual discrimination tasks and a newly network, where the length of the genome grows linearly with introduced multiple pole balancing task. -
Insights Into the Genetic Architecture of the Human Face
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.12.090555; this version posted May 14, 2020. 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. Insights into the genetic architecture of the human face Julie D. White1†*, Karlijne Indencleef2,3,4†*, Sahin Naqvi5,6, Ryan J. Eller7, Jasmien Roosenboom8, Myoung Keun Lee8, Jiarui Li2,3, Jaaved Mohammed5,9, Stephen Richmond10, Ellen E. Quillen11,12, Heather L. Norton13, Eleanor Feingold14, Tomek Swigut5,9, Mary L. Marazita8,14, Hilde Peeters15, Greet Hens4, John R. Shaffer8,14, Joanna Wysocka5,9, Susan Walsh7, Seth M. Weinberg8,14,16, Mark D. Shriver1, Peter Claes2,3,15,17,18* Affiliations: 1Department of Anthropology, Pennsylvania State University, State College, PA, 16802, USA 2Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, 3000, Belgium 3Medical Imaging Research Center, UZ Leuven, Leuven, 3000, Belgium 4Department of Otorhinolaryngology, KU Leuven, Leuven, 3000, Belgium 5Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA 6Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA 7Department of Biology, Indiana University Purdue University Indianapolis, Indianapolis, IN, 46202, USA 8Department of Oral Biology, Center for Craniofacial and Dental Genetics, University of Pittsburgh, Pittsburgh, -
A Global Overview of Pleiotropy and Genetic Architecture in Complex Traits
bioRxiv preprint doi: https://doi.org/10.1101/500090; this version posted December 19, 2018. 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 global overview of pleiotropy and genetic architecture in complex traits Authors: Kyoko Watanabe1, Sven Stringer1, Oleksandr Frei2, Maša Umićević Mirkov1, Tinca J.C. Polderman1, Sophie van der Sluis1,3, Ole A. Andreassen2,4, Benjamin M. Neale5-7, Danielle Posthuma1,3* Affiliations: 1. Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University Amsterdam, The Netherlands. 2. NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Criminal Medicine, University of Oslo, Oslo, Norway 3. Department of Clinical Genetics, Section of Complex Trait Genetics, Neuroscience Campus Amsterdam, VU Medical Center, Amsterdam, the Netherlands. 4. Division of Mental health and addiction Oslo University hospital, Oslo, Norway 5. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA 6. Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA 7. Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA *Correspondence to: Danielle Posthuma, Department of Complex Trait Genetics, VU University, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands. Phone: +31 20 5982823, Fax: +31 20 5986926, Email: [email protected] Word count: Abstract 181 words, Main text 5,762 words and Methods 4,572 words References: 40 Display items: 4 figures and 2 tables Extended Data: 11 figures Supplementary Information: Text 3,401 words and 25 tables 1 1 bioRxiv preprint doi: https://doi.org/10.1101/500090; this version posted December 19, 2018. -
Recombination and the Evolution of Satellite DNA
Genet. Res., Comb. (1986), 47, pp. 167-174 With 1 text-figure Printed in Great Britain 167 Recombination and the evolution of satellite DNA WOLFGANG STEPHAN* Institute of Animal Genetics, University of Edinburgh, West Mains Road, Edinburgh EH9 3JN, U.K. (Received 11 September 1985 and in revised form 6 December 1985) Summary In eukaryotic chromosomes, large blocks of satellite DNA are associated with regions of reduced meiotic recombination. No function of highly repeated, tandemly arranged DNA sequences has been identified so far at the cellular level, though the structural properties of satellite DNA are relatively well known. In studying the joint action of meiotic recombination, genetic drift and natural selection on the copy number of a family of highly repeated DNA (HRDNA), this paper looks at the structure-function debate for satellite DNA from the standpoint of molecular population genetics. It is shown that (i) HRDNA accumulates most probably in regions of near zero crossing over (heterochromatin), and that (ii), due to random genetic drift the effect of unequal crossover on copy numbers is stronger, the smaller the population size. As a consequence, highly repeated sequences are likely to persist longest (over evolutionary times) in small populations. The results are based on a fairly general class of models of unequal crossing over and natural selection which have been treated both analytically and by computer simulation. 1. Introduction lem of the function of these DNAs has been the sub- Eukaryotic chromosomes contain nucleotide se- ject of major controversies during the past two quences of lengths from about 10 to several hundred decades. -
Canalization in Evolutionary Genetics: a Stabilizing Theory?
Problems and paradigms Canalization in evolutionary genetics: a stabilizing theory? Greg Gibson1* and GuÈ nter Wagner2 ``The stability of the morphogenetic system is destroyed (rendered labile) due either to variation in environmental factors or to mutation. On the other hand, in the course of evolution stability is reestablished by the continuous action of stabilizing selection. Stabilizing selection produces a stable form by creating a regulating apparatus. This protects normal morphogenesis against possible disturbances by chance variation in the external environment and also against small variations in internal factors (i.e. mutations). In this case, natural selection is based upon the selective advantage of the norm (often the new norm) over any deviations from it.'' I.I. Schmalhausen, 1949 (p 79 of 1986 reprinted edition). Summary mechanisms that produce it, and that it has implications for Canalization is an elusive concept. The notion that both developmental and evolutionary biology.(4) However, biological systems ought to evolve to a state of higher stability against mutational and environmental perturba- evolutionary geneticists have devised a more limited mean- tions seems simple enough, but has been exceedingly ing for the term canalization. Whereas buffering refers to difficult to prove. Part of the problem has been the lack keeping a trait constant and hence to low variance about of a definition of canalization that incorporates an the mean, the associated evolutionary questions are whether evolutionary genetic perspective and provides a frame- or not traits can evolve such that they become less likely to work for both mathematical and empirical study. After briefly reviewing the importance of canalization in vary, and if so, whether particular ones have done so, and studies of evolution and development, we aim, with eventually to address how this has occurred. -
SCIENCE CHINA Genetic Architecture, Epigenetic Influence And
SCIENCE CHINA Life Sciences THEMATIC ISSUE: Autism October 2015 Vol.58 No.10: 958–967 • REVIEW • doi: 10.1007/s11427-015-4941-1 Genetic architecture, epigenetic influence and environment expo- sure in the pathogenesis of Autism YU Li1†, WU YiMing1† & WU Bai-Lin1,2* 1Children's Hospital of Fudan University, Institutes of Biomedical Science, Shanghai Medical College of Fudan University, Shanghai 200032, China; 2Claritas Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA Autism spectrum disorder (ASD) is a spectral neurodevelopment disorder affecting approximately 1% of the population. ASD is characterized by impairments in reciprocal social interaction, communication deficits and restricted patterns of behavior. Multiple factors, including genetic/genomic, epigenetic/epigenomic and environmental, are thought to be necessary for autism development. Recent reviews have provided further insight into the genetic/genomic basis of ASD. It has long been suspected that epigenetic mechanisms, including DNA methylation, chromatin structures and long non-coding RNAs may play important roles in the pathology of ASD. In addition to genetic/genomic alterations and epigenetic/epigenomic influences, environmental exposures have been widely accepted as an important role in autism etiology, among which immune dysregulation and gastro- intestinal microbiota are two prominent ones. autism spectrum disorder, genetic architecture, genomic disorder, gene mutation, copy number variants, single nucleo- tide variants, genetic pathways,