Overview of Basic Genetic Concepts and Terminology
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Gene Linkage and Genetic Mapping 4TH PAGES © Jones & Bartlett Learning, LLC
© Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION Gene Linkage and © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC 4NOTGenetic FOR SALE OR DISTRIBUTIONMapping NOT FOR SALE OR DISTRIBUTION CHAPTER ORGANIZATION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR4.1 SALELinked OR alleles DISTRIBUTION tend to stay 4.4NOT Polymorphic FOR SALE DNA ORsequences DISTRIBUTION are together in meiosis. 112 used in human genetic mapping. 128 The degree of linkage is measured by the Single-nucleotide polymorphisms (SNPs) frequency of recombination. 113 are abundant in the human genome. 129 The frequency of recombination is the same SNPs in restriction sites yield restriction for coupling and repulsion heterozygotes. 114 fragment length polymorphisms (RFLPs). 130 © Jones & Bartlett Learning,The frequency LLC of recombination differs © Jones & BartlettSimple-sequence Learning, repeats LLC (SSRs) often NOT FOR SALE OR DISTRIBUTIONfrom one gene pair to the next. NOT114 FOR SALEdiffer OR in copyDISTRIBUTION number. 131 Recombination does not occur in Gene dosage can differ owing to copy- Drosophila males. 115 number variation (CNV). 133 4.2 Recombination results from Copy-number variation has helped human populations adapt to a high-starch diet. 134 crossing-over between linked© Jones alleles. & Bartlett Learning,116 LLC 4.5 Tetrads contain© Jonesall & Bartlett Learning, LLC four products of meiosis. -
Horizontal Gene Transfer
Genetic Variation: The genetic substrate for natural selection Horizontal Gene Transfer Dr. Carol E. Lee, University of Wisconsin Copyright ©2020; Do not upload without permission What about organisms that do not have sexual reproduction? In prokaryotes: Horizontal gene transfer (HGT): Also termed Lateral Gene Transfer - the lateral transmission of genes between individual cells, either directly or indirectly. Could include transformation, transduction, and conjugation. This transfer of genes between organisms occurs in a manner distinct from the vertical transmission of genes from parent to offspring via sexual reproduction. These mechanisms not only generate new gene assortments, they also help move genes throughout populations and from species to species. HGT has been shown to be an important factor in the evolution of many organisms. From some basic background on prokaryotic genome architecture Smaller Population Size • Differences in genome architecture (noncoding, nonfunctional) (regulatory sequence) (transcribed sequence) General Principles • Most conserved feature of Prokaryotes is the operon • Gene Order: Prokaryotic gene order is not conserved (aside from order within the operon), whereas in Eukaryotes gene order tends to be conserved across taxa • Intron-exon genomic organization: The distinctive feature of eukaryotic genomes that sharply separates them from prokaryotic genomes is the presence of spliceosomal introns that interrupt protein-coding genes Small vs. Large Genomes 1. Compact, relatively small genomes of viruses, archaea, bacteria (typically, <10Mb), and many unicellular eukaryotes (typically, <20 Mb). In these genomes, protein-coding and RNA-coding sequences occupy most of the genomic sequence. 2. Expansive, large genomes of multicellular and some unicellular eukaryotes (typically, >100 Mb). In these genomes, the majority of the nucleotide sequence is non-coding. -
Genetic Recombination Promote Genetic Diversity in Prokaryotes
CAMPBELL TENTH BIOLOGY EDITION Reece • Urry • Cain • Wasserman • Minorsky • Jackson 27 Bacteria and Archaea Lecture Presentation by Nicole Tunbridge and Kathleen Fitzpatrick © 2014 Pearson Education, Inc. Masters of Adaptation . Utah’s Great Salt Lake can reach a salt concentration of 32% . Its pink color comes from living prokaryotes © 2014 Pearson Education, Inc. Figure 27.1 © 2014 Pearson Education, Inc. Prokaryotes thrive almost everywhere, including places too acidic, salty, cold, or hot for most other organisms . Most prokaryotes are microscopic, but what they lack in size they make up for in numbers . There are more in a handful of fertile soil than the number of people who have ever lived . Prokaryotes are divided into two domains: bacteria and archaea © 2014 Pearson Education, Inc. Concept 27.1: Structural and functional adaptations contribute to prokaryotic success . Earth’s first organisms were likely prokaryotes . Most prokaryotes are unicellular, although some species form colonies . Most prokaryotic cells are 0.5–5 µm, much smaller than the 10–100 µm of many eukaryotic cells . Prokaryotic cells have a variety of shapes . The three most common shapes are spheres (cocci), rods (bacilli), and spirals © 2014 Pearson Education, Inc. Figure 27.2 1 µm 1 µm 3 µm (a) Spherical (b) Rod-shaped (c) Spiral © 2014 Pearson Education, Inc. Figure 27.2a 1 µm (a) Spherical © 2014 Pearson Education, Inc. Figure 27.2b 1 µm (b) Rod-shaped © 2014 Pearson Education, Inc. Figure 27.2c 3 µm (c) Spiral © 2014 Pearson Education, Inc. Cell-Surface Structures . An important feature of nearly all prokaryotic cells is their cell wall, which maintains cell shape, protects the cell, and prevents it from bursting in a hypotonic environment . -
Development of Novel SNP Assays for Genetic Analysis of Rare Minnow (Gobiocypris Rarus) in a Successive Generation Closed Colony
diversity Article Development of Novel SNP Assays for Genetic Analysis of Rare Minnow (Gobiocypris rarus) in a Successive Generation Closed Colony Lei Cai 1,2,3, Miaomiao Hou 1,2, Chunsen Xu 1,2, Zhijun Xia 1,2 and Jianwei Wang 1,4,* 1 The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430070, China; [email protected] (L.C.); [email protected] (M.H.); [email protected] (C.X.); [email protected] (Z.X.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510663, China 4 National Aquatic Biological Resource Center, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430070, China * Correspondence: [email protected] Received: 10 November 2020; Accepted: 11 December 2020; Published: 18 December 2020 Abstract: The complex genetic architecture of closed colonies during successive passages poses a significant challenge in the understanding of the genetic background. Research on the dynamic changes in genetic structure for the establishment of a new closed colony is limited. In this study, we developed 51 single nucleotide polymorphism (SNP) markers for the rare minnow (Gobiocypris rarus) and conducted genetic diversity and structure analyses in five successive generations of a closed colony using 20 SNPs. The range of mean Ho and He in five generations was 0.4547–0.4983 and 0.4445–0.4644, respectively. No significant differences were observed in the Ne, Ho, and He (p > 0.05) between the five closed colony generations, indicating well-maintained heterozygosity. -
A Mechanism for Genetic Recombination Generating One Parent and One Recombinant* by Thierry Boon and Norton D
A MECHANISM FOR GENETIC RECOMBINATION GENERATING ONE PARENT AND ONE RECOMBINANT* BY THIERRY BOON AND NORTON D. ZINDER ROCKEFELLER UNIVERSITY, NEW YORK Communicated August 18, 1969 Abstract.-A mechanism is proposed for generating one parental and one re- combinant genome in a single recombination event between two DNA mole- cules. Three stages of the event are described: initiation, replication, and re- turn. Initiation requires breakage and joining of strands. Replication pro- ceeds through a biparental "replication fork" generated in initiation. Return also involves breakage and joining of strands. Some of the implications of such a mechanism for genetic recombination are discussed. Introduction.-We have undertaken a study of the products of recombination of bacteriophage fil under conditions in which the parental genomes cannot replicate in the cell prior to recombination. The results obtained suggest that the products of one recombination event between two parental genomes are one parental genome and one recombinant genome. Previous studies of genetic recombination in bacteriophage did not demon- strate a correlation between the yields of reciprocal recombinants produced in single cells.2-5 Similarly, recombination between closely linked markers is often nonreciprocal in Neurospora and other fungi.6' 7 Although the results with phage f, are still preliminary, we wish to propose a mechanism of recom- bination having main features that are compatible with such nonreciprocal events. This mechanism involves breakage and joining of DNA strands and also requires DNA synthesis. Description of the Mechanism. -The DNA of phage f1 (similar to M13 and fd) is single stranded and circular.8 It has a molecular weight of about 1.7 X 106.9 After entrance into the host cell this DNA is transformed into a circular double-stranded form.10' 11 As the mechanism to be proposed is primarily aimed at understanding the recombina- tion events in phage fl, we describe it, using two double-stranded circular DNA molecules as parents. -
Genetic Linkage Analysis
BASIC SCIENCE SEMINARS IN NEUROLOGY SECTION EDITOR: HASSAN M. FATHALLAH-SHAYKH, MD Genetic Linkage Analysis Stefan M. Pulst, MD enetic linkage analysis is a powerful tool to detect the chromosomal location of dis- ease genes. It is based on the observation that genes that reside physically close on a chromosome remain linked during meiosis. For most neurologic diseases for which the underlying biochemical defect was not known, the identification of the chromo- Gsomal location of the disease gene was the first step in its eventual isolation. By now, genes that have been isolated in this way include examples from all types of neurologic diseases, from neu- rodegenerative diseases such as Alzheimer, Parkinson, or ataxias, to diseases of ion channels lead- ing to periodic paralysis or hemiplegic migraine, to tumor syndromes such as neurofibromatosis types 1 and 2. Arch Neurol. 1999;56:667-672 With the advent of new genetic markers tin gene, diagnosis using flanking mark- and automated genotyping, genetic map- ers requires the analysis of several family ping can be conducted extremely rap- members. idly. Genetic linkage maps have been gen- erated for the human genome and for LINKAGE OF GENES model organisms and have provided the basis for the construction of physical maps When Mendel observed an “independent that permit the rapid mapping of disease assortment of traits” (Mendel’s second traits. law), he was fortunate to have chosen traits As soon as a chromosomal location that were not localized close to one an- for a disease phenotype has been estab- other on the same chromosome.1 Subse- lished, genetic linkage analysis helps quent studies revealed that many genes determine whether the disease pheno- were indeed linked, ie, that traits did not type is only caused by mutation in a assort or segregate independently, but that single gene or mutations in other genes traits encoded by these linked genes were can give rise to an identical or similar inherited together. -
Descriptors for Genetic Markers Technologies
• Descriptors for genetic markers technologies Version 1.0, February 2004 Carmen De Vicente, Thomas Metz and Adriana Alercia <www.futureharvest.org> IPGRI is a Future Harvest Centre supported by the Consultative Group on International Agricultural Research (CGIAR) ii DESCRIPTORS FOR GENETIC MARKERS TECHNOLOGIES The International Plant Genetic Resources Institute (IPGRI) is an independent international scientific organization that seeks to advance the conservation and use of plant genetic diversity for the well-being of present and future generations. It is one of 16 Future Harvest Centres supported by the Consultative Group on International Agricultural Research (CGIAR), an association of public and private members who support efforts to mobilize cutting-edge science to reduce hunger and poverty, improve human nutrition and health, and protect the environment. IPGRI has its headquarters in Maccarese, near Rome, Italy, with offices in more than 20 other countries worldwide. The Institute operates through three programmes: (1) the Plant Genetic Resources Programme, (2) the CGIAR Genetic Resources Support Programme and (3) the International Network for the Improvement of Banana and Plantain (INIBAP). The international status of IPGRI is conferred under an Establishment Agreement which, by January 2003, had been signed by the Governments of Algeria, Australia, Belgium, Benin, Bolivia, Brazil, Burkina Faso, Cameroon, Chile, China, Congo, Costa Rica, Côte d’Ivoire, Cyprus, Czech Republic, Denmark, Ecuador, Egypt, Greece, Guinea, Hungary, India, Indonesia, Iran, Israel, Italy, Jordan, Kenya, Malaysia, Mauritania, Morocco, Norway, Pakistan, Panama, Peru, Poland, Portugal, Romania, Russia, Senegal, Slovakia, Sudan, Switzerland, Syria, Tunisia, Turkey, Uganda and Ukraine. Financial support for IPGRI’s research is provided by more than 150 donors, including governments, private foundations and international organizations. -
Genetic Engineering and Protein Synthesis
Key: Yellow highlight = required component Genetic Engineering and Protein Synthesis Subject Area(s) Biology Life Science Curricular Unit Title What does DNA do? Header Image 1 Image file: DNA.gif ADA Description: A computer generated model of DNA Source/Rights: Copyright © Spiffistan, Wikimedia Commons (http://commons.wikimedia.org/wiki/File:Bdna_cropped.gif) Caption: Double Stranded DNA structure Grade Level 9 (9-12) Summary This unit begins with an introduction to genetic engineering to grab the students attention before moving on to some basic biology topics. The entire gene expression process is covered, focusing on DNA transcription/translation and how this relates to protein synthesis. Mutations are also covered at the end of this unit to emphasize that changes to DNA are not always intentional. Multiple activities are included to help the students better understand the lessons. Engineering Connection Version: August 2013 1 Genetic engineering is a field with a growing number of practical applications. Engineers have developed genetic recombination techniques to manipulate gene sequences to have organisms express specific traits. It is integral that genetic engineers understand how traits are expressed and what effects will be produced by altering the DNA of an organism. Gene expression is a result of the protein synthesis process which reads DNA as a set of instructions for building specific proteins. Once this process is well understood, and genes are classified based on the desired trait, engineers develop ways to alter the genes to create a net benefit to us or the organism. This could include anything such as larger cows that produce more meat, pest resistant crops, or bacteria that produce fuel. -
Section 4. Guidance Document on Horizontal Gene Transfer Between Bacteria
306 - PART 2. DOCUMENTS ON MICRO-ORGANISMS Section 4. Guidance document on horizontal gene transfer between bacteria 1. Introduction Horizontal gene transfer (HGT) 1 refers to the stable transfer of genetic material from one organism to another without reproduction. The significance of horizontal gene transfer was first recognised when evidence was found for ‘infectious heredity’ of multiple antibiotic resistance to pathogens (Watanabe, 1963). The assumed importance of HGT has changed several times (Doolittle et al., 2003) but there is general agreement now that HGT is a major, if not the dominant, force in bacterial evolution. Massive gene exchanges in completely sequenced genomes were discovered by deviant composition, anomalous phylogenetic distribution, great similarity of genes from distantly related species, and incongruent phylogenetic trees (Ochman et al., 2000; Koonin et al., 2001; Jain et al., 2002; Doolittle et al., 2003; Kurland et al., 2003; Philippe and Douady, 2003). There is also much evidence now for HGT by mobile genetic elements (MGEs) being an ongoing process that plays a primary role in the ecological adaptation of prokaryotes. Well documented is the example of the dissemination of antibiotic resistance genes by HGT that allowed bacterial populations to rapidly adapt to a strong selective pressure by agronomically and medically used antibiotics (Tschäpe, 1994; Witte, 1998; Mazel and Davies, 1999). MGEs shape bacterial genomes, promote intra-species variability and distribute genes between distantly related bacterial genera. Horizontal gene transfer (HGT) between bacteria is driven by three major processes: transformation (the uptake of free DNA), transduction (gene transfer mediated by bacteriophages) and conjugation (gene transfer by means of plasmids or conjugative and integrated elements). -
Single Nucleotide Polymorphism (SNP) Discovery in Mammals
Molecular Ecology (2004) 13, 1423–1431 doi: 10.1111/j.1365-294X.2004.02159.x SingleBlackwell Publishing, Ltd. nucleotide polymorphism (SNP) discovery in mammals: a targeted-gene approach NICOLA AITKEN,* STEVEN SMITH,† CARSTEN SCHWARZ‡ and PHILLIP A. MORIN§ Laboratory for Conservation Genetics, Max Planck Institute for Evolutionary Anthropology, Inselstrasse 22, D-04103, Leipzig, Germany Abstract Single nucleotide polymorphisms (SNPs) have rarely been exploited in nonhuman and nonmodel organism genetic studies. This is due partly to difficulties in finding SNPs in species where little DNA sequence data exist, as well as to a lack of robust and inexpensive genotyping methods. We have explored one SNP discovery method for molecular ecology, evolution, and conservation studies to evaluate the method and its limitations for population genetics in mammals. We made use of ‘CATS’ (or ‘EPIC’) primers to screen for novel SNPs in mammals. Most of these primer sets were designed from primates and/or rodents, for amplifying intron regions from conserved genes. We have screened 202 loci in 16 repres- entatives of the major mammalian clades. Polymerase chain reaction (PCR) success correlated with phylogenetic distance from the human and mouse sequences used to design most primers; for example, specific PCR products from primates and the mouse amplified the most con- sistently and the marsupial and armadillo amplifications were least successful. Approxi- mately 24% (opossum) to 65% (chimpanzee) of primers produced usable PCR product(s) in the mammals tested. Products produced generally high but variable levels of readable sequence and similarity to the expected genes. In a preliminary screen of chimpanzee DNA, 12 SNPs were identified from six (of 11) sequenced regions, yielding a SNP on average every 400 base pairs (bp). -
Genome-Wide Mapping and Characterization of Microsatellites In
www.nature.com/scientificreports OPEN Genome-wide mapping and characterization of microsatellites in the swamp eel genome Received: 14 February 2017 Zhigang Li, Feng Chen, Chunhua Huang, Weixin Zheng, Chunlai Yu, Hanhua Cheng & Accepted: 26 April 2017 Rongjia Zhou Published: xx xx xxxx We described genome-wide screening and characterization of microsatellites in the swamp eel genome. A total of 99,293 microsatellite loci were identified in the genome with an overall density of 179 microsatellites per megabase of genomic sequences. The dinucleotide microsatellites were the most abundant type representing 71% of the total microsatellite loci and the AC-rich motifs were the most recurrent in all repeat types. Microsatellite frequency decreased as numbers of repeat units increased, which was more obvious in long than short microsatellite motifs. Most of microsatellites were located in non-coding regions, whereas only approximately 1% of the microsatellites were detected in coding regions. Trinucleotide repeats were most abundant microsatellites in the coding regions, which represented amino acid repeats in proteins. There was a chromosome-biased distribution of microsatellites in non-coding regions, with the highest density of 203.95/Mb on chromosome 8 and the least on chromosome 7 (164.06/Mb). The most abundant dinucleotides (AC)n was mainly located on chromosome 8. Notably, genomic mapping showed that there was a chromosome-biased association of genomic distributions between microsatellites and transposon elements. Thus, the novel dataset of microsatellites in swamp eel provides a valuable resource for further studies on QTL-based selection breeding, genetic resource conservation and evolutionary genetics. Swamp eel (Monopterus albus) taxonomically belongs to teleosts, the family Synbranchidae of the order Synbranchiformes (Neoteleostei, Teleostei, and Vertebrata). -
Genetic Markers and Plant Genetic Resource Management P
NCRPIS Publications and Papers North Central Regional Plant Introduction Station 1995 Genetic Markers and Plant Genetic Resource Management P. K. Bretting United States Department of Agriculture Mark P. Widrlechner Iowa State University, [email protected] Follow this and additional works at: http://lib.dr.iastate.edu/ncrpis_pubs Part of the Agricultural Science Commons, Agriculture Commons, and the Plant Breeding and Genetics Commons The ompc lete bibliographic information for this item can be found at http://lib.dr.iastate.edu/ ncrpis_pubs/75. For information on how to cite this item, please visit http://lib.dr.iastate.edu/ howtocite.html. This Book Chapter is brought to you for free and open access by the North Central Regional Plant Introduction Station at Iowa State University Digital Repository. It has been accepted for inclusion in NCRPIS Publications and Papers by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Plant Breeding Reviews, Volume 13 Edited by Jules Janick © 1995 John Wiley & Sons, Inc. ISBN: 978-0-471-57343-2 12 P. K. BRETTING AND M. P. WIDRLECHNER C. Maintenance 1. Maintaining Trueness-to-Type a. Morphological Traits b. Secondary Metabolites c. Isozymes, Seed Proteins, and DNA Markers d. Comparative Studies e. Pollination Control Methods 2. Monitoring Shifts in Population Genetic Structure in Heterogeneous Germplasm a. Deviations from Random Mating b. Regeneration of Autogamous Species 3. Monitoring Genetic Shifts Caused by Differential Viability in Storage 4. Monitoring Genetic Shifts Caused by In Vitro Culture 5. Monitoring Germplasm Viability and Health D. Utilization 1. Developing Optimal Utilization Strategies from Genetic Marker Data 2.