Genetic Markers, Map Construction, and Their Application in Plant Breeding Jack E
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Gene Mapping Techniques
Developmental Neurobiology, edited by Philippe Evrard and Alexandre Minkowski. Nestle Nutrition Workshop Series, Vol. 12. Nestec Ltd., Vevey/Raven Press, Ltd., New York © 1989. Gene Mapping Techniques Jean-Louis Guenet Institut Pasteur, 75724 Paris Cedex 15, France Very accurate gene mapping is essential in both man and laboratory mammals (1- 3). Several techniques have been used over the last 50 years to localize mammalian genes on the chromosomes of a given species. This chapter reviews these tech- niques, with special emphasis on the most recent ones that represent a true break- through in formal genetics. CLASSICAL GENE MAPPING TECHNIQUES AND THEIR LIMITATIONS When two genes are linked they have a tendency to cosegregate during successive generations. The closer the linkage, the more absolute is the cosegregation. This is the fundamental principle of gene mapping, which has been successfully applied to all species, including plants, over many years. In mammals such as humans and mice, the continued discovery of marker genes scattered throughout the genome has facilitated the mapping of new genes so that we now possess for these two species, particularly the mouse, linkage maps that are far more detailed than those existing for other mammals. In the mouse, special matings can be set up, with appropriate stocks, to test for possible autosomal linkage after two successive reproductive rounds: In general, cross-back crosses are used, cross-intercrosses being reserved for studies in which the viability or the fertility of the homozygous mutant under study is impaired. In humans investigations concerning linkage are based on pedigree analysis. In other words, for both species it is essential to define as a starting point a situa- tion where two genes are heterozygous and either in repulsion A + / + B or in cou- pling AB/ + +, then to look for changes in this configuration after a reproductive cycle (forms in coupling giving rise to forms in repulsion and vice versa), and fi- nally to count the percentage or frequency of these recombination events. -
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. -
Genetic Mapping and Manipulation: Chapter 2-Two-Point Mapping with Genetic Markers* §
Genetic mapping and manipulation: Chapter 2-Two-point mapping with genetic markers* § David Fay , Department of Molecular Biology, University of Wyoming, Laramie, Wyoming 82071-3944 USA Table of Contents 1. The basics ..............................................................................................................................1 2. Calculating map distances ......................................................................................................... 3 3. Other considerations ................................................................................................................. 5 4. References ..............................................................................................................................6 1. The basics The basics. Two-point mapping, wherein a mutation in the gene of interest is mapped against a marker mutation, is primarily used to assign mutations to individual chromosomes. It can also give at least a rough indication of distance between the mutation and the markers used. On the surface, the concept of two-point mapping to determine chromosomal linkage is relatively straightforward. It can, however, be the source of some confusion when it comes to processing the actual data based on phenotypic frequencies to accurately determine genetic distances. It is also worth noting that most researchers don't bother much with exhaustive two-point mapping anymore. Once we've assigned our mutation to a linkage group, it's generally off to the races with three-point and SNP mapping -
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. -
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. -
Integrating Genetic Linkage Maps with Pachytene Chromosome Structure in Maize
Copyright 2004 by the Genetics Society of America Integrating Genetic Linkage Maps With Pachytene Chromosome Structure in Maize Lorinda K. Anderson,*,1 Naser Salameh,† Hank W. Bass,‡ Lisa C. Harper,§ W. Z. Cande,§ Gerd Weber† and Stephen M. Stack* *Department of Biology, Colorado State University, Fort Collins, Colorado 80523, †Department of Plant Breeding and Biotechnology, University of Hohenheim, D-70593 Stuttgart, Germany, ‡Department of Biological Science, Florida State University, Tallahassee, Florida 32306 and §Department of Molecular and Cell Biology, University of California, Berkeley, California 94720 Manuscript received November 4, 2003 Accepted for publication January 9, 2004 ABSTRACT Genetic linkage maps reveal the order of markers based on the frequency of recombination between markers during meiosis. Because the rate of recombination varies along chromosomes, it has been difficult to relate linkage maps to chromosome structure. Here we use cytological maps of crossing over based on recombination nodules (RNs) to predict the physical position of genetic markers on each of the 10 chromosomes of maize. This is possible because (1) all 10 maize chromosomes can be individually identified from spreads of synaptonemal complexes, (2) each RN corresponds to one crossover, and (3) the frequency of RNs on defined chromosomal segments can be converted to centimorgan values. We tested our predic- tions for chromosome 9 using seven genetically mapped, single-copy markers that were independently mapped on pachytene chromosomes using in situ hybridization. The correlation between predicted and observed locations was very strong (r2 ϭ 0.996), indicating a virtual 1:1 correspondence. Thus, this new, high-resolution, cytogenetic map enables one to predict the chromosomal location of any genetically mapped marker in maize with a high degree of accuracy. -
HUMAN GENE MAPPING WORKSHOPS C.1973–C.1991
HUMAN GENE MAPPING WORKSHOPS c.1973–c.1991 The transcript of a Witness Seminar held by the History of Modern Biomedicine Research Group, Queen Mary University of London, on 25 March 2014 Edited by E M Jones and E M Tansey Volume 54 2015 ©The Trustee of the Wellcome Trust, London, 2015 First published by Queen Mary University of London, 2015 The History of Modern Biomedicine Research Group is funded by the Wellcome Trust, which is a registered charity, no. 210183. ISBN 978 1 91019 5031 All volumes are freely available online at www.histmodbiomed.org Please cite as: Jones E M, Tansey E M. (eds) (2015) Human Gene Mapping Workshops c.1973–c.1991. Wellcome Witnesses to Contemporary Medicine, vol. 54. London: Queen Mary University of London. CONTENTS What is a Witness Seminar? v Acknowledgements E M Tansey and E M Jones vii Illustrations and credits ix Abbreviations and ancillary guides xi Introduction Professor Peter Goodfellow xiii Transcript Edited by E M Jones and E M Tansey 1 Appendix 1 Photographs of participants at HGM1, Yale; ‘New Haven Conference 1973: First International Workshop on Human Gene Mapping’ 90 Appendix 2 Photograph of (EMBO) workshop on ‘Cell Hybridization and Somatic Cell Genetics’, 1973 96 Biographical notes 99 References 109 Index 129 Witness Seminars: Meetings and publications 141 WHAT IS A WITNESS SEMINAR? The Witness Seminar is a specialized form of oral history, where several individuals associated with a particular set of circumstances or events are invited to meet together to discuss, debate, and agree or disagree about their memories. The meeting is recorded, transcribed, and edited for publication. -
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. -
Mapping Genomes
472 Chapter 17 | Biotechnology and Genomics the bacterium Agrobacterium tumefaciens occur by DNA transfer from the bacterium to the plant. Although the tumors do not kill the plants, they stunt the plants and they become more susceptible to harsh environmental conditions. A. tumefaciens affects many plants such as walnuts, grapes, nut trees, and beets. Artificially introducing DNA into plant cells is more challenging than in animal cells because of the thick plant cell wall. Researchers used the natural transfer of DNA from Agrobacterium to a plant host to introduce DNA fragments of their choice into plant hosts. In nature, the disease-causing A. tumefaciens have a set of plasmids, Ti plasmids (tumor-inducing plasmids), that contain genes to produce tumors in plants. DNA from the Ti plasmid integrates into the infected plant cell’s genome. Researchers manipulate the Ti plasmids to remove the tumor-causing genes and insert the desired DNA fragment for transfer into the plant genome. The Ti plasmids carry antibiotic resistance genes to aid selection and researchers can propagate them in E. coli cells as well. The Organic Insecticide Bacillus thuringiensis Bacillus thuringiensis (Bt) is a bacterium that produces protein crystals during sporulation that are toxic to many insect species that affect plants. Insects need to ingest Bt toxin in order to activate the toxin. Insects that have eaten Bt toxin stop feeding on the plants within a few hours. After the toxin activates in the insects' intestines, they die within a couple of days. Modern biotechnology has allowed plants to encode their own crystal Bt toxin that acts against insects.