Relevant bibliographies by topics / Molecular genetic data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Molecular genetic data'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Molecular genetic data"

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Atramentova, L., and H. Ehyakonandeh. "Molecular genetic data in terms of associative and population genetics." 36, no. 36 (August 25, 2021): 35–40. http://dx.doi.org/10.26565/2075-5457-2021-36-4.

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In studies on associative genetics of various multifactorial diseases, it is most often found that the minor allele’s frequency in the group of patients is higher than in the group of healthy people. Due to reduced adaptation, the minor allele manifests itself as a disease. In the group of patients, the number of homozygotes by major allele is reduced, the number of heterozygous carriers of the provocative allele is increased, and the frequency of homozygotes by the provocative allele is significantly increased. The aim of this article was to analyze the unusual result for SNP 1298A/C of the M
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WEIR, B. S. "Statistical Analysis of Molecular Genetic Data." Mathematical Medicine and Biology 2, no. 1 (1985): 1–39. http://dx.doi.org/10.1093/imammb/2.1.1.

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Berrebi, Patrick, and Petr Ráb. "III‐Cytogenetic and molecular genetic data." Italian Journal of Zoology 65, sup1 (1998): 15–20. http://dx.doi.org/10.1080/11250009809386790.

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Butler, Amy W., Sarah Cohen-Woods, Anne Farmer, Peter McGuffin, and Cathryn M. Lewis. "Integrating Phenotypic Data For Depression." Journal of Integrative Bioinformatics 7, no. 3 (2010): 290–99. http://dx.doi.org/10.1515/jib-2010-136.

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Abstract The golden era of molecular genetic research brings about an explosion of phenotypic, genotypic and sequencing data. Building on the common aims to exploit understanding of human diseases, it also opens up an opportunity for scientific communities to share and combine research data. Genome-wide association studies (GWAS) have been widely used to locate genetic variants, which are susceptible for common diseases. In the field of medical genetics, many international collaborative consortiums have been established to conduct meta-analyses of GWAS results and to combine large genotypic da
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Beauchamp, Jonathan P., David Cesarini, Magnus Johannesson, et al. "Molecular Genetics and Economics." Journal of Economic Perspectives 25, no. 4 (2011): 57–82. http://dx.doi.org/10.1257/jep.25.4.57.

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The costs of comprehensively genotyping human subjects have fallen to the point where major funding bodies, even in the social sciences, are beginning to incorporate genetic and biological markers into major social surveys. How, if at all, should economists use and combine molecular genetic and economic data from these surveys? What challenges arise when analyzing genetically informative data? To illustrate, we present results from a “genome-wide association study” of educational attainment. We use a sample of 7,500 individuals from the Framingham Heart Study; our dataset contains over 360,000
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HELLARD, S., C. A. M. SEMPLE, S. W. MORRIS, D. J. PORTEOUS, and K. L. EVANS. "Physical mapping: integrating computational and molecular genetic data." Annals of Human Genetics 65, no. 3 (2001): 221–28. http://dx.doi.org/10.1046/j.1469-1809.2001.6530221.x.

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LE HELLARD, S., C. A. M. SEMPLE, S. W. MORRIS, D. J. PORTEOUS, and K. L. EVANS. "Physical mapping: integrating computational and molecular genetic data." Annals of Human Genetics 65, no. 3 (2001): 221–28. http://dx.doi.org/10.1017/s0003480001008594.

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Domingo-Roura, X., J. Marmi, J. F. López-Giráldez, and E. García-Franquesa. "New molecular challenges in animal conservation." Animal Biodiversity and Conservation 24, no. 1 (2001): 19–29. https://doi.org/10.32800/abc.2001.24.0019.

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The contribution of genetics to wildlife conservation has been stressed often forgetting the existing theoretical and empirical limitations in the use of genetic information to solve ecological and demographic problems. The possibilities of molecular analyses are extensive and the automation of procedures is increasing the efficiency and reducing the cost of molecular technology. With large amounts of molecular data already available, the interest is switching towards the analysis of these data and the interpretation of genetic variability within and across species from a functional perspectiv
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Shields, Denis C., and Aisling M. O'Halloran. "Integrating Genotypic Data with Transcriptomic and Proteomic Data." Comparative and Functional Genomics 3, no. 1 (2002): 22–27. http://dx.doi.org/10.1002/cfg.135.

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Historically genotypic variation has been detected at the phenotypic level, at the metabolic level, and at the protein chemistry level. Advances in technology have allowed its direct visualisation at the level of DNA variation. Nevertheless, there is still an enormous interest in phenotypic, metabolic and protein property variability, since such variation gives insights into potential functionally important differences conferred by genetic variation. High-throughput transcriptomics and proteomics applied to different individuals drawn from a population has the potential to identify the functio
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Chesnokov, Yu V. "GENETIC MARKERS: COMPARATIVE CLASSIFICATION OF MOLECULAR MARKERS." Vegetable crops of Russia, no. 3 (July 25, 2018): 11–15. http://dx.doi.org/10.18619/2072-9146-2018-3-11-15.

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With the creation of the molecular markers allowing to carry out analysis of genotypes on the level initial genetic information – DNA, onset one of the most multifarious and one of the most large in number class of markers at the present day. It is concerned with that each separate nucleic acid sequence is unique on its structure. Set of molecular and genetic methods, named as DNA-fingerprinting, most wide used in modern investigations for solving different problems in different biological areas. In this connection, necessity in comparative classification of modern molecular and genetic marker
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Dissertations / Theses on the topic "Molecular genetic data"

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Liu, Kejun. "Software and Methods for Analyzing Molecular Genetic Marker Data." NCSU, 2003. http://www.lib.ncsu.edu/theses/available/etd-07182003-122001/.

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Genetic analysis of molecular markers has allowed biologists to ask a wide variety of questions. This dissertation explores some aspects of the statistical and computational issues used in the genetic marker data analysis. Chapter 1 gives an introduction to genetic marker data, as well as a brief description to each chapter. Chapter 2 presents the different genetic analyses performed on a large data set and discusses the use of microsatellites to describe the maize germplasm and to improve maize germplasm maintenance. Considerable attention is focused on how the maize germplasm is organized an
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Ahnert, S. E. "Implementations of information theory in molecular dynamics, quantum measurement and genetic data analysis." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595400.

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The research presented in this thesis is divided into three topics, all of which are related to different areas of Information Theory. Firstly I have worked with my supervisor Professor Mike Payne on proposals for the implementation of two different types of quantum measurements of single photons, namely generalized measurements and weak measurements. This research belongs to the field of Quantum Information Theory. My second area of research has been Molecular Dynamics. With Gabor Csanyi I have worked on the development of a new way of constructing empirical potentials, which are needed for t
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Jacinto, João Miguel Antunes. "Morphological and genetic characterization of four populations of Corema album (L.) D.Don." Master's thesis, ISA/UL, 2019. http://hdl.handle.net/10400.5/18344.

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Mestrado em Engenharia Agronómica - Instituto Superior de Agronomia / UL<br>Corema album (L.) D. Don 1830, is a dioecious shrub from the Ericaceae family, that can be found in the coastal Atlantic dune systems and coastal pine tree forests of Portugal and Spain with a potential to integrate the berry market. For the first work eighty plants were sampled from Monte Clérigo, Comporta, Aldeia do Meco and Dunas de Quiaios. Six plants from Meco were chosen to follow their reproductive phenology from March to August. Finally twenty-nine morphological traits were evaluated, both from vegetative and
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Luo, Yuqun. "Incorporation of genetic marker information in estimating model parameters for complex traits with data from large complex pedigrees /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486549482668451.

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Evenstone, Lauren. "Employing Limited Next Generation Sequence Data for the Development of Genetic Loci of Phylogenetic and Population Genetic Utility." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2191.

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Massively parallel high throughput sequencers are transforming the scientific research by reducing the cost and time necessary to sequence entire genomes. The goal of this project is to produce preliminary genome assemblies of calliphorid flies using Life Technologies’ Ion Torrent sequencing and Illumina’s MiSeq sequencing. I located, assembled, and annotated a novel mitochondrial genome for one such fly, the little studied Chrysomya pacifica that is central to one hypothesis about blow fly evolution. With sequencing data from Chrysomya megacephala, its forensically relevant sister species, mu
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Lima, Bruno Marco de. "Bridging genomics and quantitative genetics of Eucalyptus: genome-wide prediction and genetic parameter estimation for growth and wood properties using high-density SNP data." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/11/11137/tde-25062014-085814/.

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Convergence of quantitative genetics and genomics is becoming the way that fundamental genetics and applied breeding will be carried out in the next decades. This study bridges the quantitative genetics of complex growth and wood properties traits with genomic technologies towards a more innovative approach to tree breeding. Planted forests play a major role to fulfill the growing world demand for wood products and energy. Eucalypts stand out for their high productivity and versatile wood resulting from the advanced breeding programs associated to clonal propagation and modern silviculture. De
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Weber-Townsend, Joshua R. "Contributions of Genetic Data to the Conservation and Management of the Threatened American Hart's-Tongue Fern (Asplenium Scolopendrium var. Americanum)." Thesis, State University of New York Col. of Environmental Science & Forestry, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10274085.

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<p> This study analyzes the range-wide genetic diversity and population structure of American hart&rsquo;s-tongue fern (<i>Asplenium scolopendrium</i> var. <i>americanum</i>, AHTF), a rare fern species in the eastern United States. AHTF populations from New York, Michigan, Alabama, Tennessee, and Canada are examined using combined simple-sequence repeat and inter-simple sequence repeat markers. Genetic data provide insights on levels of genetic diversity, population structure, genetic differentiation, gene flow, total allele frequency, number of rare alleles, linkage disequilibrium and mating
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Mizaku, Alda. "Biomolecular feature selection of colorectal cancer microarray data using GA-SVM hybrid and noise perturbation to address overfitting." Diss., Online access via UMI:, 2009.

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Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Bioengineering, Biomedical Engineering, 2009.<br>Includes bibliographical references.
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Papakonstantinou, Dimitrios. "Genetic and transcriptomic analysis of pancreatic ductal adenocarcinoma Monocytes and macrophages as a tool to analyse patient molecular data." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASL009.

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Cette thèse de doctorat porte sur la caractérisation moléculaire de patients souffrant d'un adénocarcinome canalaire pancréatique (PDAC), une forme particulièrement agressive et mortelle de cancer.Cette recherche étudie le microenvironnement tumoral du PDAC, en mettant l'accent sur la compréhension du rôle des cellules immunitaires, notamment les macrophages, dans la biologie des tumeurs.Nous avons combiné différentes approches, notamment le profilage transcriptomique et mutationnel ainsi que la transcriptomique spatiale.Nous avons observé qu'une cohorte locale de patients atteints de PDAC pou
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Payne, Adrienne. "Harnessing the genetic diversity of watercess (Rorippa nasturtium-aquaticum) for improved morphology and anticancer benefits : underpinning data for molecular breeding." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/338973/.

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Watercress (Rorippa nasturtium-aquaticum) is a member of the Brassicaceae family. Increasing interest in healthy diets has turned the focus to watercress since it is known to contain one of the highest concentrations of the beneficial antioxidant phenethyl isothiocyanate (PEITC). This has exciting possibilities to breed a higher quality crop with increased concentrations of this key antioxidant providing a meachanism to aid in the prevention of cancer. Dwarfism is another desirable characteristic for many agricultural crops. A crop with a reduced stem length produces a stable increased yield a
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Books on the topic "Molecular genetic data"

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R, König Inke, ed. A statistical approach to genetic epidemiology. 2nd ed. Wiley-VCH, 2010.

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Workshop, on the Analysis of Genetic Data to Address Problems of Stock Identity as Related to Management of Marine Mammals (1994 Southwest Fisheries Science Center La Jolla Calif ). Molecular genetics of marine mammals: Incorporating the proceedings of a Workshop on the Analysis of Genetic Data to Address Problems of Stock Identity as Related to Management of Marine Mammals. Society for Marine Mammalogy, 1997.

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CMSB 2008 (2008 Rostock, Germany). Computational methods in systems biology: 6th international conference, CMSB 2008, Rostock, Germany, October 12-15, 2008 : proceedings. Springer, 2008.

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CMSB 2008 (2008 Rostock, Germany). Computational methods in systems biology: 6th international conference, CMSB 2008, Rostock, Germany, October 12-15, 2008 : proceedings. Springer, 2008.

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Pevsner, Jonathan. Bioinformatics and Functional Genomics. John Wiley & Sons, Ltd., 2005.

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Puhal'skiy, Vitaliy. Introduction to Genetics. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1019851.

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The textbook outlines the cytological foundations of heredity, the regularities of Mendelian genetics, the chromosomal theory of heredity, the basics of molecular genetics and genetic engineering, the patterns of inheritance during distant hybridization, polyplodia and mutagenesis. Special attention is paid to the heterosis and genetics of populations. A significant part of the data is presented in the form of figures, diagrams, graphs and tables that facilitate the understanding of the material presented.&#x0D; Meets the requirements of the federal state educational standards of higher educat
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M, Calder, and Gilmore Stephen 1962-, eds. Computational methods in systems biology: International Conference CMSB 2007, Edinburgh, Scotland, September 20-21, 2007 : proceedings. Springer, 2007.

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Javier, Cabrera, ed. Exploration and analysis of DNA microarray and protein array data. John Wiley, 2004.

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Louxin, Zhang, ed. Sequence comparison: Theory and methods. Springer, 2009.

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Degano, Pierpaolo. Computational Methods in Systems Biology: 7th International Conference, CMSB 2009, Bologna, Italy, August 31-September 1, 2009. Proceedings. Springer Berlin Heidelberg, 2009.

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Book chapters on the topic "Molecular genetic data"

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Meystre, Stephane M., Ramkiran Gouripeddi, and Alexander V. Alekseyenko. "Molecular, Genetic, and Other Omics Data." In Health Informatics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27173-1_16.

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Meirmans, Patrick G. "Analyzing Autopolyploid Genetic Data Using GenoDive." In Methods in Molecular Biology. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2561-3_14.

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Pedroso, Inti. "Gaining a Pathway Insight into Genetic Association Data." In Methods in Molecular Biology. Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60327-367-1_20.

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Koropoulis, Angelos, Nikolaos Alachiotis, and Pavlos Pavlidis. "Detecting Positive Selection in Populations Using Genetic Data." In Methods in Molecular Biology. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0199-0_5.

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Jiang, Lulu, and Hai Fang. "Genetic Interaction Network Interpretation: A Tidy Data Science Perspective." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0947-7_22.

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Jiménez-Madrigal, José P., Bradley J. Till, and Andrés Gatica-Arias. "Genetic Diversity Assessment in Plants from Reduced Representation Sequencing Data." In Methods in Molecular Biology. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3778-4_7.

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Morota, Gota, Diego Jarquin, Malachy T. Campbell, and Hiroyoshi Iwata. "Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping Data." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2537-8_21.

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AbstractThe advent of plant phenomics, coupled with the wealth of genotypic data generated by next-generation sequencing technologies, provides exciting new resources for investigations into and improvement of complex traits. However, these new technologies also bring new challenges in quantitative genetics, namely, a need for the development of robust frameworks that can accommodate these high-dimensional data. In this chapter, we describe methods for the statistical analysis of high-throughput phenotyping (HTP) data with the goal of enhancing the prediction accuracy of genomic selection (GS)
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Santos, Carla, Chris Phillips, A. Gomez-Tato, J. Alvarez-Dios, Ángel Carracedo, and Maria Victoria Lareu. "Inference of Ancestry in Forensic Analysis II: Analysis of Genetic Data." In Methods in Molecular Biology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3597-0_19.

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Adam-Blondon, A. F., M. Alaux, S. Durand, et al. "Mining Plant Genomic and Genetic Data Using the GnpIS Information System." In Methods in Molecular Biology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6658-5_5.

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Wiegrefe, S. J., R. P. Guries, E. B. Smalley, and K. J. Sytsma. "Genetic Diversity in Elms: What Molecular Data Tell Us." In Dutch Elm Disease Research. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4615-6872-8_19.

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Conference papers on the topic "Molecular genetic data"

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Kozyra, Jerzy, Harold Fellermann, Ben Shirt-Ediss, Annunziata Lopiccolo, and Natalio Krasnogor. "Optimizing nucleic acid sequences for a molecular data recorder." In GECCO '17: Genetic and Evolutionary Computation Conference. ACM, 2017. http://dx.doi.org/10.1145/3071178.3071345.

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Sadovnychenko, Iurii, and Nataliia Pastukhova. "Open data of molecular genetic research through the prism of global trends." In First International Conference "Open Science and Innovation in Ukraine 2022". State Scientific and Technical Library of Ukraine, 2022. http://dx.doi.org/10.35668/978-966-479-129-5-7-18.

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The availability analysis of genetic databases in the articles of Ukrainian and foreign scientists was performed. Only 6.4 % of articles in domestic journals provided data on the subjects’ genotype and haplotype distribution. Most journals are open access, but their editorial policy does not postulate their commitment to open data sharing.
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Schaffer, J. D., A. Janevski, and M. R. Simpson. "A Genetic Algorithm Approach for Discovering Diagnostic Patterns in Molecular Measurement Data." In 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE, 2005. http://dx.doi.org/10.1109/cibcb.2005.1594945.

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Guan, JianLin, and Jing Liu. "LSTM Molecular Descriptor-Free QSAR Application Research Based on Genetic Algorithm Optimization." In 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). IEEE, 2022. http://dx.doi.org/10.1109/icbaie56435.2022.9985894.

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Voinova, V. Y., M. A. M.A., O. S. Grosnova, and S. V. Bochenkov. "Syndromic Forms of Children’s Mental Development Disorders." In Proceedings of III Research-to-Practice Conference with International Participation “The Value of Everyone. The Life of a Person with Mental Disorder: Support, Life Arrangements, Social Integration”. Terevinf, 2023. http://dx.doi.org/10.61157/978-5-4212-0676-7-2023-68-72.

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The molecular genetic basis of autism spectrum disorders (ASD) was analyzed in a cohort of more than 4,000 Russian patients with hereditary diseases. 88 children in the examined cohort had genetic variants, probably pathogenic or pathogenic, in genes associated with the development of ASD. Whole genome sequencing revealed 114 different molecular events that could be the cause of their disease. 60% of molecular events are annotated as variants of unclear clinical significance. The greatest number of variants was found in the CHD8 gene. Pathogenic variants in this gene are considered one of the
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Nogueira, Patrícia, and Vítor J. Sá. "New Biopython Library to Support Molecular Biology." In VII Congreso XoveTIC: impulsando el talento científico. Servizo de Publicacións. Universidade da Coruña, 2024. https://doi.org/10.17979/spudc.9788497498913.1.

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Biopython is a library that facilitates the development of applications for Bioinformatics, using the Python programming language. Maintained by an international association of programmers - the Open Bioinformatics Foundation - since 1999, it provides tools for analyzing biological sequences and accessing online databases like NCBI. It features modules for sequence alignment, protein structures, population genetics, and more. Since the library is open-source with the collaboration of several developers, the project aimed to create a new library that used to existing API services such as Expasy
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WANG, Shih-Shuan, Ionela-Roxana PUIU, Eugen Silviu VRĂJITORU, and Marian Stafie. "MILITARY BLOCKCHAIN IN HEALTHCARE TO SUPPORT CLINICAL DATA." In SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE. Publishing House of "Henri Coanda" Air Force Academy, 2022. http://dx.doi.org/10.19062/2247-3173.2022.23.17.

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Using the advent of quick and effective next-generation sequencing technologies, unlinked and dispersed patient data have surfaced as a major problem in diagnosing uncommon diseases. The molecular associated with the rare disease entails comparing a patient’s genetic variant information with the variations more with comparable diseases in a big population. Therefore, discussing information among genetic databases plus laboratories is important in order to identify overlapping outcomes and for identifying the pathogenic importance of variants in order to allow the analysis of rare hereditary di
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Toan, Le Chi, Nguyen Thi Phuong Thao, Nguyen Thi Anh Duong, et al. "STUDY ON PHYLOGENETIC POSITION AND GENETIC RELATIONSHIP OF ALTINGIA EXCELSA NORONHA FROM LAO CAI, VIETNAM BY MOLECULAR DATA." In NGHIÊN CỨU VÀ GIẢNG DẠY SINH HỌC Ở VIỆT NAM - BIOLOGICAL RESEARCH AND TEACHING IN VIETNAM. Nhà xuất bản Khoa học tự nhiên và Công nghệ, 2022. http://dx.doi.org/10.15625/vap.2022.0038.

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Bratová, M., K. Brat, J. Skrickova, et al. "Current Practice in Molecular Genetic Testing in NSCLC Patients in Czechia. Data from the TULUNG Registry 2011-2021." In ERS International Congress 2022 abstracts. European Respiratory Society, 2022. http://dx.doi.org/10.1183/13993003.congress-2022.56.

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Carvalho, Débora Medeiros de, Kamila Bezerra Fernandes Diocesano, Sabas Carlos Vieira, et al. "Epidemiological and histo-molecular profile of patients with breast cancer who underwent genetic testing at a tertiary clinic in northeastern Brazil." In Brazilian Breast Cancer Symposium 2023. Mastology, 2023. http://dx.doi.org/10.29289/259453942023v33s1069.

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Objective: The aim of this study was to describe the epidemiological and histo-molecular profile of patients with breast cancer (CAM) who underwent genetic testing at an oncology clinic in northeastern Brazil. Methodology: This is a retrospective cohort study on patients with CAM who underwent genetic testing from 1998 to 2022 at a tertiary clinic in northeastern Brazil and who underwent multigene panel testing for hereditary cancer predisposition syndromes. Results: Data were collected from 208 patients, of which 122 had CAM. Of these, 14.75% were BRCA1, 11.47% were BRCA 2, 15.57% were VUS, 4
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Reports on the topic "Molecular genetic data"

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O'Neill, Sharman, Abraham Halevy, and Amihud Borochov. Molecular Genetic Analysis of Pollination-Induced Senescence in Phalaenopsis Orchids. United States Department of Agriculture, 1991. http://dx.doi.org/10.32747/1991.7612837.bard.

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The project investigated the molecular genetic and biochemical basis of pollination-induced senescence of Phalaenopsis flowers. This experimental system offered unique advantages in that senescence is strictly regulated by pollination, providing the basis to experimentally initiate and synchronize senescence in populations of flowers. The postpollination syndrome in the Phalaenopsis orchid system was dissected by investigating the temporal and spatial regulation of ACC synthase gene expression. In the stigma, pollen-borne auxin induces the expression of the auxin-regulated ACC synthase (PS-ACS
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Kistler, Harold Corby, Talma Katan, and Dani Zamir. Molecular Karyotypes of Pathogeic Strains of Fusarium oxysporum. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7604927.bard.

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Genetic diversity of pathogenic strains of the fungus Fusarium oxysporum was determied by analysis of electrophoretic karyotype, as well as by DNA variation detected by Restriction Fragment Length Polymorphisms (RFLPs) and Random Amplified Polymorphic DNAs (RAPDs). The electrophoretic karyotypes for 130 isolates of the fungus pathogenic to tomato, melon, and banana were analyzed. Electrophoretic karyotype variation, reflected in differences in apparent chromosome number and genome size, was observed even among isolates from the same host and sub specific category. Sub specific categories studi
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Bennett, Alan B., Arthur Schaffer, and David Granot. Genetic and Biochemical Characterization of Fructose Accumulation: A Strategy to Improve Fruit Quality. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7571353.bard.

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The goal of the research project was to evaluate the potential to genetically modify or engineer carbohydrate metabolism in tomato fruit to enhance levels of fructose, a sugar with nearly twice the sweetness value of other sugars. The specific research objectives to achieve that goal were to: 1. Establish the inheritance of a fructose-accumulating trait identified in F1 hybrids of an inferspecific cross between L. hirsutum XL. esculentum and identify linked molecular markers to facilitate its introgression into tomato cultivars. This objective was completed with the genetic data indicating a s
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Lers, Amnon, Majid R. Foolad, and Haya Friedman. genetic basis for postharvest chilling tolerance in tomato fruit. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7600014.bard.

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ABSTRACT Postharvest losses of fresh produce are estimated globally to be around 30%. Reducing these losses is considered a major solution to ensure global food security. Storage at low temperatures is an efficient practice to prolong postharvest performance of crops with minimal negative impact on produce quality or human health and the environment. However, many fresh produce commodities are susceptible to chilling temperatures, and the application of cold storage is limited as it would cause physiological chilling injury (CI) leading to reduced produce quality. Further, the primary CI becom
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Weller, Joel, Harris Lewin, Micha Ron, and George Wiggans. Detection and Mapping of Genes Affecting Traits of Economic Importance in Dairy Cattle with the Aid of Molecular Genetic Markers. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7613024.bard.

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Forty-seven poly-TG microsatellites were developed at the U of IL, and 11 genetic markers were developed at ARO, nine of which were poly-AGC microsatellites. Markers were typed on the reference families of CSIRO, Australia; GRANADA, Texas; and IRRF, Illinois, for chromosome assignment and linkage mapping. Nine North American al organizations contributed semen to the Dairy Bull DNA Repository (DBDR), which currently has 65,743 units from 3366 bulls. Semen was obtained for 31 out of 35 grandsires. Semen of 28 and 23 sons of two Israeli bulls was also collected. Eighteen grandsires were genotyped
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Michelmore, Richard, Eviatar Nevo, Abraham Korol, and Tzion Fahima. Genetic Diversity at Resistance Gene Clusters in Wild Populations of Lactuca. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7573075.bard.

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Genetic resistance is often the least expensive, most effective, and ecologically-sound method of disease control. It is becoming apparent that plant genomes contain large numbers of disease resistance genes. However, the numbers of different resistance specificities within a genepool and the genetic mechanisms generating diversity are poorly understood. Our objectives were to characterize diversity in clusters of resistance genes in wild progenitors of cultivated lettuce in Israel and California in comparison to diversity within cultivated lettuce, and to determine the extent of gene flow, re
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Sherman, A., D. N. Kuhn, Y. Cohen, R. Ophir, and R. Goenaga. Exploring the polyembryonic seed trait in mango as a basis for a biotechnology platform for fruit tree crops. United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134176.bard.

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Mango is one of the most important fruit crops. However, the biology of this fruit tree is under studied. The lack of genetic and genomic resources has limited progress in mango research and breeding. Several research groups have recently started developing genomic tools for mango by creating transcriptome and genomic data. Sexual reproduction in plants is the main pathway for the creation of new genetic combinations. In modern agriculture, breeders exploit the genetic diversity generated through sexual reproduction to develop elite cultivars; however, these cultivars require genetic stabiliza
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Eyal, Yoram, and Sheila McCormick. Molecular Mechanisms of Pollen-Pistil Interactions in Interspecific Crossing Barriers in the Tomato Family. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7573076.bard.

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During the evolutionary process of speciation in plants, naturally occurring barriers to reproduction have developed that affect the transfer of genes within and between related species. These barriers can occur at several different levels beginning with pollination-barriers and ending with hybrid-breakdown. The interaction between pollen and pistils presents one of the major barriers to intra- and inter-specific crosses and is the focus of this research project. Our long-term goal in this research proposal was defined to resolve questions on recognition and communication during pollen-pistil
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McCarthy, Noel, Eileen Taylor, Martin Maiden, et al. Enhanced molecular-based (MLST/whole genome) surveillance and source attribution of Campylobacter infections in the UK. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.ksj135.

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This human campylobacteriosis sentinel surveillance project was based at two sites in Oxfordshire and North East England chosen (i) to be representative of the English population on the Office for National Statistics urban-rural classification and (ii) to provide continuity with genetic surveillance started in Oxfordshire in October 2003. Between October 2015 and September 2018 epidemiological questionnaires and genome sequencing of isolates from human cases was accompanied by sampling and genome sequencing of isolates from possible food animal sources. The principal aim was to estimate the co
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Yogev, David, Ricardo Rosenbusch, Sharon Levisohn, and Eitan Rapoport. Molecular Pathogenesis of Mycoplasma bovis and Mycoplasma agalactiae and its Application in Diagnosis and Control. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7573073.bard.

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Mycoplasma bovis and M. agalactiae are two phylogenetically related mycoplasmas which cause economically significant diseases in their respective bovine or small ruminant hosts. These organisms cause persistent asymptomatic infections that can result in severe outbreaks upon introduction of carrier animals into susceptible herds. Little is known about the mechanisms underlying mycoplasma-host interaction, variation in virulence, or of the factors enabling avoidance of the host immune system. In recent years it has become apparent that the ability of pathogenic microorganisms to rapidly alter s
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