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Relevant bibliographies by topics / Genetic Epistasis

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Academic literature on the topic 'Genetic Epistasis'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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Journal articles on the topic "Genetic Epistasis"

1

Cheverud, J. M., and E. J. Routman. "Epistasis and its contribution to genetic variance components." Genetics 139, no. 3 (1995): 1455–61. http://dx.doi.org/10.1093/genetics/139.3.1455.

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Abstract We present a new parameterization of physiological epistasis that allows the measurement of epistasis separate from its effects on the interaction (epistatic) genetic variance component. Epistasis is the deviation of two-locus genotypic values from the sum of the contributing single-locus genotypic values. This parameterization leads to statistical tests for epistasis given estimates of two-locus genotypic values such as can be obtained from quantitative trait locus studies. The contributions of epistasis to the additive, dominance and interaction genetic variances are specified. Epis

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Garel, Makouanzi Ekomono Chrissy, and Vigneron Philippe. "Estimating of Additive, Dominance, and Epistatic Genetic Variance in Eucalypt Hybrid Population." Silvae Genetica 71, no. 1 (2022): 39–46. http://dx.doi.org/10.2478/sg-2022-0005.

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Abstract Additive, dominance and epistasis genetic variances were estimated from analysis of a clonally replicated full-sib progeny test grown in the Republic of Congo. Phenotypic variance components were estimated for ages 4 through 25 months for growth and at ages 8 and 18 months for ecophysiological traits. The estimation of genetics effects was derived from the individual mixed model. Genetic structure was incorporated into variances and covariance’s effects based on markers information. The detected genetic effects of epistasis are significant in some traits. This study shows that epistas

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Nodzenski, Michael, Min Shi, Juno M. Krahn, et al. "GADGETS: a genetic algorithm for detecting epistasis using nuclear families." Bioinformatics 38, no. 4 (2021): 1052–58. http://dx.doi.org/10.1093/bioinformatics/btab766.

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Abstract Motivation Epistasis may play an etiologic role in complex diseases, but research has been hindered because identification of interactions among sets of single nucleotide polymorphisms (SNPs) requires exploration of immense search spaces. Current approaches using nuclear families accommodate at most several hundred candidate SNPs. Results GADGETS detects epistatic SNP-sets by applying a genetic algorithm to case-parent or case-sibling data. To allow for multiple epistatic sets, island subpopulations of SNP-sets evolve separately under selection for evident joint relevance to disease r

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YAMAMOTO, AKIHIKO, ROBERT R. H. ANHOLT, and TRUDY F. C. MACKAY. "Epistatic interactions attenuate mutations affecting startle behaviour in Drosophila melanogaster." Genetics Research 91, no. 6 (2009): 373–82. http://dx.doi.org/10.1017/s0016672309990279.

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SummaryEpistasis is an important feature of the genetic architecture of quantitative traits. Previously, we showed that startle-induced locomotor behaviour of Drosophila melanogaster, a critical survival trait, is highly polygenic and exhibits epistasis. Here, we characterize epistatic interactions among homozygous P-element mutations affecting startle-induced locomotion in the Canton-S isogenic background and in 21 wild-derived inbred genetic backgrounds. We find pervasive epistasis for pairwise combinations of homozygous P-element insertional mutations as well as for mutations in wild-derive

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Kao, Chen-Hung, and Zhao-Bang Zeng. "Modeling Epistasis of Quantitative Trait Loci Using Cockerham's Model." Genetics 160, no. 3 (2002): 1243–61. http://dx.doi.org/10.1093/genetics/160.3.1243.

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AbstractWe use the orthogonal contrast scales proposed by Cockerham to construct a genetic model, called Cockerham's model, for studying epistasis between genes. The properties of Cockerham's model in modeling and mapping epistatic genes under linkage equilibrium and disequilibrium are investigated and discussed. Because of its orthogonal property, Cockerham's model has several advantages in partitioning genetic variance into components, interpreting and estimating gene effects, and application to quantitative trait loci (QTL) mapping when compared to other models, and thus it can facilitate t

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Toch, Katarzyna, Mateusz Buczek, and Marta K. Labocha. "Genetic Interactions in Various Environmental Conditions in Caenorhabditis elegans." Genes 14, no. 11 (2023): 2080. http://dx.doi.org/10.3390/genes14112080.

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Although it is well known that epistasis plays an important role in many evolutionary processes (e.g., speciation, evolution of sex), our knowledge on the frequency and prevalent sign of epistatic interactions is mainly limited to unicellular organisms or cell cultures of multicellular organisms. This is even more pronounced in regard to how the environment can influence genetic interactions. To broaden our knowledge in that respect we studied gene–gene interactions in a whole multicellular organism, Caenorhabditis elegans. We screened over one thousand gene interactions, each one in standard

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SWARUP, SHILPA, SUSAN T. HARBISON, LAUREN E. HAHN, et al. "Extensive epistasis for olfactory behaviour, sleep and waking activity in Drosophila melanogaster." Genetics Research 94, no. 1 (2012): 9–20. http://dx.doi.org/10.1017/s001667231200002x.

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SummaryEpistasis is an important feature of the genetic architecture of quantitative traits, but the dynamics of epistatic interactions in natural populations and the relationship between epistasis and pleiotropy remain poorly understood. Here, we studied the effects of epistatic modifiers that segregate in a wild-derived Drosophila melanogaster population on the mutational effects of P-element insertions in Semaphorin-5C (Sema-5c) and Calreticulin (Crc), pleiotropic genes that affect olfactory behaviour and startle behaviour and, in the case of Crc, sleep phenotypes. We introduced Canton-S B

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MALMBERG, RUSSELL L., and RODNEY MAURICIO. "QTL-based evidence for the role of epistasis in evolution." Genetical Research 86, no. 2 (2005): 89–95. http://dx.doi.org/10.1017/s0016672305007780.

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The extent to which epistasis contributes to adaptation and speciation has been a controversial topic in evolutionary genetics. One experimental approach to study epistasis is based on quantitative trait locus (QTL) mapping using molecular markers. Comparisons can be made among all possible pair-wise combinations of the markers, irrespective of whether an additive QTL is associated with a marker; several software packages have been developed that facilitate this. We review several examples of using this approach to identify epistatic QTLs for traits of evolutionary or ecological interest. Whil

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Lair, Kevin P., William E. Bradshaw, and Christina M. Holzapfel. "Evolutionary Divergence of the Genetic Architecture Underlying Photoperiodism in the Pitcher-Plant Mosquito, Wyeomyia smithii." Genetics 147, no. 4 (1997): 1873–83. http://dx.doi.org/10.1093/genetics/147.4.1873.

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Abstract We determine the contribution of composite additive, dominance, and epistatic effects to the genetic divergence of photoperiodic response along latitudinal, altitudinal, and longitudinal gradients in the pitcher-plant mosquito, Wyeomyia smithii. Joint scaling tests of crosses between populations showed wide-spread epistasis as well as additive and dominance differences among populations. There were differences due to epistasis between an alpine population in North Carolina and populations in Florida, lowland North Carolina, and Maine. Longitudinal displacement resulted in differences

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Griswold, Cortland K. "Epistasis can accelerate adaptive diversification in haploid asexual populations." Proceedings of the Royal Society B: Biological Sciences 282, no. 1802 (2015): 20142648. http://dx.doi.org/10.1098/rspb.2014.2648.

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A fundamental goal of the biological sciences is to determine processes that facilitate the evolution of diversity. These processes can be separated into ecological, physiological, developmental and genetic. An ecological process that facilitates diversification is frequency-dependent selection caused by competition. Models of frequency-dependent adaptive diversification have generally assumed a genetic basis of phenotype that is non-epistatic. Here, we present a model that indicates diversification is accelerated by an epistatic basis of phenotype in combination with a competition model that

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Dissertations / Theses on the topic "Genetic Epistasis"

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Bell, Jordana Tzenova. "Epistasis in complex human traits." Thesis, University of Oxford, 2006. http://ora.ox.ac.uk/objects/uuid:547db446-c84c-4a6c-8b5c-ce960f7765c5.

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Ferreira, Teresa. "Statistical methods for modelling epistasis in genetic association studies." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543476.

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Balyan, Prachi. "Complex genetic interactions in the model eukaryote, Saccharomyces cerevisiae." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709165.

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Oliveira, Paulo Tadeu Meira e. Silva de. "Aplicação do algorítmo genético no mapeamento de genes epistáticos em cruzamentos controlados." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-29092008-110907/.

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O mapeamento genético é constituído por procedimentos experimentais e estatísticos que buscam detectar genes associados à etiologia e regulação de doenças, além de estimar os efeitos genéticos e as localizações genômicas correspondentes. Considerando delineamentos experimentais que envolvem cruzamentos controlados de animais ou plantas, diferentes formulações de modelos de regressão podem ser adotados na identificação de QTLs (do inglês, quantitative trait loci), incluindo seus efeitos principais e possíveis efeitos de interação (epistasia). A dificuldade nestes casos de mapeamento é a compara

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Morais, Alexandre Augusto de. "Epistasia na herança da resistência do milho ao gorgulho Sitophilus zeamais (Coleoptera: Curculionidae)." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/11/11137/tde-18092012-103000/.

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Considerado um dos aspectos mais complexos da genética quantitativa, a epistasia tem sido ignorada pelos melhoristas nos estudos de herança dos caracteres, principalmente os da herança da resistência de plantas a insetos, que são de difícil obtenção. No milho, a principal praga de grãos é o Sitophilus zeamais (Coleoptera: Curculionidae), devido a sua capacidade de atacar grãos tanto no campo quanto em silos. Contudo, as estimativas dos componentes aditivo e de dominância envolvidos na herança dessa resistência podem estar viesadas pela presença do efeito da epistasia. Utilizando o delineamento

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Scoville, Alison G. "Phenotypic Plasticity and the Post-Modern Synthesis: Integrating Evo-Devo and Quantitative Genetics in Theoretical and Empirical Studies." DigitalCommons@USU, 2008. https://digitalcommons.usu.edu/etd/212.

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Mainstream evolutionary biology lacks a mature theory of phenotype. Following from the Modern Synthesis, researchers tend to assume an unrealistically simple mapping of genotype to phenotype, or else trust that the complexities of developmental architecture can be adequately captured by measuring trait variances and covariances. In contrast, the growing field of evolutionary developmental biology (evo-devo) explicitly examines the relationship between developmental architecture and evolutionary change, but lacks a rigorous quantitative and predictive framework. In my dissertation, I strive

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Chen, Anlu. "Applying Forward Genetic Approaches to Rare Mendelian Disorders and Complex Traits." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1532522241487661.

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Ali, Abdirahman. "Quantitative genetics and genomics of production and disease in beef cattle." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/12296.

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Cattle grazing in extensive open pasture of tropical areas are subjected to several environmental stressors such as heat and humidity, high incidence of disease, cattle ticks and worm infestations. These stressors have major impacts on productivity and animal welfare. The overall focus of this PhD thesis was to conduct classical genetic and modern quantitative genomics analyses for growth and carcass related traits, and disease and parasite tolerance/resistance traits in beef cattle. The specific objectives were: (1) to estimate genetic parameters for growth, carcass related traits, and tropic

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FacÃ, Olivardo. "Estudo genÃtico-quantitativo com os grupos genÃticos formadores da raÃa Girolanda." Universidade Federal do CearÃ, 2005. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=4552.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>A partir de dados de genealogia, produÃÃo de leite e registro de partos de animais de vÃrios grupos genÃticos HolandÃs x Gir, obtidos junto Ã AssociaÃÃo Brasileira dos Criadores de Girolando, foram realizados trÃs estudos. No primeiro estudo foram investigados os efeitos do tratamento das informaÃÃes de duraÃÃo da lactaÃÃo sobre variabilidade genÃtica para a produÃÃo de leite em animais de vÃrios grupos genÃticos HolandÃs x Gir. Estimativas dos componentes de (co)variÃncia foram obtidas por meio do mÃtodo da mÃxima verossimilhanÃa

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Good, Jeffrey. "The Genetic Basis of Reproductive Isolation Between Two Species of House Mice." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195901.

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Determining the genetic basis of reproductive isolation is a fundamental goal in evolutionary biology. Intrinsic reproductive isolation often arises due to epistasis between divergent interacting genes. The rapid evolution of hybrid male sterility is known to have several causes, including the exposure of recessive X-linked incompatibilities in males and the rapid evolution of male reproductive traits. Despite these insights, little is known about the genetics of reproductive isolation during the early stages of speciation. This deficiency inspired parallel studies on the molecular evoluti

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Books on the topic "Genetic Epistasis"

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Moore, Jason H., and Scott M. Williams. Epistasis: Methods and protocols. Humana Press, 2015.

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Wolf, Jason B., Edmund D. Brodie III, and Michael J. Wade. Epistasis and the Evolutionary Process. Oxford University Press, USA, 2000.

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Moore, Jason H., and Scott M. Williams. Epistasis: Methods and Protocols. Springer New York, 2016.

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Naudts, B., C. Vidal, A. Verschoren, and M. Iglesias. Foundations of Generic Optimization Vol. 1: A Combinatorial Approach to Epistasis. Springer, 2010.

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Iglesias, M., B. Naudts, and C. Vidal. Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications). Springer, 2005.

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Brown, Kyle Michael. The evolutionary genetics of epistasis an pleiotropy. 2009.

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Hyde, Luke W., Ryan Bogdan, and Ahmad Hariri. Neurogenetics of Individual Differences in Brain, Behavior, and Risk for Psychopathology. Edited by Turhan Canli. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.007.

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Neurogenetics research is advancing understanding of how genetic variation gives rise to individual differences in brain function, which, in turn, shapes behavior and risk for psychopathology. Despite these advancements, neurogenetics research is currently confronted by three major challenges: 1) conducting research on individual variables with small effects, 2) absence of detailed mechanisms, and 3) a need to translate findings towards greater clinical relevance. This essay showcases techniques and developments that address these challenges and highlights the benefits of a neurogenetics appro

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Book chapters on the topic "Genetic Epistasis"

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Diaz-Uriarte, Ramon. "Simulating Evolution in Asexual Populations with Epistasis." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0947-7_9.

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AbstractI show how to use OncoSimulR, software for forward-time genetic simulations, to simulate evolution of asexual populations in the presence of epistatic interactions. This chapter emphasizes the specification of fitness and epistasis, both directly (i.e., specifying the effects of individual mutations and their epistatic interactions) and indirectly (using models for random fitness landscapes).

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Choi, Kwang-Wook. "Genetic Interaction, Epistasis, Modifiers." In KAIST Research Series. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0830-7_8.

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Sun, Rui, Haoyi Weng, and Maggie Haitian Wang. "W-Test for Genetic Epistasis Testing." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0947-7_4.

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Álvarez-Castro, José M., and Arnaud Le Rouzic. "On the Partitioning of Genetic Variance with Epistasis." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2155-3_6.

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Seo, Dong-Il, Yong-Hyuk Kim, and Byung Ro Moon. "New Entropy-Based Measures of Gene Significance and Epistasis." In Genetic and Evolutionary Computation — GECCO 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45110-2_9.

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Seo, Dong-Il, Sung-Soon Choi, and Byung-Ro Moon. "New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables." In Genetic and Evolutionary Computation – GECCO 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24855-2_14.

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Rodriguez-Tello, Eduardo, and Jose Torres-Jimenez. "ERA: An Algorithm for Reducing the Epistasis of SAT Problems." In Genetic and Evolutionary Computation — GECCO 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45110-2_4.

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Pattin, Kristine A., Joshua L. Payne, Douglas P. Hill, Thomas Caldwell, Jonathan M. Fisher, and Jason H. Moore. "Exploiting Expert Knowledge of Protein-Protein Interactions in a Computational Evolution System for Detecting Epistasis." In Genetic Programming Theory and Practice VIII. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7747-2_12.

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Pettersson, Mats E., and Örjan Carlborg. "Capacitating Epistasis—Detection and Role in the Genetic Architecture of Complex Traits." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2155-3_10.

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Álvarez-Castro, José M., Örjan Carlborg, and Lars Rönnegård. "Estimation and Interpretation of Genetic Effects with Epistasis Using the NOIA Model." In Methods in Molecular Biology. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-785-9_10.

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Conference papers on the topic "Genetic Epistasis"

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Ltaief, Hatem, Rabab Alomairy, Qinglei Cao, et al. "Toward Capturing Genetic Epistasis from Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression." In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/sc41406.2024.00012.

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Qu, Baida, and Baoguo Xu. "On Epistasis for Measure of Genetic Algorithm Hardnesss." In 2006 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2006. http://dx.doi.org/10.1109/nafips.2006.365862.

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Doerr, Benjamin, and Martin S. Krejca. "The univariate marginal distribution algorithm copes well with deception and epistasis." In GECCO '20: Genetic and Evolutionary Computation Conference. ACM, 2020. http://dx.doi.org/10.1145/3377929.3397487.

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Kim, Yong-Hoon, and Yong-Hyuk Kim. "Finding a better basis on binary representation through DNN-based epistasis estimation." In GECCO '20: Genetic and Evolutionary Computation Conference. ACM, 2020. http://dx.doi.org/10.1145/3377929.3390076.

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Goth, Thomas, Chia-Ti Tsai, Fu-Tien Chiang, and Clare Bates Congdon. "Initial results with EpiSwarm, a Swarm-based system investigating genetic epistasis." In 2007 IEEE Congress on Evolutionary Computation. IEEE, 2007. http://dx.doi.org/10.1109/cec.2007.4424973.

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Gras, Robin. "How efficient are genetic algorithms to solve high epistasis deceptive problems?" In 2008 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2008. http://dx.doi.org/10.1109/cec.2008.4630806.

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Urbanowicz, Ryan J., Nate Barney, Bill C. White, and Jason H. Moore. "Mask functions for the symbolic modeling of epistasis using genetic programming." In the 10th annual conference. ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389154.

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Kim, Yong-Hoon, Junghwan Lee, and Yong-Hyuk Kim. "Predictive model for epistasis-based basis evaluation on pseudo-boolean function using deep neural networks." In GECCO '19: Genetic and Evolutionary Computation Conference. ACM, 2019. http://dx.doi.org/10.1145/3319619.3326784.

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Hu, Ting, Angeline S. Andrew, Margaret R. Karagas, and Jason H. Moore. "STATISTICAL EPISTASIS NETWORKS REDUCE THE COMPUTATIONAL COMPLEXITY OF SEARCHING THREE-LOCUS GENETIC MODELS." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814447973_0039.

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HE, DAN, and LAXMI PARIDA. "MUSE: A MULTI-LOCUS SAMPLING-BASED EPISTASIS ALGORITHM FOR QUANTITATIVE GENETIC TRAIT PREDICTION." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813207813_0040.

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Reports on the topic "Genetic Epistasis"

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Hulata, Gideon, Thomas D. Kocher, Micha Ron, and Eyal Seroussi. Molecular Mechanisms of Sex Determination in Cultured Tilapias. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7697106.bard.

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Tilapias are among the most important aquaculture commodities worldwide. Commercial production of tilapia is based on monosex culture of males. Current methods for producing all-male fingerlings, including hormone treatments and genetic manipulations, are not entirely reliable, in part because of the genetic complexity of sex determination and sexual differentiation in tilapias. The goals of this project are to map QTL and identify genes regulating sex determination in commonly cultured tilapia species, in order to provide a rational basis for designing reliable genetic approaches for producin

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Cahaner, Avigdor, Susan J. Lamont, E. Dan Heller, and Jossi Hillel. Molecular Genetic Dissection of Complex Immunocompetence Traits in Broilers. United States Department of Agriculture, 2003. http://dx.doi.org/10.32747/2003.7586461.bard.

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Objectives: (1) Evaluate Immunocompetence-OTL-containing Chromosomal Regions (ICRs), marked by microsatellites or candidate genes, for magnitude of direct effect and for contribution to relationships among multiple immunocompetence, disease-resistance, and growth traits, in order to estimate epistatic and pleiotropic effects and to predict the potential breeding applications of such markers. (2) Evaluate the interaction of the ICRs with genetic backgrounds from multiple sources and of multiple levels of genetic variation, in order to predict the general applicability of molecular genetic marke

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Feldman, Moshe, Eitan Millet, Calvin O. Qualset, and Patrick E. McGuire. Mapping and Tagging by DNA Markers of Wild Emmer Alleles that Improve Quantitative Traits in Common Wheat. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7573081.bard.

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The general goal was to identify, map, and tag, with DNA markers, segments of chromosomes of a wild species (wild emmer wheat, the progenitor of cultivated wheat) determining the number, chromosomal locations, interactions, and effects of genes that control quantitative traits when transferred to a cultivated plant (bread wheat). Slight modifications were introduced and not all objectives could be completed within the human and financial resources available, as noted with the specific objectives listed below: 1. To identify the genetic contribution of each of the available wild emmer chromosom

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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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Fridman, Eyal, and Eran Pichersky. Tomato Natural Insecticides: Elucidation of the Complex Pathway of Methylketone Biosynthesis. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7696543.bard.

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Plant species synthesize a multitude of specialized compounds 10 help ward off pests. and these in turn may well serve as an alternative to synthetic pesticides to reduce environmental damage and health risks to humans. The general goal of this research was to perform a genetic and biochemical dissection of the natural-insecticides methylketone pathway that is specific to the glandular trichomes of the wild species of tomato, Solanumhabrochaites f. glabratum (accession PI126449). Previous study conducted by us have demonstrated that these compounds are synthesized de novo as a derivate pathway

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Sessa, Guido, та Gregory Martin. MAP kinase cascades activated by SlMAPKKKε and their involvement in tomato resistance to bacterial pathogens. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7699834.bard.

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The research problem: Pseudomonas syringae pv. tomato (Pst) and Xanthomonas campestrispv. vesicatoria (Xcv) are the causal agents of tomato bacterial speck and spot diseases, respectively. These pathogens colonize the aerial parts of the plant and cause economically important losses to tomato yield worldwide. Control of speck and spot diseases by cultural practices or chemicals is not effective and genetic sources of resistance are very limited. In previous research supported by BARD, by gene expression profiling we identified signaling components involved in resistance to Xcvstrains. Follow u

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Dubcovsky, Jorge, Tzion Fahima, and Ann Blechl. Molecular characterization and deployment of the high-temperature adult plant stripe rust resistance gene Yr36 from wheat. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7699860.bard.

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Abstract:

Stripe rust, caused by Puccinia striiformis f. sp. tritici is one of the most destructive fungal diseases of wheat. Virulent races that appeared within the last decade caused drastic cuts in yields. The incorporation of genetic resistance against this pathogen is the most cost-effective and environmentally friendly solution to this problem. However, race specific seedling resistance genes provide only a temporary solution because fungal populations rapidly evolve to overcome this type of resistance. In contrast, high temperature adult plant (HTAP) resistance genes provide a broad spectrum resi

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