Academic literature on the topic 'Genetic pollution'
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Journal articles on the topic "Genetic pollution":
Zahn, L. M. "Mapping genetic adaptations to pollution." Science 354, no. 6317 (December 8, 2016): 1245–46. http://dx.doi.org/10.1126/science.354.6317.1245-e.
Sotero, Daiany Folador, Marcelino Benvindo-Souza, Renata Pereira de Freitas, and Daniela de Melo e Silva. "Bats and pollution: Genetic approaches in ecotoxicology." Chemosphere 307 (November 2022): 135934. http://dx.doi.org/10.1016/j.chemosphere.2022.135934.
Hoyle, Brian. "Canadian farmers seek compensation for "genetic pollution"." Nature Biotechnology 17, no. 8 (August 1999): 747. http://dx.doi.org/10.1038/11674.
Nevo, E., R. Noy, B. Lavie, A. Beiles, and S. Muchtar. "Genetic diversity and resistance to marine pollution." Biological Journal of the Linnean Society 29, no. 2 (October 1986): 139–44. http://dx.doi.org/10.1111/j.1095-8312.1986.tb01828.x.
Kleeberger, S. R. "Genetic aspects of susceptibility to air pollution." European Respiratory Journal 21, Supplement 40 (May 1, 2003): 52S—56s. http://dx.doi.org/10.1183/09031936.03.00403003.
Sojka, Stanley A. "Genetic engineering and new pollution control technologies." Trends in Biotechnology 3, no. 3 (March 1985): 82. http://dx.doi.org/10.1016/0167-7799(85)90085-x.
Butler, Declan. "Bid to protect wolves from genetic pollution." Nature 370, no. 6490 (August 1994): 497. http://dx.doi.org/10.1038/370497a0.
Leff, Laura G. ""Genetic Pollution": Human-Mediated Dispersal of Marine Organisms." Ecology 75, no. 3 (April 1994): 863–64. http://dx.doi.org/10.2307/1941748.
Urman, Alexandra, and H. Dean Hosgood. "Lung Cancer Risk, Genetic Variation, and Air Pollution." EBioMedicine 2, no. 6 (June 2015): 491–92. http://dx.doi.org/10.1016/j.ebiom.2015.05.007.
"Pollution Triggers Genetic Resistance Mechanism in a Coastal Fish." Journal of Fisheries and Aquatic Science 6, no. 4 (June 15, 2011): 485–86. http://dx.doi.org/10.3923/jfas.2011.485.486.
Dissertations / Theses on the topic "Genetic pollution":
Pedrosa, João André da Mota. "Microevolutionary dynamics and genetic erosion in pollution-affected Chironomus populations." Doctoral thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/17941.
As populações que vivem em ecossistemas de água doce extremamente contaminados por metais podem estar sujeitas a forte seleção e deriva genética. Este processo de erosão genética poderá ameaçar a sua sobrevivência a longo prazo, uma vez que a capacidade de adaptação das populações a alterações das condições ambientais está diretamente relacionada com os níveis de diversidade genética. Neste sentido, a procura por novos bioindicadores, que aumentem a relevância ecológica da avaliação de risco ambiental, tem levado a um crescente interesse pela toxicologia evolutiva e por medidas de diversidade genética. O trabalho aqui apresentado tem como objetivo último compreender de que forma os níveis de diversidade genética da espécie modelo em ecotoxicologia Chironomus riparius (Meigen) podem ser usados como indicadores de qualidade ecológica de sistemas de água doce. Para tal, avaliaram-se respostas microevolutivas à contaminação histórica por metais em populações de C. riparius, incluindo determinação dos níveis de diversidade genética, adaptação genética a metais e potenciais custos de fitness. A diversidade genética foi estimada com base na variação de sete marcadores de microssatélites enquanto que a adaptação genética a metais e potenciais custos de fitness foi avaliada através da tolerância aguda e crónica a diferentes stressores ambientais, medidas de balanço energético e mecanismos de defesa após manter as diferentes populações durante várias gerações em condições laboratoriais controlo. Por fim, as respostas microevolutivas de C. riparius à contaminação por metais foram comparadas com a diversidade e composição das comunidades de macroinvertebrados. Para determinar a relação de causa-efeito entre respostas microevolutivas e contaminação, os efeitos da poluição por metais foram investigados em diferentes locais historicamente contaminados por metais e comparados com várias referências. Os resultados demonstraram elevados níveis de diversidade genética e uma considerável homogeneidade genética entre as populações monitorizadas em condições naturais. No entanto, observaram-se evidências de adaptação genética a metais nas populações de locais contaminados, incluindo maior tolerância à exposição aguda por metais e elevados níveis basais de glutationas e metalotioninas que possivelmente aumentam a capacidade de resposta das populações à exposição a metais. Além do mais, observaram-se maiores custos energéticos em populações de locais contaminados quando expostas a metais, enquanto que uma das populações de locais contaminados apresentou também custos de fitness em condições controlo. Finalmente, verificou-se que a diversidade e composição das comunidades de macroinvertebrados dos locais contaminados foi fortemente afetada e muitos grupos taxonómicos sensíveis à contaminação foram eliminados e substituídos por outros mais oportunistas, tais como C. riparius. De um modo geral, as medidas de diversidade genética de populações naturais de C. riparius não mostraram ser ferramentas de biomonitorização particularmente vantajosas per se uma vez que não refletiram as respostas microevolutivas das diferentes populações à poluição histórica por metais. Tal facto poderá estar relacionado com a elevada densidade populacional e dinamismo da espécie em condições naturais, uma vez que se observou uma considerável perda de diversidade genética quando as populações foram mantidas em laboratório durante períodos de tempo relativamente longos. Não obstante, algumas linhas de evidência do presente trabalho sugerem o uso de medidas de diversidade genética de C. riparius em diversas situações experimentais como sejam: deteção de hibridização interespecífica; estabelecimento de níveis mínimos de diversidade genética em laboratório; e, finalmente, uso integrativo de medidas de diversidade genética em programas de biomonitorização com um foco mais direcionado para os efeitos ao nível da comunidade de macroinvertebrados. Os resultados apresentados pretendem estimular a discussão acerca da adequabilidade de C. riparius como espécie modelo em toxicologia evolutiva bem como a sensibilidade e robustez das medidas de diversidade genética como indicadores de qualidade ambiental em avaliação de risco ecológico.
Natural populations inhabiting heavily metal impacted freshwater ecosystems may face intense selection and genetic drift that conduct populations to severe reductions of genetic diversity, the so-called process of genetic erosion. Because the ability of populations to adapt to environmental change is directly related to the levels of genetic diversity, contaminant-driven genetic erosion may threaten the long-term survival of populations. The search for more robust and context-driven bio-indicators that add ecological relevance to the environmental risk assessments has increased interest in evolutionary toxicology and measures of genetic diversity. The research described in the present thesis was performed with the ultimate goal of understanding whether the levels of genetic diversity of the model ecotoxicological species Chironomus riparius (Meigen) may be used as ecological indicators of the health of freshwater systems. For that, an integrative study was undertaken investigating microevolutionary responses of C. riparius towards historical metal pollution. This included assessments of levels of genetic diversity as well as determination of genetic adaptation to metals and associated fitness costs. Genetic diversity was estimated based on the variation of seven microsatellite markers. Genetic adaptation and associated fitness costs were investigated through acute and chronic exposures to different environmental stressors, measurements of energy budget and biochemical mechanisms of tolerance to metals, after maintaining populations for several generations under standard laboratory conditions. Microevolutionary responses of C. riparius to metal pollution were, afterwards, compared with macroinvertebrate diversity and composition metrics. To draw general conclusions of causal-relationship between microevolutionary responses and pollution history, effects were investigated across multiple metal polluted and reference site. Globally, the levels of genetic diversity were globally high and there was a remarkable genetic homogeneity among all C. riparius populations in the field. However, C. riparius populations from metal polluted sites showed signs of genetic adaptation to metals as suggested by the increased tolerance to acute concentrations of metal and high basal levels of glutathiones and metallothioneins that likely enhance the fitness of populations to cope with metal toxicity. Furthermore, populations from metals contaminated sites had higher energetic costs when exposed to metals and one of the populations from contaminated sites showed also a poorer performance under control clean conditions. Finally, diversity and composition of macroinvertebrate communities from metal polluted sites was strongly affected and many sensitive taxonomic groups were eliminated and replaced by more opportunistic ones such as C. riparius. Overall, measures of genetic diversity of C. riparius natural populations do not seem to be particularly advantageous biomonitoring tools per se once they did not reflect the underlying microevolutionary responses of natural populations to historical metal pollution. This is likely because of the large population densities together with the highly dynamic nature of C. riparius in the field as we observed genetic erosion in population reared under laboratory conditions over relatively long periods of time. However, several lines of evidence indicate that measures of genetic diversity may accrue valuable information in several experimental situations: detection of interspecific hybridization; establishment of minimum levels of genetic diversity in laboratory-reared C. riparius populations; finally, integrative use of measures of genetic diversity in biomonitoring programs with more community-level focus. The results presented in this thesis aim to stimulate discussion on the suitability of C. riparius as a model species in evolutionary ecotoxicology studies as well as the sensitivity and robustness of genetic diversity measures as indicators of environmental quality in ecological risk assessment.
Lind, Emma. "Genetic response to pollution in sticklebacks; natural selection in the wild." Doctoral thesis, Stockholms universitet, Zoologiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-89486.
At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 1: Manuscript. Paper 3: Manuscript. Paper 4: Manuscript.
Souleman, Dima. "Genetic consequences of colonization of a metal-polluted environment, population genetics and quantitative genetics approaches." Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10006/document.
Natural habitats are more and more destructed and fragmented by urban expansion and human activities. The fragmentation of natural and agricultural areas by buildings and new infrastructures affects the size, connectivity and the quality of habitats. The populations of organisms inhabiting these anthropized territories are then more isolated. However, differentiation between populations of the same organism depends on demographic and genetic processes such as genetic drift, gene flow, mutation and natural selection. Only species that have developed special tolerance mechanisms can persist under changed environmental conditions. The introduction of contaminants such as metals in the environment may influence plants and animals evolution by modifying the evolutionary forces and thus generating differences between populations. In this work, attention was focused on the genetic consequences of metallic pollution on two species, the earthworm Lumbricus terrestris and the plant model Arabidopsis halleri. Two different approaches have been used to study the genetic response to metallic contamination: a population genetic approach was performed in L. terrestris and a quantitative genetic approach was carried on in A. halleri. First, it was a question of identifying and validating new microsatellite markers in L. terrestris. These markers were then used to characterize the neutral genetic diversity in worms collected from agricultural and urban sites. Secondly, genetic architecture of Zn tolerance and Zn hyperaccumulation was conducted investigated for the first time using an intraspecific crossing between metallicolous and non-metallicolous individuals of A. halleri. High density of SNP markers was used to proceed to the QTL mapping step
Johansson, Ambjörn. "Evolution toward pollution-resistant ecotypes of Baltic threespine stickleback, Gasterosteus aculeatus, suggested by AFLP markers." Thesis, Södertörns högskola, Institutionen för livsvetenskaper, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-1935.
Guan, Jiabao. "Applications of genetic algorithms in groundwater quality management." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/20491.
Cullen, Daniel W. "Genetic location and transferability of chromium resistance gene(s) among aquatic bacteria." Thesis, Glasgow Caledonian University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339325.
Nowak, Carsten. "Consequences of environmental pollution on genetic diversity in populations of the midge Chironomus riparius." Göttingen Cuvillier, 2008. http://d-nb.info/989862658/04.
Veith, Tamie L. "Agricultural BMP Placement for Cost-effective Pollution Control at the Watershed Level." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/27247.
Ph. D.
Snyder, Craig David. "Physiological, population, and genetic responses of an aquatic insect (Isonychia bicolor) to chronic mercury pollution." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-165554/.
Hum, Stanley. "Detection of latent heritable genetic damage in populations of aquatic snails, Lymnaea stagnalis, exposed in situ to genotoxic pollution." Thesis, McGill University, 1999. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=30670.
Books on the topic "Genetic pollution":
Wexler, Barbara. Genetics and genetic engineering. 2nd ed. Detroit, MI: Thomson/Gale Group, 2006.
Guru Nanak Dev University) National Symposium on Comparative Environmental Mutagenesis (1987 Department of Biology. Proceedings of National Symposium on Comparative Environmental Mutagenesis, Amritsar, February 19-21, 1987. Ludhiana, India: USG Publishers & Distributors, 1988.
Reiss, Rebecca A. Genetic techniques for the verification and monitoring of dihaloethane biodegradation in New Mexico aquifers. Las Cruces, N.M: New Mexico Water Resources Research Institute, New Mexico State University, 2002.
Robin, Marie-Monique. The world according to Monsanto: Pollution, politics and power. North Melbourne, Vic: Spinifex Press, 2010.
Mejnartowicz, Leon. A genetic basis for the resistance of forest trees to antropopressure, with special study of the effect of some toxic gases. Kórnik, Poland: Polish Academy of Science, Institute of Dendrology, 1986.
J, Garte Seymour, ed. Molecular environmental biology. Boca Raton, FL: Lewis Publishers, 1994.
Strunck, Christoph. Die Macht des Risikos: Interessenvermittlung in der amerikanischen und europäischen Verbraucherpolitik. Baden-Baden: Nomos, 2006.
Sadao, Ichikawa. Shin kōgai genron: Idengakuteki shiten kara. 8th ed. Tōkyō: Shin Hyōron, 1988.
Sazykina, M. A. Monitoring genotoksichnosti vodnoĭ sredy: Azovo-Donskoĭ basseĭn. Rostov-na-Donu: I︠U︡zhnyĭ federalʹnyĭ universitet, 2009.
Romanovskij, Michail Georgievic. Formirovanie urozhai͡a︡ semi͡a︡n sosny obyknovennoĭ v norme i pri mutagennom zagri͡a︡znenii. Moskva: "Nauka", 1997.
Book chapters on the topic "Genetic pollution":
Peakall, David. "Studies on genetic material." In Animal Biomarkers as Pollution Indicators, 70–85. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2346-4_4.
Coufal, David. "GUHA Analysis of Air Pollution Data." In Artificial Neural Nets and Genetic Algorithms, 465–68. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_116.
Paluš, Milan, Emil Pelikán, Kryštof Eben, Pavel Krejčíř, and Pavel Juruš. "Nonlinearity and Prediction of Air Pollution." In Artificial Neural Nets and Genetic Algorithms, 473–76. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_118.
Endo, Saori, Etsuko Matsunaga, Keiko Yamada-Watanabe, and Hiroyasu Ebinuma. "Application of Genetic Engineering for Forest Tree Species." In Air Pollution and Plant Biotechnology, 415–34. Tokyo: Springer Japan, 2002. http://dx.doi.org/10.1007/978-4-431-68388-9_22.
Strain, Boyd R. "Possible Genetic Effects of Continually Increasing Atmospheric CO2." In Ecological Genetics and Air Pollution, 237–44. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3060-1_13.
Pritchett, Lyle C., Govardhan Mekala, and David N. Wittorff. "Air Pollution Source Apportionment Using Genetic Algorithms." In Intelligent Systems Third Golden West International Conference, 627–36. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-7108-3_67.
Foxall, Rob, Igor Krcmar, Gavin Cawley, Stephen Dorling, and Danilo P. Mandic. "On Nonlinear Processing of Air Pollution Data." In Artificial Neural Nets and Genetic Algorithms, 477–80. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_119.
Krcmar, Igor R., Danilo P. Mandic, and Robert J. Foxall. "On Predictability of Atmospheric Pollution Time Series." In Artificial Neural Nets and Genetic Algorithms, 481–84. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_120.
Lopes, Sofia, Mahesan Niranjan, and Jeremy Oakley. "Forecasting of Air Pollution at Unmonitored Sites." In Artificial Neural Nets and Genetic Algorithms, 497–500. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_124.
Niska, Harri, Teri Hiltunen, Mikko Kolehmainen, and Juhani Ruuskanen. "Hybrid Models for Forecasting Air Pollution Episodes." In Artificial Neural Nets and Genetic Algorithms, 80–84. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-0646-4_16.
Conference papers on the topic "Genetic pollution":
RAINHO, CLAUDIA R., ÉRIKA MORAES, ANDRÉ LUIZ MENCALHA, and ISRAEL FELZENSZWALB. "GENETIC POLYMORPHISMS AND THE RISK OF LUNG CANCER IN TUNNEL WORKERS IN RIO DE JANEIRO, BRAZIL." In AIR POLLUTION 2017. Southampton UK: WIT Press, 2017. http://dx.doi.org/10.2495/air170061.
Inoue, K., I. Masaki, Y. Shimada, and T. Tanaka. "Transport parameter estimation in homogeneous and two-layered porous media using two different methods: genetic algorithm and image analysis." In WATER POLLUTION 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/wp060391.
Davendra, Donald, and Magdalena Bialic-Davendra. "Discrete self organizing algorithm for pollution vehicle routing problem." In GECCO '20: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377929.3398076.
Rolich, T., and D. Grundler. "Genetic algorithm based reduction of electromagnetic field pollution." In 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC). IEEE, 2009. http://dx.doi.org/10.1109/nabic.2009.5393683.
Kumar, Anant, and Prakash Kotecha. "Optimal Pollution Trading using Fireworks Algorithm and Genetic Algorithm." In the 2017 International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3059336.3059364.
Rolich, Tomislav, and Darko Grundler. "Minimizing environmental electromagnetic field pollution adjusting transmitter parameters using genetic algorithm." In 2009 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2009. http://dx.doi.org/10.1109/cec.2009.4983038.
Zhao, Rui-Ming, and Dong-Ping Qian. "Application of Genetic Algorithm in the Optimization of Water Pollution Control Scheme." In Workshop on Intelligent Information Technology Application (IITA 2007). IEEE, 2007. http://dx.doi.org/10.1109/iita.2007.84.
Rolich, Tomislav, and Darko Grundler. "Reduction of electromagnetic field pollution in 3D space using a genetic algorithm." In 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5586363.
Wain, Louise, Mesut Erzurumluoglu, Carl Melbourne, Dany Doiron, Kees De Hoogh, Martin Tobin, and Anna Hansell. "Interaction with air pollution exposure for genetic loci associated with lung function." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa5395.
Kress, Sara, Qi Zhao, Anke Hüls, Holger Schwender, Klaus Unfried, and Tamara Schikowski. "Genetic vulnerability to air pollution-related decrease in lung function in elderly women." In ERS International Congress 2020 abstracts. European Respiratory Society, 2020. http://dx.doi.org/10.1183/13993003.congress-2020.1121.