Journal articles: 'Genetic pollution'

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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.

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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.

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Hoyle, Brian. "Canadian farmers seek compensation for "genetic pollution"." Nature Biotechnology 17, no. 8 (August 1999): 747. http://dx.doi.org/10.1038/11674.

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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.

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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.

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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.

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Butler, Declan. "Bid to protect wolves from genetic pollution." Nature 370, no. 6490 (August 1994): 497. http://dx.doi.org/10.1038/370497a0.

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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.

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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.

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"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.

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Fu, Zuqiang, Qian Liu, Jingjia Liang, Zhenkun Weng, Wenxiang Li, Jin Xu, Xin Zhang, Cheng Xu, Tao Huang, and Aihua Gu. "Air pollution, genetic factors and the risk of depression." Science of The Total Environment 850 (December 2022): 158001. http://dx.doi.org/10.1016/j.scitotenv.2022.158001.

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RYAZANTSEV, ALEXANDER A. "ENVIRONMENTAL POLLUTION AND HUMAN GENETIC HEALTH: CRIMINAL LEGAL ASPECT." European and Asian Law Review 4, no. 2 (2021): 38–46. http://dx.doi.org/10.34076/27821668_2021_2_1_38.

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Galletly, Bronwyn C., Mark W. Blows, and Dustin J. Marshall. "GENETIC MECHANISMS OF POLLUTION RESISTANCE IN A MARINE INVERTEBRATE." Ecological Applications 17, no. 8 (December 2007): 2290–97. http://dx.doi.org/10.1890/06-2079.1.

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Shanks, Orin C., Catherine A. Kelty, Mano Sivaganesan, Manju Varma, and Richard A. Haugland. "Quantitative PCR for Genetic Markers of Human Fecal Pollution." Applied and Environmental Microbiology 75, no. 17 (July 10, 2009): 5507–13. http://dx.doi.org/10.1128/aem.00305-09.

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ABSTRACT Assessment of health risk and fecal bacterial loads associated with human fecal pollution requires reliable host-specific analytical methods and a rapid quantification approach. We report the development of quantitative PCR assays for quantification of two recently described human-specific genetic markers targeting Bacteroidales-like cell surface-associated genes. Each assay exhibited a range of quantification from 10 to 1 ï¿½ 106 copies of target DNA. For each assay, internal amplification controls were developed to detect the presence or absence of amplification inhibitors. The assays predominantly detected human fecal specimens and exhibited specificity levels greater than 97% when tested against 265 fecal DNA extracts from 22 different animal species. The abundance of each human-specific genetic marker in primary effluent wastewater samples collected from 20 geographically distinct locations was measured and compared to quantities estimated by real-time PCR assays specific for rRNA gene sequences from total Bacteroidales and enterococcal fecal microorganisms. Assay performances combined with the prevalence of DNA targets in sewage samples provide experimental evidence supporting the potential application of these quantitative methods for monitoring fecal pollution in ambient environmental waters.

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Sram, R. J., B. Binkova, A. Rossnerova, P. Rossner, I. Solansky, and J. Topinka. "Impact of Air Pollution on Biomarkers of Genetic Damage." Epidemiology 18, Suppl (September 2007): S119. http://dx.doi.org/10.1097/01.ede.0000276680.08628.d8.

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Eeva, Tapio, Eugen Belskii, and Boris Kuranov. "Environmental pollution affects genetic diversity in wild bird populations." Mutation Research/Genetic Toxicology and Environmental Mutagenesis 608, no. 1 (September 2006): 8–15. http://dx.doi.org/10.1016/j.mrgentox.2006.04.021.

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Ieradi, L. A., M. Cristaldi, D. Mascanzoni, E. Cardarelli, R. Grossi, and L. Campanella. "Genetic damage in urban mice exposed to traffic pollution." Environmental Pollution 92, no. 3 (1996): 323–28. http://dx.doi.org/10.1016/0269-7491(95)00109-3.

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Yang, I. A., K. M. Fong, P. V. Zimmerman, S. T. Holgate, and J. W. Holloway. "Genetic susceptibility to the respiratory effects of air pollution." Thorax 63, no. 6 (May 29, 2008): 555–63. http://dx.doi.org/10.1136/thx.2007.079426.

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There is large variation between individuals in their response to air pollutants. This review summarises the existing evidence that genetic factors influence the mechanisms of lung injury caused by air pollutants. Genetic association studies have compared the adverse effects of air pollutants between subjects with specific genotypes in biologically relevant genes. In human studies of ozone exposure, polymorphisms in oxidative stress genes (NQO1, GSTM1, GSTP1) modify respiratory symptoms, lung function, biomarkers and risk of asthma. Inflammatory gene polymorphisms (TNF) influence the lung function response to ozone, and the effect of different levels of ozone on the development of asthma. Polymorphisms in oxidative stress genes (GSTM1, GSTP1) alter the response to combined exposure to ragweed pollen and diesel exhaust particles. Importantly, polymorphisms in an oxidative stress gene (GSTM1) have predicted patients with asthma who benefit from antioxidant supplementation in Mexico City, which has chronically high ozone exposure. Genetic linkage studies of families have not been feasible for studying the effects of air pollution in humans, but some progress has been made with pedigrees of specially bred mice, in identifying chromosomal regions linked to effects of ozone or particles. A high priority now, in addition to avoiding exposure in the most susceptible people, is to clearly identify the most effective and safe chemopreventive agents for individuals who are genetically susceptible to the adverse effects of air pollution (eg, antioxidants to be taken during high ozone levels).

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Wang, Ji Hua, Dan Zhu, Shan Shan Zhang, and Jian Fei Guan. "Construction and Application of Genetic Engineering Bacteria in Contaminated Environment Bioremediation." Advanced Materials Research 955-959 (June 2014): 1935–38. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1935.

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As the human activities increasing, pesticide, oil and heavy metal used widely caused the environmental pollution more and more serious. Therefore, it is very necessary to find the reasonable and efficient method to degrade environmental pollutants. This article summarized the construction of genetic engineering bacteria and its applications in pesticide pollution, oil pollution and heavy metal pollution bioremediation, which has proved to be a hot pot in environmental pollutants bioremediation researching. It also put forward the difficulties in the construction and application of genetic engineering bacteria and developing trend.

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Nunez, Joaquin C. B., Leann M. Biancani, Patrick A. Flight, Diane E. Nacci, David M. Rand, Douglas L. Crawford, and Marjorie F. Oleksiak. "Stable genetic structure and connectivity in pollution-adapted and nearby pollution-sensitive populations of Fundulus heteroclitus." Royal Society Open Science 5, no. 5 (May 2018): 171532. http://dx.doi.org/10.1098/rsos.171532.

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Populations of the non-migratory estuarine fish Fundulus heteroclitus inhabiting the heavily polluted New Bedford Harbour (NBH) estuary have shown inherited tolerance to local pollutants introduced to their habitats in the past 100 years. Here we examine two questions: (i) Is there pollution-driven selection on the mitochondrial genome across a fine geographical scale? and (ii) What is the pattern of migration among sites spanning a strong pollution gradient? Whole mitochondrial genomes were analysed for 133 F. heteroclitus from seven nearby collection sites: four sites along the NBH pollution cline (approx. 5 km distance), which had pollution-adapted fish, as well as one site adjacent to the pollution cline and two relatively unpolluted sites about 30 km away, which had pollution-sensitive fish. Additionally, we used microsatellite analyses to quantify genetic variation over three F. heteroclitus generations in both pollution-adapted and sensitive individuals collected from two sites at two different time points (1999/2000 and 2007/2008). Our results show no evidence for a selective sweep of mtDNA in the polluted sites. Moreover, mtDNA analyses revealed that both pollution-adapted and sensitive populations harbour similar levels of genetic diversity. We observed a high level of non-synonymous mutations in the most polluted site. This is probably associated with a reduction in N e and concomitant weakening of purifying selection, a demographic expansion following a pollution-related bottleneck or increased mutation rates. Our demographic analyses suggest that isolation by distance influences the distribution of mtDNA genetic variation between the pollution cline and the clean populations at broad spatial scales. At finer scales, population structure is patchy, and neither spatial distance, pollution concentration or pollution tolerance is a good predictor of mtDNA variation. Lastly, microsatellite analyses revealed stable population structure over the last decade.

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Liu, Chunyi. "Legal Reconstitution of Remedies for Damage Caused by Genetic Pollution." Open Journal of Social Sciences 09, no. 02 (2021): 451–67. http://dx.doi.org/10.4236/jss.2021.92029.

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Lesser, D. "Asthma and Pollution in Minority Youth: Effect of Genetic Ancestry." AAP Grand Rounds 36, no. 3 (September 1, 2016): 33. http://dx.doi.org/10.1542/gr.36-3-33.

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Snyder, C. D., and A. C. Hendricks. "Genetic Responses of Isonychia bicolor (Ephemeroptera:Isonychiidae) to Chronic Mercury Pollution." Journal of the North American Benthological Society 16, no. 3 (September 1997): 651–63. http://dx.doi.org/10.2307/1468151.

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Ayaz, Md. "Groundwater Pollution Source Identification Using Genetic Algorithm Based Optimization Model." International Journal of Computer Sciences and Engineering 5, no. 10 (October 30, 2017): 65–72. http://dx.doi.org/10.26438/ijcse/v5i10.6572.

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Zhang, Zuo-Feng, Lina Mu, Jinkou Zhao, Ming Wu, Claire Kim, and Shen-Chih Chang. "Indoor Air Pollution, Inflammation-Related Genetic Susceptibility And Lung Cancer." ISEE Conference Abstracts 2015, no. 1 (August 20, 2015): 1740. http://dx.doi.org/10.1289/isee.2015.2015-1740.

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Rodríguez-Ariza, A., E. Martínez-Lara, P. Pascual, J. R. Pedrajas, N. Abril, G. Dorado, F. Toribio, et al. "Biochemical and genetic indices of marine pollution in Spanish littoral." Science of The Total Environment 134 (January 1993): 109–16. http://dx.doi.org/10.1016/s0048-9697(05)80009-9.

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Cartwright, Hugh M., and Stephen P. Harris. "Analysis of the distribution of airborne pollution using genetic algorithms." Atmospheric Environment. Part A. General Topics 27, no. 12 (August 1993): 1783–91. http://dx.doi.org/10.1016/0960-1686(93)90284-6.

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Scherb, Hagen, and Kristina Voigt. "Adverse genetic effects induced by chemical or physical environmental pollution." Environmental Science and Pollution Research 18, no. 5 (April 14, 2010): 695–96. http://dx.doi.org/10.1007/s11356-010-0332-0.

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Potts, B. M., R. C. Barbour, A. B. Hingston, and R. E. Vaillancourt. "Genetic pollution of native eucalypt gene pools—identifying the risks." Australian Journal of Botany 51, no. 1 (2003): 1. http://dx.doi.org/10.1071/bt02035.

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The contamination of native-eucalypt gene pools via exotic pollen is of concern as (i) pollen dispersal is believed to be much more widespread than seed dispersal, (ii) reproductive barriers are often weak between closely related species, (iii) European settlement has already had a major impact on Australia's eucalypt woodlands and mallee, (iv) there has been a rapid expansion of eucalypt plantations and restoration plantings in Australia and (v) Australia is the custodian of an internationally important genetic resource. Pollen flow between plantation and native eucalypt species has already been reported and implementation of strategies to minimise the risk and consequences of genetic pollution is important if Australian forestry is to be considered sustainable. The risks associated with the introduction of non-native species, provenances and hybrids include direct effects on the gene pool through genetic pollution as well as indirect effects on dependent biodiversity. In many cases, the risk of genetic pollution will be small due to strong barriers to hybridisation between distantly related species, differences in flowering time or poor fitness of hybrids. There is no risk of hybridisation between species from the different major eucalypt genera and/or subgenera (e.g. symphyomyrts, monocalypts, eudesmids, bloodwoods and angophora). The main plantation species are symphyomyrts and within this subgenus, the probability of successful hybridisation generally decreases with increasing taxonomic distance between species. The planting of non-local provenances or improved material within the range of native populations has the potential to have an impact on local gene pools to varying degrees, indicating the requirement for the adoption of management strategies to reduce this risk. Naturally small or remnant populations are at particular risk. A framework for assessment of the risk of genetic pollution is developed herein.

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Han, Kexue, Rui Zuo, Pengcheng Ni, Zhenkun Xue, Donghui Xu, Jinsheng Wang, and Dan Zhang. "Application of a genetic algorithm to groundwater pollution source identification." Journal of Hydrology 589 (October 2020): 125343. http://dx.doi.org/10.1016/j.jhydrol.2020.125343.

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Hüls, Anke, Dorothee Sugiri, Michael J. Abramson, Barbara Hoffmann, Holger Schwender, Katja Ickstadt, Ursula Krämer, and Tamara Schikowski. "Benefits of improved air quality on ageing lungs: impacts of genetics and obesity." European Respiratory Journal 53, no. 4 (February 14, 2019): 1801780. http://dx.doi.org/10.1183/13993003.01780-2018.

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IntroductionThe beneficial effect of improving air quality on lung function in the elderly remains unclear. We examined associations between decline in air pollutants and lung function, and effect modifications by genetics and body mass index (BMI), in elderly German women.MethodsData were analysed from the prospective SALIA (Study on the influence of Air pollution on Lung function, Inflammation and Aging) study (n=601). Spirometry was conducted at baseline (1985–1994; age 55 years), in 2007–2010 and in 2012–2013. Air pollution concentrations at home addresses were determined for each time-point using land-use regression models. Global Lung Initiative 2012 z-scores were calculated. Weighted genetic risk scores (GRSs) were determined from lung function-related risk alleles and used to investigate interactions with improved air quality. Multiple linear mixed models were fitted.ResultsAir pollution levels decreased substantially during the study period. Reduction of air pollution was associated with an increase in z-scores for forced expiratory volume in 1 s (FEV1) and the FEV1/forced vital capacity ratio. For a decrease of 10 µg·m−3 in nitrogen dioxide (NO2), the z-score for FEV1 increased by 0.14 (95% CI 0.01–0.26). However, with an increasing number of lung function-related risk alleles, the benefit from improved air quality decreased (GRS×NO2 interaction: p=0.029). Interactions with BMI were not significant.ConclusionsReduction of air pollution is associated with a relative improvement of lung function in elderly women, but also depends on their genetic make-up.

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Papadopulos, Alexander S. T., Andrew J. Helmstetter, Owen G. Osborne, Aaron A. Comeault, Daniel P. Wood, Edward A. Straw, Laurence Mason, et al. "Rapid Parallel Adaptation to Anthropogenic Heavy Metal Pollution." Molecular Biology and Evolution 38, no. 9 (May 5, 2021): 3724–36. http://dx.doi.org/10.1093/molbev/msab141.

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Abstract The impact of human-mediated environmental change on the evolutionary trajectories of wild organisms is poorly understood. In particular, capacity of species to adapt rapidly (in hundreds of generations or less), reproducibly and predictably to extreme environmental change is unclear. Silene uniflora is predominantly a coastal species, but it has also colonized isolated, disused mines with phytotoxic, zinc-contaminated soils. To test whether rapid, parallel adaptation to anthropogenic pollution has taken place, we used reduced representation sequencing (ddRAD) to reconstruct the evolutionary history of geographically proximate mine and coastal population pairs and found largely independent colonization of mines from different coastal sites. Furthermore, our results show that parallel evolution of zinc tolerance has occurred without gene flow spreading adaptive alleles between mine populations. In genomic regions where signatures of selection were detected across multiple mine-coast pairs, we identified genes with functions linked to physiological differences between the putative ecotypes, although genetic differentiation at specific loci is only partially shared between mine populations. Our results are consistent with a complex, polygenic genetic architecture underpinning rapid adaptation. This shows that even under a scenario of strong selection and rapid adaptation, evolutionary responses to human activities (and other environmental challenges) may be idiosyncratic at the genetic level and, therefore, difficult to predict from genomic data.

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Parihar, Arti. "GENETIC AND ENVIRONMENTAL FACTORS IN CANCER PATHOGENESIS." International Journal of Research -GRANTHAALAYAH 3, no. 9SE (September 30, 2015): 1–3. http://dx.doi.org/10.29121/granthaalayah.v3.i9se.2015.3203.

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With modern civilization cancer pathogenesis has become a very serious problem in our society. There have been many causes of cancer that includes person’s life style and environmental factors. Successful management of life style and environmental pollution can reduce risks of cancer in our society.

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Gavrishin, A. I. "Evaluation of chemical composition quality of surface water in the eastern Donbass." Геоэкология. Инженерная геология. Гидрогеология. Геокриология, no. 4 (September 14, 2019): 61–67. http://dx.doi.org/10.31857/s0869-78092019461-67.

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The regularities in forming chemical composition of mine and surface waters in the Eastern Donbass were studied using the techniques of statistical estimation of component concentration distributions, the methods of assessing environment pollution, and the digital computer technology on multidimensional classification observations AGAT-2. The article shows that the mine water in the Eastern Donbass is a powerful source of polluting environment, causing serious ecological damage to the territory. Coal mine water contain a lot of dissolved substances up to 413 thousand t/year, among which macro components and various metals forming a significant part. The mean concentrations of most components in mine water hundreds times exceed the maximum allowable concentrations (MACs), and they exceed the maximum concentrations in thousands times. The surface water quality was analyzed in the region proceeding from the results of testing small rivers and streams. Using classification technologies, five genetic variants of surface waters were identified by the macrocomponents. The first option characterizes the initial phase of surface water formation outside the pollution impact. Other options reflect the growing degree of water pollution in the region. The distribution of genetic water variants was shown throughout the region. The calculation of surface water pollution by 20 components revealed the cumulative indicator of pollution to be equal to 108 corresponding to the emergency crisis category. About 65% components exceed MAC. Surface water classes uniform in the content of 15 metals were distinguished using the digital computer technology AGAT-2. A cumulative indicator of pollution varies from 27 to 65, which corresponds to a tense and emergency crisis situations. Therefore, mine waters pollute significantly the surface waters in the Eastern Donbass. Conclusion is made about the need for rehabilitation measures in order to improve the quality of surface waters in the region.

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Ruggeri, Paolo, Xiao Du, Douglas Crawford, and Marjorie Oleksiak. "Evolutionary Toxicogenomics of the Striped Killifish (Fundulus majalis) in the New Bedford Harbor (Massachusetts, USA)." International Journal of Molecular Sciences 20, no. 5 (March 5, 2019): 1129. http://dx.doi.org/10.3390/ijms20051129.

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In this paper, we used a Genotyping-by-Sequencing (GBS) approach to find and genotype more than 4000 genome-wide SNPs (Single Nucleotide Polymorphisms) from striped killifish exposed to a variety of polychlorinated biphenyls (PCBs) and other aromatic pollutants in New Bedford Harbor (NBH, Massachusetts, USA). The aims of this study were to identify the genetic consequences of exposure to aquatic pollutants and detect genes that may be under selection. Low genetic diversity (HE and π) was found in the site exposed to the highest pollution level, but the pattern of genetic diversity did not match the pollution levels. Extensive connectivity was detected among sampling sites, which suggests that balanced gene flow may explain the lack of genetic variation in response to pollution levels. Tests for selection identified 539 candidate outliers, but many of the candidate outliers were not shared among tests. Differences among test results likely reflect different test assumptions and the complex pollutant mixture. Potentially, selectively important loci are associated with 151 SNPs, and enrichment analysis suggests a likely involvement of these genes with pollutants that occur in NBH. This result suggests that selective processes at genes targeted by pollutants may be occurring, even at a small geographical scale, and may allow the local striped killifish to resist the high pollution levels.

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Paruch, Lisa, and Adam M. Paruch. "An Overview of Microbial Source Tracking Using Host-Specific Genetic Markers to Identify Origins of Fecal Contamination in Different Water Environments." Water 14, no. 11 (June 4, 2022): 1809. http://dx.doi.org/10.3390/w14111809.

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Fecal contamination of water constitutes a serious health risk to humans and environmental ecosystems. This is mainly due to the fact that fecal material carries a variety of enteropathogens, which can enter and circulate in water bodies through fecal pollution. In this respect, the prompt identification of the polluting source(s) is pivotal to guiding appropriate target-specific remediation actions. Notably, microbial source tracking (MST) is widely applied to determine the host origin(s) contributing to fecal water pollution through the identification of zoogenic and/or anthropogenic sources of fecal environmental DNA (eDNA). A wide array of host-associated molecular markers have been developed and exploited for polluting source attribution in various aquatic ecosystems. This review is intended to provide the most up-to-date overview of genetic marker-based MST studies carried out in different water types, such as freshwaters (including surface and groundwaters) and seawaters (from coasts, beaches, lagoons, and estuaries), as well as drinking water systems. Focusing on the latest scientific progress/achievements, this work aims to gain updated knowledge on the applicability and robustness of using MST for water quality surveillance. Moreover, it also provides a future perspective on advancing MST applications for environmental research.

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Lamoreaux, Janelle. "“Passing Down Pollution”: (Inter)generational Toxicology and (Epi)genetic Environmental Health." Medical Anthropology Quarterly 35, no. 4 (December 2021): 529–46. http://dx.doi.org/10.1111/maq.12679.

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Kukurina, Borislava, and George Miloshev. "Genetic changes in natural Taraxacum officinale populations obtained under pollution stress." BioDiscovery 20 (August 1, 2017): e18712. http://dx.doi.org/10.3897/biodiscovery.20.e18712.

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Perera, Frederica P., Kari Hemminki, Ewa Gryzbowska, Grazyna Motykiewicz, Jadwiga Michalska, Regina M. Santella, Tie-Lan Young, et al. "Molecular and genetic damage in humans from environmental pollution in Poland." Nature 360, no. 6401 (November 19, 1992): 256–58. http://dx.doi.org/10.1038/360256a0.

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Hüls, Anke, Aneesa Vanker, Diane Gray, Nastassja Koen, Julia L. MacIsaac, David T. S. Lin, Katia E. Ramadori, et al. "Genetic susceptibility to asthma increases the vulnerability to indoor air pollution." European Respiratory Journal 55, no. 3 (January 16, 2020): 1901831. http://dx.doi.org/10.1183/13993003.01831-2019.

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IntroductionIndoor air pollution and maternal smoking during pregnancy are associated with respiratory symptoms in infants, but little is known about the direct association with lung function or interactions with genetic risk factors. We examined associations of exposure to indoor particulate matter with a 50% cut-off aerodynamic diameter of 10 µm (PM10) and maternal smoking with infant lung function and the role of gene–environment interactions.MethodsData from the Drakenstein Child Health Study, a South African birth cohort, were analysed (n=270). Lung function was measured at 6 weeks and 1 year of age, and lower respiratory tract infection episodes were documented. We measured pre- and postnatal PM10 exposures using devices placed in homes, and prenatal tobacco smoke exposure using maternal urine cotinine levels. Genetic risk scores determined from associations with childhood-onset asthma in the UK Biobank were used to investigate effect modifications.ResultsPre- and postnatal exposure to PM10 as well as maternal smoking during pregnancy were associated with reduced lung function at 6 weeks and 1 year as well as with lower respiratory tract infection in the first year. Due to a significant interaction between the genetic risk score and prenatal exposure to PM10, infants carrying more asthma-related risk alleles were more susceptible to PM10-associated reduced lung function (pinteraction=0.007). This interaction was stronger in infants with Black African ancestry (pinteraction=0.001) and nonexistent in children with mixed ancestry (pinteraction=0.876).ConclusionsPM10 and maternal smoking exposures were associated with reduced lung function, with a higher susceptibility for infants with an adverse genetic predisposition for asthma that also depended on the infant's ancestry.

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de Souza, Paulo Antônio. "Air Pollution Monitoring Using Genetic Algorithm, Fuzzy Logic and Neural Networks." IFAC Proceedings Volumes 30, no. 19 (September 1997): 617–20. http://dx.doi.org/10.1016/s1474-6670(17)42368-8.

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Shad, Rouzbeh, Mohammad Saadi Mesgari, Aliakbar abkar, and Arefeh Shad. "Predicting air pollution using fuzzy genetic linear membership kriging in GIS." Computers, Environment and Urban Systems 33, no. 6 (November 2009): 472–81. http://dx.doi.org/10.1016/j.compenvurbsys.2009.10.004.

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Vecoli, Cecilia, Silvia Pulignani, and Maria Andreassi. "Genetic and Epigenetic Mechanisms Linking Air Pollution and Congenital Heart Disease." Journal of Cardiovascular Development and Disease 3, no. 4 (November 29, 2016): 32. http://dx.doi.org/10.3390/jcdd3040032.

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Goldstein, Robert A., Betty H. Olson, and Donald B. Porcella. "Conceptual model of genetic regulation of mercury biogeochemical cycling." Environmental Technology Letters 9, no. 9 (September 1988): 957–64. http://dx.doi.org/10.1080/09593338809384656.

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Wojnicka-Półtorak, Aleksandra. "Changes of genetic structure of Pinus sylvestris L. populations exposed to industrial pollution." Acta Societatis Botanicorum Poloniae 66, no. 1 (2014): 73–78. http://dx.doi.org/10.5586/asbp.1997.011.

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Isoenzymatic variation of <em>Pinus sylvestris</em> was analysed in populations from a provenance trial (IUFRO 1982) in Kórnik and their replication in Luboń. The two groups of populations originated from the same seed pool, but the one in Luboń was exposed to pollutants emitted during the production of nitrogen-phosphorus fertilizers, while the Kórnik provenance trial were used as a control group. The parameters determining the genetic structure of the studied populations - frequency of alleles and genotypes (average number of alleles and genotypes per locus), observed heterozygosity (Ho), and genotypic polymorphism index (Pg) - have higher values in the group of trees tolerant to pollution. Also fixation index (F), which indicates that homozygotic genotypes underwent selection in this group, as well as dendrites and dendrograms according to Nei and Hedrick, suggest that the genetic structure of the populations exposed to pollution was changed. The obtained results indicate that populations characterized by a greater genetic diversity are more tolerant to pollution.

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Delavar, Mahmoud, Amin Gholami, Gholam Shiran, Yousef Rashidi, Gholam Nakhaeizadeh, Kurt Fedra, and Smaeil Hatefi Afshar. "A Novel Method for Improving Air Pollution Prediction Based on Machine Learning Approaches: A Case Study Applied to the Capital City of Tehran." ISPRS International Journal of Geo-Information 8, no. 2 (February 23, 2019): 99. http://dx.doi.org/10.3390/ijgi8020099.

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Abstract:

Environmental pollution has mainly been attributed to urbanization and industrial developments across the globe. Air pollution has been marked as one of the major problems of metropolitan areas around the world, especially in Tehran, the capital of Iran, where its administrators and residents have long been struggling with air pollution damage such as the health issues of its citizens. As far as the study area of this research is concerned, a considerable proportion of Tehran air pollution is attributed to PM10 and PM2.5 pollutants. Therefore, the present study was conducted to determine the prediction models to determine air pollutions based on PM10 and PM2.5 pollution concentrations in Tehran. To predict the air-pollution, the data related to day of week, month of year, topography, meteorology, and pollutant rate of two nearest neighbors as the input parameters and machine learning methods were used. These methods include a regression support vector machine, geographically weighted regression, artificial neural network and auto-regressive nonlinear neural network with an external input as the machine learning method for the air pollution prediction. A prediction model was then proposed to improve the afore-mentioned methods, by which the error percentage has been reduced and improved by 57%, 47%, 47% and 94%, respectively. The most reliable algorithm for the prediction of air pollution was autoregressive nonlinear neural network with external input using the proposed prediction model, where its one-day prediction error reached 1.79 µg/m3. Finally, using genetic algorithm, data for day of week, month of year, topography, wind direction, maximum temperature and pollutant rate of the two nearest neighbors were identified as the most effective parameters in the prediction of air pollution.

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Zhang, Xu, Huanhuan Yang, and Zhaojie Cui. "Mucor circinelloides: efficiency of bioremediation response to heavy metal pollution." Toxicology Research 6, no. 4 (2017): 442–47. http://dx.doi.org/10.1039/c7tx00110j.

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Kikis, Elise A. "The proteostatic effects of traffic-derived air pollution on Alzheimer's disease risk." Open Biology 10, no. 8 (August 2020): 200146. http://dx.doi.org/10.1098/rsob.200146.

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Alzheimer's disease (AD) is an age-related neurodegenerative disease and the leading cause of dementia in the elderly. Recent decades have been marked by considerable advances in our understanding of genetic and environmental risk factors and also of the AD mechanism(s) of action. Nonetheless, there is still no cure and the myriad ways AD affects the brain is overwhelmingly complex. Such complexity is manifest in part by the fact that genetic background interacts with the environment, including traffic-derived particulate air pollution, to greatly exacerbate AD risk. Determining the mechanisms by which particulate air pollution acts as an AD risk factor has the potential to reveal yet unknown aspects of AD pathology. This review carefully peels back the layers of complexity to discern whether a unifying disease model, one with proteostasis imbalance at its core, holds up to scrutiny in light of the recent literature. While the data are compelling, it is now time for carefully designed studies to definitively determine whether particulate air pollution acts with ageing, genetic background and other sources of proteotoxic stress to disrupt the delicate proteostasis balance.

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Larsson, Josefine, Mikael Lönn, Emma E. Lind, Justyna Świeżak, Katarzyna Smolarz, and Mats Grahn. "Sewage treatment plant associated genetic differentiation in the blue mussel from the Baltic Sea and Swedish west coast." PeerJ 4 (October 27, 2016): e2628. http://dx.doi.org/10.7717/peerj.2628.

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Human-derived environmental pollutants and nutrients that reach the aquatic environment through sewage effluents, agricultural and industrial processes are constantly contributing to environmental changes that serve as drivers for adaptive responses and evolutionary changes in many taxa. In this study, we examined how two types of point sources of aquatic environmental pollution, harbors and sewage treatment plants, affect gene diversity and genetic differentiation in the blue mussel in the Baltic Sea area and off the Swedish west coast (Skagerrak). Reference sites (REF) were geographically paired with sites from sewage treatments plant (STP) and harbors (HAR) with a nested sampling scheme, and genetic differentiation was evaluated using a high-resolution marker amplified fragment length polymorphism (AFLP). This study showed that genetic composition in the Baltic Sea blue mussel was associated with exposure to sewage treatment plant effluents. In addition, mussel populations from harbors were genetically divergent, in contrast to the sewage treatment plant populations, suggesting that there is an effect of pollution from harbors but that the direction is divergent and site specific, while the pollution effect from sewage treatment plants on the genetic composition of blue mussel populations acts in the same direction in the investigated sites.

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Chang, Ni-Bin, and W. C. Chen. "Fuzzy controller design for municipal incinerators with the aid of genetic algorithms and genetic programming techniques." Waste Management & Research 18, no. 5 (October 2000): 429–43. http://dx.doi.org/10.1177/0734242x0001800504.

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Journal articles on the topic 'Genetic pollution'

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