28 research outputs found

    VariabilitĂ© climatique et son incidence sur les ressources en eaux de surface : cas des stations de Bocanda et de Dimbokro, Centre-Est de la CĂŽte d'Ivoire en Afrique de l’Ouest

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    L’étude du changement climatique et de la variabilitĂ© climatique est d’une trĂšs grande importance pour la gestion et la planification des ressources en eau. Cet article examine l’impact du changement climatique sur l’évolution du N’zi (principal cours d’eau de la zone). Les sĂ©ries chronologiques de pluies et de dĂ©bits ont Ă©tĂ© utilisĂ©es Ă  cet effet. L’application des mĂ©thodes de Nicholson, de Maillet ainsi que des tests statistiques de dĂ©tection de ruptures (test de Buishand, test de Hubert, test de Lee Heghinian et test de Pettitt), et de tendances (test de Mann-Kendall, test de Sen’s) ont permis d’une part de mettre en Ă©vidence une variabilitĂ© climatique caractĂ©risĂ©e par une alternance de pĂ©riodes humides, normales et sĂšches, et d’autre part de dĂ©tecter des ruptures en 1968 pour Dimbokro et en 1975 pour M’bahiakro et Bocanda Ces ruptures s’accompagnent d’une tendance de la baisse de la pluviomĂ©trie (10 Ă  18 %) et des volumes mobilisĂ©s par les aquifĂšres (30 Ă  51 %.). Ce travail constitue une base indispensable pour une meilleure connaissance des ressources en eau des bassins Ă©tudiĂ©s.Mots-clĂ©s: variabilitĂ© climatique, sĂ©ries chronologiques, tendances et ruptures, tests statistiques, CĂŽte d'Ivoire.Climate variability and its impact on water resources of surface: case of stations of Bocanda and Dimbokro (east-central CĂŽte d'Ivoire in West Africa) Climate change and climate variability studies are of great importance for water resources and management and planning in this paper, we put our attention on the impact of these two phenomena on the water resources availability of the N’zi river basin (Main River of the area of study). Rainfall and runoff time series have been used for. Nicholson and Maillet methods and statistical tests for homogeneity (Buishand’s, Hubert’s, Lee and Heghinian’s and Pettitt’s tests) and for trend (Mann Kendall’ test, and Sen’s slope estimator). Nicholson’s and Maillet’s method allow to put in evidence the climate variability with a random succession of periods of excess and deficits. Statistical tests for homogeneity have detected downwards shifts (10% to 51%) in the time series of rainfall beginning in 1968 for Dimbokro and in 1975 for M’bahiakro and Bocanda and in the groundwater (30% to 51%). The work we present in this paper is a preliminary for efficient water management of the N’zi river basin.Keywords: climate variability, times series, statistical tests, homogeneity and trend test, CĂŽte d'Ivoir

    Drug coverage in treatment of malaria and the consequences for resistance evolution - evidence from the use of sulphadoxine/pyrimethamine

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    BACKGROUND\ud \ud It is argued that, the efficacy of anti-malarials could be prolonged through policy-mediated reductions in drug pressure, but gathering evidence of the relationship between policy, treatment practice, drug pressure and the evolution of resistance in the field is challenging. Mathematical models indicate that drug coverage is the primary determinant of drug pressure and the driving force behind the evolution of drug resistance. These models show that where the basis of resistance is multigenic, the effects of selection can be moderated by high recombination rates, which disrupt the associations between co-selected resistance genes.\ud \ud METHODS\ud \ud To test these predictions, dhfr and dhps frequency changes were measured during 2000-2001 while SP was the second-line treatment and contrasted these with changes during 2001-2002 when SP was used for first-line therapy. Annual cross sectional community surveys carried out before, during and after the policy switch in 2001 were used to collect samples. Genetic analysis of SP resistance genes was carried out on 4,950 Plasmodium falciparum infections and the selection pressure under the two policies compared.\ud \ud RESULTS\ud \ud The influence of policy on the parasite reservoir was profound. The frequency of dhfr and dhps resistance alleles did not change significantly while SP was the recommended second-line treatment, but highly significant changes occurred during the subsequent year after the switch to first line SP. The frequency of the triple mutant dhfr (N51I,C59R,S108N) allele (conferring pyrimethamine resistance) increased by 37% - 63% and the frequency of the double A437G, K540E mutant dhps allele (conferring sulphadoxine resistance) increased 200%-300%. A strong association between these unlinked alleles also emerged, confirming that they are co-selected by SP.\ud \ud CONCLUSION\ud \ud The national policy change brought about a shift in treatment practice and the resulting increase in coverage had a substantial impact on drug pressure. The selection applied by first-line use is strong enough to overcome recombination pressure and create significant linkage disequilibrium between the unlinked genetic determinants of pyrimethamine and sulphadoxine resistance, showing that recombination is no barrier to the emergence of resistance to combination treatments when they are used as the first-line malaria therapy

    Global urban environmental change drives adaptation in white clover.

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    Urbanization transforms environments in ways that alter biological evolution. We examined whether urban environmental change drives parallel evolution by sampling 110,019 white clover plants from 6169 populations in 160 cities globally. Plants were assayed for a Mendelian antiherbivore defense that also affects tolerance to abiotic stressors. Urban-rural gradients were associated with the evolution of clines in defense in 47% of cities throughout the world. Variation in the strength of clines was explained by environmental changes in drought stress and vegetation cover that varied among cities. Sequencing 2074 genomes from 26 cities revealed that the evolution of urban-rural clines was best explained by adaptive evolution, but the degree of parallel adaptation varied among cities. Our results demonstrate that urbanization leads to adaptation at a global scale
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