144 research outputs found

    Herbicide mixtures at high doses slow the evolution of resistance in experimentally evolving populations of Chlamydomonas reinhardtii

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    The widespread evolution of resistance to herbicides is a pressing issue in global agriculture. Evolutionary principles and practices are key to the management of this threat to global food security. The application of mixtures of herbicides has been advocated as an anti-resistance strategy, without substantial empirical support for its validation. We evolved experimentally populations of the unicellular green chlorophyte, Chlamydomonas reinhardtii, to minimum inhibitory concentrations (MICs) of single-herbicide modes of action and to pair-wise and three-way mixtures between different herbicides at various total combined doses. Herbicide mixtures were most effective when each component was applied at or close to its MIC. When doses were high, increasing the number of mixture components was also effective in reducing the evolution of resistance. Employing mixtures at low combined doses did not retard resistance evolution, even accelerating the evolution of resistance to some components. At low doses, increasing the number of herbicides in the mixture tended to select for more generalist resistance (cross-resistance). Our results reinforce findings from the antibiotic resistance literature and confirm that herbicide mixtures can be very effective for resistance management, but that mixtures should only be employed where the economic and environmental context permits the applications of high combined doses

    Limits to compensatory adaptation and the persistence of antibiotic resistance in pathogenic bacteria

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    The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Program (FP7/2007-2013)/ERC grant agreement no. 281591 and from the Royal Society.Peer reviewedPublisher PD

    Testing the Role of Genetic Background in Parallel Evolution Using the Comparative Experimental Evolution of Antibiotic Resistance

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    The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement no. 281591 and from the Royal Society. V.F. was supported by an MEC Postdoctoral Fellowship from the Spanish Government (EX-2010-0958). T.V. and M.K. carried out the experimental work and analyzed experimental data with R.C.M.; V.F. constructed the phylogeny; V.F. and T.V. carried out comparative analyses; T.V. and R.C.M. prepared the manuscript and all authors contributed to designing the study.Peer reviewedPublisher PD

    Identification of the Major Hydrological Threats for Two Clay Pan Wetlands in the South West of Australia

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    Abstract: This study presents the findings of a wetland ecohydrological model (WET-0D), used to recreate a historical water regime and predict the future water regime for two clay pan wetlands in South West Western Australia. WET-0D simulates the major hydrological fluxes through three conceptual water storages including the open water/lake, and surrounding unsaturated and saturated zones. Groundwater -soil water balance -vegetation (GSV) dynamics are modelled with plant biomass simulated as three functional vegetation groups with differing water uptake strategies and dependence on water availability. The wetland model was driven by a simple catchment water balance model, using historical climate data from the Bureau of Meteorology (BoM). To simulate the potential impact of climate change on wetland ecohydrology, statistically downscaled output from a Global Climate Model (GCM), based on the IPCC SRES A2 scenario, was used to drive the models to predict potential future water regimes. This allowed us to gain an insight of the impact of projected drying climate on the clay pan ecosystems. Although both clay pan catchments experience very similar climates, differences in the partitioning of rainfall and subsequent flow generation, due to different vegetation, soil type and topography, results in dissimilar hydrological regimes. Differences in the hydrological regimes alter the way predicted climate change affects water flux and hydroperiod (period of surface flooding of a wetland) in both clay pan systems. Historically, the modelling predicts the lake level in the North East clay pan is more dependent on overland flow, while the South West clay pan is more dependent on shallow groundwater flow from a seasonal aquifer. Under a drying climate the modelling predicts, the South West clay pan will become increasingly overland flow dependent. However, the shallow groundwater inputs to the clay pan prolong inundation by reducing the rate of seepage from the clay pan. The partial clearing of the catchment area for the South West clay pan has maximised groundwater recharge efficiency allowing maintenance of ecological water requirements under a drying climate. The North East clay pan is under greater threat due to the reliance of surface water inflow and the lack of groundwater input due to differences in catchment characteristics

    Predators reduce extinction risk in noisy metapopulations

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    Background Spatial structure across fragmented landscapes can enhance regional population persistence by promoting local “rescue effects.” In small, vulnerable populations, where chance or random events between individuals may have disproportionately large effects on species interactions, such local processes are particularly important. However, existing theory often only describes the dynamics of metapopulations at regional scales, neglecting the role of multispecies population dynamics within habitat patches. Findings By coupling analysis across spatial scales we quantified the interaction between local scale population regulation, regional dispersal and noise processes in the dynamics of experimental host-parasitoid metapopulations. We find that increasing community complexity increases negative correlation between local population dynamics. A potential mechanism underpinning this finding was explored using a simple population dynamic model. Conclusions Our results suggest a paradox: parasitism, whilst clearly damaging to hosts at the individual level, reduces extinction risk at the population level

    Migration highways and migration barriers created by host-parasite interactions

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    This is the author accepted manuscript. The final version is available from Wiley via the DOI in this record.Co-evolving parasites may play a key role in host migration and population structure. Using co-evolving bacteria and viruses, we test general hypotheses as to how co-evolving parasites affect the success of passive host migration between habitats that can support different intensities of host-parasite interactions. First, we show that parasites aid migration from areas of intense to weak co-evolutionary interactions and impede migration in the opposite direction, as a result of intraspecific apparent competition mediated via parasites. Second, when habitats show qualitative difference such that some environments support parasite persistence while others do not, different population regulation forces (either parasitism or competitive exclusion) will reduce the success of migration in both directions. Our study shows that co-evolution with parasites can predictably homogenises or isolates host populations, depending on heterogeneity of abiotic conditions, with the second scenario constituting a novel type of 'isolation by adaptation'.This study was funded by the National Natural Science Foundation of China (31670376 and 31421063) and the 111 project (B13008), and AB was supported by the Royal Society, BBSRC, NERC and AXA Research Fund

    Understanding the ecology and evolution of host-parasite interactions across scales

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    Predicting the emergence, spread and evolution of parasites within and among host populations requires insight to both the spatial and temporal scales of adaptation, including an understanding of within-host up through community-level dynamics. Although there are very few pathosystems for which such extensive data exist, there has been a recent push to integrate studies performed over multiple scales or to simultaneously test for dynamics occurring across scales. Drawing on examples from the literature, with primary emphasis on three diverse host-parasite case studies, we first examine current understanding of the spatial structure of host and parasite populations, including patterns of local adaptation and spatial variation in host resistance and parasite infectivity. We then explore the ways to measure temporal variation and dynamics in host-parasite interactions and discuss the need to examine change over both ecological and evolutionary timescales. Finally, we highlight new approaches and syntheses that allow for simultaneous analysis of dynamics across scales. We argue that there is great value in examining interplay among scales in studies of host-parasite interactions.Peer reviewe
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