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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Lagator, Mato
Languages: English
Types: Doctoral thesis
Subjects: QK
Our\ud understanding\ud of\ud the\ud evolutionary\ud dynamics\ud of\ud selection\ud for\ud herbicide\ud resistance\ud is\ud limited\ud by\ud the\ud time\ud and\ud space\ud required\ud to\ud conduct\ud meaningful\ud selection\ud experiments\ud in\ud higher\ud plants.\ud This\ud constrains\ud the\ud study\ud of\ud the\ud dynamics\ud of\ud resistance\ud evolution\ud predominantly\ud to\ud mathematical\ud models.\ud The\ud primary\ud goal\ud of\ud this\ud thesis\ud was\ud to\ud overcome\ud these\ud limitations,\ud and\ud to\ud study\ud the\ud evolutionary\ud phenomena\ud underpinning\ud several\ud management\ud strategies.\ud To\ud do\ud so,\ud a\ud series\ud of\ud experimental\ud evolution\ud studies\ud were\ud conducted\ud using\ud Chlamydomonas\ud reinhardtii,\ud a\ud single-­‐cell\ud green\ud chlorophyte\ud susceptible\ud to\ud a\ud range\ud of\ud commercial\ud herbicides.\ud In\ud particular,\ud this\ud thesis\ud explored\ud the\ud impact\ud of\ud herbicide\ud sequences,\ud rotations\ud and\ud mixtures,\ud as\ud well\ud the\ud impact\ud of\ud herbicide\ud dose,\ud on\ud evolution\ud of\ud resistance.\ud Applying\ud herbicides\ud in\ud sequence\ud allowed\ud the\ud study\ud of\ud the\ud impact\ud of\ud environmental\ud perturbation\ud on\ud the\ud dynamics\ud of\ud resistance\ud and\ud the\ud associated\ud fitness\ud costs,\ud finding\ud more\ud rapid\ud selection\ud for\ud resistance\ud to\ud a\ud second\ud and\ud third\ud mode\ud of\ud action\ud in\ud some\ud populations.\ud Cycling\ud between\ud herbicides\ud creates\ud conditions\ud of\ud temporal\ud environmental\ud heterogeneity,\ud the\ud outcomes\ud of\ud which\ud are\ud not\ud easily\ud predictable\ud as\ud resistance\ud was\ud slowed\ud down\ud in\ud some\ud cycling\ud regimes,\ud while\ud in\ud others\ud it\ud accelerated\ud the\ud evolution\ud of\ud resistance\ud or\ud gave\ud rise\ud to\ud cross-­‐resistance.\ud Herbicide\ud mixtures\ud are\ud a\ud management\ud strategy\ud relying\ud on\ud increases\ud in\ud environmental\ud complexity\ud to\ud provide\ud better\ud control\ud of\ud resistance.\ud The\ud results\ud presented\ud show\ud that\ud mixtures\ud were\ud effective\ud at\ud slowing\ud the\ud evolution\ud of\ud resistance\ud when\ud all\ud mixture\ud components\ud were\ud used\ud at\ud fully\ud effective\ud doses,\ud while\ud low\ud doses\ud of\ud mixtures\ud accelerated\ud resistance\ud evolution\ud and\ud led\ud to\ud more\ud cross-­‐resistance.\ud Finally,\ud modifications\ud of\ud the\ud applied\ud herbicide\ud dose\ud allowed\ud the\ud study\ud of\ud local\ud adaptation\ud along\ud an\ud environmental\ud gradient,\ud where\ud the\ud differences\ud in\ud outcomes\ud based\ud on\ud the\ud specific\ud herbicides\ud used\ud were\ud again\ud evident.\ud Overall,\ud the\ud work\ud presented\ud here\ud uses\ud applied\ud scenarios\ud to\ud study\ud the\ud underlying\ud evolutionary\ud phenomena,\ud in\ud order\ud to\ud feed\ud back\ud into\ud the\ud applied\ud thinking.
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