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Developing an efficient and safe antifungal is challenging because of the similar biological properties of fungal and host cells. Consequently, there is an urgent need to better understand the mechanisms underlying antifungal resistance to prolong the efficacy of current molecules. A major step in this direction would be to be able to predict or even prevent the acquisition of resistance. We leverage the power of experimental evolution to quantify the diversity of paths to resistance to the antifungal 5-fluorocytosine (5-FC), commercially known as flucytosine. We generated hundreds of independent 5-FC resistant mutants derived from two genetic backgrounds from wild isolates of\n                    <jats:italic>Saccharomyces cerevisiae<\/jats:italic>\n                    . Through automated pin-spotting, whole-genome and amplicon sequencing, we identified the most likely causes of resistance for most strains. Approximately a third of all resistant mutants evolved resistance through a pleiotropic drug response, a potentially novel mechanism in response to 5-FC, marked by cross-resistance to fluconazole. These cross-resistant mutants are characterized by a loss of respiration and a strong tradeoff in drug-free media. For the majority of the remaining two thirds, resistance was acquired through loss-of-function mutations in\n                    <jats:italic>FUR1<\/jats:italic>\n                    , which encodes an important enzyme in the metabolism of 5-FC. We describe conditions in which mutations affecting this particular step of the metabolic pathway are favored over known resistance mutations affecting a step upstream, such as the well-known target cytosine deaminase encoded by\n                    <jats:italic>FCY1<\/jats:italic>\n                    . This observation suggests that ecological interactions may dictate the identity of resistance hotspots.\n                  <\/jats:p>","DOI":"10.1371\/journal.pgen.1011002","type":"journal-article","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T13:57:21Z","timestamp":1697723841000},"page":"e1011002","update-policy":"https:\/\/doi.org\/10.1371\/journal.pgen.corrections_policy","source":"Crossref","is-referenced-by-count":15,"title":["Cross-feeding affects the target of resistance evolution to an antifungal drug"],"prefix":"10.1371","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7681-4727","authenticated-orcid":true,"given":"Romain","family":"Durand","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5286-6216","authenticated-orcid":true,"given":"Jordan","family":"Jalbert-Ross","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2278-9842","authenticated-orcid":true,"given":"Anna","family":"Fijarczyk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8718-9894","authenticated-orcid":true,"given":"Alexandre K.","family":"Dub\u00e9","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3028-6866","authenticated-orcid":true,"given":"Christian R.","family":"Landry","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2023,10,19]]},"reference":[{"key":"pgen.1011002.ref001","unstructured":"QuickStats: Death Rate* From Complications of Medical and Surgical Care Among Adults Aged \u226545 Years, by Age Group\u2014United States, 1999\u20132009. 21 Sep 2012 [cited 10 Mar 2023]. https:\/\/www.cdc.gov\/mmwr\/preview\/mmwrhtml\/mm6137a6.htm"},{"key":"pgen.1011002.ref002","unstructured":"The top 10 causes of death. 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