BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250705T140607EDT-8019Kt2b7O@132.216.98.100 DTSTAMP:20250705T180607Z DESCRIPTION:Navigating protein fitness landscapes in multiple dimensions\n \nChristian Landry\, Université Laval\n Tuesday February 13\, 12-1pm\n Zoom Link: https://mcgill.zoom.us/j/86855481591\n In Person: 550 Sherbrooke\, Ro om 189\n \n Abstract: Proteins could have as many fitness landscapes as they have functions. The relationship between mutations and the performance of any two functions could be positively or negatively correlated\, making e volution on one landscape contingent on evolution on the other. Understand ing the evolution of proteins\, therefore\, requires that we characterize how mutations affect the multiple dimensions of the landscapes of protein functions. Here\, I will share our recent work on the deep mutational scan ning of two drug-resistance enzymes in which we examine more than one dime nsion at a time. In one project\, we examine the trade-off between resista nce to an antifungal drug and activity on the canonical substrate of the d rug target. We show that the trade-off between the two functions is very s teep and shaped by the difference in drug resistance and nutrient use dose -response functions. The two fitness functions are nearly perfectly negati vely correlated\, meaning no single mutation can lead to resistance while maintaining growth in conditions that require this enzyme. In the second p roject\, we examine how expression level affects the fitness landscape of an antibiotic resistance protein. By measuring the effect of all single mu tations at optimal and several suboptimal expression levels\, we show that optimal expression can mask the effects of many deleterious mutations on enzyme function. Surprisingly\, some beneficial mutations also appear to b e masked at optimal expression levels. Protein expression level is\, there fore\, a critical factor shaping the fitness landscape of proteins. These two studies illuminate complex protein evolution in heterogeneous growth a nd cellular environments.\n DTSTART:20240213T170000Z DTEND:20240213T180000Z SUMMARY:QLS Seminar Series - Christian Landry URL:/qls/channels/event/qls-seminar-series-christian-l andry-354494 END:VEVENT END:VCALENDAR