@article{fba49216743e4463b47ad90716371bda,
title = "Application of simultaneous selective pressures slows adaptation",
abstract = "Beneficial mutations that arise in an evolving asexual population may compete or interact in ways that alter the overall rate of adaptation through mechanisms such as clonal or functional interference. The application of multiple selective pressures simultaneously may allow for a greater number of adaptive mutations, increasing the opportunities for competition between selectively advantageous alterations, and thereby reducing the rate of adaptation. We evolved a strain of Saccharomyces cerevisiae that could not produce its own histidine or uracil for ~500 generations under one or three selective pressures: limitation of the concentration of glucose, histidine, and/or uracil in the media. The rate of adaptation was obtained by measuring evolved relative fitness using competition assays. Populations evolved under a single selective pressure showed a statistically significant increase in fitness on those pressures relative to the ancestral strain, but the populations evolved on all three pressures did not show a statistically significant increase in fitness over the ancestral strain on any single pressure. Simultaneously limiting three essential nutrients for a population of S. cerevisiae effectively slows the rate of evolution on any one of the three selective pressures applied, relative to the single selective pressure cases. We identify possible mechanisms for fitness changes seen between populations evolved on one or three limiting nutrient pressures by high-throughput sequencing. Adding multiple selective pressures to evolving disease like cancer and infectious diseases could reduce the rate of adaptation and thereby may slow disease progression, prolong drug efficacy and prevent deaths.",
keywords = "adaptation, cancer therapy, clonal interference, functional interference, slowing evolution",
author = "Merlo, {Lauren M.F.} and Kathleen Sprouffske and Howard, {Taylor C.} and Gardiner, {Kristin L.} and Caulin, {Aleah F.} and Blum, {Steven M.} and Perry Evans and Antonio Bedalov and Sniegowski, {Paul D.} and Maley, {Carlo C.}",
note = "Funding Information: This work has been funded by NIH F32 CA132450 to LMFM; US Department of Energy Computational Science Graduate Fellowship, DE‐FG02‐97ER25308 to AFC; National Genome Research Institute T32 HG000046 to KS; NIH R01 GM079843‐01 to PDS; NIH R01 GM117446 to AB; The Wistar Institute, Landon AACR Innovator Award for Cancer Prevention, Research Scholar Grant 117209‐RSG‐09‐163‐01‐CNE from the American Cancer Society and NIH grants U54 CA217376, U2C CA233254, R03 CA137811, P01 CA91955, P30 CA010815, R01 CA149566, R01 CA170595, R01 CA185138 and R01 CA140657 as well as CDMRP Breast Cancer Research Program Award BC132057 to CCM. Funding Information: This work has been funded by NIH F32 CA132450 to LMFM; US Department of Energy Computational Science Graduate Fellowship, DE-FG02-97ER25308 to AFC; National Genome Research Institute T32 HG000046 to KS; NIH R01 GM079843-01 to PDS; NIH R01 GM117446 to AB; The Wistar Institute, Landon AACR Innovator Award for Cancer Prevention, Research Scholar Grant 117209-RSG-09-163-01-CNE from the American Cancer Society and NIH grants U54 CA217376, U2C CA233254, R03 CA137811, P01 CA91955, P30 CA010815, R01 CA149566, R01 CA170595, R01 CA185138 and R01 CA140657 as well as CDMRP Breast Cancer Research Program Award BC132057 to CCM. The authors wish to thank John Koschwanez for helpful comments, John Pepper for suggesting the original idea for the study and Shane Jensen for advice on statistical analyses. We also thank the following individuals for help with maintenance of long-term cultures and counting of plates for fitness measurements: Marcin Imielinski, Rumen Kostadinov, Rachel Cohen, Sanchaika Gaur, and Erin O'Brien. Publisher Copyright: {\textcopyright} 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd",
year = "2020",
month = aug,
day = "1",
doi = "10.1111/eva.13062",
language = "English (US)",
volume = "13",
pages = "1615--1625",
journal = "Evolutionary Applications",
issn = "1752-4571",
publisher = "Wiley-Blackwell",
number = "7",
}