Hidden Randomness between Fitness Landscapes Limits Reverse Evolution

In biological evolution, adaptations to one environment can in some cases reverse adaptations to another environment. To study this “reverse evolution” on a genotypic level, we measured the fitness of E. coli strains with each possible combination of five mutations in an antibiotic-resistance gene i...

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Main Authors: Tan, Longzhi, Serene, Stephen R., Chao, Hui Xiao, Gore, Jeff
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:en_US
Published: American Physical Society 2011
Online Access:http://hdl.handle.net/1721.1/65355
https://orcid.org/0000-0003-4583-8555
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author Tan, Longzhi
Serene, Stephen R.
Chao, Hui Xiao
Gore, Jeff
author2 Massachusetts Institute of Technology. Department of Physics
author_facet Massachusetts Institute of Technology. Department of Physics
Tan, Longzhi
Serene, Stephen R.
Chao, Hui Xiao
Gore, Jeff
author_sort Tan, Longzhi
collection MIT
description In biological evolution, adaptations to one environment can in some cases reverse adaptations to another environment. To study this “reverse evolution” on a genotypic level, we measured the fitness of E. coli strains with each possible combination of five mutations in an antibiotic-resistance gene in two distinct antibiotic environments. While adaptations to one environment generally lower fitness in the other, we find that reverse evolution is rarely possible and falls as the complexity of adaptations increases, suggesting a probabilistic, molecular form of Dollo’s law.
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spelling mit-1721.1/653552022-10-03T09:33:02Z Hidden Randomness between Fitness Landscapes Limits Reverse Evolution Tan, Longzhi Serene, Stephen R. Chao, Hui Xiao Gore, Jeff Massachusetts Institute of Technology. Department of Physics Gore, Jeff Tan, Longzhi Serene, Stephen R. Chao, Hui Xiao Gore, Jeff In biological evolution, adaptations to one environment can in some cases reverse adaptations to another environment. To study this “reverse evolution” on a genotypic level, we measured the fitness of E. coli strains with each possible combination of five mutations in an antibiotic-resistance gene in two distinct antibiotic environments. While adaptations to one environment generally lower fitness in the other, we find that reverse evolution is rarely possible and falls as the complexity of adaptations increases, suggesting a probabilistic, molecular form of Dollo’s law. National Institutes of Health (U.S.) (Grant K99/R00) MIT Department of Physics Pappalardo Program Massachusetts Institute of Technology. Undergraduate Research Opportunities Program 2011-08-25T15:43:57Z 2011-08-25T15:43:57Z 2011-05 2010-08 Article http://purl.org/eprint/type/JournalArticle 0031-9007 http://hdl.handle.net/1721.1/65355 Tan, Longzhi et al. “Hidden Randomness Between Fitness Landscapes Limits Reverse Evolution.” Physical Review Letters 106.19 (2011) : n. pag. © 2011 American Physical Society https://orcid.org/0000-0003-4583-8555 en_US http://dx.doi.org/10.1103/PhysRevLett.106.198102 Physical review letters Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Physical Society APS
spellingShingle Tan, Longzhi
Serene, Stephen R.
Chao, Hui Xiao
Gore, Jeff
Hidden Randomness between Fitness Landscapes Limits Reverse Evolution
title Hidden Randomness between Fitness Landscapes Limits Reverse Evolution
title_full Hidden Randomness between Fitness Landscapes Limits Reverse Evolution
title_fullStr Hidden Randomness between Fitness Landscapes Limits Reverse Evolution
title_full_unstemmed Hidden Randomness between Fitness Landscapes Limits Reverse Evolution
title_short Hidden Randomness between Fitness Landscapes Limits Reverse Evolution
title_sort hidden randomness between fitness landscapes limits reverse evolution
url http://hdl.handle.net/1721.1/65355
https://orcid.org/0000-0003-4583-8555
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