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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American Physical Society
2011
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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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format | Article |
id | mit-1721.1/65355 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T16:58:36Z |
publishDate | 2011 |
publisher | American Physical Society |
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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 |
work_keys_str_mv | AT tanlongzhi hiddenrandomnessbetweenfitnesslandscapeslimitsreverseevolution AT serenestephenr hiddenrandomnessbetweenfitnesslandscapeslimitsreverseevolution AT chaohuixiao hiddenrandomnessbetweenfitnesslandscapeslimitsreverseevolution AT gorejeff hiddenrandomnessbetweenfitnesslandscapeslimitsreverseevolution |