Synonymous genes explore different evolutionary landscapes.
Synonymous genes explore different evolutionary landscapes.
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DOI:
10.1371/journal.pgen.1000256
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发表时间:
2008-11
期刊:
影响因子:
4.5
通讯作者:
Mazel, Didier
中科院分区:
文献类型:
--
作者:
Cambray, Guillaume;Mazel, Didier
The evolutionary potential of a gene is constrained not only by the amino acid sequence of its product, but by its DNA sequence as well. The topology of the genetic code is such that half of the amino acids exhibit synonymous codons that can reach different subsets of amino acids from each other through single mutation. Thus, synonymous DNA sequences should access different regions of the protein sequence space through a limited number of mutations, and this may deeply influence the evolution of natural proteins. Here, we demonstrate that this feature can be of value for manipulating protein evolvability. We designed an algorithm that, starting from an input gene, constructs a synonymous sequence that systematically includes the codons with the most different evolutionary perspectives; i.e., codons that maximize accessibility to amino acids previously unreachable from the template by point mutation. A synonymous version of a bacterial antibiotic resistance gene was computed and synthesized. When concurrently submitted to identical directed evolution protocols, both the wild type and the recoded sequence led to the isolation of specific, advantageous phenotypic variants. Simulations based on a mutation isolated only from the synthetic gene libraries were conducted to assess the impact of sub-functional selective constraints, such as codon usage, on natural adaptation. Our data demonstrate that rational design of synonymous synthetic genes stands as an affordable improvement to any directed evolution protocol. We show that using two synonymous DNA sequences improves the overall yield of the procedure by increasing the diversity of mutants generated. These results provide conclusive evidence that synonymous coding sequences do experience different areas of the corresponding protein adaptive landscape, and that a sequence's codon usage effectively constrains the evolution of the encoded protein. Evolutionary processes largely rely on the production of diversity. Genetic robustness, by allowing the accumulation of neutral diversity within a population, has been associated with increase in evolutionary potential (evolvability). In this work, we propose to use a well-known source of robustness, the redundancy of the genetic code, to alter the evolvability of any protein. The topology of the code allows synonymous codons to sample different mutational neighborhoods. Using this property, we developed an algorithm to design synonymous sequences with maximally divergent evolutionary potentials relative to the input sequences. At the population level, each of these sequences expands the scope of the evolutionary landscape that can be explored by the encoded protein, and ultimately increase the odds of uncovering adaptive mutants. We applied this principle to evolve new antibiotic resistance phenotype variants. Fundamentally, our results provide an example of how neutral diversity may favor evolvability. Moreover, in light of the rapid development in nucleic acid synthesis, the use of rationally designed synonymous genes offers a profitable enhancement to any directed evolution procedure.
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影响因子:
4.5
作者:
Hoede C;Denamur E;Tenaillon O
通讯作者:
Tenaillon O
影响因子:
7.7
作者:
Maurice, Frederique;Broutin, Isabelle;Dardel, Frederic
通讯作者:
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作者:
Lawrence, JG;Ochman, H
通讯作者:
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DOI:
10.1016/s0006-291x(02)00226-7
发表时间:
2002-04-26
影响因子:
3.1
作者:
Cortazzo, P;Cerve単ansky, C;Deana, A
通讯作者:
Deana, A
影响因子:
2.1
作者:
Archetti, M
通讯作者:
Archetti, M