Adaptation in protein fitness landscapes is facilitated by indirect paths

Адаптация на ландшафтах приспособленности белков облегчается косвенными путями
Nicholas C. Wu, Lei Dai, C. Anders Olson, James O. Lloyd‐Smith, Ren Sun
2016-07-08

GB1 proteinadaptive protein evolutionindirect evolutionary pathsprotein fitness landscapesreciprocal sign epistasis
The structure of fitness landscapes is critical for understanding adaptive protein evolution. Previous empirical studies on fitness landscapes were confined to either the neighborhood around the wild type sequence, involving mostly single and double mutants, or a combinatorially complete subgraph involving only two amino acids at each site. In reality, the dimensionality of protein sequence space is higher (20(L)) and there may be higher-order interactions among more than two sites. Here we experimentally characterized the fitness landscape of four sites in protein GB1, containing 20(4) = 160,000 variants. We found that while reciprocal sign epistasis blocked many direct paths of adaptation, such evolutionary traps could be circumvented by indirect paths through genotype space involving gain and subsequent loss of mutations. These indirect paths alleviate the constraint on adaptive protein evolution, suggesting that the heretofore neglected dimensions of sequence space may change our views on how proteins evolve.
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Higher-dimensional sequence space can alleviate constraints on adaptive protein evolution and alter interpretations of how proteins evolve.
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Indirect evolutionary paths involving the acquisition and subsequent loss of mutations circumvented these fitness traps.
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Reciprocal sign epistasis blocked many direct adaptive paths between genotypes in the GB1 landscape.
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The study experimentally characterized the complete four-site GB1 protein fitness landscape, comprising 160,000 sequence variants.

the four-site protein GB1 fitness landscape comprising all 20^4 (160,000) sequence variants

the effects of higher-order epistasis and indirect mutational paths on adaptive protein evolution

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2016-07-08
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Nicholas C. Wu
Lei Dai
C. Anders Olson
James O. Lloyd‐Smith
Ren Sun
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