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上位性热点构建抗体适应性景观并增强进化能力。

Epistatic hotspots organize antibody fitness landscape and boost evolvability.

作者信息

Schulz Steven, Tan Timothy J C, Wu Nicholas C, Wang Shenshen

机构信息

Department of Physics and Astronomy, University of California, Los Angeles, CA 90095.

Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.

出版信息

Proc Natl Acad Sci U S A. 2025 Jan 14;122(2):e2413884122. doi: 10.1073/pnas.2413884122. Epub 2025 Jan 8.

DOI:10.1073/pnas.2413884122
PMID:39773024
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11745389/
Abstract

The course of evolution is strongly shaped by interaction between mutations. Such epistasis can yield rugged sequence-function maps and constrain the availability of adaptive paths. While theoretical intuition is often built on global statistics of large, homogeneous model landscapes, mutagenesis measurements necessarily probe a limited neighborhood of a reference genotype. It is unclear to what extent local topography of a real epistatic landscape represents its global shape. Here, we demonstrate that epistatic landscapes can be heterogeneously rugged and this heterogeneity may render biomolecules more evolvable. By characterizing a multipeaked fitness landscape of a SARS-CoV-2 antibody mutant library, we show that heterogeneous ruggedness arises from sparse epistatic hotspots, whose mutation impacts the fitness effect of numerous sequence sites. Surprisingly, mutating an epistatic hotspot may enhance, rather than reduce, the accessibility of the fittest genotype, while increasing the overall ruggedness. Further, migratory constraints in real space alleviate mutational constraints in sequence space, which not only diversify direct paths taken but may also turn a road-blocking fitness peak into a stepping stone leading toward the global optimum. Our results suggest that a hierarchy of epistatic hotspots may organize the fitness landscape in such a way that path-orienting ruggedness confers global smoothness.

摘要

进化过程受到突变之间相互作用的强烈影响。这种上位性可以产生崎岖的序列-功能图谱,并限制适应性路径的可用性。虽然理论直觉通常基于大型、均匀模型景观的全局统计,但诱变测量必然只能探测参考基因型的有限邻域。尚不清楚真实上位性景观的局部地形在多大程度上代表其全局形状。在这里,我们证明上位性景观可能是异质崎岖的,这种异质性可能使生物分子更具进化能力。通过表征SARS-CoV-2抗体突变文库的多峰适应度景观,我们表明异质崎岖性源于稀疏的上位性热点,其突变影响众多序列位点的适应度效应。令人惊讶的是,突变一个上位性热点可能会增强而不是降低最适应基因型的可达性,同时增加整体崎岖性。此外,真实空间中的迁移限制减轻了序列空间中的突变限制,这不仅使所采取的直接路径多样化,还可能将一个阻碍适应度的峰值转变为通向全局最优的垫脚石。我们的结果表明,上位性热点的层次结构可能以一种使引导路径的崎岖性赋予全局平滑性的方式来组织适应度景观。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/2a7a470f0c5e/pnas.2413884122fig07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/093f51327b7f/pnas.2413884122fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/d3fbb8d78d49/pnas.2413884122fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/e6b5d97de462/pnas.2413884122fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/12f2c1e59aec/pnas.2413884122fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/6911e6bf7fbd/pnas.2413884122fig05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/61ff4e3feb57/pnas.2413884122fig06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/2a7a470f0c5e/pnas.2413884122fig07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/093f51327b7f/pnas.2413884122fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/d3fbb8d78d49/pnas.2413884122fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/e6b5d97de462/pnas.2413884122fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/12f2c1e59aec/pnas.2413884122fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/6911e6bf7fbd/pnas.2413884122fig05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/61ff4e3feb57/pnas.2413884122fig06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b2/11745389/2a7a470f0c5e/pnas.2413884122fig07.jpg

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