Understanding evolutionary rescue and parallelism in response to environmental stress

被引:2
作者
Freitas, Osmar [1 ]
Campos, Paulo R. A. [1 ]
机构
[1] Univ Fed Pernambuco, Ctr Ciencias Exatas & Nat, Dept Fis, Recife, PE, Brazil
关键词
evolutionary rescue; parallel evolution; density-regulated; extinction; FISHERS GEOMETRICAL MODEL; GENETIC EVOLUTION; ADAPTATION; SELECTION; PROBABILITY; PREDICTABILITY; CONSERVATION; POPULATIONS; EXTINCTION; RESISTANCE;
D O I
10.1093/evolut/qpae074
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Evolutionary rescue, the process by which populations facing environmental stress avoid extinction through genetic adaptation, is a critical area of study in evolutionary biology. The order in which mutations arise and get established will be relevant to the population's rescue. This study investigates the degree of parallel evolution at the genotypic level between independent populations facing environmental stress and subject to different demographic regimes. Under density regulation, 2 regimes exist: In the first, the population can restore positive growth rates by adjusting its population size or through adaptive mutations, whereas in the second regime, the population is doomed to extinction unless a rescue mutation occurs. Analytical approximations for the likelihood of evolutionary rescue are obtained and contrasted with simulation results. We show that the initial level of maladaptation and the demographic regime significantly affect the level of parallelism. There is an evident transition between these 2 regimes. Whereas in the first regime, parallelism decreases with the level of maladaptation, it displays the opposite behavior in the rescue/extinction regime. These findings have important implications for understanding population persistence and the degree of parallelism in evolutionary responses as they integrate demographic effects and evolutionary processes.
引用
收藏
页码:1453 / 1463
页数:11
相关论文
共 130 条
[61]   Gowinda: unbiased analysis of gene set enrichment for genome-wide association studies [J].
Kofler, Robert ;
Schloetterer, Christian .
BIOINFORMATICS, 2012, 28 (15) :2084-2085
[62]   PoPoolation2: identifying differentiation between populations using sequencing of pooled DNA samples (Pool-Seq) [J].
Kofler, Robert ;
Pandey, Ram Vinay ;
Schloetterer, Christian .
BIOINFORMATICS, 2011, 27 (24) :3435-3436
[63]  
Kristensen K., 2023, The AR(1) covariance structure
[64]   The extended evolutionary synthesis: its structure, assumptions and predictions [J].
Laland, Kevin N. ;
Uller, Tobias ;
Fellman, Marcus W. ;
Sterelny, Kim ;
Mueller, Gerd B. ;
Moczek, Armin ;
Jablonka, Eva ;
Odling-Smee, John .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2015, 282 (1813)
[65]   SEXUAL DIMORPHISM, SEXUAL SELECTION, AND ADAPTATION IN POLYGENIC CHARACTERS [J].
LANDE, R .
EVOLUTION, 1980, 34 (02) :292-305
[66]   Antibiotic resistance in the environment [J].
Larsson, D. G. Joakim ;
Flach, Carl-Fredrik .
NATURE REVIEWS MICROBIOLOGY, 2022, 20 (05) :257-269
[67]   Convergence and Divergence in a Long-Term Experiment with Bacteria [J].
Lenski, Richard E. .
AMERICAN NATURALIST, 2017, 190 :S57-S68
[68]  
Lenth R., 2018, Estimated Marginal Means
[69]  
Li H., 2013, Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM, DOI [DOI 10.48550/ARXIV.1303.3997, 10.6084/m9.figshare.963153.v1]
[70]  
Li H, 2009, BIOINFORMATICS, V25, P1754, DOI [10.1093/bioinformatics/btp324, 10.1093/bioinformatics/btp698, 10.1093/bioinformatics/btp352]