TY - JOUR
T1 - What drives parallel evolution?
T2 - How population size and mutational variation contribute to repeated evolution
AU - Bailey, Susan F.
AU - Blanquart, François
AU - Bataillon, Thomas
AU - Kassen, Rees
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Parallel evolution is the repeated evolution of the same phenotype or genotype in evolutionarily independent populations. Here, we use evolve-and-resequence experiments with bacteria and yeast to dissect the drivers of parallel evolution at the gene level. A meta-analysis shows that parallel evolution is often rare, but there is a positive relationship between population size and the probability of parallelism. We present a modeling approach to estimate the contributions of mutational and selective heterogeneity across a genome to parallel evolution. We show that, for two experiments, mutation contributes between ∼10 and 45%, respectively, of the variation associated with selection. Parallel evolution cannot, therefore, be interpreted as a phenomenon driven by selection alone; it must also incorporate information on heterogeneity in mutation rates along the genome. More broadly, the work discussed here helps lay the groundwork for a more sophisticated, empirically grounded theory of parallel evolution.
AB - Parallel evolution is the repeated evolution of the same phenotype or genotype in evolutionarily independent populations. Here, we use evolve-and-resequence experiments with bacteria and yeast to dissect the drivers of parallel evolution at the gene level. A meta-analysis shows that parallel evolution is often rare, but there is a positive relationship between population size and the probability of parallelism. We present a modeling approach to estimate the contributions of mutational and selective heterogeneity across a genome to parallel evolution. We show that, for two experiments, mutation contributes between ∼10 and 45%, respectively, of the variation associated with selection. Parallel evolution cannot, therefore, be interpreted as a phenomenon driven by selection alone; it must also incorporate information on heterogeneity in mutation rates along the genome. More broadly, the work discussed here helps lay the groundwork for a more sophisticated, empirically grounded theory of parallel evolution.
KW - bacteria
KW - evolve and resequence experiment
KW - experimental evolution
KW - mutation
KW - parallel evolution
KW - selection yeast
UR - http://www.scopus.com/inward/record.url?scp=85000472427&partnerID=8YFLogxK
U2 - 10.1002/bies.201600176
DO - 10.1002/bies.201600176
M3 - Journal article
C2 - 27859467
AN - SCOPUS:85000472427
SN - 0265-9247
VL - 39
SP - 1
EP - 9
JO - BioEssays
JF - BioEssays
IS - 1
ER -