{"doi":"10.1101/2020.02.17.953265","title":"Mutation bias can shape adaptation in large asexual populations experiencing clonal interference","abstract":"Abstract The Extended Evolutionary Synthesis invokes a role for development in shaping adaptive evolution, which in population genetics terms corresponds to mutation-biased adaptation. Critics have claimed that clonal interference makes mutation-biased adaptation rare. We consider the behavior of two simultaneously adapting traits, one with larger mutation rate U , the other with larger selection coefficient s , using asexual traveling wave models. We find that adaptation is dominated by whichever trait has the faster rate of adaptation v in isolation, with the other trait subject to evolutionary stalling. Reviewing empirical claims for mutation-biased adaptation, we find that not all occur in the “origin-fixation” regime of population genetics where v is only twice as sensitive to s as to U . In some cases, differences in U are at least ten to twelve times larger than differences in s , as needed to cause mutation-biased adaptation even in the “multiple mutations” regime. Surprisingly, when U > s in the “diffusive-mutation” regime, the required sensitivity ratio is also only two, despite pervasive clonal interference. Given two traits with identical v , the benefit of having higher s is surprisingly small, occurring largely when one trait is at the boundary between the origin-fixation and multiple mutations regimes.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2020,"id":119082,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":28,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9534,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":328804,"name":"Jason Bertram","orcid":"0000-0001-5374-6912","position":1,"is_corresponding":false},{"id":328805,"name":"Joanna Masel","orcid":"0000-0002-7398-2127","position":2,"is_corresponding":false},{"id":328803,"name":"Kevin Gómez","orcid":"0000-0002-6356-0318","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-18T23:14:03.409507Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}