eprintid: 10089778 rev_number: 22 eprint_status: archive userid: 608 dir: disk0/10/08/97/78 datestamp: 2020-01-17 16:31:11 lastmod: 2021-09-27 22:22:08 status_changed: 2020-01-17 16:31:11 type: article metadata_visibility: show creators_name: Jiao, X creators_name: Thomas, F creators_name: Rannala, B creators_name: Yang, Z title: The Impact of Cross-Species Gene Flow on Species Tree Estimation ispublished: pub divisions: UCL divisions: B02 divisions: C08 divisions: D09 divisions: F99 note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: Recent analyses of genomic sequence data suggest cross-species gene flow is common in both plants and animals, posing challenges to species tree estimation. We examine the levels of gene flow needed to mislead species tree estimation with three species and either episodic introgressive hybridization or continuous migration between an outgroup and one ingroup species. Several species tree estimation methods are examined, including the majority-vote method based on the most common gene tree topology (with either the true or reconstructed gene trees used), the UPGMA method based on the average sequence distances (or average coalescent times) between species, and the full-likelihood method based on multilocus sequence data. Our results suggest that the majority-vote method based on gene tree topologies is more robust to gene flow than the UPGMA method based on coalescent times and both are more robust than likelihood assuming a multispecies coalescent (MSC) model with no cross-species gene flow. Comparison of the continuous migration model with the episodic introgression model suggests that a small amount of gene flow per generation can cause drastic changes to the genetic history of the species and mislead species tree methods, especially if the species diverged through radiative speciation events. Estimates of parameters under the MSC with gene flow suggest that African mosquito species in the Anopheles gambiae species complex constitute such an example of extreme impact of gene flow on species phylogeny. [IM; introgression; migration; MSci; multispecies coalescent; species tree.] date: 2020-09 date_type: published official_url: https://doi.org/10.1093/sysbio/syaa001 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1742001 doi: 10.1093/sysbio/syaa001 lyricists_name: Flouris, Thomas lyricists_name: Yang, Ziheng lyricists_id: TFLOU21 lyricists_id: ZYANG48 actors_name: Yang, Ziheng actors_id: ZYANG48 actors_role: owner full_text_status: public publication: Systematic Biology volume: 69 number: 5 pagerange: 830-847 citation: Jiao, X; Thomas, F; Rannala, B; Yang, Z; (2020) The Impact of Cross-Species Gene Flow on Species Tree Estimation. Systematic Biology , 69 (5) pp. 830-847. 10.1093/sysbio/syaa001 <https://doi.org/10.1093/sysbio%2Fsyaa001>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10089778/1/2020JiaoIMMSci.pdf