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Erratum in: Nat Commun. 2023 Mar 20;14(1):1539. doi: 10.1038/s41467-023-37302-5. Helicobacter pylori lives in the human stomach and has a population structure resembling that of its host. However, H. pylori fromEurope and the Middle East trace substantially more ancestry from modern African populations than the humans that carry them. Here, we use a collection of Afro-Eurasian H. pylori genomes to show that this African ancestry is due to at least three distinct admixture events. H. pylori from East Asia, which have undergone little admixture, have accumulated many more non-synonymous mutations than African strains. European and Middle Eastern bacteria have elevated African ancestry at the sites of these mutations, implying selection to remove them during admixture. Simulations show that population fitness can be restored after bottlenecks bymigration and subsequent admixture of small numbers of bacteria from non-bottlenecked populations. We conclude that recent spread of African DNA has been driven by deleterious mutations accumulated during the original out-of-Africa bottleneck. This work was supported by Sequencing Grants-in-aid for Scientific Research from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan (221S0002, 18KK0266, 19H03473, 21H00346 and 22H02871) to Y.Y. F.F.V. is financed by FCT through Assistant Researcher grant CEECIND/03023/2017 and a project grant PTDC/BTM-TEC/3238/ 2020. I.K. studentship was funded by the National Strategic Reference Framework Operational Program “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014-2020, project No. MIS5002486) and sequencing of strains was supported by the InfeNeutra Project (NSRF 2007-2013, project no. MIS450598) of the Ministry of Culture and Edu- cation, Greece. K.T. and the sequencing of KI isolates was supported by Erik Philip-Sörensen Foundation grant G2016-08, and Swedish Society for Medical research (SSMF). All primary bioinformatics and parts of the comparative genomics were performed on resources provided by Swedish National Infrastructure for Computing (SNIC) through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under projects snic2018-8-24 and uppstore2017270. Work by S.S. was supported by the German Research Foundation (DFG, project number 158 989 968–SFB 900/A1) and by the Bavarian Ministry of Sci- ence and the Arts in the framework of the Bavarian Research Network “New Strategies Against Multi-Resistant Pathogens by Means of Digital Networking—bayresq.net”. D.F. was supported by Shanghai Municipal Science and Technology Major Project No. 2019SHZDZX02. info:eu-repo/semantics/publishedVersion