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Replication of SARS-CoV-2 in the human population is defined by distributions of mutants that are present at different frequencies within the infected host and can be detected by ultra-deep sequencing techniques. In this study, we examined the SARS-CoV-2 mutant spectra of amplicons from the spike-coding (S-coding) region of 5 nasopharyngeal isolates derived from patients with vaccine breakthrough. Interestingly, all patients became infected with the Alpha variant, but amino acid substitutions that correspond to the Delta Plus, Iota, and Omicron variants were present in the mutant spectra of the resident virus. Deep sequencing analysis of SARS-CoV-2 from patients with vaccine breakthrough revealed a rich reservoir of mutant types and may also identify tolerated substitutions that can be represented in epidemiologically dominant variants., This work was supported by the Instituto de Salud Carlos III, Spanish Ministry of Science and Innovation (COVID-19 Research Call COV20/00181) and co-financed by the European Development Regional Fund “A way to achieve Europe.” The work was also supported by grants CSIC-COV19-014 from the CSIC, project 525/C/2021 from the Fundació La Marató de TV3; PID2020-113888RB-I00 from the Ministerio de Ciencia e Innovación; BFU2017-91384-EXP from the Ministerio de Ciencia, Innovación y Universidades (MCIU);PI18/00210 and PI21/00139 from the Instituto de Salud Carlos III; and S2018/BAA-4370 (PLATESA2) from the Comunidad de Madrid/ FEDER. This research work was also funded by the European Commission – NextGenerationEU (regulation EU 2020/2094), through the CSIC’s Global Health Platform (PTI Salud Global). CP and PM are supported by the Miguel Servet programme of the Instituto de Salud Carlos III (CPII19/00001 and CP16/00116, respectively), cofinanced by the European Regional Development Fund (ERDF). CIBERehd is funded by the Instituto de Salud Carlos III. Institutional grants from the Fundación Ramón Areces and Banco Santander to the CBMSO are also acknowledged. The team at CBMSO belongs to the Global Virus Network (GVN). BMG is supported by predoctoral contract PFIS FI19/00119 from the Instituto de Salud Carlos III (Ministerio de Sanidad y Consumo), cofinanced by the Fondo Social Europeo (FSE). CGC is supported by predoctoral contract PRE2018- 083422 from the MCIU. BS was supported by a predoctoral research fellowship (Doctorados Industriales, DI-17-09134) from the Spanish Ministry of Economy and Competitiveness (MINECO).