| [1] | Jiao, J.Y., Liu, L., Hua, Z.S., et al. (2021). Microbial dark matter coming to light: Challenges and opportunities. Natl. Sci. Rev. 8: nwaa280. DOI: 10.1093/nsr/nwaa280. |
| [2] | Hedlund, B.P., Chuvochina, M., Hugenholtz, P., et al. (2022). SeqCode: A nomenclatural code for prokaryotes described from sequence data. Nat. Microbiol. 7: 1702−1708. DOI: 10.1038/s41564-022-01214-9. |
| [3] | Lewis, W.H., Tahon, G., Geesink, P., et al. (2021) Innovations to culturing the uncultured microbial majority. Nat. Rev. Microbiol. 19: 225–240. |
| [4] | Lücking, R., Aime, M.C., Robbertse, B., et al. (2021). Fungal taxonomy and sequence-based nomenclature. Nat. Microbiol. 6: 540−548. DOI: 10.1038/s41564-021-00888-x. |
| [5] | Khan, F.K., Kluting, K., Tångrot, J., et al. (2020). Naming the untouchable – environmental sequences and niche partitioning as taxonomical evidence in fungi. IMA Fungus 11: 23. DOI: 10.1186/s43008-020-00045-9. |
| Zhou L.W. (2023). Microbial taxonomy with DNA sequence data as nomenclatural type: How far should we go? The Innovation Life 1(2), 100017. https://doi.org/10.59717/j.xinn-life.2023.100017 |
To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.
The concerns about SeqCode using whole-genome sequence data as the nomenclatural type for prokaryotes.