Validating metabarcoding-based biodiversity assessments with multi-species occupancy models: A case study using coastal marine eDNA

Funding acquisition: Mehrdad Hajibabaei. Methodology: Beverly McClenaghan. Supervision: Mehrdad Hajibabaei. Validation: Zacchaeus G. Compson. Writing – original draft: Beverly McClenaghan. Writing – review & editing: Zacchaeus G. Compson, Mehrdad Hajibabaei. References 1. Deiner K, Bik HM, Ma¨ chler E, Seymour M, Lacoursière-Roussel A, Altermatt F, et al. Environmental DNA metabarcoding: Transforming how we survey animal and plant communities. Mol Ecol. 2017; 26: 5872–5895. https://doi.org/10.1111/mec.14350 PMID: 28921802 2. Thomsen PF, Willerslev E. Environmental DNA–An emerging tool in conservation for monitoring past and present biodiversity. Biol Conserv. 2015; 183: 4–18. https://doi.org/10.1016/j.biocon.2014.11.019 3. Bohmann K, Evans A, Gilbert MTP, Carvalho GR, Creer S, Knapp M, et al. Environmental DNA for wild- life biology and biodiversity monitoring. Trends Ecol Evol. 2014; 29: 358–367. https://doi.org/10.1016/j. tree.2014.04.003 PMID: 24821515 4. Jeunen G, Knapp M, Spencer HG, Lamare MD, Taylor HR, Stat M, et al. Environmental DNA (eDNA) metabarcoding reveals strong discrimination among diverse marine habitats connected by water move- ment. Mol Ecol Resour. 2019; 19: 426–438. https://doi.org/10.1111/1755-0998.12982 PMID: 30576077 5. Singer GAC, Fahner NA, Barnes JG, McCarthy A, Hajibabaei M. Comprehensive biodiversity analysis via ultra-deep patterned flow cell technology: a case study of eDNA metabarcoding seawater. Sci Rep. 2019; 9: 5991. https://doi.org/10.1038/s41598-019-42455-9 PMID: 30979963

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