@article{fdi:010079432, title = {{A}ccumulation curves of environmental {DNA} sequences predict coastal fish diversity in the coral triangle}, author = {{J}uhel, {J}. {B}. and {U}tama, {R}. {S}. and {M}arques, {V}. and {V}imono, {I}. {B}. and {S}ugeha, {H}. {Y}. and {K}adarusman, and {P}ouyaud, {L}aurent and {D}ejean, {T}. and {M}ouillot, {D}. and {H}ocd{\'e}, {R}{\'e}gis}, editor = {}, language = {{ENG}}, abstract = {{E}nvironmental {DNA} (e{DNA}) has the potential to provide more comprehensive biodiversity assessments, particularly for vertebrates in species-rich regions. {H}owever, this method requires the completeness of a reference database (i.e. a list of {DNA} sequences attached to each species), which is not currently achieved for many taxa and ecosystems. {A}s an alternative, a range of operational taxonomic units ({OTU}s) can be extracted from e{DNA} metabarcoding. {H}owever, the extent to which the diversity of {OTU}s provided by a limited e{DNA} sampling effort can predict regional species diversity is unknown. {H}ere, by modelling {OTU} accumulation curves of e{DNA} seawater samples across the {C}oral {T}riangle, we obtained an asymptote reaching 1531 fish {OTU}s, while 1611 fish species are recorded in the region. {W}e also accurately predict ({R}-2 = 0.92) the distribution of species richness among fish families from {OTU}-based asymptotes. {T}hus, the multi-model framework of {OTU} accumulation curves extends the use of e{DNA} metabarcoding in ecology, biogeography and conservation.}, keywords = {e{DNA} metabarcoding ; sequence clustering ; {O}perational {T}axonomic {U}nit ; diversity assessment ; detectability ; {PAPOUASIE} {NOUVELLE} {GUINEE} ; {INDONESIE} ; {PAPOUASIE} {OCCIDENTALE} ; {DOBERAI} {PENINSULE}}, booktitle = {}, journal = {{P}roceedings of the {R}oyal {S}ociety {B} : {B}iological {S}ciences}, volume = {287}, numero = {1930}, pages = {art. 20200248 [10 ]}, ISSN = {0962-8452}, year = {2020}, DOI = {10.1098/rspb.2020.0248}, URL = {https://www.documentation.ird.fr/hor/fdi:010079432}, }