@article{fdi:010090679,
  title = {{E}nvironmental {DNA} recovers fish composition turnover of the coral reefs of {W}est {I}ndian {O}cean islands},
  author = {{J}aquier, {M}. and {A}lbouy, {C}. and {B}ach, {W}. and {W}aldock, {C}. and {M}arques, {V}. and {M}aire, {E}va and {J}uhel, {J}. {B}. and {A}ndrello, {M}. and {V}alentini, {A}. and {M}anel, {S}. and {D}ejean, {T}. and {M}ouillot, {D}. and {P}ellissier, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}slands have been used as model systems to study ecological and evolutionary processes, and they provide an ideal set-up for validating new biodiversity monitoring methods. {T}he application of environmental {DNA} metabarcoding for monitoring marine biodiversity requires an understanding of the spatial scale of the e{DNA} signal, which is best tested in island systems. {H}ere, we investigated the variation in {A}ctinopterygii and {E}lasmobranchii species composition recovered from e{DNA} metabarcoding along a gradient of distance-to-reef in four of the five {F}rench {S}cattered {I}slands in the {W}estern {I}ndian {O}cean. {W}e collected surface water samples at an increasing distance from reefs (0 m, 250 m, 500 m, 750 m). {W}e used a metabarcoding protocol based on the 'teleo' primers to target marine reef fishes and classified taxa according to their habitat types (benthic or pelagic). {W}e investigated the effect of distance-to-reef on beta diversity variation using generalised linear mixed models and estimated species-specific distance-to-reef effects using a model-based approach for community data. {E}nvironmental {DNA} metabarcoding analyses recovered distinct fish species compositions across the four inventoried islands and variations along the distance-to-reef gradient. {T}he analysis of beta-diversity variation showed significant taxa turnover between the e{DNA} samples on and away from the reefs. {I}n agreement with a spatially localised signal from e{DNA}, benthic species were distributed closer to the reef than pelagic ones. {O}ur findings demonstrate that the combination of e{DNA} inventories and spatial modelling can provide insights into species habitat preferences related to distance-to-reef gradients at a small scale. {A}s such, e{DNA} can not only recover large compositional differences among islands but also help understand habitat selection and distribution of marine species at a finer spatial scale. {T}his study utilised environmental {DNA} metabarcoding to examine the variation in fish species composition in the {W}estern {I}ndian {O}cean's {F}rench {S}cattered {I}slands across different distances from reefs. {T}he results revealed distinct species composition and significant turnover of taxa between e{DNA} samples near and away from reefs, suggesting a spatially localised e{DNA} signal. {T}he findings highlight the potential of e{DNA} metabarcoding for understanding species habitat preferences and distribution at finer spatial scales.},
  keywords = {biodiversity ; biomonitoring ; coral reef ; diffusion ; environmental {DNA} ; scattered islands ; {OCEAN} {INDIEN} {ILES} ; {EPARSES} {ILES} ; {EUROPA} ; {JUAN} {DE} {NOVA} ; {GLORIEUSE} ; {TROMELIN}},
  booktitle = {},
  journal = {{E}cology and {E}volution},
  volume = {14},
  numero = {5},
  pages = {e11337 [16 ]},
  ISSN = {2045-7758},
  year = {2024},
  DOI = {10.1002/ece3.11337},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090679},
}