@article{fdi:010068917,
  title = {{DNA} metabarcoding of {A}mazonian ichthyoplankton swarms},
  author = {{M}aggia, {M}. {E}. and {V}igouroux, {Y}ves and {R}enno, {J}ean-{F}ran{\c{c}}ois and {D}uponchelle, {F}abrice and {D}esmarais, {E}. and {N}unez {R}odriguez, {J}esus and {G}arcia-{D}avila, {C}. and {C}arvajal-{V}allejos, {F}. {M}. and {P}aradis, {E}mmanuel and {M}artin, {J}. {F}. and {M}ariac, {C}{\'e}dric},
  editor = {},
  language = {{ENG}},
  abstract = {{T}ropical rainforests harbor extraordinary biodiversity. {T}he {A}mazon basin is thought to hold 30% of all river fish species in the world. {I}nformation about the ecology, reproduction, and recruitment of most species is still lacking, thus hampering fisheries management and successful conservation strategies. {O}ne of the key understudied issues in the study of population dynamics is recruitment. {F}ish larval ecology in tropical biomes is still in its infancy owing to identification difficulties. {M}olecular techniques are very promising tools for the identification of larvae at the species level. {H}owever, one of their limits is obtaining individual sequences with large samples of larvae. {T}o facilitate this task, we developed a new method based on the massive parallel sequencing capability of next generation sequencing ({NGS}) coupled with hybridization capture. {W}e focused on the mitochondrial marker cytochrome oxidase {I} ({COI}). {T}he results obtained using the new method were compared with individual larval sequencing. {W}e validated the ability of the method to identify {A}mazonian catfish larvae at the species level and to estimate the relative abundance of species in batches of larvae. {F}inally, we applied the method and provided evidence for strong temporal variation in reproductive activity of catfish species in the {U}cayali {R}iver in the {P}eruvian {A}mazon. {T}his new time and cost effective method enables the acquisition of large datasets, paving the way for a finer understanding of reproductive dynamics and recruitment patterns of tropical fish species, with major implications for fisheries management and conservation.},
  keywords = {{PEROU} ; {AMAZONIE}},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {12},
  numero = {1},
  pages = {e0170009 [14 p.]},
  ISSN = {1932-6203},
  year = {2017},
  DOI = {10.1371/journal.pone.0170009},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068917},
}