@article {5632,
	title = {Metabarcoding by Capture using a Single COI Probe (MCSP) to identify and quantify fish species in plankton swarms},
	journal = {PLoS ONE },
	volume = {13},
	year = {2018},
	pages = {e0202976},
	abstract = {<p class="rtejustify">The ability to determine the composition and relative frequencies of fish species in large ichthyoplankton swarms could have extremely important ecological applications However, this task is currently hampered by methodological limitations. We proposed a new method for Amazonian species based on hybridization capture of the COI gene DNA from a distant species (Danio rerio), absent from our study area (the Amazon basin). The COI sequence of this species is approximately equidistant from all COI of Amazonian species available. By using this sequence as probe we successfully facilitated the simultaneous identification of fish larvae belonging to the order Siluriformes and to the Characiformes represented in our ichthyoplankton samples. Species relative frequencies, estimated by the number of reads, showed almost perfect correlations with true frequencies estimated by a Sanger approach, allowing the development of a quantitative approach. We also proposed a further improvement to a previous protocol, which enables lowering the sequencing effort by 40 times. This new Metabarcoding by Capture using a Single Probe (MCSP) methodology could have important implications for ecology, fisheries management and conservation in fish biodiversity hotspots worldwide. Our approach could easily be extended to other plant and animal taxa.</p>
},
	doi = {https://doi.org/10.1371/journal.pone.0202976},
	url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0202976},
	author = {Mariac, C{\'e}dric and Vigouroux, Y. and Fabrice Duponchelle and Garc{\'\i}a-D{\'a}vila, C and Nu{\~n}ez L. and Desmarais, E and Renno, Jean-Francois}
}
@book {5650,
	title = {Peces de consumo de la Amazon{\'\i}a Peruana},
	year = {2018},
	pages = {218},
	edition = {Instituto de Investigaciones de la Amazon{\'\i}a Peruana (IIAP), Iquitos, Per{\'u}},
	author = {Garc{\'\i}a-D{\'a}vila, C and Sanchez, H. and Flores, M and Mejia, J. and Angulo, C. and Castro-Ruiz, D. and Estivals, G. and Garcia, Aurea and Vargas, G. and Nolorbe, C. and Jesus Nu{\~n}ez-Rodriguez and Mariac, C{\'e}dric and Fabrice Duponchelle and Renno, Jean-Francois}
}
@article {4796,
	title = {DNA Metabarcoding of Amazonian Ichthyoplankton Swarms},
	journal = {PLoSOne},
	volume = {Jan 17;12},
	year = {2017},
	month = {01/2017},
	pages = {:e0170009},
	abstract = {<p>Tropical rainforests harbor extraordinary biodiversity. The Amazon basin is thought to hold 30\% of all river fish species in the world. Information about the ecology, reproduction, and recruitment of most species is still lacking, thus hampering fisheries management and successful conservation strategies. One of the key understudied issues in the study of population dynamics is recruitment. Fish larval ecology in tropical biomes is still in its infancy owing to identification difficulties. Molecular techniques are very promising tools for the identification of larvae at the species level. However, one of their limits is obtaining individual sequences with large samples of larvae. To facilitate this task, we developed a new method based on the massive parallel sequencing capability of next generation sequencing (NGS) coupled with hybridization capture. We focused on the mitochondrial marker cytochrome oxidase I (COI). The results obtained using the new method were compared with individual larval sequencing. We validated the ability of the method to identify Amazonian catfish larvae at the species level and to estimate the relative abundance of species in batches of larvae. Finally, we applied the method and provided evidence for strong temporal variation in reproductive activity of catfish species in the Ucayal{\'\i} River in the Peruvian Amazon. This 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.</p>
},
	author = {Maggia, M. E. and Vigouroux, Y. and Renno, Jean-Francois and Fabrice Duponchelle and Desmarais, E and Jesus Nu{\~n}ez-Rodriguez and Garc{\'\i}a-D{\'a}vila, C and Carvajal-Vallejos, F M and Paradis, Emmanuel and Martin, Jean-Fran{\c c}ois and Mariac, C{\'e}dric}
}
