DNA metabarcoding to quantify the response of insect diversity to mountain forest die-offs in the French Pyrenees
Lucas Sire  1, *@  , Rodolphe Rougerie  2@  , Annie Bézier  3@  , Béatrice Courtial, Christophe Bouget  4@  , Elisabeth Herniou  5@  , Carlos Lopez-Vaamonde  6, 7, *@  
1 : IRBI
CNRS : UMR7261
2 : Muséum national d'histoire naturelle  (MNHN)  -  Website
Ministère de l'Ecologie, du Développement Durable et de l'Energie, Ministère de l'Enseignement Supérieur et de la Recherche, Muséum National d'Histoire Naturelle (MNHN)
57, rue Cuvier - 75231 Paris Cedex 05 -  France
3 : Institut de recherche sur la biologie de l'insecte  (IRBI)  -  Website
CNRS : UMR7261, Université François Rabelais - Tours
Av Monge 37200 TOURS -  France
4 : Ecosystèmes forestiers  (UR EFNO)  -  Website
Irstea
Domaine des Barres, F-45290 Nogent-sur-Vernisson -  France
5 : Institut de Recherche sur la Biologie de l'Insecte  (IRBI)
CNRS : UMR7261, Université François Rabelais - Tours
Av Monge 37200 Tours -  France
6 : Zoologie Forestière  (URZF)
Institut national de la recherche agronomique (INRA) : UR633
Orléans, France -  France
7 : Institut de recherche sur la biologie de línsecte  (IRBI)  -  Website
Université de Tours, Centre National de la Recherche Scientifique : UMR7261
Av Monge 37200 TOURS -  France
* : Corresponding author

Mountain forests suffer from an increase in frequency and severity of summer droughts and infestations of pathogens and insects. Those factors are causing high mortality of some keystone tree species (forest die-offs). Yet, how tree diebacks and associated changes in forest composition will affect local diversity and ecosystem functions remains unknown.

Here, we aim at quantifying the impact of climate-induced forest decline on biodiversity by measuring changes in taxonomic structure of invertebrate communities along gradients of silver fir (Abies alba) dieback in the French Pyrenees.

We use DNA metabarcoding to analyse 224 samples of Malaise traps placed on 56 silver fir dominated plots in the French Pyrenees from May to September 2017. Samples were sequenced using Illumina MiSeq and analysed using the DAMe twin-tagging pipeline approach. We conducted taxonomic assignment against reference DNA barcode libraries to streamline identification and recover biological information for ecological analysis.

We discuss the results of our metabarcoding analysis and the utility of our approach to conduct biomonitoring across a large geographical scale.



  • Poster
Online user: 1