Using DNA metabarcoding to decipher the diet plant component of mammals from the Eastern Mediterranean region

By

Boukhdoud, Liliane
Saliba, Carole
Parker, Lillian D.
Mcinerney, Nancy Rotzel
Kahale, Rhea
Saliba, Issam
Maldonado, Jesús E.
Kharrat, Magda Bou Dagher

Type

Article

Date of Publication

2021-12-20

Original Publication

Metabarcoding and metagenomics

Volume

5

Pages

1--13

Subjects

Conservation , Diet , DNA metabarcoding , Reforestation , seed dispersal , Wildlife

Contributed by

Pensoft Publishers

Language

English

Published by

Bulgaria Pensoft Publishers 2017-

Identifiers

DOI: https://doi.org/10.3897/mbmg.5.70107

 

Abstract

Longevity of species populations depends largely on interactions among animals and plants in an ecosystem. Predation and seed dispersal are among the most important interactions necessary for species conservation and persistence, and diet analysis is a prerequisite tool to evaluate these interactions. Understanding these processes is crucial for identifying conservation targets and for executing efficient reforestation and ecological restoration. In this study, we applied a scat DNA metabarcoding technique using the P6-loop of thetrnL(UAA) chloroplastic marker to describe the seasonal plant diet composition of 15 mammal species from a highly biodiverse Lebanese forest in the Eastern Mediterranean. We also recovered plant seeds, when present, from the scats for identification. The mammal species belong to 10 families from 5 different orders. More than 133 plant species from 54 plant families were detected and identified. Species from the Rosaceae, Poaceae, Apiaceae, Fabaceae, Fagaceae and Berberidaceae families were consumed by the majority of the mammals and should be taken into consideration in future reforestation and conservation projects. Our results showed that the DNA metabarcoding approach provides a promising method for tracking the dietary plant components of a wide diversity of mammals, yielding key insights into plant-animal interactions inside Lebanon’s forests.