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

Authors :
Liliane Boukhdoud
Carole Saliba
Lillian D. Parker
Nancy Rotzel McInerney
Rhea Kahale
Issam Saliba
Jesús E. Maldonado
Magda Bou Dagher Kharrat
Source :
Metabarcoding and Metagenomics, Vol 5, Iss , Pp 219-231 (2021)
Publication Year :
2021
Publisher :
Pensoft Publishers, 2021.

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 the trnL (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.

Subjects

Subjects :
Ecology
QH540-549.5

Details

Language :
English
ISSN :
25349708
Volume :
5
Issue :
219-231
Database :
Directory of Open Access Journals
Journal :
Metabarcoding and Metagenomics
Publication Type :
Academic Journal
Accession number :
edsdoj.498e3108a87047b7851f0156779fd59d
Document Type :
article
Full Text :
https://doi.org/10.3897/mbmg.5.70107