Characterization and comparison of poorly known moth communities through DNA barcoding in two Afrotropical environments in Gabon 1.
Genome
; 62(3): 96-107, 2019 Mar.
Article
en En
| MEDLINE
| ID: mdl-30278147
Biodiversity research in tropical ecosystems-popularized as the most biodiverse habitats on Earth-often neglects invertebrates, yet invertebrates represent the bulk of local species richness. Insect communities in particular remain strongly impeded by both Linnaean and Wallacean shortfalls, and identifying species often remains a formidable challenge inhibiting the use of these organisms as indicators for ecological and conservation studies. Here we use DNA barcoding as an alternative to the traditional taxonomic approach for characterizing and comparing the diversity of moth communities in two different ecosystems in Gabon. Though sampling remains very incomplete, as evidenced by the high proportion (59%) of species represented by singletons, our results reveal an outstanding diversity. With about 3500 specimens sequenced and representing 1385 BINs (Barcode Index Numbers, used as a proxy to species) in 23 families, the diversity of moths in the two sites sampled is higher than the current number of species listed for the entire country, highlighting the huge gap in biodiversity knowledge for this country. Both seasonal and spatial turnovers are strikingly high (18.3% of BINs shared between seasons, and 13.3% between sites) and draw attention to the need to account for these when running regional surveys. Our results also highlight the richness and singularity of savannah environments and emphasize the status of Central African ecosystems as hotspots of biodiversity.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Clima Tropical
/
ADN
/
Biodiversidad
/
Código de Barras del ADN Taxonómico
/
Mariposas Nocturnas
Límite:
Animals
País/Región como asunto:
Africa
Idioma:
En
Revista:
Genome
Asunto de la revista:
GENETICA
Año:
2019
Tipo del documento:
Article
País de afiliación:
República Checa