Characterization and comparison of poorly known moth communities through DNA barcoding in two Afrotropical environments in Gabon

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F19%3A00497872" target="_blank" >RIV/60077344:_____/19:00497872 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60076658:12310/19:43899253

Výsledek na webu

<a href="https://www.nrcresearchpress.com/doi/pdf/10.1139/gen-2018-0063" target="_blank" >https://www.nrcresearchpress.com/doi/pdf/10.1139/gen-2018-0063</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1139/gen-2018-0063" target="_blank" >10.1139/gen-2018-0063</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Characterization and comparison of poorly known moth communities through DNA barcoding in two Afrotropical environments in Gabon

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Characterization and comparison of poorly known moth communities through DNA barcoding in two Afrotropical environments in Gabon

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Genome

ISSN

0831-2796

e-ISSN

—

Svazek periodika

62

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CA - Kanada

Počet stran výsledku

12

Strana od-do

96-107

Kód UT WoS článku

000465219400003

EID výsledku v databázi Scopus

2-s2.0-85065020285