Illuminating arthropod diversity in a tropical forest: Assessing biodiversity by automatic light trapping and DNA metabarcoding
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F24%3A00585008" target="_blank" >RIV/60077344:_____/24:00585008 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12310/24:43908839
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/edn3.540" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/edn3.540</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/edn3.540" target="_blank" >10.1002/edn3.540</a>
Alternative languages
Result language
angličtina
Original language name
Illuminating arthropod diversity in a tropical forest: Assessing biodiversity by automatic light trapping and DNA metabarcoding
Original language description
Although studies of insect decline have recently dominated headlines worldwide, their interpretation requires caution since for most species, we lack long-term population baselines. In the tropics, where most insect species thrive, our knowledge is even more limited and so reliable insect assessments must originate from well-established long-term monitoring efforts. Combining the extensive monitoring data from the Arthropod Program of the Smithsonian Tropical Research Institute (STRI) on Barro Colorado Island (BCI), Panama, we compare whether known arthropod diversity can be detected through metabarcoding of bulk insect samples obtained through automatic light-trapping. Our study detected 4402 species based on Barcode Index Numbers (BIN) and detected fine-scale differences between wet and dry seasons and sampling localities. We further refined our analysis to indicate which families and genera explained seasonal turnover. Using samples collected in parallel, but sorted manually as part of the ongoing arthropod monitoring program, we compared these methods. Out of 538 BINs recovered through manual sorting, there was a 70% overlap with the metabarcoding data, however, it represented 30% of the total BINs detected through metabarcoding. Expecting higher detection through metabarcoding, we also compare the results with the 14 years of sampling in BCI to better understand how well the monitoring program has captured the diversity of focal groups. Our results revealed a ~50% overlap between both methods and similar total catch. Barcode Index Numbers manually detected but not recovered by metabarcoding highlight some of the limitations of molecular detection methods such as primer bias. Contrastingly, BINs detected with metabarcoding, but not recovered by the traditional monitoring scheme, highlight the importance of local and regional barcode reference libraries.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10613 - Zoology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental DNA
ISSN
2637-4943
e-ISSN
2637-4943
Volume of the periodical
4
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
e540
UT code for WoS article
001307393100025
EID of the result in the Scopus database
2-s2.0-85190161279