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Comparison of traditional and DNA metabarcoding samples for monitoring tropical soil arthropods (Formicidae, Collembola and Isoptera)

Authors :
Yves Basset
Mehrdad Hajibabaei
Michael T. G. Wright
Anakena M. Castillo
David A. Donoso
Simon T. Segar
Daniel Souto-Vilarós
Dina Y. Soliman
Tomas Roslin
M. Alex Smith
Greg P. A. Lamarre
Luis F. De León
Thibaud Decaëns
José G. Palacios-Vargas
Gabriela Castaño-Meneses
Rudolf H. Scheffrahn
Marleny Rivera
Filonila Perez
Ricardo Bobadilla
Yacksecari Lopez
José Alejandro Ramirez Silva
Maira Montejo Cruz
Angela Arango Galván
Héctor Barrios
Source :
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract The soil fauna of the tropics remains one of the least known components of the biosphere. Long-term monitoring of this fauna is hampered by the lack of taxonomic expertise and funding. These obstacles may potentially be lifted with DNA metabarcoding. To validate this approach, we studied the ants, springtails and termites of 100 paired soil samples from Barro Colorado Island, Panama. The fauna was extracted with Berlese-Tullgren funnels and then either sorted with traditional taxonomy and known, individual DNA barcodes (“traditional samples”) or processed with metabarcoding (“metabarcoding samples”). We detected 49 ant, 37 springtail and 34 termite species with 3.46 million reads of the COI gene, at a mean sequence length of 233 bp. Traditional identification yielded 80, 111 and 15 species of ants, springtails and termites, respectively; 98%, 37% and 100% of these species had a Barcode Index Number (BIN) allowing for direct comparison with metabarcoding. Ants were best surveyed through traditional methods, termites were better detected by metabarcoding, and springtails were equally well detected by both techniques. Species richness was underestimated, and faunal composition was different in metabarcoding samples, mostly because 37% of ant species were not detected. The prevalence of species in metabarcoding samples increased with their abundance in traditional samples, and seasonal shifts in species prevalence and faunal composition were similar between traditional and metabarcoding samples. Probable false positive and negative species records were reasonably low (13–18% of common species). We conclude that metabarcoding of samples extracted with Berlese-Tullgren funnels appear suitable for the long-term monitoring of termites and springtails in tropical rainforests. For ants, metabarcoding schemes should be complemented by additional samples of alates from Malaise or light traps.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.96558e2a86394ea8a98f7886d1055866
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-022-14915-2