DNA barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern Atlantic Forest.

The Atlantic Forest harbors 7% of global biodiversity and possesses high levels of endemism, but many of its component taxa remain unstudied. Due to the importance of tropical forests and the urgency to protect them, there is a compelling need to address this knowledge gap. To provide more informati...

Full description

Bibliographic Details
Main Authors: Belén Bukowski, Sujeevan Ratnasingham, Priscila E Hanisch, Paul D N Hebert, Kate Perez, Jeremy deWaard, Pablo L Tubaro, Darío A Lijtmaer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0267390
_version_ 1811292716179390464
author Belén Bukowski
Sujeevan Ratnasingham
Priscila E Hanisch
Paul D N Hebert
Kate Perez
Jeremy deWaard
Pablo L Tubaro
Darío A Lijtmaer
author_facet Belén Bukowski
Sujeevan Ratnasingham
Priscila E Hanisch
Paul D N Hebert
Kate Perez
Jeremy deWaard
Pablo L Tubaro
Darío A Lijtmaer
author_sort Belén Bukowski
collection DOAJ
description The Atlantic Forest harbors 7% of global biodiversity and possesses high levels of endemism, but many of its component taxa remain unstudied. Due to the importance of tropical forests and the urgency to protect them, there is a compelling need to address this knowledge gap. To provide more information on its arthropod fauna, a Malaise trap was deployed for 12 months in a semi-degraded area of the southern Upper Paraná ecoregion of the Atlantic Forest. All specimens were DNA barcoded and the Barcode Index Number (BIN) system was employed to assign each specimen to a species proxy. DNA barcodes were obtained from 75,500 arthropods that included representatives of 8,651 BINs. Nearly 81% of these BINs were first records, highlighting the high rates of endemism and lack of study of arthropods from the Atlantic Forest. Diptera was the most abundant order, followed by Hemiptera, Lepidoptera and Hymenoptera. Diptera was also the most species-rich order, followed by Hymenoptera, Lepidoptera, and Coleoptera, a result consistent with studies in other biogeographic regions. Insects were most abundant in winter and most diverse in autumn and winter. This pattern, however, was caused mainly by the dynamics of dipteran diversity as other orders differed in their seasonal variation. The BIN composition of the insect community varied sharply through the year and also differed between the two consecutive summers included in the sampling period. The study of the 38 commonest BINs showed that seasonal patterns of abundance were not order-specific. Temperature had the strongest impact on seasonal abundance variation. Our results highlight the striking and understudied arthropod diversity of the highly fragmented Atlantic Forest, the predominance of dipterans, and the fact that abundance and richness in this insect community peak in the coolest months. Standardized studies like this generate fast and reliable biodiversity inventories and unveil ecological patterns, thus providing valuable information for conservation programs.
first_indexed 2024-04-13T04:50:30Z
format Article
id doaj.art-3e66ed274ce040438bca6161e5e013ca
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-04-13T04:50:30Z
publishDate 2022-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-3e66ed274ce040438bca6161e5e013ca2022-12-22T03:01:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01174e026739010.1371/journal.pone.0267390DNA barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern Atlantic Forest.Belén BukowskiSujeevan RatnasinghamPriscila E HanischPaul D N HebertKate PerezJeremy deWaardPablo L TubaroDarío A LijtmaerThe Atlantic Forest harbors 7% of global biodiversity and possesses high levels of endemism, but many of its component taxa remain unstudied. Due to the importance of tropical forests and the urgency to protect them, there is a compelling need to address this knowledge gap. To provide more information on its arthropod fauna, a Malaise trap was deployed for 12 months in a semi-degraded area of the southern Upper Paraná ecoregion of the Atlantic Forest. All specimens were DNA barcoded and the Barcode Index Number (BIN) system was employed to assign each specimen to a species proxy. DNA barcodes were obtained from 75,500 arthropods that included representatives of 8,651 BINs. Nearly 81% of these BINs were first records, highlighting the high rates of endemism and lack of study of arthropods from the Atlantic Forest. Diptera was the most abundant order, followed by Hemiptera, Lepidoptera and Hymenoptera. Diptera was also the most species-rich order, followed by Hymenoptera, Lepidoptera, and Coleoptera, a result consistent with studies in other biogeographic regions. Insects were most abundant in winter and most diverse in autumn and winter. This pattern, however, was caused mainly by the dynamics of dipteran diversity as other orders differed in their seasonal variation. The BIN composition of the insect community varied sharply through the year and also differed between the two consecutive summers included in the sampling period. The study of the 38 commonest BINs showed that seasonal patterns of abundance were not order-specific. Temperature had the strongest impact on seasonal abundance variation. Our results highlight the striking and understudied arthropod diversity of the highly fragmented Atlantic Forest, the predominance of dipterans, and the fact that abundance and richness in this insect community peak in the coolest months. Standardized studies like this generate fast and reliable biodiversity inventories and unveil ecological patterns, thus providing valuable information for conservation programs.https://doi.org/10.1371/journal.pone.0267390
spellingShingle Belén Bukowski
Sujeevan Ratnasingham
Priscila E Hanisch
Paul D N Hebert
Kate Perez
Jeremy deWaard
Pablo L Tubaro
Darío A Lijtmaer
DNA barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern Atlantic Forest.
PLoS ONE
title DNA barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern Atlantic Forest.
title_full DNA barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern Atlantic Forest.
title_fullStr DNA barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern Atlantic Forest.
title_full_unstemmed DNA barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern Atlantic Forest.
title_short DNA barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern Atlantic Forest.
title_sort dna barcodes reveal striking arthropod diversity and unveil seasonal patterns of variation in the southern atlantic forest
url https://doi.org/10.1371/journal.pone.0267390
work_keys_str_mv AT belenbukowski dnabarcodesrevealstrikingarthropoddiversityandunveilseasonalpatternsofvariationinthesouthernatlanticforest
AT sujeevanratnasingham dnabarcodesrevealstrikingarthropoddiversityandunveilseasonalpatternsofvariationinthesouthernatlanticforest
AT priscilaehanisch dnabarcodesrevealstrikingarthropoddiversityandunveilseasonalpatternsofvariationinthesouthernatlanticforest
AT pauldnhebert dnabarcodesrevealstrikingarthropoddiversityandunveilseasonalpatternsofvariationinthesouthernatlanticforest
AT kateperez dnabarcodesrevealstrikingarthropoddiversityandunveilseasonalpatternsofvariationinthesouthernatlanticforest
AT jeremydewaard dnabarcodesrevealstrikingarthropoddiversityandunveilseasonalpatternsofvariationinthesouthernatlanticforest
AT pabloltubaro dnabarcodesrevealstrikingarthropoddiversityandunveilseasonalpatternsofvariationinthesouthernatlanticforest
AT darioalijtmaer dnabarcodesrevealstrikingarthropoddiversityandunveilseasonalpatternsofvariationinthesouthernatlanticforest