Literature DB >> 32559020

DNA metabarcoding for biodiversity monitoring in a national park: Screening for invasive and pest species.

Laura A Hardulak1,2, Jérôme Morinière1, Axel Hausmann1, Lars Hendrich1, Stefan Schmidt1, Dieter Doczkal1, Jörg Müller3,4, Paul D N Hebert5, Gerhard Haszprunar1.   

Abstract

DNA metabarcoding was utilized for a large-scale, multiyear assessment of biodiversity in Malaise trap collections from the Bavarian Forest National Park (Germany, Bavaria). Principal component analysis of read count-based biodiversities revealed clustering in concordance with whether collection sites were located inside or outside of the National Park. Jaccard distance matrices of the presences of barcode index numbers (BINs) at collection sites in the two survey years (2016 and 2018) were significantly correlated. Overall similar patterns in the presence of total arthropod BINs, as well as BINs belonging to four major arthropod orders across the study area, were observed in both survey years, and are also comparable with results of a previous study based on DNA barcoding of Sanger-sequenced specimens. A custom reference sequence library was assembled from publicly available data to screen for pest or invasive arthropods among the specimens or from the preservative ethanol. A single 98.6% match to the invasive bark beetle Ips duplicatus was detected in an ethanol sample. This species has not previously been detected in the National Park.
© 2020 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.

Entities:  

Keywords:  DNA barcoding; biodiversity; invasive species; metabarcoding; monitoring; pest species

Mesh:

Year:  2020        PMID: 32559020     DOI: 10.1111/1755-0998.13212

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  6 in total

1.  Pooling size sorted Malaise trap fractions to maximize taxon recovery with metabarcoding.

Authors:  Vasco Elbrecht; Sarah J Bourlat; Thomas Hörren; Angie Lindner; Adriana Mordente; Niklas W Noll; Livia Schäffler; Martin Sorg; Vera M A Zizka
Journal:  PeerJ       Date:  2021-10-05       Impact factor: 2.984

2.  A novel approach for reliable qualitative and quantitative prey spectra identification of carnivorous plants combining DNA metabarcoding and macro photography.

Authors:  Thilo Krueger; Adam T Cross; Jeremy Hübner; Jérôme Morinière; Axel Hausmann; Andreas Fleischmann
Journal:  Sci Rep       Date:  2022-03-21       Impact factor: 4.379

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

Authors:  Belén Bukowski; Sujeevan Ratnasingham; Priscila E Hanisch; Paul D N Hebert; Kate Perez; Jeremy deWaard; Pablo L Tubaro; Darío A Lijtmaer
Journal:  PLoS One       Date:  2022-04-28       Impact factor: 3.752

4.  Curation of a reference database of COI sequences for insect identification through DNA metabarcoding: COins.

Authors:  Giulia Magoga; Giobbe Forni; Matteo Brunetti; Aycan Meral; Alberto Spada; Alessio De Biase; Matteo Montagna
Journal:  Database (Oxford)       Date:  2022-07-06       Impact factor: 4.462

5.  Reliability and Utility of Standard Gene Sequence Barcodes for the Identification and Differentiation of Cyst Nematodes of the Genus Heterodera.

Authors:  Daniel C Huston; Manda Khudhir; Mike Hodda
Journal:  J Nematol       Date:  2022-07-29       Impact factor: 1.481

6.  Surprisingly high genetic divergence of the mitochondrial DNA barcode fragment (COI) within Central European woodlice species (Crustacea, Isopoda, Oniscidea).

Authors:  Michael J Raupach; Björn Rulik; Jörg Spelda
Journal:  Zookeys       Date:  2022-01-20       Impact factor: 1.546

  6 in total

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