Front. Environ. Sci.Frontiers in Environmental ScienceFront. Environ. Sci.2296-665XFrontiers Media S.A.10.3389/fenvs.2017.00038Environmental ScienceCorrectionCorrigendum: Validation and Development of COI Metabarcoding Primers for Freshwater Macroinvertebrate BioassessmentElbrechtVasco1*LeeseFlorian121Aquatic Ecosystem Research, Faculty of Biology, University of Duisburg-EssenEssen, Germany2Centre for Water and Environmental Research, University of Duisburg-EssenEssen, Germany
Edited and reviewed by: Michael M. Douglas, University of Western Australia, Australia
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A corrigendum on Validation and Development of COI Metabarcoding Primers for Freshwater Macroinvertebrate Bioassessment by Elbrecht, V., and Leese, F. (2017). Front. Environ. Sci. 5:11. doi: 10.3389/fenvs.2017.00011DNA barcodingprimer developmentprimer evaluationprimer biasecosystem assessmentin silico PCRinvertebrates
In the original article, the reference for Bista et al. (2017) was incorrectly written as “Carvalho, G. R., Walsh, K., Seymour, M., Hajibabaei, M., Lallias, D., Christmas, M., et al. (2017). Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity. Nat. Commun. 8, 1–11. doi: 10.1038/ncomms14087.” It should be “Bista, I., Carvalho, G. R., Walsh, K., Seymour, M., Hajibabaei, M., Lallias, D., et al. (2017). Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity. Nat. Commun. 8, 1–11. doi: 10.1038/ncomms14087.”
In the original article, there was a mistake in Table 2 as published. “Ephemeroptera” and taxa abundance (8) are missing in the table. The corrected Table appears below. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.
Number of species recovered with the newly developed primers and data on 16S and Folmer primers from previous tests (Elbrecht and Leese, 2015; Elbrecht et al., 2016).
Taxonomic group
Number of specimens
Number of specimens recovered with specific primer combination
LCO1490+HCO2198
16S ins
BF2+BR2
BF2+BR1
BF1+BR2
BF1+BR1
Ephemeroptera
8
7 (88%)
8 (100%)
8 (100%)
8 (100%)
8 (100%)
8 (100%)
Plecoptera
4
4 (100%)
4 (100%)
4 (100%)
4 (100%)
4 (100%)
4 (100%)
Trichoptera
15
13 (86%)
15 (100%)
15 (100%)
15 (100%)
15 (100%)
15 (100%)
Diptera
8
7 (88%)
7 (88%)
8 (100%)
8 (100%)
8 (100%)
8 (100%)
Other insects
7
7 (100%)
7 (100%)
7 (100%)
7 (100%)
7 (100%)
6 (86%)
Other metazoa
10
5 (50%)
2 (20%)
7 (70%)
6 (60%)
9 (90%)
6 (60%)
Σ All insects
42
38 (91%)
41 (98%)
42 (100%)
42 (100%)
42 (100%)
41 (98%)
SD*
1.01
0.62
0.54
0.65
0.71
0.84
Precision**
0.72
0.37
0.28
0.35
0.49
0.58
Σ All taxa
52
43 (83%)
43 (83%)
49 (94%)
48 (92%)
51 (98%)
47 (90%)
Mean standard deviation (SD) of log10 read abundance from each insect taxon that was detected (specimens with <0.003% read abundance discarded).
Precision defined as the SD of the mean log10 distance to the expected read abundances, calculated for each morphotaxon (all taxa).
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
ReferencesElbrechtV.LeeseF. (2015). Can DNA-based ecosystem assessments quantify species abundance? Testing primer bias and biomass—sequence relationships with an innovative metabarcoding protocol. PLoS ONE10:e0130324. 10.1371/journal.pone.013032426154168ElbrechtV.TaberletP.DejeanT.ValentiniA.Usseglio-PolateraP.BeiselJ.-N.. (2016). Testing the potential of a ribosomal 16S marker for DNA metabarcoding of insects. PeerJ4, e1966–e1912. 10.7717/peerj.196627114891