2017
DOI: 10.7287/peerj.preprints.2759v3
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Assessing strengths and weaknesses of DNA metabarcoding based macroinvertebrate identification for routine stream monitoring

Abstract: 18 19 1) DNA metabarcoding holds great promise for the assessment of macroinvertebrates in stream ecosystems. However, few 20 large-scale studies have compared the performance of DNA metabarcoding with that of routine morphological identification. 212) We performed metabarcoding using four primer sets on macroinvertebrate samples from 18 stream sites across Finland. 22The samples were collected in 2013 and identified based on morphology as part of a Finnish stream monitoring program. 23Specimens were morpholog… Show more

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Cited by 45 publications
(105 citation statements)
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“…After samples are collected using a standardised protocol ( Figure 1A, Buss et al, 2015), invertebrate specimens are usually separated from any debris such as substrate and non-target organic matter as part of the morphological identification process ( Figure 1B). While this increases the chance that some taxa and specimens will be overlooked (Haase, Pauls, Schindehütte, & Sundermann, 2010), in most metabarcoding studies of freshwater macroinvertebrates, specimens were separated from debris (Carew et al, 2013;Elbrecht, Vamos, et al, 2017;Emilson et al, 2018;Gibson et al, 2015). This is often done as part of preceding morphological identifications, or out of the concern that homogenising an entire sample might introduce polymerase chain reaction (PCR) inhibitors and complicate standardisation.…”
Section: Sample Collec Ti On Homog Enisation and Dna E X Tr Ac Tionmentioning
confidence: 99%
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“…After samples are collected using a standardised protocol ( Figure 1A, Buss et al, 2015), invertebrate specimens are usually separated from any debris such as substrate and non-target organic matter as part of the morphological identification process ( Figure 1B). While this increases the chance that some taxa and specimens will be overlooked (Haase, Pauls, Schindehütte, & Sundermann, 2010), in most metabarcoding studies of freshwater macroinvertebrates, specimens were separated from debris (Carew et al, 2013;Elbrecht, Vamos, et al, 2017;Emilson et al, 2018;Gibson et al, 2015). This is often done as part of preceding morphological identifications, or out of the concern that homogenising an entire sample might introduce polymerase chain reaction (PCR) inhibitors and complicate standardisation.…”
Section: Sample Collec Ti On Homog Enisation and Dna E X Tr Ac Tionmentioning
confidence: 99%
“…Over the past few years, several studies have demonstrated the feasibility of metabarcoding-based monitoring of freshwater macroinvertebrates (Andújar et al, 2018;Carew, Pettigrove, Metzeling, & Hoffmann, 2013;Gibson et al, 2015;Hajibabaei, Shokralla, Zhou, Singer, & Baird, 2011). Despite some methodological limitations (presence/absence data, primer bias) (Piñol, Mir, Gomez-Polo, & Agustí, 2014;Elbrecht & Leese, 2015), assessment results are at least comparable if not superior to conventional morphology-based stream monitoring approaches (Elbrecht, Vamos, Meissner, Aroviita, & Leese, 2017;Emilson et al, 2018;Gibson et al, 2015). Some macroinvertebrate reference databases are already fairly comprehensive especially for common taxa (Carew et al, 2017;Curry, Gibson, Shokralla, Hajibabaei, & Baird, 2018).…”
Section: Introductionmentioning
confidence: 99%
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“…DNA metabarcoding allows high-throughput and reliable identification of macroinvertebrate species biodiversity in multiple samples, simultaneously (e.g. Carew, Kellar, Pettigrove, & Hoffmann, 2018;Elbrecht, Vamos, Meissner, Aroviita, & Leese, 2017;Porter & Hajibabaei, 2018). Unlike morphological identification, DNA metabarcoding has the benefit of being less susceptible to the suite of potential errors identified above and provides easy access to species level information (Carew et al, 2017;Curry, Gibson, Shokralla, Hajibabaei, & Baird, 2018).…”
Section: Introductionmentioning
confidence: 99%