2020
DOI: 10.1007/s00427-020-00652-x
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High-throughput sequencing for community analysis: the promise of DNA barcoding to uncover diversity, relatedness, abundances and interactions in spider communities

Abstract: Large-scale studies on community ecology are highly desirable but often difficult to accomplish due to the considerable investment of time, labor and, money required to characterize richness, abundance, relatedness, and interactions. Nonetheless, such large-scale perspectives are necessary for understanding the composition, dynamics, and resilience of biological communities. Small invertebrates play a central role in ecosystems, occupying critical positions in the food web and performing a broad variety of eco… Show more

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Cited by 55 publications
(63 citation statements)
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References 168 publications
(205 reference statements)
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“…This is for example useful in groups for which there is no pre‐existing hypotheses to test, or for which unknown/incorrectly delimited species represent the majority of the diversity (e.g., microbial communities or hyperdiverse groups of eukaryotes, such as insects, spiders, nematodes, molluscs). Furthermore, DNA barcodes are now routinely produced using NGS approaches, providing large numbers of sequences often not assignable to known and sequenced species (Kennedy et al., 2020), and for which methods such as ASAP are welcome to e.g., compare species diversity among sites.…”
Section: Discussionmentioning
confidence: 99%
“…This is for example useful in groups for which there is no pre‐existing hypotheses to test, or for which unknown/incorrectly delimited species represent the majority of the diversity (e.g., microbial communities or hyperdiverse groups of eukaryotes, such as insects, spiders, nematodes, molluscs). Furthermore, DNA barcodes are now routinely produced using NGS approaches, providing large numbers of sequences often not assignable to known and sequenced species (Kennedy et al., 2020), and for which methods such as ASAP are welcome to e.g., compare species diversity among sites.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, even by successfully coupling the identification of the genus Carex with several different amplified genes (i.e., rbcL , trnL‐trnF , matK and 28S), and long amplicons (>800–1,200 bp), taxonomic assignment at the species level was not possible and the final identification remained at the genus level, “ Carex sp.” This may be caused by the difficultly associated with discriminating between closely related species or, more probably, by the incomplete nature of the NCBI database. Indeed, many species have not yet been added to this database (Kennedy et al., 2020). To identify the aforementioned plants to a higher taxonomic level, we recommend the elaboration of a local DNA sequence database, containing the plant species representing the known botanical diversity of the studied areas.…”
Section: Discussionmentioning
confidence: 99%
“…HTS has been used to assess the diet composition of a wide taxonomic range of animals. Animals whose diets have been successfully investigated have included mammals (Buglione et al., 2018; De Barba et al., 2014; Esnaola et al., 2018; Robeson et al., 2017), birds (Crisol‐Martinìez et al., 2016; Han & Oh, 2018), reptiles (Caut et al., 2019; Kartzinel & Pringle, 2015; Koizumi et al., 2017), fish (Barbato et al., 2019; Harms‐Tuohy et al., 2016; Riccioni et al., 2018) and arthropods (Kamenova et al., 2018; Kennedy et al., 2020; Krehenwinkel et al., 2016). For most species, faecal samples, in contrast to stomach contents, can easily be obtained, with a minimal level of interaction and harm inflicted on the studied animal.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the many technical challenges, environmental DNA and metabarcoding face becoming standard survey tools (Deiner et al, 2017), including in our focal groups (Toju and Baba 2018, Piper et al 2019, Kennedy et al 2020. Their ability to provide reliable absence data and to produce a massive amount of presence data is predicted to improve the efficiency of SDMs in the near future (Muha et al 2017).…”
Section: Distribution Datamentioning
confidence: 99%