2022
DOI: 10.1007/s00248-022-02018-4
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DNA Metabarcoding Reveals Cryptic Diversity in Forest Soils on the Isolated Brazilian Trindade Island, South Atlantic

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Cited by 5 publications
(5 citation statements)
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“…Alves is a lichen species that is considered a putative endemic taxon for the island (Lucking et al, 2015). More recently, based on a metabarcoding approach, Câmara et al (2022) pointed out the occurrence of five phyla that were not recorded before and the occurrence of 247 species (113 identified at the species level). This study represents an increase of almost 10-fold in the number of species registered to occur in the Trindade.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Alves is a lichen species that is considered a putative endemic taxon for the island (Lucking et al, 2015). More recently, based on a metabarcoding approach, Câmara et al (2022) pointed out the occurrence of five phyla that were not recorded before and the occurrence of 247 species (113 identified at the species level). This study represents an increase of almost 10-fold in the number of species registered to occur in the Trindade.…”
Section: Discussionmentioning
confidence: 99%
“…Lodge, Vizzini, Ercole & Boertm. was recovered in a recent soil metabarcoding study conducted in Trindade (Câmara et al, 2022), and it is considered Endangered (Jordal, 2019). Despite G. vitellinus being described as an oceanic species, its current distribution is restricted to the coast of European countries, and metabarcoding studies are known to have a considerable degree of bias from DNA extraction to bioinformatic treatment (Nilsson et al, 2019), which can undermine taxonomic classification.…”
Section: Discussionmentioning
confidence: 99%
“…Geographic distribution follows Petz (2005), Thompson et al (2019), Guiry and Guiry (2021), and Tropicos (http://www.tropicos.org). We used the number of reads as a proxy for abundance following the approach used by Deiner et al (2017), Hering et al (2018), Câmara et al (2020, Câmara, de Menezes, et al, 2022; Câmara, Menezes, et al, 2022; Câmara, Bones, et al, 2022), and Rosa et al (2020, 2021). Sequences were submitted to GenBank and accession numbers are given in Appendix 1.…”
Section: Methodsmentioning
confidence: 99%
“…For instance, evolutionary biologists rely on large molecular sequence datasets to study speciation trends ( Schlegel 1991 , Adl et al 2019 ). Large datasets help resolve cryptic diversity, which is a challenge seen across the tree of life—animals ( Marchán et al 2018 , Li and Wiens 2023 ), plants ( Vieu et al 2023 , Windham et al 2023 ), fungi ( Koufopanou et al 1997 , Pringle et al 2005 ), bacteria ( Meyer et al 2023 ), protists ( Wakeman and Leander 2013 , Krienitz et al 2015 , Martin et al 2016 ), archaea ( Câmara et al 2023 ), and viruses ( Roux et al 2019 ). Specialists across a range of taxa can therefore use GINSA to collect more data for their phylogenetic (SSU sequence) and biogeographic (locality) analyses.…”
Section: Applications and Implementationmentioning
confidence: 99%