Scraping the bottom of the barrel: are rare high throughput sequences artifacts?
By S. Brown, A. Veach, Anne R. Rigdon-Huss, K. Grond, Spencer K. Lickteig, K. Lothamer, A. Oliver, A. Jumpponen. 2015
221 citations recorded by the source corpus.
Subfields: Ecology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/fdb31fdc63534e499af1f11b901374657f1e02e1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- R. Kjøller
- Johan Claes
- L. V. Campenhout
- A. Borremans
- Anastasis Oulas
- Georgios A. Pavlopoulos
- Kessy Abarenkov
- Stijn Luca
In Molecular Biology
- Leho Tedersoo
- Tobias Frøslev
- R. Kjøller
- H. H. Bruun
- A. Hansen
- Johan Claes
- L. V. Campenhout
- A. Borremans
Citations in the corpus
- Algorithm for post-clustering curation of DNA amplicon data yields reliable biodiversity estimates (2017, methodology): “The proportion of erroneous singletons has been estimated to 38% on average 12 , and studies of bacterial mock communities have revealed that standard bioinformatic approaches result in many spurious OTUs 13 .”
- Metagenomics: Tools and Insights for Analyzing Next-Generation Sequencing Data Derived from Biodiversity Studies (2015, background): “27 Noise generated by this 454 pyrosequencing technology affected different aspects of metagenomic data analysis and led to biased results.”
- Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi (2015, methodology): “Following exclusion of singletons from all HTS data sets (cf. Brown et al. 2015), representative sequences were selected for each OTU based on the greatest similarity to the consensus sequence.”
- Nitrogen addition alters ectomycorrhizal fungal communities and soil enzyme activities in a tropical montane forest (2017, methodology): “OTUs with fewer than 10 sequences (n ¼ 655) were excluded from alpha and beta diversity analyses to provide a robust data set to compare EM fungal communities among N treatments and host developmental stages (Smith and Peay, 2014; Brown et al., 2015).”
- Soil fungal communities respond compositionally to recurring frequent prescribed burning in a managed southeastern US forest ecosystem (2015, background): “Low frequency OTUs (representing 6 10 sequences) that may be PCR and/or sequencing artifacts were removed (Tedersoo et al., 2010; Brown et al., 2015) resulting in a total of 1412 OTUs and 348,994 total sequences in the dataset.”
- Effect of post-harvest starvation and rinsing on the microbial numbers and the bacterial community composition of mealworm larvae (Tenebrio molitor) (2017, methodology): “Global singletons (i.e. OTUs representing only a single unique sequence in the entire dataset) were removed after UPARSE clustering in order to minimize the risk of retaining sequences from sequencing errors (Brown et al., 2015; Waud, Busschaert, Ruyters, Jacquemyn, & Lievens, 2014).”