2010
DOI: 10.1111/j.1462-2920.2010.02193.x
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Ironing out the wrinkles in the rare biosphere through improved OTU clustering

Abstract: Deep sequencing of PCR amplicon libraries facilitates the detection of low-abundance populations in environmental DNA surveys of complex microbial communities. At the same time, deep sequencing can lead to overestimates of microbial diversity through the generation of low-frequency, error-prone reads. Even with sequencing error rates below 0.005 per nucleotide position, the common method of generating operational taxonomic units (OTUs) by multiple sequence alignment and complete-linkage clustering significantl… Show more

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Cited by 1,203 publications
(1,127 citation statements)
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References 30 publications
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“…This resulted in 12,041,000 sequences distributed over 36 coral fragments [3 coral replicates × 4 conditions (control vs. DOC; control vs. DON) × 3 time points] and 36 water samples [3 seawater replicates × 4 conditions (control vs. DOC; control vs. DON) × 3 time points]. Remaining sequences were aligned against the SILVA database (release 119; Pruesse et al., 2007)) and preclustered (2 bp difference; Huse, Welch, Morrison, & Sogin, 2010). Chimeric sequences were removed using the UCHIME command (Edgar et al., 2011).…”
Section: Methodsmentioning
confidence: 99%
“…This resulted in 12,041,000 sequences distributed over 36 coral fragments [3 coral replicates × 4 conditions (control vs. DOC; control vs. DON) × 3 time points] and 36 water samples [3 seawater replicates × 4 conditions (control vs. DOC; control vs. DON) × 3 time points]. Remaining sequences were aligned against the SILVA database (release 119; Pruesse et al., 2007)) and preclustered (2 bp difference; Huse, Welch, Morrison, & Sogin, 2010). Chimeric sequences were removed using the UCHIME command (Edgar et al., 2011).…”
Section: Methodsmentioning
confidence: 99%
“…Resulting sequences were filtered for length, quality and chimera removal using the software package mothur (Schloss et al, 2009). High-quality sequences were subjected to operational taxonomic unit (OTU)-based clustering (Huse et al, 2010) and phylogenybased analysis using Fast UniFrac (Hamady et al, 2010) to evaluate the effects of host genetics on bacterial community composition. Details of sequencing and data processing steps are provided in the Supplementary Methods.…”
Section: Micementioning
confidence: 99%
“…Kunin et al (2009) argued that much of the diversity described in these initial studies was a result of sequencing error. The error rate of these methods after appropriate quality control procedures, however, is quite low (Huse et al, 2010). Reanalysis of these initial studies with new clustering methods that minimally inflate the number of operational taxonomic units (OTUs) report only slightly lower richness estimates with rank abundance curves that indicate a large abundance of rare taxa (Huse et al, 2010).…”
Section: Introductionmentioning
confidence: 99%