SLP

SLP improves accuracy of Operational Taxonomic Unit (OTU) clustering in microbial community analyses by applying a 2% single-linkage preclustering step followed by average-linkage clustering to mitigate sequencing errors from deep sequencing of PCR amplicon libraries.

Key Features:

• Single-Linkage Preclustering: Employs a 2% single-linkage preclustering step to reduce noise from sequencing errors and low-abundance reads typical of deep sequencing of PCR amplicon libraries.
• Average-Linkage Clustering: Applies average-linkage clustering based on pairwise sequence alignments to refine grouping of sequences into OTUs by sequence similarity.
• Reduction in OTU Richness: Reduces predicted OTU richness in environmental samples by 30–60% while preserving detection of rare taxa within long-tailed rank abundance curves that define the rare biosphere.

Scientific Applications:

• Environmental DNA Surveys: Improves OTU-based diversity estimates in environmental DNA studies using deep sequencing of PCR amplicon libraries for complex microbial communities.
• Microbial Ecology Research: Supports ecological analyses of microbial populations by providing more realistic OTU richness estimates for studies of ecosystem dynamics, biodiversity, and the rare biosphere.

Methodology:

Performs a 2% single-linkage preclustering step followed by average-linkage clustering using pairwise sequence alignments.