New Insights into Microbial Ecology through Subtle Nucleotide Variation

• Main Author: A. Murat Eren (auth)
• Other Authors: Mitchell Sogin (auth), Lois Maignien (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: Frontiers Media SA 2016
• Series: Frontiers Research Topics
• Subjects: Microbiology (non-medical); high-resolution; oligotyping; Minimum Entropy Decomposition; microbiome; 16S rRNA gene
• Online Access: DOAB: download the publication; DOAB: description of the publication

The 16S ribosomal RNA gene commonly serves as a molecular marker for investigating microbial community composition and structure. Vast amounts of 16S rRNA amplicon data generated from environmental samples thanks to the recent advances in sequencing technologies allowed microbial ecologists to explore microbial community dynamics over temporal and spatial scales deeper than ever before. However, widely used methods for the analysis of bacterial communities generally ignore subtle nucleotide variations among high-throughput sequencing reads and often fail to resolve ecologically meaningful differences between closely related organisms in complex microbial datasets. Lack of proper partitioning of the sequencing data into relevant units often masks important ecological patterns. Our research topic contains articles that use oligotyping to demonstrate the importantance of high-resolution analyses of marker gene data, and providides further evidence why microbial ecologists should open the "black box" of OTUs identified through arbitrary sequence similarity thresholds.