This document discusses using network analysis of 16S rRNA gene sequences to uncover novel phylogenetic diversity from next-generation sequencing libraries. It hypothesizes that rare 16S rRNA gene sequences represent phylogenetically novel and persistent low abundance populations. The document outlines using network analysis to explore rare taxa and phylogenetic novelty in an effective manner. It also discusses using this approach to retrieve targeted genomes to study function, explore additional environments, and analyze indicator species ecology.
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Neufeld CSM 2012
1. Network analysis for recovering
novel phylogenetic diversity
from next-generation
16S rRNA gene libraries
Josh D. Neufeld
University of Waterloo
4. Why study the rare biosphere?
Produce estimates of total number of taxa in samples
Answer whether everything is everywhere.
Enable testing ecological mechanisms for subsistence
Enable research into genes with novel applications
Reveal phylogenetic novelty,
undetected due to previous
methodological limitations
Carlos Pedr坦s-Ali坦 Josh Neufeld
5. Hypothesis
Rare 16S rRNA gene
sequences are
phylogenetically
novel and represent
persistent low abundance
populations.
28. Gloeobacter violaceus,
isolated from limestone
bio鍖lmsalso
most environmental
sequences forming the large
Gloeobacterales clade have
been retrieved from
rock-associated bio鍖lms,
stromatolites, or thermophilic
microbial mats
34. Conclusions
SSUnique and AutoQIIME e鍖ective for exploring novel
taxonomic diversity
Phylogenetic analysis enabled by complementing
next-gen data with targeted gene/genome retrieval
UL5 (BRC1, rare in multiple soils)
UL9 (sister to Cyanobacteria and chloroplasts)
UL13 (divergent mitochondria of unknown eukaryotes)
35. Next steps
FUNCTION: targeted genome retrieval
DIVERSITY: explore additional environments
ECOLOGY: indicator species analysis
39. University of Waterloo
Michael Lynch (PDF)
Andrea Bartram (PhD)
Andre Masella (RA)
Michael Hall (RA)
Jennifer Stearns (PDF)
Katja Engel (RA)
University of Toronto
Dennis Cvitkovitch
Ken Croitoru
Howie Tenenbaum
Michael Goldberg
Wilfrid Laurier University
Gabriel Moreno-Hagelsieb