Download Taxonomic profiling with MetaPhlAn2

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
Taxonomic profiling with MetaPhlAn2
Curtis Huttenhower
Galeb Abu-Ali
Eric Franzosa
Harvard T.H. Chan School of Public Health
Department of Biostatistics
08-12-16
The two big questions of microbial
community analysis...
Who is
there?
What
are they
doing?
2
Taxonomic profiling: who’s there
http://huttenhower.sph.harvard.edu/metaphlan2
3
Efficient assembly-free meta’omics by leveraging isolates
I
II
III
III
4
I
II
II
III
II
I
I
IV
II
II
IV
IV
V
V
I
IV
I
I
III
II
II
IV
II
II
V
IV
V
V
III
III
II
V
NCBI isolate
genomes
Archaea
300
Bacteria 12,926
Viruses
3,565
Eukaryota
112
V
II
Open reading
frames
49.0 million
total genes
RepoPhlAn
Species pangenomes
Core
genes
Marker
genes
7,677
containing
18.6 million
gene clusters
Nicola Segata
ChocoPhlAn
http://www.metaref.org
MetaPhlAn2: metagenomic
taxonomic profiling
http://huttenhower.sph.harvard.edu/metaphlan2
X is a unique marker gene for clade Y
Gene X
• ~1M most representative markers used for identification
• 184±45 markers per species (target 200)
•
•
•
•
•
~7,100 species (excludes incomplete annotations, spp., etc.)
False positive/False negative rates of ~1 in 106
Profiles all domains of life: bacteria, viruses, euks, archaea
Strain level profiling using marker barcodes and SNPs
Quasi-markers used to resolve ambiguity in postprocessing
5
Coverage
Per-species abundance by
robust averaging
Multi-copy
genes
Plateau of genes from one metagenome’s strain
Absent genes
Abundance-sorted pan-gene families
6
Meta-analysis of metagenomic
taxonomic profiles
•
•
•
Waldron and Segata: meta-analysis of
>2,400 gut metagenomes.
Available as an R package.
Allows systematic tests of phenotypes across
datasets, or health vs. disease.
7
Related documents