Exact Amplicon Sequence Variants - QCBS · 2018. 12. 31. · Sequence Tables Study 1 Study 2 Study...

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Exact Amplicon Sequence Variants

BIOME 2018

Diversity of Life

Image: Norman Pace

A Molecular CensusMetabarcoding or Marker-gene Sequencing

A Microbial Census

ATTAACGAGATTATAACCAGAGTACGAATACCGAACCACGATTCACAAGGTACCACAAGGTAACATAGCTCCATTAACCCCTTATAACCAGAGTACGAATACCGAACAATTAACGAGATTATAACCAGAGAGAGAATACCGAACCACGATTCTTGTGGTACCACAAGGTAACATAGCTCCCACGATTCACAAGGTACCACAAGGTAACATAGCTCCGGGAACTACAATCTCTAAGGTGAAGTCTCAGTCTATATTAACGAGATTATAACCAGAGTACGAATACCGAACCACGATTCACAAGGTACCACAAGGTAACATAGCTCCATTAACGAGATTATAACCAGAGTACGAATACCGAAC

Metabarcoding or Marker-gene Sequencing

A Microbial Census

ATTAACGAGATTATAACCAGAGTACGAATACCGAACCACGATTCACAAGGTACCACAAGGTAACATAGCTCCATTAACCCCTTATAACCAGAGTACGAATACCGAACAATTAACGAGATTATAACCAGAGAGAGAATACCGAACCACGATTCTTGTGGTACCACAAGGTAACATAGCTCCCACGATTCACAAGGTACCACAAGGTAACATAGCTCCGGGAACTACAATCTCTAAGGTGAAGTCTCAGTCTATATTAACGAGATTATAACCAGAGTACGAATACCGAACCACGATTCACAAGGTACCACAAGGTAACATAGCTCCATTAACGAGATTATAACCAGAGTACGAATACCGAAC

Lactobacillus crispatus 1300 5 0 882 596

Ureaplasma urealytica 15 0 220 0 0

Gardnerella vaginalis 22 0 1 0 412

Prevotella intermedia 0 0 8 12 0

... ... ... ... ... ...

Metabarcoding or Marker-gene Sequencing

A Microbial Census

ATTAACGAGATTATAACCAGAGTACGAATACCGAACCACGATTCACAAGGTACCACAAGGTAACATAGCTCCATTAACCCCTTATAACCAGAGTACGAATACCGAACAATTAACGAGATTATAACCAGAGAGAGAATACCGAACCACGATTCTTGTGGTACCACAAGGTAACATAGCTCCCACGATTCACAAGGTACCACAAGGTAACATAGCTCCGGGAACTACAATCTCTAAGGTGAAGTCTCAGTCTATATTAACGAGATTATAACCAGAGTACGAATACCGAACCACGATTCACAAGGTACCACAAGGTAACATAGCTCCATTAACGAGATTATAACCAGAGTACGAATACCGAAC

Lactobacillus crispatus 1300 5 0 882 596

Ureaplasma urealytica 15 0 220 0 0

Gardnerella vaginalis 22 0 1 0 412

Prevotella intermedia 0 0 8 12 0

... ... ... ... ... ...

Inference

ExplorationVisualization

Metabarcoding or Marker-gene Sequencing

The MGS Microscope

The MGS Microscope

• sample collection • sample storage • DNA extraction • library preparation • PCR • sequencing instrument • bioinformatics

Marker-gene Sequencing2,000,000 bp300 bp

2,000,000 bp300 bp

1

5

10

15

12,000,005

12,000,010

Marker-gene Sequencing

2,000,000 bp300 bp

Thousands to Billions of “Barcodes”

1

5

10

15

12,000,005

12,000,010

Marker-gene Sequencing

Callahan, et al. Nature Methods, 2016.

PCR/sequencing

SampleSequences

AmpliconReads

Callahan, et al. Nature Methods, 2016.

PCR/sequencing

SampleSequences

AmpliconReads

Pick OTUs

OperationalTaxonomic Units

Callahan, et al. Nature Methods, 2016.

PCR/sequencing

SampleSequences

AmpliconReads

PCR/sequencing

SampleSequences

AmpliconReads

Callahan, et al. Nature Methods, 2016.

PCR/sequencing

SampleSequences

AmpliconReads

Callahan, et al. Nature Methods, 2016.

Pick OTUs

Uh oh!

Different OperationalTaxonomic Units

OTU85 is not a consistent label

Exact Sequence Variants…

OTU85 is predictive of a disease? Not in future data!

OTU85 is associated w/ X and Y? Can’t be tested!

OTU85 is in this community? OTUs don’t exist in nature!

McLaren & Callahan, mBio, 2018.

Exact Sequence Variants…

Different OperationalTaxonomic Units

PCR/sequencing

SampleSequences

AmpliconReads

Callahan, et al. Nature Methods, 2016.

Pick OTUs

Different OperationalTaxonomic Units

PCR/sequencing

SampleSequences

AmpliconReads

Callahan, et al. Nature Methods, 2016.

Pick OTUs

Infer Sample Sequences

Exact Sequence Variants…

OTU85 is not a consistent label, but…

ATTAACGAGATTATAACCAGAGTACGAATA…

is consistent!

Sequence Tables

Study 1

Study 2

Study 3

Cross-study comparisonmerge

Eliminates need for joint reprocessing of raw data.

Callahan, et al. ISMEJ, 2017.

…the sequence is the label

Sequence Tables

Study 1

Study 2

Study 3

Cross-study comparisonmerge

Eliminates need for joint reprocessing of raw data.Continuous data integration. Unlimited dataset size.

Callahan, et al. ISMEJ, 2017.

…the sequence is the label

Sequence Tables

Study 1

Study 2

Study 3

Cross-study comparisonmerge

Eliminates need for joint reprocessing of raw data.Continuous data integration. Unlimited dataset size.You in 2020 can work directly with you today.

Callahan, et al. ISMEJ, 2017.

…the sequence is the label

…the sequence is the labelD

ata

Your dataset

Biology

In re

fere

nce

data

base

De Novo Closed-Reference Exact SVs

Valid

Invalid

Callahan, et al. ISMEJ, 2017.

“Replacing OTUs with ASVs makes marker-gene sequencing more precise, reusable, reproducible and comprehensive.”

A rose by another name…

Exact Sequence Variants (ESVs) - Callahan et al. 2017 (by accident)

Amplicon Sequence Variants (ASVs) - Needham et al. 2017 - Callahan et al. 2017

sub-OTUs (sOTUs) - Amir et al. 2017

Zero radius OTUs (zOTUs) - Edgar 2017

Haplotypes, oligotypes, …

A rose by another name…

Exact Sequence Variants (ESVs) - Callahan et al. 2017 (by accident)

Amplicon Sequence Variants (ASVs) - Needham et al. 2017 - Callahan et al. 2017

sub-OTUs (sOTUs) - Amir et al. 2017

Zero radius OTUs (zOTUs) - Edgar 2017

All the same thing! All the same (qualitative) benefits!

Haplotypes, oligotypes, …

Exact Sequence Variants…

PreciseTractableReproducibleComprehensiveCallahan, et al. ISMEJ, 2017.

Exact Sequence Variants…

PreciseTractableReproducibleComprehensiveCallahan, et al. ISMEJ, 2017.

… are replacing OTUs

PreciseTractableReproducibleComprehensive

“the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale…for many sample types, especially plant-associated and free-living communities, one-third of reads or more could not be mapped to [closed-reference OTUs]…Because exact sequences are stable identifiers, unlike OTUs, they can be compared to any 16S rRNA or genomic database now and in the future, thereby promoting reusability [22]… An advantage of using exact sequences is that they enable us to observe and analyse microbial distribution patterns at finer resolution than is possible with traditional OTUs…”

Callahan, et al. ISMEJ, 2017.

Preterm birth is the leading cause of child mortality in the US and worldwide.

Intrauterine infection is the most common mechanism, estimated to occur in 25-40% of cases. This may be an underestimate.

Bacterial vaginosis is a known risk factor (2-4x). Perhaps periodontitis as well.

Potential routes of intrauterine infection

Ascendingroute, nativemicrobiota

Resolution: Preterm Birth

Goldberg, et al. Lancet, 2006.

Resolution: Preterm Birth

Gardnerella

0.01

1.00

0.01 1.00

P−Value (Stanford)

P−V

alu

e (

UA

B)

Resolution

Genus/OTU

Sequence Variant

Frequency

0.1%

1%

10%

Callahan et al. PNAS, 2017.

Resolution: Preterm Birth

G1

G2

G3

Gardnerella

0.01

1.00

0.01 1.00

P−Value (Stanford)

P−V

alu

e (

UA

B)

Resolution

Genus/OTU

Sequence Variant

Frequency

0.1%

1%

10%

Callahan et al. PNAS, 2017.

Resolution: Preterm Birth

00703C2mash

00703Bmash

5515241V 1400E

HMP9231

0288E

14019

75712

315−A

101

00703Dmash6119V5409−055−1

AMD

6420B

G1

G2

G3

Tree from whole genomes

Callahan et al. PNAS, 2017.

=? Reproducible Measurements