Isolation of bacterial genomes from soil metagenomes
1. The Assembly of Bacterial Genomes
from Soil Metagenomes
Daniel Burkhardt
Kristen DeAngelis (Faculty Sponsor)
Department of Microbiology
University of Massachusetts Amherst
2. How can we use this… …to learn about this?
Actual metagenome reads
(a.k.a. DNA from the soil!)
4. Soil is a major source of carbon
http://genomicscience.energy.gov/carboncycle/
5. Microbes turn carbon into energy and CO2
Organic
carbon
Microbes
Carbon dioxide
ATP
“Stuff”Respiration
Carbon dioxide
ATP
“Stuff”
Fermentation
6. Slight increases in temperature can have
drastic effects on enzyme activity
Optimum
temperature
Rate of reaction in enzyme
catalyzed system
Potential positive feedback
loop to warming
7. We can test the effect of warming on soil
through artificial warming experiments
From the Harvard Forest in Petersham, MA
8. Warming elicits a tri-phasic response
in soil respiration at the Harvard Forest
Mellilo, unpublished
9. Change in respiration is accompanied by
changes in carbon community
Warming decreases
available C
Warming affects
microbial abundance
DeAngelis, submitted
10. Shotgun sequencing
Original genome
Sequence fragments
Scaffolding
http://scienceblogs.com/evolgen/2007/02/07/shotgun-sequencing-a-eukaryoti/
ATCG
ATCG
TAATCG
ATCGTA
Now
multiply this
by 100,000
13. Sequence dependent strategies
One solution:
Try to use species specific
sequence biases
G+C %
Synonymous codon
choice
Amino acid usage
Oligonucleotide
frequency (2-8 nt
sequences)
Composition dependent
methods because they rely on
properties of the sequences
Genomic Signature: Characterization and Classification of Species Assessed by Chaos Game Representation of Sequences Patrick J.
Deschavanne,* Alain Giron,† Joseph Vilain,† Guillaume Fagot,† and Bernard Fertil†
Heat map of 7 nt-long
sequence (e.g. CTAGGCT)
14. The basis of differential coverage
binning
Coverage: 2 Coverage: 5
Sample 1 Sample 2Our goal:
15. Differential coverage binning
Variation in
abundance…
…leads to variation in
coverage
Albertsen, M. et al. (2013). Genome sequences of rare, uncultured bacteria obtained by
differential coverage binning of multiple metagenomes. Nat. Biotechnol. 31, 533–538
Reassemble
from these
reads only
17. So what can we learn from these
genomes?
Tie functionality to taxonomy
and climate change
Better interpret changes in
community
Influence climate models
Discover new bacteria!
Discover pathways in
bacteria without culturing
them first
Understand members of the
community which are
affected by warming Hypothetical bacterial genome