Ecosystem-centered microbial ecology & biogeochemistry
Biology Department, StFX (May 2nd, 2022)
Jesse McNichol (he/him) : PhD, Biological Oceanography
Postdoctoral Scholar, University of Southern California
100 light years away, on an Earth-like exoplanet...
100 light years away, on an Earth-like exoplanet...
...an alien civilization launches an infrared space telescope
They spot the "pale blue dot" that is our planet
Peering into our atmosphere...
...what do they discover?
We are not alone!
Chemical disequilibrium = evidence for life
Chemical disequilibrium
Krissansen-Totton et al., 2018
But Earth's atmosphere remains out of equilibrium
Center of the Earth System
Microbial life
(Micro)
Kump, Kasting, and Crane, The Earth System
How do microbial communities* influence the Earth System**,
and vice-versa***?
*whole community methods
**primary productivity, elemental cycling
***effect of anthropogenic pressure on ecosystems
Microbe art: @claudia_traboni
Microbiology
Environmental science
Bioinformatics
Evolution, population genetics
Ecosystem modelling, global change biology
Microbial ecology, biogeochemistry
Microbiology
Bioinformatics
Environmental science
Long term vision: A lab that links microbial diversity & biogeochemical function in the context of global ecosystem change with modern 'omics-enabled techniques
DNA sequencing is now low-cost...
...allowing us to sequence environmental "microbiomes"
Ecology & environmental science
Microbiology
Bioinformatics
Open ocean systems
Whycocomagh Bay (WB)
Microbe art: @claudia_traboni
Taxa-specific activity
"Biobank" (collected as often as possible from student projects / field work)
Whycocomagh Bay
Viable cells
DNA
RNA
Water
T/S/Chl./Nut.
Fixed cells
Barcoding
Core environmental data
Projects inspired by environmental data
Cultivation
HCR-FISH
???
'omics
Whycocomagh Bay / Antigonish Harbour
Products
Research
Teaching / mentoring
Site
Standardized methods for microbial observations in context of physical/chemical environment
"Biobank" including DNA/RNA, viable /preserved cells, 'omics data
Native Microbiota CURE for training in methods
Undergrad-level projects
Graduate-level projects
Local, international collaborations
Monitoring of HABs, water quality
Climate change impacts
Pure research in microbial ecology
In silico
Laboratory
Field work
Holistic ecosystem knowledge
Reductionist (multiple entry points)
Interdisciplinary opportunities
3. Current work
2. HK/Taiwan work
1. PhD work
1. PhD work
Ecology & environmental science
Microbiology
Bioinformatics
Deep-sea hydrothermal vents: Oases fueled by geochemical energy
FISH
SIP
'omics data in an experimental, biogeochemical context
Advantages for mentees:
O2 caused major shift in community over ~ 24 h
Use single-cell genomes to investigate genetic basis of this response
2. HK/Taiwan work
Ecology & environmental science
Microbiology
Bioinformatics
1. Genomes from pure cultures
2. (Pan)genomic analysis with anvi'o
3. Diversity, evolution, biogeochemistry
Plot made with anvi'o
Clade 1:
+ denit, + N2'ase
N source & sink
Clade 2:
- denit, + N2'ase
N source
Diagram = Li et al., 2018.
N2
Advantages for mentees:
New genus
Xiaoyuan Feng, CUHK
1. Current work
Ecology & environmental science
Bioinformatics
GRADIENTS cruise (yearly)
An in silico global phytoplankton model (DARWIN project, MIT)
Advantages for mentees:
Kalmbach et al. (2017), arXiv:1703.07309v1
|
Years 1-2 |
---|---|
|
Years 3-4 |
|
Year 5 onwards |
Long term vision: A lab that links microbial diversity & biogeochemical function in the context of global ecosystem change with modern 'omics-enabled techniques
|
Years 1-2 |
---|---|
|
Years 3-4 |
|
Year 5 onwards |
|
Years 1-2 |
---|---|
|
Years 3-4 |
|
Year 5 onwards |
Epifluorescence microscope
Microoxic cultivation equipment for non-pathogenic bacteria
CL2
A small computer lab for open-source bioinformatics software (qiime2, anvi'o) and databases (PR2, SILVA, GTDB)
|
Years 1-2 |
---|---|
|
Years 3-4 |
|
Year 5 onwards |
Needham & Fuhrman (2016), 10.1038/nmicrobiol.2016.5
|
Years 1-2 |
---|---|
|
Years 3-4 |
|
Year 5 onwards |
Robotic automation for high-throughput DNA prep
Automatic cell sorter to measure in situ activity, sort cells for sequencing
Optional, could collaborate or buy second-hand
~$20,000 USD for full NGS automation
Long term vision: A lab that links microbial diversity & biogeochemical function in the context of global ecosystem change with modern 'omics-enabled techniques
WB-EGO
In silico
Laboratory
Field work
Instrumental
Psychosocial
Evidence-based approaches
Motivated by desire to understand the Earth System
We anticipate that as trait-based biogeography continues to evolve, micro- and macroorganisms will be studied in concert, establishing a science that is informed by and relevant to all domains of life.” -Green, Bohannan, and Whitaker, Science (2008)
WHOI / UFZ: Stefan Sievert, Jeff Seewald, François Thomas, Niculina Musat, Craig Taylor
CUHK / Academia Sinica: Haiwei Luo, Annie Wing-Yi Lo, Benny Chan
USC/MIT/UCSB/Dalhousie/Carnegie: Jed Fuhrman, Yubin Raut, Enrico Ser-Giacomi, Paul Berube, Steven Biller, Mick Follows, Stephanie Dutkiewicz, Craig Carlson, Zoe Finkel, Emily Zakem
Sebastián & Gasol (2019), 10.1098/rstb.2019.0083 ; McNichol et al (2018) 10.1073/pnas.1804351115 ; Zehr (2015) 10.1126/science.aac9752; Bramucci et al (2021) 10.1038/s43705-021-00079-z
Automatic cell-sorting + environmental databases = taxon-specific activity or genetic potential measurements
Many uses for sorted cells:
Pjevac et al (2019) 10.1111/1462-2920.14739
Multiple sorting axes now possible
Specific FISH labeling + radiocarbon incubations = Carbon fixation rates were measured at the genus level and across different conditions
Microbe art: @claudia_traboni
p16S
e16S
18S
Microbe art: @claudia_traboni
18S
p16S
e16S
Local work (Whycocomagh or elsewhere):
Global/local work:
Vent work:
Departmental / interdepartmental collaborations:
Access work:
Natural history:
Models
Microbe art: @claudia_traboni
Ecosystem
Kalmbach et al. (2017), arXiv:1703.07309v1
Physics
Biology
Chemistry
Advantages for mentees:
Dueholm et al. (2020) mBio, e01557-20
Database of full-length 16S rRNA
*Depending on funding, availability of reference material
Model-data intercomparison (Yubin Raut, USC)
Modelling marine heterotrophs (Emily Zakem, Carnegie Inst.)
Subsurface C production > 10 - 10,000x photic zone export
Subsurface C production rivals chemosynthetic symbioses
?
Targets for physiological / evolutionary studies
1. Led in silico method optimization
Universal primers for barcoding work almost* perfectly across global oceans
2. Developed collaborations and generated data
Global metagenomes
Over 800 globally-distributed barcode samples allow model-data intercomparison
Craig Carlson, UCSB
Craig Carlson, Elisa Halewood, UCSB
Fraction of 18S amplicon sequences
16S
plastid 16S
18S
Jan-Feb 2005
Feb-Mar 2006
With deep sequencing, good coverage for all 3 domains
plastid
16S
mito 16S
nuclear 18S
Space / time
Abundance
A eukaryotic phytoplankter
"eDNA"
Jan-Feb 2005
Feb-Mar 2006
Craig Carlson, Elisa Halewood, UCSB
Jan-Feb 2005
Feb-Mar 2006
Craig Carlson, Elisa Halewood, UCSB
Jan-Feb 2005
Feb-Mar 2006
Craig Carlson, Elisa Halewood, UCSB
Jan-Feb 2005
Feb-Mar 2006
Craig Carlson, Elisa Halewood, UCSB
Jan-Feb 2005
Feb-Mar 2006
Craig Carlson, Elisa Halewood, UCSB
Jan-Feb 2005
Feb-Mar 2006
Craig Carlson, Elisa Halewood, UCSB
Jan-Feb 2005
Feb-Mar 2006
Craig Carlson, Elisa Halewood, UCSB
Jan-Feb 2005
Feb-Mar 2006
Craig Carlson, Elisa Halewood, UCSB
Jan-Feb 2005
Feb-Mar 2006
This is only the top 10 from one bacterial taxon!
Similar patterns for phytoplankton (and even some Metazoa)
Craig Carlson, Elisa Halewood, UCSB
Images used in presentation were adapted from: |
---|
Line diagram (slide 9): J. A. Fuhrman, J. A. Cram, D. M. Needham, Marine microbial community dynamics and their ecological interpretation. Nature Reviews Microbiology 13, 133–146 (2015). Metagenome image (slide 19): V.A. Iverson et al., Untangling genomes from metagenomes: revealing an uncultured class of marine Euryarchaeota. Science, 335(6068): 587-590 (2012). Anvi'o used to make image on slide 20: https://merenlab.org/software/anvio/; https://peerj.com/articles/1319/ Shallow-water vent image (slides 20, 22): Y. Li et al., Coupled Carbon, Sulfur, and Nitrogen Cycles Mediated by Microorganisms in the Water Column of a Shallow-Water Hydrothermal Ecosystem. Frontiers in Microbiology. 9:2718 (2018). Speciation image (slides 20, 22): R. Stepanauskas et al., Gene exchange networks define species-like units in marine prokaryotes. bioRxiv, 2020.09.10.291518 (2020). Oxygen diagram (slide 25): L.R. Kump, The Rise of Atmospheric Oxygen. Nature, 451(7176): 277-8 (2008). Water column image on slide 30 adapted from: M. Hügler, S. M. Sievert, Beyond the Calvin Cycle: Autotrophic Carbon Fixation in the Ocean. Annu. Rev. Marine. Sci. 3, 261–289 (2011). |
Unless otherwise noted, other images are either my own (un)published work, ⓒWHOI, or public domain images from Wikimedia Commons
In silico
Laboratory
Field work
In silico
Laboratory
Field work
Annie Wing-Yi Lo, CUHK
Microbiology
Ecology & environmental science
Bioinformatics
Pure culture physiology / genetics
Metabolic enzyme function
Visualization
Genomics
Microbiology
Bioinformatics
Environmental science
Long term vision: A lab that links microbial diversity & biogeochemical function in the context of global ecosystem change with modern 'omics-enabled techniques
How do microbial communities influence the Earth System, and vice-versa?