Ecosystem-centered microbial
ecology & biogeochemistry
Biology Department, StFX (Apr 4th, 2022)
Jesse McNichol (he/him) : PhD, Biological Oceanography
Postdoctoral Scholar, University of Southern California
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
How do microbial communities influence the Earth System, and vice-versa?
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"
3. Current work
2. HK/Taiwan work
1. PhD work
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Years 1-2 |
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Years 3-4 |
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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
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
An in silico global phytoplankton model (DARWIN project, MIT)
Microbe art: @claudia_traboni
Advantages for mentees:
Kalmbach et al. (2017), arXiv:1703.07309v1
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Years 1-2 |
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Years 3-4 |
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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
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Years 1-2 |
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Years 3-4 |
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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)
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Years 1-2 |
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Years 3-4 |
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Year 5 onwards |
Holistic, process studies require a "model system"
Ecology & environmental science
Microbiology
Bioinformatics
Open ocean systems
Whycocomagh Bay (WB)
Needham & Fuhrman (2016), 10.1038/nmicrobiol.2016.5
Identity + Activity
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Years 1-2 |
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Years 3-4 |
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Year 5 onwards |
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Years 1-2 |
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Years 3-4 |
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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
Model system
In silico
Laboratory
Field work
Holistic ecosystem knowledge
Reductionist (multiple entry points)
Interdisciplinary opportunities
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
Microbe art: @claudia_traboni
p16S
e16S
18S
Microbe art: @claudia_traboni
18S
p16S
e16S
Local work (Whycocomagh or elsewhere):
Global/local work:
Vent work:
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
Techniques for working at the microbial scale
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
Specific FISH labeling + radiocarbon incubations = Carbon fixation rates were measured at the genus level and across different conditions
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
Subsurface C production > 10 - 10,000x photic zone export
Subsurface C production rivals chemosynthetic symbioses
?
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
*CURE = Course-based undergraduate research experience
Departmental / interdepartmental collaborations:
Access work:
Natural history:
*Depending on funding, availability of reference material
Targets for physiological / evolutionary studies
Model-data intercomparison (Yubin Raut, USC)
Modelling marine heterotrophs (Emily Zakem, Carnegie Inst.)
Clade 1:
+ denit, + N2'ase
N source & sink
Clade 2:
- denit, + N2'ase
N source
Diagram = Li et al., 2018.
N2
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: |
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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
Environmental science
Bioinformatics
Evolution, population genetics
Ecosystem modelling, global change biology
Microbial ecology, biogeochemistry
Microbiology
Ecology & environmental science
Bioinformatics
Pure culture physiology / genetics
Metabolic enzyme function
primary productivity, elemental cycling
primary productivity, elemental cycling
effect of anthropogenic pressure on ecosystems