Open ocean systems

  • ASV biogeography
  • Model-data comparison
  • Methods development

Jesse McNichol, St. Francis Xavier University (StFX)

Local model system

  • "Extreme" redox chemistry with climate implications
  • ASV-guided process studies

Postdoc: 2018 - 2023

2023 -

Large-scale diversity: "functional guilds" (e.g. SAR11, Roseobacters, SAR202, SUP05, etc.)

"Microdiverse subclusters":

What level approximates biogeochemical function?

functional trait axis x

functional trait axis x

functional trait axis y

functional trait axis x

functional trait axis x

functional trait axis y

(note: dots represent prokaryotic "microdiverse subclusters")

High functional diversity due to niche differentiation

genetic distance ≈ functional difference

Low functional diversity (neutral genetic processes)

genetic distance

functional difference

Rii et al., 2021

Blue: Strength of environmental selection

Yellow: Strength of diversity-generating processes

Lower functional diversity

A marine ecosystem

Higher functional diversity

A soil ecosystem

functional trait axis x

functional trait axis x

functional trait axis y

functional trait axis x

functional trait axis x

functional trait axis y

Red arrows = stress

Soil ecosystem

Marine ecosystem

Community abundance before stress

Community abundance after stress

Circle size = abundance

functional resilience?

lack of functional resilience?

A soil ecosystem

A marine ecosystem

Rii et al., 2021

Full-length rRNA databases:

  • Ecosystem-specific (non-redundant) database
  • Allows design of specific fluorescent probes for "microdiverse subclusters"
  • Can be combined with activity assays

Dueholm et al. (2020) mBio, e01557-20

Environmental DNA/RNA

Long-read sequencing (e.g. PacBio CCS)

Database of full-length 16S rRNA

Brüwer et al., 2023 doi.org/10.1128/msystems.01287-22

Shah et al., 2019 doi.org/10.1128/mbio.00216-19

Image: Bjarne Hansen

1. Water sampling

3. Compare metabolism between control (in situ) and disturbance

Image: CSIRO

2. Incubation under in situ and "disturbance" conditions (< 24 h)

Sebastián & Gasol (2019), 10.1098/rstb.2019.0083

Image: Bjarne Hansen

1. Water sampling

2. Water incubation (< 8 h)

in situ conditions (control)

"disturbance" condition

3. Compare metabolism between conditions

Bulk rates Single cells
-Dissolved oxygen with optodes -RSG* for single cell respiration rates

*Redox sensor green + rRNA-FISH = taxon-specific rates

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?

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

Microscale ecology & biogeochemistry

CBIOMES 2024 Poster Diagrams

By jcmcnch

CBIOMES 2024 Poster Diagrams

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