๐ ๐ง๐ต๐ฎ๐ป๐ธ๐ ๐๐ผ ๐ผ๐๐ฟ ๐๐๐ป๐ฑ๐ถ๐ป๐ด: PhD grant from Institut de l'Ocรฉan @sorbonne-universite.fr.
#MarineMicrobiology #CarbonCycling #ViralEcology #Oceanography #Modelling
๐ ๐ง๐ต๐ฎ๐ป๐ธ๐ ๐๐ผ ๐ผ๐๐ฟ ๐๐๐ป๐ฑ๐ถ๐ป๐ด: PhD grant from Institut de l'Ocรฉan @sorbonne-universite.fr.
#MarineMicrobiology #CarbonCycling #ViralEcology #Oceanography #Modelling
๐ฅ ๐๐๐๐ต๐ผ๐ฟ๐: @maxinepruvot.bsky.social, Bart Haegeman, @jouxf.bsky.social and @d2mory.bsky.social.
๐๏ธ๐๐ป๐๐๐ถ๐๐๐๐ถ๐ผ๐ป๐: @lomicumr7621.bsky.social , LBBM, @cnrs-insu.bsky.social, @cnrsbiologie.bsky.social, @cnrsecologie.bsky.social and @sorbonne-universite.fr.
๐ง๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐: This work provides clarifications for interpreting and reconciling diverse estimates of viral impacts on marine carbon fluxes.
๐๐ฒ๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ (3/3): ๐ฉ๐ถ๐ฟ๐๐ ๐ฟ๐ฒ๐บ๐ผ๐๐ฎ๐น
Comparing models with and without viruses does not reliably predict viral lysis impacts on ecosystem responses, as carbon pathways reorganize dynamically.
๐๐ฒ๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ (2/3): ๐ ๐ผ๐ฑ๐ฒ๐น ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ฟ๐ถ๐๐ผ๐ป
Published theoretical estimates of viral contributions to carbon cycling span nearly the full range of possible values, highlighting substantial uncertainty related to parameterization and ecological variability.
๐๐ฒ๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ (1/3): ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐๐ฎ๐น ๐ฐ๐น๐ฎ๐ฟ๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ผ๐ป ๐๐ถ๐ฟ๐๐ ๐น๐๐๐ถ๐ % Virus-induced mortality rates (process-based) and virus-mediated carbon fluxes (flux-based) are often conflated in the literature and cannot be directly compared.
In this work, we integrate dynamical models, flux networks, and experimental assays (e.g., dilution assays) into a common mathematical framework.
Excited to share our grad student Maxine Pruvotโs (@maxinepruvot.bsky.social) first PhD preprint: ๐ฅ๐ฒ๐๐ถ๐๐ถ๐๐ถ๐ป๐ด ๐บ๐ฒ๐๐ต๐ผ๐ฑ๐ ๐ณ๐ผ๐ฟ ๐พ๐๐ฎ๐ป๐๐ถ๐ณ๐๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ฟ๐ผ๐น๐ฒ ๐ผ๐ณ ๐๐ถ๐ฟ๐ฎ๐น ๐น๐๐๐ถ๐ ๐ถ๐ป ๐บ๐ฎ๐ฟ๐ถ๐ป๐ฒ ๐ฐ๐ฎ๐ฟ๐ฏ๐ผ๐ป ๐ฐ๐๐ฐ๐น๐ถ๐ป๐ด
๐ Full text: www.biorxiv.org/content/10.64898/2026.02.12.705374v1
๐ง๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐: This work provides clarifications for interpreting and reconciling diverse estimates of viral impacts on marine carbon fluxes.
๐๐ฒ๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ (3/3):
๐ฉ๐ถ๐ฟ๐๐ ๐ฟ๐ฒ๐บ๐ผ๐๐ฎ๐น: Comparing models with and without viruses does not reliably predict viral lysis impacts on ecosystem responses, as carbon pathways reorganize dynamically.
๐๐ฒ๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ (2/3):
๐ ๐ผ๐ฑ๐ฒ๐น ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ฟ๐ถ๐๐ผ๐ป: Published theoretical estimates of viral contributions to carbon cycling span nearly the full range of possible values, highlighting substantial uncertainty related to parameterization and ecological variability.
๐๐ฒ๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ (1/3):
๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐๐ฎ๐น ๐ฐ๐น๐ฎ๐ฟ๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ผ๐ป ๐๐ถ๐ฟ๐๐ ๐น๐๐๐ถ๐ %: Virus-induced mortality rates (process-based) and virus-mediated carbon fluxes (flux-based) are often conflated in the literature and cannot be directly compared.
In this work, we integrate dynamical models, flux networks, and experimental assays (e.g., dilution assays) into a common mathematical framework.
Thanks for the great collaboration with Prof. Hiro Ogata and Dr. Hisashi Endo at the Institute of Chemical Research of @kyotouniversity.bsky.social; Prof. @joshuasweitz.bsky.social at the @umaryland.edu; and our funders, The @simonsfoundation.org and the ICM at Kyoto University ๐
We integrated mathematical modelling with in situ metagenomics using the TARA Oceans and TARA Arctic datasets, and we recapitulated virus presence and absence in the ocean through a model describing temperature-driven cell-based interactions between viruses and phytoplankton.
Happy to share our new work on Temperature-driven biogeography of marine viruses infecting Micromonas:
academic.oup.com/ismecommun/a...
PhD opportunity in marine virus eco-evo dynamics
Joint CNRSโUBC program: @cnrsbiologie.bsky.social ร @ubcoceans.bsky.social
๐ Banyuls-sur-Mer, France (LBBM UMR8176)
๐๏ธ Start: Oct 2025 | Duration: 3 years
๐ Skills: Modelling, Bioinformatics, Marine Virology
๐ Apply: emploi.cnrs.fr/Offres/Docto...
Grateful for the opportunity to work with such an amazing team, to our collaborators around the ๐ and the Nomis foundation for supporting our work.
New insights into the diversity and biogeography of bacteria in glacier-fed streams across 11 mountain ranges, out now in @nature.com
Cold Surface Waters of the Sub-Antarctic Pacific Ocean Support High Cyanophage Abundances and Infection Levels enviromicro-journals.onlinelibrary.wiley.com/doi/10.1111/... @biologytechnion.bsky.social
Happy to share that our work on viral infection of cyanobacteria in the Southern Ocean has been published ๐ฆ โ๏ธ๐
doi.org/10.1111/1462...
Thank you to all the collaborators in this project
@d2mory.bsky.social @joshuasweitz.bsky.social
@biologytechnion.bsky.social
Japan w/ Hisashi Endo and Hiroyuki Ogata at ICR Kyoto Univ, USA w/ @joshuasweitz.bsky.social at Univ. of Maryland and France w/ @cnrsbiologie.bsky.social, @sorbonne-universite.fr, @sbroscoff.bsky.social, LBBM at OOB Banyuls and Tara Oceans Foundation.
Our results highlight that temperature-driven cellular mechanisms can drive the community dynamics and biogeography of marine viruses.
This multidisciplinary study has been possible through great collaborations involving 3 continents: (5/6)
We used a mathematical model describing the temperature-driven virus-host dynamics to predict MpV-s distribution. We found that viral abilities to lyse and infect were good predictors of MpV-s presence and absence. (4/6)
By reconstructing virus phylogeny, we found that MpV-s were clustered into cryophile groups, growing mainly at low temperature below 10ยฐC, or cryo-mesophile groups, growing from cold to more than 20ยฐC. (3/6)
We focused on prasnoviurses infecting Micromonas (MpV), a picoeukaryote genus distributed from poles to tropics. We explored the distribution of isolated MpV-s in Tara datasets and highlighted that temperature is the main descriptor of their community composition. (2/6)
Delighted to share our new preprint on bioRxiv:
www.biorxiv.org/content/10.1...
Where we integrated viral metagenomics and mathematical modelling to explore the temperature-driven biogeography of marine giant viruses - where do they live and why? (1/6)
Predicted infections with phage/host mutation models
Delighted to share this paper out via Virus Evolution:
academic.oup.com/ve/advance-a...
in which we develop and assess a quantitative method to infer phage and bacterial mutations driving changes in infection phenotypes arising in coevolutionary dynamics.
a ๐งต about people (and some science)
We are delighted to announce that the registrations are now open for the 12th Aquatic Virus Workshop (AVW12), to be held in Banyuls-sur-Mer (France), May 5-9 2025. Consider to register early because we have limited space!
avw12.sciencesconf.org
avw12.sciencesconf.org/data/header/...