iiinova — where your digital self keeps evolving

Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/06/2026

This is something we worked on in a series of "mini-hackathons", where we would meet for a whole working day and work on the project together. All the first-co-authors (random order) and the corresponding Anders were present at all the sessions, as pictured here.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/10/2025

That's a good point. However, I got the information that you have a boy, regardless how I got it. And that changes the probabilities. Inspired by your comment, I plugged it into Bayes:

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 08/07/2025

That reminds me of this cover of the TOILETPAPER magazine from years ago... (Seen at Fotografiska Stockholm earlier this year, found online thanks to the original post at hannasbread.main.jp/gifzya, link apparently inactive)

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

8/10 We propose that protists are ecologically less sensitive to salinity thanks to compartmentalization, as key bioenergetic processes are diverted from the cell membrane. Additionally, further and more frequent dispersal of bacteria might favor colonization over local adaptation.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

7/10 So, salinity explained more bacterial than protist beta diversity but not alpha diversity. This does NOT mean that rare bacteria were less affected by salinity than rare protists. Both data distribution and Bayesian modeling confirmed that protists were more likely to cross a salinity barrier.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

6/10 The seasonal changes in bacterial alpha diversity could be explained by convective vertical mixing. We detect influx of deepwater taxa to the surface in winter using data from different depths from a previous paper: dx.doi.org/10.3389/fmic...

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

5/10 Protists were more diverse in near-marine salinities. Meanwhile, bacterial alpha diversity patterns were dominated by seasonality and correlated best with dissolved inorganic nitrogen (DIN) out of selected variables...

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

4/10 Apart from the aforementioned, published dataset, we also used new data from part of the region and years 2015-2017. The community composition showed high interannual stability, despite technical changes affecting detection of rare taxa.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

3/10 Salinity effects dominate bacterial community composition. This is not the case for protists, while other environmental factors were at least as impactful as for bacteria. Moreover, there was a clear divide between communities from low (<9 PSU) and high (> 15 PSU) brackish salinities.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

2/10 This work is based on trial integration of DNA metabarcoding into the Swedish marine coastline monitoring program. Data from 2019-2020: www.nature.com/articles/s41... Using spike-in DNA we captured the well-established (and less-known) dynamics of major microbial plankton groups.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

6/11 The seasonal changes in bacterial alpha diversity could be explained by convective vertical mixing. We detect influx of deepwater taxa to the surface in winter using data from different depths from a previous paper: dx.doi.org/11.3389/fmic...

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

5/11 Protists were more diverse in near-marine salinities. Meanwhile, bacterial alpha diversity patterns were dominated by seasonality and correlated best with dissolved inorganic nitrogen (DIN) out of selected variables.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

4/11 Apart from the aforementioned, published dataset, we also used new data from part of the region and years 2015-2017. The community composition showed high interannual stability, despite technical changes affecting detection of rare taxa.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

3/11 Salinity effects dominate bacterial community composition. This is not the case for protists, while other environmental factors were at least as impactful as for bacteria. Moreover, there was a clear divide between communities from low (<9 PSU) and high (> 15 PSU) brackish salinities.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

2/11 This work is based on trial integration of DNA metabarcoding into the Swedish marine coastline monitoring program. Data from 2019-2020: www.nature.com/articles/s41... Using spike-in DNA we went beyond relative values and could capture well-established dynamics of microbial plankton groups.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

5/11 Protists were more diverse in near-marine salinities. Meanwhile, bacterial alpha diversity patterns were dominated by seasonality, correlating best with dissolved inorganic nitrogen (DIN) out of selected variables...

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

3/11 Salinity effects dominate bacterial community composition. This is not the case for protists, while other environmental factors had at least similar impact on the ukaryotes. Moreover, there was a clear divide between communities from low (<9 PSU) and high (> 15 PSU) brackish salinities.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 31/01/2025

2/11 This work is based on trial integration of DNA metabarcoding into the Swedish marine coastline monitoring program. Data from 2019-2020: www.nature.com/articles/s41... We used spike-in DNA, going beyond relative values and capturing well- and less-known dynamics of microbial plankton groups.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/08/2024

9/10 We propose that protists are ecologically less sensitive to salinity thanks to compartmentalization. Most importantly, bioenergetic processes in eukaryotic cells happen in the intracellular environment, and are not directly affected by external salt concentrations and pH.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/08/2024

8/10 We further looked at the salinity divide. Both data distribution and Bayesian modeling confirmed that protists were more likely to cross the salinity barrier (i.e., be present in both low (<9 PSU) and high (>15 PSU) salinities).

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/08/2024

7/10 A custom, strict co-occurrence analysis showed three clusters of multiple, associated taxa. They form plausible interaction networks that might amplify the effects of salinity on bacterial communities, as the sensitivity of one taxon affects dependent taxa.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/08/2024

6/10 Apart from the aforementioned, published dataset, we also used new data from part of the region and 2015-2017. The community composition showed high interannual stability, despite technical changes affecting detection of rare taxa.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/08/2024

5/10 Bacterial alpha diversity was best correlated with dissolved inorganic nitrogen (DIN). In high DIN, we found an overrepresentation of families of plausible nitrifiers and denitrifiers. Meanwhile, protists were more diverse in near-marine, high brackish salinities.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/08/2024

4/10 Still, we could find abundant bacterial but not protist families with analogous seasonal patterns across the monitored area.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/08/2024

3/10 Salinity effects dominated bacterial community composition. This was not the case for protists, while other factors had at least similar effects. Moreover, there was a clear divide between communities from low (<9 PSU) and high (> 15 PSU) brackish salinities.

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Krzysztof T Jurdzinski @ktjurdzinski.eurosky.social · 15/08/2024

2/10 We used DNA metabarcoding data collected along the Swedish marine coastline monitoring program. Data from 2019-2020: nature.com/articles/s41... We used spike-in DNA allowing us to go beyond relative values and capture the dynamics of major microbial plankton groups.

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