Krzysztof T Jurdzinski
@ktjurdzinski.bsky.social
PhD student at Anders Andersson's lab at KTH/SciLifeLab, Stockholm. Microbial ecologist, evolutionary biologist, bioinformatician.
https://ktjmicrobes.com/
https://ktjmicrobes.com/
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:
Inspired by your comment, I plugged it into Bayes:
October 15, 2025 at 9:32 PM
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:
Inspired by your comment, I plugged it into Bayes:
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)
(Seen at Fotografiska Stockholm earlier this year, found online thanks to the original post at hannasbread.main.jp/gifzya, link apparently inactive)
July 8, 2025 at 12:36 PM
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)
(Seen at Fotografiska Stockholm earlier this year, found online thanks to the original post at hannasbread.main.jp/gifzya, link apparently inactive)
And this is for metabarcoding
February 7, 2025 at 11:04 AM
And this is for metabarcoding
This is for amplicon sequencing
February 7, 2025 at 11:03 AM
This is for amplicon sequencing
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.
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.
January 31, 2025 at 1:13 PM
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.
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.
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.
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.
January 31, 2025 at 1:12 PM
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.
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.
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...
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...
January 31, 2025 at 1:12 PM
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...
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...
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...
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...
January 31, 2025 at 1:12 PM
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...
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...
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.
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.
January 31, 2025 at 1:11 PM
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.
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.
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.
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.
January 31, 2025 at 1:10 PM
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.
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.
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.
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.
January 31, 2025 at 1:10 PM
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.
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.
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...
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...
January 31, 2025 at 1:05 PM
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...
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...
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.
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.
January 31, 2025 at 1:05 PM
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.
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.
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.
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.
January 31, 2025 at 1:04 PM
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.
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.
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.
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.
January 31, 2025 at 1:04 PM
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.
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.
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.
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.
January 31, 2025 at 1:03 PM
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.
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.
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...
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...
January 31, 2025 at 12:57 PM
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...
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...
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.
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.
January 31, 2025 at 12:55 PM
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.
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.
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.
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.
January 31, 2025 at 12:55 PM
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.
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.
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.
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.
January 31, 2025 at 12:52 PM
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.
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.
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.
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.
August 15, 2024 at 10:11 AM
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.
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.
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).
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).
August 15, 2024 at 10:11 AM
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).
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).
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.
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.
August 15, 2024 at 10:10 AM
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.
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.
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.
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.
August 15, 2024 at 10:10 AM
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.
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.