Dan Kliebenstein

@spicybotrytis.bsky.social

Dogs, Horses and Gardening, with a side of research on complexity and metabolic warfare in plants

Interesting thing (based on my own self thinking which may absolutely not apply beyond ) about the use of AI in manuscript or proposal reviews. As the writer of said manuscript or proposal, I don't need three paragraphs on what we said. I need a paragraph on why you think a specific request is key.

If you make a mutation leading to a metabolite building to higher levels creating changes in growth, etc. Does this inherently mean autotoxicity? Are there alternative options like allosteric flux issues, regulatory effects, etc? Or are they all autotoxicity and underneath is the mechanism?

I understand putting species information in front of a gene name. But is two letters enough? For example, is AtMYC2 in Arabidopsis thaliana, Amaranthus thunbergii, Aquilegia taygetea, Aethionema thesiifolium, Alyssum taygeteum or any of the others? We probably need some other way to standardize.

So if no targeted assay finds things like imidazole or purine alkaloids in a plant species. But an untargeted LC-MS suggests they are there, what should we believe? Especially if the untargeted never comments on the fact that the targeted studies never find them?

Conundrum, if AI speeds up everything in biology, then we will need a ton more wet lab people to do the research. Unless one posits all knowledge can be obtained and tested in single celled organisms grown by a robot in an incubator. Don’t laugh you know at least one person that thinks this.

Is academics really the issue with the translation/product transition? From what I have seen it is the corporate accountants and investors that punish failure so hard that it dramatically increases the allure of the simple solution snake oil, even when it is obvious not to work.

For todays fun and excitement it is time to work through pre-requisite appeals for a large required lecture class. Most of them are just transfer classes that campus doesn't work to automate translating to simplify effort all around.

Necessary and sufficient is a gold standard in genetics thought to mean key importance. Which often becomes a way to say we know it all so why do more. However, necessary and sufficient is only true in the specific background tested, so likely way more going on.

Dream - Setting: Faculty meeting Date: Fall 2036 Topic: Reading [Prof 1] AI agents have such lovely speaking voices and can read us any text. Why should we teach reading. We can always have AI teach us if we need to learn. [Me] What the .... (wakes up) was that a nightmare or just prediction?

Random thought question (or if there is data even better). Mutate 100 random TFs and mutate 100 random enzymes. Make the single gene mutations (lets not worry about epistais). Do scRNAseq or bulk transcriptomics. Which set of mutations will alter the accumulation of more transcripts?

Oddly as someone originally trained as a biochemical geneticist in the classical fashion, I think I am getting inured to gene based studies and the idea that just because genes and connections have been found that we learned something. Or is that the original training coming through?

We are deeply saddened to share that Michael Freeling passed away on 7/20/2026 after a year-long battle with cancer. Our deepest condolences go to his family, friends, colleagues, and the many students he inspired. We will share additional memorial information soon.

We are very sorry to share the sad news that Michael Freeling passed away on 7/20/2026 after a year long battle with esophageal cancer.  Mike was a long-time faculty member in the Plant and Microbiology Department at University of California-Berkeley, a groundbreaking plant geneticist, and an inspiring teacher and mentor to over two dozen Ph.D. students, four dozen postdocs, and countless undergraduates. He was best known for pioneering work on maize anaerobic metabolism and gene regulation, transposon biology, developmental genetics of the maize ligule, and the discovery of biased gene retention following whole-genome duplications in plants. Mike was hired by UC-Berkeley as an assistant professor straight out of graduate school in 1973, and he was promoted to Associate Professor in 1979 and to full professor in 1984. He was selected as a Guggenheim Fellow in 1980, elected to the National Academy of Sciences in 1994, and won the McClintock Prize for Plant Genetics and Genome Studies in 2017. Mike taught genetics, comparative genomics and scientific reasoning to our graduate students, and he also taught a popular genetics course for non-majors that had various titles over the years but was affectionately known as “Genetics for Poets.”  Our deepest condolences go out to his family, friends and many colleagues.