Theres a lot of other factors, but to be very reductionist: in theory yes.
It depends on how accurately the environment was simulated, which includes things such as gravity, protection from cosmic rays(or lack thereof), potentially magnetic fields, light spectrum, etc. It's very difficult to replicate all environmental factors in a lab.
But the biggest concern is that I doubt they have access to a food/energy supply, unless they are photosynthetic, and even that requires things such as oxygen and water which you would be hard pressed to find in a usable form of Mars.
Also, the soil contains perchlorates which are very bad for life as we know it.
Perchlorates in martian soil ?? potential source of energy and oxygen! Rule of thumb - if a reaction is thermodynamically favourable, but there's some kinetic barrier, some microbes could evolve to exploit it. Life doesn't have to be as we know it.
Great, now I’m gonna be looking even more like a crazy person when walking in the woods, as I crawl around sticking my face up to every Turkey Tail (Trametes Versicolor) that I pass looking for these. Jk, thanks for sharing!
You'll have more luck checking Trichaptum - I've never found them on Trametes yet.
There's also a similar looking species, Gliocladium polyporicola, which grows on Stereum hirsutum, so may as well check all the small shelf fungi!
Sounds interesting, but after reading the abstract, I'm no closer to understanding the title than when I started. Could anybody with domain specific knowledge give us a little ELI5?
In plant/pathogen interactions there are two main groups of resistance.
Qualitative- A few genes that inhibit the pathogen almost completely. The pathogen is classified by these resistant genes into races. This is the type of genetics most of you learned with Punnet Squares in school.
Quantitative- what this paper is about. Many genes act in an complex interlinked fashion to control a disease. These genes can be located in groups or scattered around the genome. This has made creating usable molecular markers extremely difficult for breedings efforts. Traditionally you figure out molecular markers by running a few thousand of them and then using statistical models to correlate where the observed phenotype is linked to in the genome. It works really well for 1-2 gene traits. Not very well for 10+ gene traits.
This is basically the researchers saying "fuck it" we'll just sequence the entire genomes to figure this one out.
Mycology
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