Latest in #GENETICS from @ccarolinaneto: A new panel of genetically diverse recombinant #Arabidopsis lines from the Cape Verde Islands helps uncover genetic variants of adaptation that were difficult to map in this island population. 🌱 🏝️
🔗 https://t.co/q8klnVehCR
Excited to share our new paper on Arabidopsis adaptation in the Cape Verde Islands!! 🌱🌋
We developed a new multiparent intercross population to uncover genetic variants that were previously difficult to map. Here’s a quick overview 🧵
@GeneticsGSA https://t.co/At45uM6FKj
Overall, this new intercross population provides a complementary resource for dissecting the genetics of adaptation — in Cape Verde and potentially beyond.
If you’re interested in trait architecture, island evolution, or multiparent populations, I hope you’ll find it useful.
Genetic Architecture of Flowering Time Differs Between Populations With Contrasting Demographic and Selective Histories https://t.co/22Mq59Wae1 #science#evolution#biology#genome
Great to see that this work shared by @ccarolinaneto at our #GenomicForecasting Symposium last year is out!
“Parallel reduction in flowering time from de novo mutations enable evolutionary rescue in colonizing lineages”🌱👀
Neat example of adaptation at the molecular level:
"we identified a single peak containing a nonsense variant, K232X, in FRIGIDA, which results in faster flowering through loss of the vernalization (cold) requirement"
Parallel loss of FRI and FLC function reduces time to flowering and drives adaptation in a drought prone environment for Arabidopsis.
@AndreaFulgione@ccarolinaneto@ahancoc
https://t.co/GQMoVjY61u