The Indian National Young Academy of Science (INYAS) conducted a survey of ~800 young scientists establishing an independent research career in India. The report and associated recommendations will hopefully guide positive change. Read the full report here.
I am very pleased to announce the next iteration of our School on population genetics and evolution, co-organized with Kavita Jain (JNCASR) and generously hosted by ICTS Bangalore. The school will take place in a hybrid format from 17–28 Jan 2022, with covid precautions in place. The target audience is advanced PhD students and postdocs... Continue Reading →
This post is delayed by about 10 months because we couldn't have a nice farewell for Rittik during the pandemic. But he was back in the lab for a bit and we were able to do things properly this time around. We are very happy to report that Rittik has joined as a member of... Continue Reading →
Arun's paper reporting the detailed costs and benefits of evolved immune priming is now published! In an exciting earlier study, we had found that flour beetles exposed to the pathogen Bacillus thuringiensis adapted rapidly via the evolution of either immune priming or pathogen resistance. The new work – led by Arun (now at Edinburgh University)... Continue Reading →
Read Laasya's short interview about her work and career goals, and our paper on the phenotypic effects of mistranslation.
We are very proud of Vrinda, who successfully defended her PhD thesis following a fantastic seminar. Vrinda worked with long-term selection lines of beetles adapting to new resources to understand the factors that explain population dynamics during adaptation.
We're starting a series of reviews of the lab's favourite papers. Here's the first review by Shyam Buddh, featuring the famous LTEE lines. Enjoy! Dynamics of adaptation and diversification: a 10,000-generation experiment with bacterial populations R E Lenski, M Travisano Proceedings of the National Academy of Sciences Jul 1994, 91 (15) 6808-6814 If we classify... Continue Reading →
AdaptationLab 