Genomic Studies of Contemporary & Ancient Populations and their Evolution Lab @ University of Chicago 🌎🌍🌏 (Tweets by @MaanasaRaghavan + Raghavan Lab members)

Chicago, IL
Joined January 2019
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🤝🏽 We are so grateful to every community member who partnered with us. We returned to all participant communities to thank donors in person & share results! Paper: tandfonline.com/doi/full/10.... Press release: biologicalsciences.uchicago.…... Happy to answer questions!
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🥛Some communities like the Spitians have eaten wheat & dairy for generations, but others only recently added them after urbanizing; we see this in their Bifidobacterium 🩺 Controlling for community, urban folks show lower diversity & more Megamonas, linked to obesity risk.
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Some key takeaways: 🌏SAMBAR microbiomes are distinct globally, but there's no single "South Asian microbiome." Culturally-specific diets matter! 🫘The Pochury Naga eat Axone, a fermented soybean condiment, and we detect more Bacillus in their gut microbiomes than rest of SAMBAR
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Urbanization & lifestyle transition affect gut microbiomes worldwide, but South Asia has been left out of the conversation. We worked w/ 10 diverse communities to see how microbiomes reflect local diets/dietary shifts. Our dataset: the South Asian MicroBiome ARRay, or SAMBAR🍛
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Thrilled to share our lab's newest paper! A collaboration with @NirajRai3 and team, led by GenSCAPE postdoc Shreya Ramachandran and @NagarjunaPasup5, with our incredible team across India and Sri Lanka! 🧵below on what we found studying South Asian gut microbiomes:
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GenSCAPE (aka Raghavan) Lab 🧬 retweeted
📢Our aDNA study has been published today in @NatureComms! A great collaboration with Ricardo RodríguezVarela, Anders Götherström, @cschlebu & team. Analysis of medieval burials from Ibiza reveals genetic and pathogenic diversity during the Islamic period. nature.com/articles/s41467-0…
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GenSCAPE (aka Raghavan) Lab 🧬 retweeted
Last month, I published part of my PhD thesis in @NatureMedicine : Clinical genetic variation across Hispanic populations in the Mexican Biobank. 🔗 nature.com/articles/s41591-0… ... and we got the cover of the February issue!
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GenSCAPE (aka Raghavan) Lab 🧬 retweeted
Second time the MX biobank project (mxbiobank.org) gets the cover in a @Nature journal! This time in @NatureMedicine highlighting the work by @BarjonCar on Clinical genetic variation in Mexico. Another amazing cover by @mauguz33! nature.com/nm/volumes/32/iss…
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GenSCAPE (aka Raghavan) Lab 🧬 retweeted
In #GENETICS, @JeremyJBerg et al. introduce an evolutionary model of complex disease susceptibility, where a variant's effect on disease risk follows from liability threshold model and a variant's effect on fitness follows from its effect on disease risk. buff.ly/XkB8hPb
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GenSCAPE (aka Raghavan) Lab 🧬 retweeted
🚨 NEW pub in @ScienceMagazine !!! 🚨 🐈‍⬛🐈 The dispersal of domestic cats from North Africa to Europe around 2,000 years ago 🐈‍⬛🐈 Our article provides novel evidence suggesting new hypotheses about the history of domestic cats! 🧬
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GenSCAPE (aka Raghavan) Lab 🧬 retweeted
After a four-year journey, my PhD work is out in @ScienceMagazine! Endless gratitude to the amazing @felix_erc team, all coauthors and collaborators, and my loved ones. Without you all this could not be real! 💛🐱✨ @ERC_Research @NatGeo @unitorvergata2 #aDNA
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6/n This study could not have been possible without the incredible support of the local communities in Himachal Pradesh, our archaeological collaborators, and every co-author who made this work possible - Thank you all! 🥳
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5/n This study provides first insights into the admixture dynamics and adaptive histories at the northern frontier of the Himalayas.
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4/n Some present-day individuals also show admixture with lowland South Asian ancestry, highlighting a dynamic history of genetic continuity and admixture in this region of the Himalayas.
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3/n Our results show that ancient and present-day individuals from the region largely carry Tibetan ancestry (source of high-altitude adaptive introgression signal), with substantial Steppe-related ancestry observed in individuals dating from ~1,300 years ago to present times.
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2/n We generated genome-wide data from 7 ancient (~2300–100 years old) and 10 present-day individuals from the northern Indian Himalayas, and a ~3370-year-old individual from the Central Himalayas in Nepal. 🦴🧬
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