Still, since the world seems to have kept turning without my replies, I’m adopting a slower, more intentional approach to email & communication from now on. There’s a lesson in everything, if we pay attention to it. 😅

(4/4) Late registration + poster submissions remain open until we hit capacity.

👉 Register: amc25.leibniz-fli.de/registration/
👉 Full program: amc25.leibniz-fli.de/speakers-pro...

#Microbiome #Aging #Ageing #SystemsBiology #Metagenomics #Neuroscience #AMC2025 #Jena

(3/4) 🤝 Networking & “Meet the Speaker” sessions
🔭 “Voyager” dome show at the Zeiss-Planetarium Jena
🍴 Conference dinner with integrated networking
🥇 Awards for best poster, talk, and “top connector”
💼 Sponsor interactions + sponsor bingo
👇

(2/4) 🗣️ Keynotes: Karine Clément, Niranjan Nagarajan (online), Gianni Panagiotou
🗣️ Invited talks: Eran Blacher, Reena Debray, Daniel Erny, Christoph Kaleta, Yvonne Nolan, Veronica Witte, Bahtiyar Yilmaz
🗣️ Fantastic selected talks from abstracts
📊 Interactive poster sessions

👇

Come find us if you are interested in applications of computational biology and statistical methods on #aging and #microbiome research!

Looking forward! #ISMBECCB2025 (3/3)

I will then participate in the ISCBSC Symposium, joining a panel discussion on multi-omics, organised by the amazing student group of ISCB.

Tayyaba Alvi and Mark Olenik will be presenting their posters in the Microbiome and Machine Learning COSI tracks. #ISMBECCB2025 (2/3)

Read the full study here: biorxiv.org/content/10.1...

We'd love feedback- especially from folks working on microbiomes, host aging, or evolutionary ecology! DMs open, feedback welcome!

Interestingly, Acetobacter sp. have been linked to positive effects on female reproduction. We find that in males, certain Acetobacter taxa are associated with reduced lifespan and accelerated aging, suggesting potential sex-specific or antagonistic roles.

While microbiota diversity changed with age, we found no strong link between diversity and male fitness. But specific taxa, especially Acetobacter, were consistently associated with aging-related traits.

4️⃣ Early-life rel. abd. of A. indonesiensis ~ reproductive senescence
5️⃣ Microbiota composition predicts chronological age (>85% accuracy) but not life history traits (possibly due to design/sample size)

Main findings:
1️⃣ Age-related shifts in the relative abundance of Acetobacter, Ralstonia, and Leuconostoc
2️⃣ Late-life rel. abundance of A. ascendens & A. pasteurianus ~ shorter lifespan
3️⃣ Early-life rel. abd. of A. ascendens ~ faster functional decline

Using 22 DGRP lines, we measured:
- Lifespan
- Early/late reproduction
- Early/late climbing performance
- Gut microbiota (16S rRNA) at days 5 & 26

We then asked: How does microbiota composition change with age and how does this relate to male life-history?