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SUMMARY:QLS Seminar - Understanding long term eco-evolutionary dynamics in
  microbial ecosystems
DTSTART;VALUE=DATE-TIME:20260921T120000Z
DTEND;VALUE=DATE-TIME:20260921T130000Z
DTSTAMP;VALUE=DATE-TIME:20261030T163220Z
UID:indico-event-11526@ictp.it
DESCRIPTION:\n	One of the major challenges in organismal biology is to und
 erstand long-term eco-evolutionary dynamics in complex ecosystems. Underst
 anding eco-evolution is challenging because community diversity can change
  dramatically over time due to eco-evolutionary feedbacks: new mutants ari
 se during evolution and subsequently cause the extinction of residents via
  ecological interactions. Here\, we simulate eco-evolutionary dynamics in 
 microbial communities using repeated\, sequential invasions by closely rel
 ated mutants in a high-dimensional Microbial Consumer Resource Model (MiCR
 M) with cross-feeding. We identify an evolutionary quasi-steady state that
  arises from the interplay of ecological competition\, metabolic constrain
 ts\, and environmental filtering. In this state\, strains align along an o
 ptimal direction in consumer preference while maintaining diversity in ort
 hogonal directions. We show that this complex behavior can be understood u
 sing a simple stochastic model which predicts the dependence of the evolut
 ionary steady-state diversity on the effect size of mutations and environm
 ental variables. Our results suggest that the long-term eco-evolutionary d
 ynamics of complex microbial ecosystems may be understood in terms of simp
 le emergent models.\n	 \n\n//indico.ictp.it/event/11526/
LOCATION:ICTP Central Area\, second floor\, old SISSA building
URL://indico.ictp.it/event/11526/
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