TY - JOUR
T1 - Dynamics of local adaptation in a stable environmental gradient
AU - Memet, Edvin
AU - Wingreen, Ned S.
AU - Meir, Yigal
N1 - Publisher Copyright: © 2021 authors. Published by the American Physical Society.
PY - 2021/12
Y1 - 2021/12
N2 - Microbial populations in nature generally inhabit extended environments with substantial spatial variation in ecological factors: light intensity in the ocean, temperature in geothermal hot springs, or a variety of chemical concentrations including salt and pH. In such continuously varying environments, it remains unclear why a finite number of subpopulations form and how this number is set. Here we show that a model of asexual evolution in a gradient maps onto a no-gradient neutral model, and by mapping this model to a gas of kinks and antikinks, we derive the full distribution of the number of coexisting lineages, and their correlation functions. Testing these predictions in controlled laboratory experiments would provide valuable insights into many real-world microbial communities.
AB - Microbial populations in nature generally inhabit extended environments with substantial spatial variation in ecological factors: light intensity in the ocean, temperature in geothermal hot springs, or a variety of chemical concentrations including salt and pH. In such continuously varying environments, it remains unclear why a finite number of subpopulations form and how this number is set. Here we show that a model of asexual evolution in a gradient maps onto a no-gradient neutral model, and by mapping this model to a gas of kinks and antikinks, we derive the full distribution of the number of coexisting lineages, and their correlation functions. Testing these predictions in controlled laboratory experiments would provide valuable insights into many real-world microbial communities.
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U2 - 10.1103/PhysRevResearch.3.L042026
DO - 10.1103/PhysRevResearch.3.L042026
M3 - Article
SN - 2643-1564
VL - 3
JO - Physical Review Research
JF - Physical Review Research
IS - 4
M1 - L042026
ER -