کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6369739 1623832 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A coarse-grained biophysical model of sequence evolution and the population size dependence of the speciation rate
ترجمه فارسی عنوان
یک مدل بیوفیزیکی درشت دانه از تکامل دنباله و وابستگی جمعیت به میزان اختصاصی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی


- We explore a biophysical mechanism of speciation.
- We develop a novel coarse-grained stochastic dynamics of sequence evolution.
- Analytical results show that hybrid binding energies diffuse neutrally.
- Sequence entropy and drift poise common ancestors closer to incompatible regions.
- So as population size decreases hybrid incompatibilities arise more quickly.

Speciation is fundamental to understanding the huge diversity of life on Earth. Although still controversial, empirical evidence suggests that the rate of speciation is larger for smaller populations. Here, we explore a biophysical model of speciation by developing a simple coarse-grained theory of transcription factor-DNA binding and how their co-evolution in two geographically isolated lineages leads to incompatibilities. To develop a tractable analytical theory, we derive a Smoluchowski equation for the dynamics of binding energy evolution that accounts for the fact that natural selection acts on phenotypes, but variation arises from mutations in sequences; the Smoluchowski equation includes selection due to both gradients in fitness and gradients in sequence entropy, which is the logarithm of the number of sequences that correspond to a particular binding energy. This simple consideration predicts that smaller populations develop incompatibilities more quickly in the weak mutation regime; this trend arises as sequence entropy poises smaller populations closer to incompatible regions of phenotype space. These results suggest a generic coarse-grained approach to evolutionary stochastic dynamics, allowing realistic modelling at the phenotypic level.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 378, 7 August 2015, Pages 56-64
نویسندگان
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