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The Pleiotropy Hypothesis of Molecular Evolution
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Abstract
Under the nearly-neutral model of protein evolution, the evolutionary rate is virtually determined by the selection intensity (
S
), which can be decomposed into
S
=-
K
×
B
0
, where
K
is the gene pleiotropy defined by the number of fitness-related traits (molecular phenotypes) and
B
0
is the baseline of the selection intensity. Hence, the variation of
S
(sequence conservation) among genes may have two resources: one is the variation of gene pleiotropy among genes (
K
-mode), and the other is the variation of baseline intensity among genes (
B
-mode). While
K
can be effectively estimated (denoted by
K
e
) based on the phylogenetic analysis of protein sequences, the correlation between
K
e
and empirical pleiotropy measures remains uninvestigated. In this paper, we show positive correlations of effective gene pleiotropy with protein-protein interactions, expression broadness, enzyme connections, and involved biological processes. We thus propose the pleiotropy hypothesis (
K
-mode), suggesting that the rate variation among proteins is mainly due to the variation of gene pleiotropy, revealing a sophisticated display of multiple gene functionality.
Title: The Pleiotropy Hypothesis of Molecular Evolution
Description:
Abstract
Under the nearly-neutral model of protein evolution, the evolutionary rate is virtually determined by the selection intensity (
S
), which can be decomposed into
S
=-
K
×
B
0
, where
K
is the gene pleiotropy defined by the number of fitness-related traits (molecular phenotypes) and
B
0
is the baseline of the selection intensity.
Hence, the variation of
S
(sequence conservation) among genes may have two resources: one is the variation of gene pleiotropy among genes (
K
-mode), and the other is the variation of baseline intensity among genes (
B
-mode).
While
K
can be effectively estimated (denoted by
K
e
) based on the phylogenetic analysis of protein sequences, the correlation between
K
e
and empirical pleiotropy measures remains uninvestigated.
In this paper, we show positive correlations of effective gene pleiotropy with protein-protein interactions, expression broadness, enzyme connections, and involved biological processes.
We thus propose the pleiotropy hypothesis (
K
-mode), suggesting that the rate variation among proteins is mainly due to the variation of gene pleiotropy, revealing a sophisticated display of multiple gene functionality.
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