The role of semidisorder in temperature adaptation of bacterial FlgM proteins.

Abstract:

:Probabilities of disorder for FlgM proteins of 39 species whose optimal growth temperature ranges from 273 K (0°C) to 368 K (95°C) were predicted by a newly developed method called Sequence-based Prediction with Integrated NEural networks for Disorder (SPINE-D). We showed that the temperature-dependent behavior of FlgM proteins could be separated into two subgroups according to their sequence lengths. Only shorter sequences evolved to adapt to high temperatures (>318 K or 45°C). Their ability to adapt to high temperatures was achieved through a transition from a fully disordered state with little secondary structure to a semidisordered state with high predicted helical probability at the N-terminal region. The predicted results are consistent with available experimental data. An analysis of all orthologous protein families in 39 species suggests that such a transition from a fully disordered state to semidisordered and/or ordered states is one of the strategies employed by nature for adaptation to high temperatures.

journal_name

Biophys J

journal_title

Biophysical journal

authors

Wang J,Yang Y,Cao Z,Li Z,Zhao H,Zhou Y

doi

10.1016/j.bpj.2013.10.026

subject

Has Abstract

pub_date

2013-12-03 00:00:00

pages

2598-605

issue

11

eissn

0006-3495

issn

1542-0086

pii

S0006-3495(13)01193-4

journal_volume

105

pub_type

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