The Role of Semidisorder in Temperature Adaptation of Bacterial FlgM Proteins

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Author(s)
Wang, Jihua
Yang, Yuedong
Cao, Zanxia
Li, Zhixiu
Zhao, Huiying
Zhou, Yaoqi
Year published
2013
Metadata
Show full item recordAbstract
Probabilities of disorder for FlgM proteins of 39 species whose optimal growth temperature ranges from 273 K (0é to 368 K (95é 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 45é. Their ability to adapt to high temperatures was achieved through a transition from a fully disordered state with little secondary structure to a semidisordered ...
View more >Probabilities of disorder for FlgM proteins of 39 species whose optimal growth temperature ranges from 273 K (0é to 368 K (95é 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 45é. 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.
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View more >Probabilities of disorder for FlgM proteins of 39 species whose optimal growth temperature ranges from 273 K (0é to 368 K (95é 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 45é. 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.
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Journal Title
Biophysical Journal
Volume
105
Issue
11
Copyright Statement
© 2013 Biophysical Society. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Subject
Physical sciences
Biological physics
Chemical sciences
Biological sciences