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@ARTICLE{Nowak:626505,
author = {Nowak, Jan S. and Olesen, Sune and Tian, Pengfei and
Bærentsen, René L. and Brodersen, Ditlev E. and Otzen,
Daniel E.},
title = {{R}ole of electrostatics in cold adaptation: {A}
comparative study of eury- and stenopsychrophilic triose
phosphate isomerase},
journal = {Biochimica et biophysica acta / Proteins and proteomics},
volume = {1873},
number = {4},
issn = {0006-3002},
address = {Amsterdam [u.a.]},
publisher = {[Verlag nicht ermittelbar]},
reportid = {PUBDB-2025-01458},
pages = {141072},
year = {2025},
abstract = {Psychrophilic (cold-active) organisms have developed
enzymes that facilitate sufficient metabolic activity at low
temperatures to sustain life. This occurs through molecular
adaptations that tend to increase protein flexibility at the
expense of stability. However, psychrophiles also vary in
their growth conditions. Eurypsychrophiles thrive over a
wide temperature range and often prefer temperatures above
20 °C, while stenopsychrophiles grow optimally below 15 °C
and are more narrowly adapted to cold temperatures. To
elucidate differences between these two classes of enzymes,
we here compare the stability and unfolding kinetics of two
orthologues of the basal household enzyme triose phosphate
isomerase, one from the stenopsychrophilic Antarctic
permafrost bacterium Rhodonellum psychrophilum (sTPI) and
the other from the eurypsychrophilic Greenland ikaite column
bacterium Rhodococcus sp. JG-3 (eTPI). Remarkably, sTPI
proved significantly more thermostable and resistant to
chemical denaturation than its eurypsychrophilic
counterpart, eTPI, in the absence of ionic components in
solution, whereas inclusion of electrostatic screening
agents in the form of sodium chloride or the charged
denaturant guanidinium chloride largely cancelled out this
difference. Thus, electrostatics play a prominent role in
stabilizing the stenopsychrophilic sTPI, and a mandatory
low-temperature growth environment does not preclude the
development of considerable thermotolerance for individual
enzymes. We were able to increase the thermostability of
sTPI using an evolutionary machine learning model, which
transferred several sTPI residues into the eTPI active site.
While the stabilizing effect was modest, the combination of
individual mutations was additive, underscoring the
potential of combining multiple beneficial mutations to
achieve enhanced enzyme properties.},
cin = {EMBL-User},
ddc = {570},
cid = {I:(DE-H253)EMBL-User-20120814},
pnm = {6G3 - PETRA III (DESY) (POF4-6G3)},
pid = {G:(DE-HGF)POF4-6G3},
experiment = {EXP:(DE-H253)P-P14-20150101},
typ = {PUB:(DE-HGF)16},
pubmed = {40220927},
UT = {WOS:001472890600001},
doi = {10.1016/j.bbapap.2025.141072},
url = {https://bib-pubdb1.desy.de/record/626505},
}