TY - JOUR
T1 - The S-component fold
T2 - a link between bacterial transporters and receptors
AU - Partipilo, Michele
AU - Jan Slotboom, Dirk
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/5/21
Y1 - 2024/5/21
N2 - The processes of nutrient uptake and signal sensing are crucial for microbial survival and adaptation. Membrane-embedded proteins involved in these functions (transporters and receptors) are commonly regarded as unrelated in terms of sequence, structure, mechanism of action and evolutionary history. Here, we analyze the protein structural universe using recently developed artificial intelligence-based structure prediction tools, and find an unexpected link between prominent groups of microbial transporters and receptors. The so-called S-components of Energy-Coupling Factor (ECF) transporters, and the membrane domains of sensor histidine kinases of the 5TMR cluster share a structural fold. The discovery of their relatedness manifests a widespread case of prokaryotic “transceptors” (related proteins with transport or receptor function), showcases how artificial intelligence-based structure predictions reveal unchartered evolutionary connections between proteins, and provides new avenues for engineering transport and signaling functions in bacteria.
AB - The processes of nutrient uptake and signal sensing are crucial for microbial survival and adaptation. Membrane-embedded proteins involved in these functions (transporters and receptors) are commonly regarded as unrelated in terms of sequence, structure, mechanism of action and evolutionary history. Here, we analyze the protein structural universe using recently developed artificial intelligence-based structure prediction tools, and find an unexpected link between prominent groups of microbial transporters and receptors. The so-called S-components of Energy-Coupling Factor (ECF) transporters, and the membrane domains of sensor histidine kinases of the 5TMR cluster share a structural fold. The discovery of their relatedness manifests a widespread case of prokaryotic “transceptors” (related proteins with transport or receptor function), showcases how artificial intelligence-based structure predictions reveal unchartered evolutionary connections between proteins, and provides new avenues for engineering transport and signaling functions in bacteria.
UR - http://www.scopus.com/inward/record.url?scp=85193778240&partnerID=8YFLogxK
U2 - 10.1038/s42003-024-06295-2
DO - 10.1038/s42003-024-06295-2
M3 - Article
C2 - 38773269
AN - SCOPUS:85193778240
SN - 2399-3642
VL - 7
JO - Communications biology
JF - Communications biology
IS - 1
M1 - 610
ER -