RT Journal Article SR Electronic T1 Escherichia coli YigI is a conserved ɣ-proteobacterial acyl-CoA thioesterase permitting metabolism of unusual fatty acid substrates JF bioRxiv FD Cold Spring Harbor Laboratory SP 2022.01.10.475765 DO 10.1101/2022.01.10.475765 A1 Michael Schmidt A1 Theresa Proctor A1 Rucheng Diao A1 Peter L. Freddolino YR 2022 UL http://biorxiv.org/content/early/2022/01/12/2022.01.10.475765.abstract AB Thioesterases play a critical role in metabolism, membrane biosynthesis, and overall homeostasis for all domains of life. In this present study, we characterize a putative thioesterase from Escherichia coli MG1655 and define its role as a cytosolic enzyme. Building on structure-guided functional predictions, we show that YigI is a medium- to -long chain acyl-CoA thioesterase that is involved in the degradation of conjugated linoleic acid (CLA) in vivo, showing overlapping specificity with two previously defined E. coli thioesterases TesB and FadM. We then bioinformatically identify the regulatory relationships that induce YigI expression, which include: an acidic environment, high oxygen availability, and exposure to aminoglycosides. Our findings define a role for YigI and shed light on why the E. coli genome harbors numerous thioesterases with closely related functions.Importance Previous research has shown that long chain acyl-CoA thioesterases are needed for E. coli to grow in the presence of carbon sources such as conjugated linoleic acid, but that E. coli must possess at least one such enzyme that had not previously been characterized. Building off of structure-guided function predictions, we showed that the poorly annotated protein YigI is indeed the previously unidentified third acyl CoA thioesterase. We found that the three potentially overlapping acyl-CoA thioesterases appear to be induced by non-overlapping conditions, and use that information as a starting point for identifying the precise functions catalyzed by each such thioesterase, which is an important prerequisite for their industrial application and for more accurate metabolic modeling of E. coli.