Affiliation:
1. School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
2. Laboratory of Biotechnology, Chulabhorn Research Institute, Bangkok, Thailand
3. University of Bristol Proteomics Facility, Bristol, United Kingdom
4. University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, United Kingdom
Abstract
ABSTRACT
Nitrofurantoin resistance in
Escherichia coli
is primarily caused by mutations damaging two enzymes, NfsA and NfsB. Studies based on small isolate collections with defined nitrofurantoin MICs have found significant random genetic drift in
nfsA
and
nfsB
, making it extremely difficult to predict nitrofurantoin resistance from whole-genome sequence (WGS) where both genes are not obviously disrupted by nonsense or frameshift mutations or insertional inactivation. Here, we report a WGS survey of 200
oqxAB
-negative
E. coli
from community urine samples, of which 34 were nitrofurantoin resistant. We characterized individual non-synonymous mutations seen in
nfsA
and
nfsB
among this collection using complementation cloning and NfsA/B enzyme assays in cell extracts. We definitively identified R203C, H11Y, W212R, A112E, and A112T in NfsA and R121C, Q142H, F84S, P163H, W46R, K57E, and V191G in NfsB as amino acid substitutions that reduce enzyme activity sufficiently to cause resistance. In contrast, E58D, I117T, K141E, L157F, A172S, G187D, and A188V in NfsA and G66D, M75I, V93A, and A174E in NfsB are functionally silent in this context. We identified that 9/166 (5.4%) nitrofurantoin-susceptible isolates were “pre-resistant,” defined as having loss of function mutations in
nfsA
or
nfsB
. Finally, using NfsA/B enzyme assays and proteomics, we demonstrated that 9/34 (26.5%)
ribE
wild-type nitrofurantoin-resistant isolates also carried functionally wild-type
nfsB
or
nfsB
/
nfsA
. In these cases, NfsA/B activity was reduced through downregulated gene expression. Our biological understanding of nitrofurantoin resistance is greatly improved by this analysis but is still insufficient to allow its reliable prediction from WGS data.
Funder
UKRI | Medical Research Council
UKRI | Natural Environment Research Council
National Institute for Health and Care Research
Llywodraeth Cymru
UKRI | MRC | Medical Research Foundation
Publisher
American Society for Microbiology