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Genotypic diagnosis of HSV drug resistance can be performed routinely in a clinically relevant time. Nevertheless, data about HSV mutations (polymorphism or resistance) is not exhaustive which hinders the interpretation of such tests. The UL23, UL30 , and UL5 genes are of greatest interest as these encode, respectively, thymidine kinase, DNA polymerase, and helicase, which, if mutated may affect the effectiveness of acyclovir, foscarnet, cidofovir, and helicase-primase inhibitors. The present study aimed to extensively characterize UL23 , UL30 , and UL5 genes. A total of 239 clinical HSV1 recovered from patients admitted to the hematology departments of the Lyon teaching hospitals were included in this single-center retrospective study. Drug resistance was evaluated using the neutral red dye-uptake assay, and sequencing using the Sanger method. Additional information on HSV1 natural polymorphism and resistance is now available. Twenty-two amino acid substitutions related to polymorphism were described on UL23 (E43A, L50M, L68R, Q109K, A133V, A136N, S150L, D258N, S263L, P280S, N301S, A316S, M322L, I326V, D330A, D338H, Q342H, T344I, Q349R, V352L, R370W, E371D), and 6 amino acid substitutions on UL30 (G641R, G645D, E649G, G679D, R681L, I966M). Moreover, the UL23 substitution L242P was added to ACV resistance-related mutations. There were 12 substitutions on UL23 (A37S, V70M, S74L, H151N, P154S, P155Q, L159R, E225L, Y248H, Q270R, N303Y, M372I), and 8 on UL5 (L49I, L138V, S173L, A280T, A575V, V600A, A602T, D862N) that remain of unclear significance with regards to drug resistance. The mean (±standard deviation, SD) number of natural polymorphisms in UL23 was 2.53 (±2.55), in UL30 it was 0.83 (±1.02), and in UL5 it was 5.00 (±1.59) There was no association between HSV1 phenotype and the frequency of substitutions. The results reported herein provide valuable new information concerning HSV1 mutations that will assist the interpretation of genotypic assays. • Exploration of UL23 , UL30 , and UL5 genes involved in drug activities is necessary for reliable genotypic detection. • We report 22 novel UL23 natural polymorphisms. • We report one novel ACV-resistance substitution, and 12 unclear significance mutations. • On UL30, we report 6 novel natural polymorphisms, and on UL5, 8 unclear significance mutations. • No association between HSV1 phenotype and the frequency of substitutions was observed. [ABSTRACT FROM AUTHOR]

• M. tuberculosis (MTB) whole-genome sequencing (WGS) accurately predicts susceptibility for first-line anti-TB drugs. • WGS performs better than drug susceptibility testing (DST) for rifampicin and ethambutol low-level resistance. • Line probe assay is less accurate than WGS for anti-TB drug susceptibility prediction. • WGS could replace phenotypic DST in a country with a low prevalence of resistant MTB. Rapid and correct determination of Mycobacterium tuberculosis (MTB) drug susceptibility is a challenge for tuberculosis (TB) management. Phenotypic drug susceptibility testing (DST) remains the reference method but is time consuming. In this study, genotypic prediction of the first-line drug susceptibility profile obtained by whole-genome sequencing (WGS) was compared with that obtained by phenotypic DST and the line probe assay (LPA). All MTB strains isolated from patients during routine practice at the mycobacteria laboratory of Lyon University Hospital, France, between November 2016 and July 2019 were included (n = 274). Isolates were tested for the first-line drugs using phenotypic DST (Mycobacteria Growth Indicator Tube) and for genotypic prediction of the susceptibility profile with LPA and WGS. Considering phenotypic DST as the reference, WGS predicted resistance to rifampicin, isoniazid, ethambutol and pyrazinamide with sensitivities of 100%, 100%, 100% and 93.8%, respectively, and susceptibility to these drugs with specificities of 99.6%, 100%, 98.5% and 100%, respectively. Performance of the LPA was poorer, with sensitivity of 83.3% for rifampicin and 85.7% for isoniazid resistance. Five isolates were classified as susceptible according to phenotypic DST (1 for rifampicin, 4 for ethambutol) while WGS detected resistance mutations in rpoB and embB genes. WGS, used under appropriate quality-control conditions, has good performance to predict the resistance profile for the four first-line drugs and can correct phenotypic DST results. This study highlights the need for future guidelines recommending WGS as the initial tool in routine practice in areas where the prevalences of TB and drug-resistant MTB are low. [ABSTRACT FROM AUTHOR]