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PubMed2025

Genomic characterisation of recurrent Mycobacterium avium isolates from chronically infected patients reveals patterns of within-host evolution.

BACKGROUND: Mycobacterium avium complex causes chronic and difficult-to-treat infection in vulnerable patient groups, and incidence is increasing worldwide. Whole genome sequencing has the potential to reveal new information about how M. avium persists over time in the human lung. METHODS: We analysed the genomes of 287 isolates of M. avium that were sampled longitudinally from 56 patients. Our dataset included 50 newly sequenced genomes from a cohort of 20 patients from Ireland who were sampled for up to 10 years, and we compared these to 237 published genomes from 2 pre-existing cohorts from Europe to evaluate strains from Ireland in a wider context. Additionally, we performed a combined analysis across the 3 cohorts to examine the changes that occurred over the course of infection. RESULTS: We identified 2 instances where strains from Ireland clustered with strains from Europe within a 13-SNP threshold, supporting previous observations that dominant circulating clones of M. avium are present internationally. Across the 3 cohorts, we found that the communities of M. avium evolved over time within individual hosts, and we report that acquisition of new strains is frequent. Importantly, our findings suggest that M. avium may adapt to the conditions that it faces in the host, with evidence of positive selection of 13 distinct mycobacterial genes. Notably, multiple virulence-associated genes were under selection, including genes that could confer resistance to antibiotics and host defence mechanisms. CONCLUSIONS: Whole genome sequencing provides novel insights into within-host evolution of M. avium and highlights potentially important mycobacterial strategies to enhance persistence that may provide new targets for therapeutic investigation.

Humans↗

PubMed2025

SARS-CoV-2 genomic diversity and within-host evolution in individuals with persistent infection in the UK: an observational, longitudinal, population-based surveillance study.

BACKGROUND: Persistent SARS-CoV-2 infections in hospitalised immunocompromised individuals are known to facilitate accelerated within-host viral evolution, potentially contributing to the emergence of highly divergent variants. However, little is known about the evolutionary dynamics and transmission risks of persistent infections in the general population. We aimed to characterise the within-host evolution of SARS-CoV-2 during persistent infections identified through a large community surveillance study. METHODS: We used data from the Office for National Statistics COVID-19 Infection Survey (ONS-CIS), a large-scale, longitudinal, population-based surveillance study conducted in the UK from April, 2020, to March, 2023. For this analysis, we focused on infections with high viral load (cycle threshold ≤30) and available genome sequences, from seven major SARS-CoV-2 lineages (alpha, delta, BA.1, BA.2, BA.4, BA.5, and XBB). ONS-CIS participants were randomly selected from the general population and tested regularly by RT-PCR, regardless of symptoms. We defined persistent infections as those with sustained or rebounding high viral RNA titres for 26 days or longer. We examined associated host characteristics and used raw sequence data to identify de novo mutations and estimate within-host synonymous and non-synonymous evolutionary rates across the SARS-CoV-2 genome. FINDINGS: Between Nov 2, 2020, and March 21, 2023, we identified 576 persistent infections with at least two sequences, including 11 alpha, 106 delta, 102 BA.1, 204 BA.2, 16 BA.4, 133 BA.5, and 4 XBB. Persistent infections were more common in males than females (p<0·0001) and individuals older than 60 years (p=0·0027). The median within-host genome-wide evolutionary rate was 7·9 × 10-4 substitutions per site per year (IQR 7·0-9·0 × 10-4), with high inter-individual variability driven largely by non-synonymous mutations, particularly in the N-terminal and receptor-binding domains of the spike protein. Longer infection duration was associated with higher evolutionary rates, while no associations were found with age, sex, vaccination status, previous infection, or virus lineage. We found no clear evidence of transmission beyond the first month of infection in any of the 84 persistent infections lasting 56 days or longer. In total, we identified 379 recurrent mutations, including many with known or predicted negative fitness effects and low prevalence at the population level, as well as de novo reversions to the Wuhan-Hu-1 reference sequence, which were likely under positive selection within those individuals. INTERPRETATION: This study highlights the heterogeneous nature of within-host SARS-CoV-2 evolution in individuals with persistent infection in the community. Notably, a small subset of persistent infections with high viral loads underwent accelerated viral evolution or recurrently acquired hallmark mutations found in novel variants. In addition, onward transmission from a persistent infection during the later stages of infection is likely to be rare. These insights have important implications for prioritising genomic surveillance and managing patients with persistent infections. FUNDING: Department of Health and Social Care.

Humans↗

PubMed2026

Post-infection colonization and recurrent infections by ST11-KL64 carbapenem-resistant Klebsiella pneumoniae: a study of within-host evolution.

Bacteria pose a serious threat to hosts through adaptive mutations that confer stress resistance and promote persistent colonization. Here, we describe an adaptive evolution event involving eight highly similar ST11-KL64 carbapenem-resistant Klebsiella pneumoniae (CRKP) strains, isolated from a non-infected inpatient who acquired two distinct CRKP strains, CRKP-F1 and CRKP-S2 during the first hospitalization, recovered, and was discharged after receiving antimicrobial therapy but subsequently experienced two additional recurrent febrile episodes and re-admission. The strain CRKP-S2 showed significantly enhanced resistance to oxidative stress, survival within macrophages, and internalization ability, and carried an additional ~72 kb fragment containing oxidative stress response factors (including NAD(P)-dependent oxidoreductases), and a ~ 19kb plasmid fragment harboring catA2, sul2, umuC/D genes, compared to the initial strain CRKP-F1. All four strains, CRKP-B3, CRKP-U4, CRKP-F5 and CRKP-S6, from the second hospitalization exhibited higher genetic similarity to CRKP-S2 than each other, and each of these strains has its own unique mutations compared to CRKP-S2. The third-hospitalization strain CRKP-U7 displayed the highest average nucleotide identity (ANI) with CRKP-S2, and possessed unique mutations in cecR, rlmA1, and selB, distinct from second-hospitalization strains. However, the last strain, CRKP-B8, carries a new gene mutation based on CRKP-U7 and exhibits greater host adaptability than all other isolates. While these findings are suggestive, whether the ~72-kb and ~19-kb fragments and mutations in CRKP-S2 drove enhanced colonization, and whether subsequent mutations contributed to subclones linked to recurrent febrile, or merely coincided, remains unclear. The possibility of mixed colonization by co-circulating subclones cannot be excluded, and functional validation is needed.

Klebsiella pneumoniae↗

PubMed2026

In-host adaptation of Staphylococcus aureus during recurrent prosthetic joint infections: a retrospective longitudinal study.

UNLABELLED: The aim of this study was to characterize the in vivo evolution of Staphylococcus aureus strains involved in recurrent prosthetic joint infections (PJIs) both phenotypically and genomically. We conducted a monocentric retrospective study in a 1,437-bed French teaching hospital between 2013 and 2021. All patients presenting a recurrent S. aureus-related PJI-defined as at least two strains isolated from distinct clinical samples more than 90 days apart-of the knee, hip, or shoulder were included. Clinical data were reviewed, and all isolates underwent phenotypic characterization, including antimicrobial susceptibility testing, growth rate determination, biofilm production assays, metabolic profiling (API 50 CH), and virulence evaluation using the Galleria mellonella infection model. Whole-genome sequencing (WGS) was performed for all strains, followed by analyses of core-genome multilocus sequence typing (cgMLST), resistome, virulome, and mobilome composition, and single-nucleotide polymorphisms (SNPs). Thirteen patients met inclusion criteria, yielding 55 S. aureus isolates. Eight patients experienced recurrent infections caused by genetically closely related strains throughout the clinical course (median: three strains per patient; range: 2-6), whereas five patients were infected by genetically distinct strains. At baseline, isolates were genetically diverse and susceptible to methicillin and rifampicin; two showed fluoroquinolone resistance due to grlA and/or gyrA mutations. In one patient (patient C), a recurrent isolate acquired an rpoB S486L mutation, conferring rifampicin resistance after rifampicin exposure. Due to the limited sample size, it is difficult to draw definitive conclusions from the phenotypic analyses. This study highlights the adaptive evolution of S. aureus during chronic PJIs and underscores the need for further research to better understand intra-host dynamics in long-standing infections. IMPORTANCE: This study conducted in a 1,437-bed French teaching hospital analyzed the genomic and phenotypic evolution of 55 Staphylococcus aureus strains recovered in recurrent PJIs from 13 patients. The first strains showed high genotypic diversity across 12 different sequence types. Among the 13 patients, only eight experienced a true recurrence with the same strain, while five were contaminated with a different strain of S. aureus, indicating a new infection. Moreover, this study underscores the complex within-host evolution of S. aureus and highlights the phenotypical and genotypical adaptation during chronic infection.

Staphylococcus aureus↗

PubMed2022

Pneumococcal within-host diversity during colonization, transmission and treatment.

Characterizing the genetic diversity of pathogens within the host promises to greatly improve surveillance and reconstruction of transmission chains. For bacteria, it also informs our understanding of inter-strain competition and how this shapes the distribution of resistant and sensitive bacteria. Here we study the genetic diversity of Streptococcus pneumoniae within 468 infants and 145 of their mothers by deep sequencing whole pneumococcal populations from 3,761 longitudinal nasopharyngeal samples. We demonstrate that deep sequencing has unsurpassed sensitivity for detecting multiple colonization, doubling the rate at which highly invasive serotype 1 bacteria were detected in carriage compared with gold-standard methods. The greater resolution identified an elevated rate of transmission from mothers to their children in the first year of the child's life. Comprehensive treatment data demonstrated that infants were at an elevated risk of both the acquisition and persistent colonization of a multidrug-resistant bacterium following antimicrobial treatment. Some alleles were enriched after antimicrobial treatment, suggesting that they aided persistence, but generally purifying selection dominated within-host evolution. Rates of co-colonization imply that in the absence of treatment, susceptible lineages outcompeted resistant lineages within the host. These results demonstrate the many benefits of deep sequencing for the genomic surveillance of bacterial pathogens.

Child↗

PubMed2025

Rapid replacement of blaKPC variant in ST11 carbapenem-resistant and hypervirulent Klebsiella pneumoniae contributed to ceftazidime/avibactam resistance during severe in vivo infection.

OBJECTIVES: Hypervirulent ceftazidime/avibactam (CAZ/AVI)-resistant Klebsiella pneumoniae (Kp) has emerged; however, its dynamic within-host evolution and competitive features are uncharacterized. This study aimed to clarify the systematic microevolution characteristics of the rapid transformation of blaKPC variants during long-term infection. METHODS: Thirty-nine Kp strains were isolated from a single patient with severe recurrent osteomyelitis during a 2-year period. Whole-genome sequencing and in vitro evolution assay was performed. Microbiological characteristics were examined through antimicrobial susceptibility testing, plasmid stability, growth curve, in vitro competition and Galleria mellonella larvae lethality assays. RESULTS: Among all the clinical Kp isolates, 37 were carbapenem-resistant Kp (CRKP), including 25 CAZ-/AVI-resistant Kp. All isolates belonged to the ST11-K47. During in vivo evolution, the blaKPC variant and its amplification emerged. Twenty-four isolates (24/39, 61.5%) harboured a novel blaKPC variant, blaKPC-144. All five Kp isolates carried blaKPC-2 in 2021. Surprisingly, 24 blaKPC-144-harbouring isolates (70.6%, 24/34) and 10 blaKPC-2-harboring isolates were identified in 2023, indicating rapid changing of blaKPC. Kp4 carried two copies of blaKPC-2, and Kp10-1 exhibited a 1.94-fold increase in the blaKPC-144 copy number. Similarly, in vitro, the blaKPC copy number increased upon exposure to low CAZ/AVI concentrations. However, at higher concentrations (4/1 mg/L), the blaKPC copy number increased significantly, and blaKPC mutations emerged simultaneously. The competition assay indicated that the blaKPC-144-harboring isolates exhibited a superior competitive capacity. CONCLUSIONS: The blaKPC amplification and mutation emerged simultaneously or sequentially during in vivo and in vitro evolution. Kp isolates harbouring blaKPC-144, conferring resistance to CAZ/AVI, exhibited a competitive advantage, promoting the rapid replacement of blaKPC-2.

Klebsiella pneumoniae↗

PubMed2025

Variable rates of SARS-CoV-2 evolution in chronic infections.

An important feature of the evolution of the SARS-CoV-2 virus has been the emergence of highly mutated novel variants, which are characterised by the gain of multiple mutations relative to viruses circulating in the general global population. Cases of chronic viral infection have been suggested as an explanation for this phenomenon, whereby an extended period of infection, with an increased rate of evolution, creates viruses with substantial genetic novelty. However, measuring a rate of evolution during chronic infection is made more difficult by the potential existence of compartmentalisation in the viral population, whereby the viruses in a host form distinct subpopulations. We here describe and apply a novel statistical method to study within-host virus evolution, identifying the minimum number of subpopulations required to explain sequence data observed from cases of chronic infection, and inferring rates for within-host viral evolution. Across nine cases of chronic SARS-CoV-2 infection in hospitalised patients we find that non-trivial population structure is relatively common, with five cases showing evidence of more than one viral population evolving independently within the host. The detection of non-trivial population structure was more common in severely immunocompromised individuals (p = 0.04, Fisher's Exact Test). We find cases of within-host evolution proceeding significantly faster, and significantly slower, than that of the global SARS-CoV-2 population, and of cases in which viral subpopulations in the same host have statistically distinguishable rates of evolution. Non-trivial population structure was associated with high rates of within-host evolution that were systematically underestimated by a more standard inference method.

Humans↗

PubMed2025

Multi-scale phylodynamic modelling of rapid punctuated pathogen evolution.

Computational multi-scale pandemic modelling remains a major and timely challenge. Here we identify specific requirements for a new class of models simulating pandemics across three scales: (1) pathogen evolution, often punctuated by the rapid emergence of new variants, (2) human interactions within a heterogeneous population, and (3) public health responses which constrain individual actions to control the disease transmission. We then present a pandemic modelling framework satisfying these requirements and capable of simulating feedback loops between dynamics unfolding at these different scales. The developed framework comprises a stochastic agent-based model of pandemic spread, coupled with a phylodynamic model that incorporates within-host pathogen evolution. It is validated with a case study, modelling the punctuated evolution of SARS-CoV-2, based on global and contemporary genomic surveillance data, which captures a large heterogeneous population. We demonstrate that the model replicates the essential features of the COVID-19 pandemic and virus evolution, while retaining computational tractability and scalability.

SARS-CoV-2↗

PubMed2026

SARS-CoV-2 intra-host variation shows evidence of transmission and convergent evolution in a university surveillance cohort.

Monitoring and understanding the transmission and evolution of SARS-CoV-2 remains a significant public health priority. Within-host genetic variation provides insight into viral evolution during infection and may help infer transmission events. In this study, we analysed intra-host variation in SARS-CoV-2 genome sequences from Boston University's testing mandate. Focusing on intra-host single nucleotide variants (iSNVs), we inferred transmission events and assessed the selective forces shaping within-host viral evolution. To minimize false-positive iSNVs resulting from systematic biases, we implemented stringent data filtering and developed a heuristic to exclude contamination-derived artefacts arising from batched sequencing. We find that intra-host variation is limited and infrequently transmitted during acute infections, suggesting that shared iSNVs serve as highly specific but insensitive markers of transmission. We also observed incomplete purifying selection shaping within-host diversity, with the loci most affected changing among variants of concern. Finally, we identified a highly recurrent iSNV (G11083T) which may represent a site of positive selection. Our results highlight that within-host variation provides insight into within-host pathogen evolution, in spite of its limited use in genomic epidemiology.

SARS-CoV-2↗

PubMed2026

Single unscreened carrier triggered ICU outbreak of a KPC-producing Klebsiella pneumoniae which acquired in vivo resistance to ceftazidime-avibactam, and cefiderocol.

BACKGROUND: Carbapenemase-producing Enterobacterales are a major cause of healthcare-associated outbreaks in intensive care units (ICUs), where unrecognized carriers can drive silent transmission. We report an ICU outbreak caused by KPC-producing Klebsiella pneumoniae and the within-host emergence of resistance to ceftazidime-avibactam and cefiderocol in the index case. METHODS: Four ICU patients with five K. pneumoniae isolates identified between July and August 2023 were investigated. Phenotypic, genomic and functional analyses were performed to determine the clonal relatedness of the isolates and elucidate the mechanisms underlying resistance evolution. RESULTS: All isolates belonged to ST512, confirming dissemination of a single high-risk clone. The first isolate recovered from the index patient was susceptible to ceftazidime-avibactam and cefiderocol, but a later isolate obtained during ceftazidime-avibactam therapy acquired resistance to both agents. Genomic analysis revealed a novel KPC variant (KPC-270) carrying a 19-amino-acid duplication. When expressed in Escherichia coli, KPC-270 conferred ceftazidime-avibactam resistance, but it did not fully reproduce the meropenem or cefiderocol phenotype. Efflux inhibition substantially reduced meropenem and cefiderocol MICs in the resistant isolate, and avibactam partially restored cefiderocol activity, supporting multifactorial mechanism. CONCLUSION: This outbreak illustrates how unrecognized multidrug-resistant carriage in the index patient facilitated the nosocomial dissemination of a high-risk ST512 K. pneumoniae clone, followed by rapid resistance evolution during ceftazidime-avibactam therapy. Resistance was multifactorial, involving the novel KPC-270 variant and efflux activity contributing to ceftazidime-avibactam, meropenem and cefiderocol resistance.

Cefiderocol↗

PubMed2026

Identification and masking of artifactual and misleading within-host variants in deep-sequencing SARS-CoV-2 data.

Deep-sequencing data are increasingly used to study within-host viral diversity and to inform evolutionary inference. For SARS-CoV-2, analyses based on intra-host single-nucleotide variants (iSNVs) have been widely applied to quantify within-host diversity and infer transmission dynamics. However, these applications critically depend on the reliable identification of low-frequency variants, which remain vulnerable to systematic and technical artifacts. In this study, we show that recurrent artifactual iSNVs are common in large-scale SARS-CoV-2 sequencing data and can persist even under conservative minor allele frequency thresholds. Using data from the UK's Office for National Statistics COVID-19 Infection Survey, we demonstrate that such artifacts are predominantly sequencing center-specific rather than primer-specific. Each center exhibits a modest, distinct set of recurrent artifactual variants showing little overlap with sites routinely masked at the consensus level. To address this, we developed a systematic, dataset-aware framework that uses recurrence within sequencing datasets to identify small, noise-adapted sets of artifactual iSNVs to mask. Applying this framework reduces spurious sharing of low-frequency variants between samples and qualitatively alters downstream inferences, including estimates of within-host diversity and transmission bottleneck sizes. Although this study focused on SARS-CoV-2, it is likely that recurrent artifactual iSNVs will be problematic for other viruses as mass-sequencing becomes increasingly routine. Together, these findings highlight the importance of explicit, dataset-aware artifact control for robust inference from within-host variation, particularly as genomic studies increasingly seek to exploit sub-consensus diversity in rapidly evolving pathogens.

Humans↗

PubMed2026

Comparative genomic characterization and antimicrobial resistance of bacteremia-causing Enterococcus faecium and Enterococcus faecalis in a Chinese hospital.

Enterococci are common commensals of the human gut and important opportunistic pathogens, with Enterococcus faecium and Enterococcus faecalis being the most clinically prevalent species. A significant epidemiological shift has emerged with an increasing clinical burden of E. faecium. To compare genomic evolution of E. faecium and E. faecalis, we performed whole-genome sequencing on 93 E. faecium and 32 E. faecalis isolates causing bloodstream infections at a single hospital (2022-2024). Analysis of patient demographics revealed that E. faecium infections originated from fewer sources than E. faecalis, with a higher proportion deriving from intra-abdominal infections. Multilocus sequence typing identified ST78 and ST789 as the predominant sequence types for E. faecium, whereas ST16 and ST179 were most common for E. faecalis. E. faecium carried more antimicrobial resistance genes and putative virulence marker (PVM)-type virulence genes than E. faecalis, with vancomycin resistance predominantly mediated by vanHAX (33/93, 35.5%) and a single E. faecalis isolate also carrying vanHAX (1/32, 3.1%); the structurally incomplete vanHMX gene cluster was detected in 11 E. faecium isolates. Pan-genome analysis indicated a larger core genome in E. faecalis compared to E. faecium, consistent with greater plasmid replicon diversity in the latter. Intra-host comparisons showed that two E. faecalis pairs from the same patient were clonally related, with one isolate acquiring a vanHAX plasmid conferring vancomycin resistance. In contrast, E. faecium isolates exhibited marked genomic diversity even among clonally related pairs. These findings suggest that E. faecium possesses greater genomic plasticity and adaptive potential to the clinical environment.IMPORTANCEThis study provides a detailed comparison of clinical and genomic features between Enterococcus faecium and Enterococcus faecalis from the same hospital setting. We show that E. faecium isolates, mainly ST78/ST789, carry more antimicrobial resistance genes and a higher number of putative virulence marker (PVM) genes than E. faecalis, reflecting their hospital-adapted nature. E. faecium also exhibits a smaller core genome and greater diversity of plasmid replicon types, indicating higher genomic plasticity and capacity for horizontal gene transfer. By contrast, E. faecalis retains a larger core genome and a set of classical virulence factors, and its within-host isolates are clonally related. These distinct genomic profiles help to understand how the two species adapt to clinical environments and may inform more targeted infection control strategies and resistance surveillance.

Enterococcus faecium↗

PubMed2026

Phylogenomic and Clinical Perspectives of an East Asia-Specific Cluster of Mycobacterium massiliense.

BACKGROUND: Mycobacterium abscessus subspecies massiliense (MAM) can form genetically related clusters through continuous within-host adaptations. RESEARCH QUESTION: What is the epidemiologic and clinical significance of the sequence type 120 (ST120) strain of MAM, an East Asia-specific cluster? STUDY DESIGN AND METHODS: Isolates were obtained from patients with MAM pulmonary disease at Seoul National University Hospital between October 1, 2019, and December 31, 2023. These isolates were analyzed using multilocus sequence typing and colony morphotyping and were evaluated for glycopeptidolipid biosynthesis-related gene deletions. Whole-genome sequencing was performed for phylogenomic and pangenome analyses, incorporating MAM genome data from public databases. Finally, the clinical course and treatment outcomes of patients infected with ST120 were evaluated. RESULTS: Among the isolates obtained from 136 patients, 50 isolates (36.8%) were classified as ST120. All ST120 isolates exhibited a rough colony morphotype and harbored deletions in glycopeptidolipid biosynthesis-related genes. From 796 global strains, ST120 was identified exclusively in the isolates obtained from South Korea (51/137 isolates [37.1%]), Japan (3/53 [5.7%]), and Taiwan (2/52 [3.8%]). Genomic analysis revealed the stepwise genetic evolution of ST120, suggesting transmission from Taiwan to Japan and from Japan to South Korea. The ST120 strains exhibited genetic mutations associated with virulence and structural alterations within the ESX system. Consequently, patients with ST120 strain infections had a higher prevalence of cavitary disease (23/50 [46%]) than those infected with non-ST120 strains (19/86 [22.1%]; P = .004). Among those who initiated treatment, the proportion of microbiological cure was lower in patients with ST120 infection (6/15 [40.0%]) than in those with non-ST120 infection (24/34 [70.6%]; P = .043). INTERPRETATION: Our results show that ST120, a strain predominantly found in South Korea, is characterized by the extensive loss of glycopeptidolipid biosynthesis-related genes and is associated with increased disease severity and worse treatment outcomes.

Humans↗

PubMed2026

Repeated emergence and fitness heterogeneity of KPC-33 in ST11 Klebsiella pneumoniae under ceftazidime-avibactam pressure.

Ceftazidime-avibactam (CZA) is an important therapeutic option for infections caused by Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae. However, CZA exposure also selects for emergent KPC variants. Their in vivo evolutionary patterns, fitness consequences, and underlying molecular mechanisms remain unclear. We performed a longitudinal multiomics analysis of 35 clonally related ST11 KPC-producing K. pneumoniae isolates collected from eight hospitalized patients during clinical follow-up, most of whom had received CZA therapy. Whole-genome sequencing, antimicrobial susceptibility testing, in vitro competition assays, enzyme kinetic analysis, and transcriptomic sequencing were used to systematically characterize the within-host evolutionary dynamics of KPC variants and the fitness heterogeneity of KPC-33. Multiple KPC variants were identified during longitudinal follow-up, among which KPC-33 was the most frequently detected. Among the seven patients who received CZA treatment, KPC-33 was detected in longitudinal isolates from four patients. It was also identified in patient P3, who had not received CZA, whereas other variants were only sporadically identified. Biochemical analysis showed that KPC-33 exhibited an altered kinetic profile relative to KPC-2, characterized by reduced catalytic turnover and altered substrate affinity. KPC-33 did not exhibit a uniform and pronounced fitness defect but instead showed marked strain-dependent heterogeneity. Strains with higher competitive fitness generally showed only limited transcriptional changes, whereas those with lower fitness were accompanied by broader transcriptional remodeling. In this longitudinal cohort, KPC-33 was repeatedly detected, predominantly under CZA-associated selective conditions. Its fitness consequences were clearly strain background dependent and may be associated with the extent of transcriptional remodeling. These findings provide new evidence for understanding the in vivo evolution of CZA resistance.

KPC-33↗

PubMed2026

Evolution of virulence of a plant RNA virus in developmental stage-structured host populations.

Natural host populations are age-structured, and developmental stages differ in susceptibility and within-host pathogen dynamics, potentially imposing distinct selective pressures on viruses. However, the evolutionary consequences of host age structure remain poorly understood. We experimentally evolved turnip mosaic potyvirus for 5 passages in Arabidopsis thaliana populations spanning 7 demographic regimes, from juvenile- to mature-dominated cohorts. We quantified disease progression, symptom severity, and viral load, cross-inoculated evolved lineages across host stages to construct infection matrices, and performed whole-population sequencing at passages 1 and 5. Disease traits changed markedly with passage, demography, and their interaction. Disease progression evolved faster in older populations, whereas symptom severity was independent of median age, indicating demographic reweighting of virulence components. Viral load increased across passages and positively correlated with severity, linking within-host fitness to symptoms. Cross-inoculation assays revealed a modular infection network: juvenile-evolved lineages specialized on juvenile hosts, whereas lineages from intermediate and older populations were more generalist. Genomically, we detected both parallel and demography-specific adaptations, including recurrent changes in the viral protein VPg (involved in translation, replication, and host interactions) as well as synonymous variants showing consistent or opposing selection across host population stage structures. Overall, host age structure emerges as a major ecological driver of virulence evolution, shaping tradeoffs between disease progression and severity and determining specialization versus generalism. These results integrate phenotypic and genomic responses and suggest that manipulating crop age structure could steer virus evolution toward less damaging outcomes.

Virulence↗

PubMed2025

Genetically distinct within-host subpopulations of hepatitis C virus persist after Direct-Acting Antiviral treatment failure.

Analysis of viral genetic data has previously revealed distinct within-host population structures in both untreated and interferon-treated chronic hepatitis C virus (HCV) infections. While multiple subpopulations persisted during the infection, each subpopulation was observed only intermittently. However, it was unknown whether similar patterns were also present after Direct-Acting Antiviral (DAA) treatment, where viral populations were often assumed to go through narrow bottlenecks. Here we tested for the maintenance of population structure after DAA treatment failure, and whether there were different evolutionary rates along distinct lineages where they were observed. We analysed whole-genome next-generation sequencing data generated from a randomised study using DAAs (the BOSON study). We focused on samples collected from patients (N=84) who did not achieve sustained virological response (i.e., treatment failure) and had sequenced virus from multiple timepoints. Given the short-read nature of the data, we used a number of methods to identify distinct within-host lineages including tracking concordance in intra-host nucleotide variant (iSNV) frequencies, applying sequenced-based and tree-based clustering algorithms to sliding windows along the genome, and haplotype reconstruction. Distinct viral subpopulations were maintained among a high proportion of individuals post DAA treatment failure. Using maximum likelihood modelling and model comparison, we found an overdispersion of viral evolutionary rates among individuals, and significant differences in evolutionary rates between lineages within individuals. These results suggest the virus is compartmentalised within individuals, with the varying evolutionary rates due to different viral replication rates and/or different selection pressures. We endorse lineage awareness in future analyses of HCV evolution and infections to avoid conflating patterns from distinct lineages, and to recognise the likely existence of unsampled subpopulations.

Humans↗