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Jolly, C.

Publications and source records attributed to Jolly, C..

At least 19 recordsLinked to original sources

Revisiting the African mtDNA Landscape: A Continental Update from Complete Mitochondrial Genomes

AbstractAfrica harbors the richest diversity of mitochondrial DNA lineages, reflecting its central role in human evolutionary history. Early studies of mtDNA variation provided the first genetic evidence for the African origin of modern humans. With complete mitochondrial genome sequencing, we can now reconstruct maternal lineages with high resolution, yet large parts of the continent remain underrepresented. Using a newly developed long-range sequencing assay, we generated 1,288 complete mitochondrial genomes from 14 countries across sub-Saharan Africa, focusing on previously understudied regions. We combined these with over 3,600 publicly available African mitogenomes to produce a comprehensive dataset and updated overview of maternal genetic diversity across the continent. We contextualized this diversity with autosomal structure and information on major human expansions, integrating archaeological and linguistic evidence. Our analyses reveal a demographic expansion of Niger-Congo speakers around 17 thousand years ago (kya), followed by a second expansion associated with Bantuspeaking groups around 6 kya. We identify haplogroup L3e as a key marker of this early Bantu expansion, tracking its spread across sub-Saharan Africa. Distinct demographic signatures also emerge for different geographic sub-branches of Bantu speakers. These findings highlight the power of mitochondrial DNA to trace maternal ancestry and demographic history in Africa, while also acknowledging its limitations for phylogeographic reconstruction.

evolutionary biology↗

Wafer-scale integration of alpha-quartz thin films towards super high frequency piezoelectric bioNEMS for arbovirus detection

Micro and nanoelectromechanical systems (MEMS/NEMS), especially piezoelectric resonators, offer a promising strategy for the manufacturing of point-of-care devices providing rapid, sensitive, and field-deployable tests with minimal user training for the diagnostic of viral infections. High-frequency (HF) MEMS/NEMS have the potential for ultrasensible mass-loading devices. Yet, their use for biomedical applications requires challenging manufacturing qualities. Here, we develop a large-scale chemical integration of epitaxial -quartz (100) thin films on silicon wafers up to 4-inches. This methodology allows the microfabrication of wafer-scale piezoelectric -quartz/silicon bioMEMS using a recognition layer capable of selectively detecting emerging arboviruses over other viral loads. Using contact-free vibrometry, we show a mass sensitivity of the bioMEMS device of 22.4 pg/Hz in liquid conditions and a Chikungunya virus limit of detection of 9 ng/ml. To reach piezoelectric transduction for compact quartz sensor devices, we develop NEMS resonators at super HF, i.e., 17.8 GHz with a quality factor of 280 which represents a QxF product of 4.98{middle dot}1012. These -quartz NEMS can reach thicknesses between 100 and 800 nm and lateral dimensions up to 9 mm2. Our work opens the door for cost-efficient single-chip epitaxial piezoelectric -quartz/Si ultrasensitive NEMS sensors manufactured exclusively by soft-chemistry for biomedical applications and many other fields.

bioengineering↗

Environmentally induced variation in sperm sRNAs is linked to gene expression and transposable elements in zebrafish offspring

Environmental factors affect not only paternal condition but may translate into the following generations where sperm-mediated small RNAs (sRNAs) can contribute to the transmission of paternal effects. SRNAs play a key role in the male germ line in genome maintenance and repair, and particularly in response to environmental stress and the resulting increase in transposable element (TE) activity. Here, we investigated how the social environment (high competition, low competition) of male zebrafish Danio rerio affects small RNAs in sperm and how these are linked to gene expression and TE activity in their offspring. In a first experiment, we collected sperm samples after exposing males to each social environment for two weeks to test for differentially expressed sperm micro-(miRNA) and piwi-interacting RNAs (piRNA). In a separate experiment, we performed in vitro fertilisations after one two-week period using a split-clutch design to control for maternal effects and collected embryos at 24 hours to test for differentially expressed genes and transposable elements. We developed new computational prediction tools to link sperm sRNAs with differentially expressed TEs and genes in the embryos. Our results support the idea that the molecular stress response in the male germ line has significant down-stream effects on the molecular pathways, and we provide a direct link between sRNAs, TEs and gene expression. Author summaryThe discovery that sperm transmit more than just the fathers genome to the next generation is relatively recent and the potential implications are far reaching. What we do not know is whether these non-genetic components contained in sperm play a role in adaptation to changing environments or whether they are simply a result of the fathers stress response that also affects the germ cells. Environmentally induced stress is known to trigger a response to maintain and repair the germ cells to ensure the production of high quality sperm and key factors in this response are small RNAS. Small RNAs are guardians of the germ line and protect the germline genome against the activity of selfish genetic elements. We investigated how the social environment in male zebrafish affects the expression level of small RNAs in sperm and how these changes in small RNAs are linked to changes in the gene epxression and the activity of selfish genetic elements in the offspring. We developed specialised bioinformatic pipelines to provide a clear link between the response in the fathers germline to changes in the environment and gene expresssion in their offspring.

evolutionary biology↗

Wide-scale Geographical Analysis of Genetic Ancestry in the South African Coloured Population

The South African Coloured (SAC) population, a prominent admixed population in South Africa, reflects centuries of migration, admixture, and historical segregation. Descendants of local Khoe-San and Bantu-speaking populations, European settlers, and enslaved individuals from Africa and Asia, SAC individuals embody diverse ancestries. This study investigates the genetic makeup of SAC individuals, utilizing autosomal genotypes, mitochondrial DNA and Y-chromosome data. We analyze new genotype data for 125 SAC individuals from seven locations. Our analysis, based on a dataset comprising 356 SAC individuals from 22 geographic locations, revealed significant regional variations in ancestry. Khoe-San ancestry predominates in 14 locations, highlighting its lasting influence. Inland regions exhibit higher proportions of Khoe-San ancestry, eastern regions show more Bantu-speaker/West African ancestry, and western/coastal areas, particularly around Cape Town, display increased Asian ancestry. These patterns reflect historical migrations and settlement patterns. Additionally, sex-biased admixture ratios show male-biased admixture from East Africans and Europeans, and female-biased admixture from Khoe-San populations, which is supported by mitochondrial and Y-chromosome data. This research underscores the importance of studying the SAC population to understand South Africas historical migrations, providing insights into the complex genetic heritage of South Africans.

evolutionary biology↗

Impact of Streptococcus pneumoniae biosynthesis gene mutations on epithelial microinvasion and cellular responses

Nasopharyngeal colonisation by Streptococcus pneumoniae is characterised by bacterial adherence to epithelial cells, microinvasion and innate immune activation. Previously, we have shown two serotype 6B S. pneumoniae mutant strains affecting bacterial metabolism ({Delta}proABC/pia and{Delta} fhs/pia) colonise humans and mice, but in a murine disease model do not cause invasive infection. Here, we explore whether S. pneumoniae epithelial microinvasion and the induction of innate immune responses persist despite disease attenuation. We show that under serum stress, these biosynthesis gene mutations had a broad but different impact on pneumococcal virulence gene expression, oxidative stress regulation, and purine and carbohydrate metabolism genes. However, although these mutations did not attenuate microinvasion in human challenge and epithelial models, there was less transmigration of Detroit 562 nasopharyngeal epithelial cells by the mutants compared to WT. Cellular reorganisation of primary human airway epithelium varied considerably between strains. Compared to WT, infection of Detroit 562 epithelial cells by the{Delta} fhs/piaA strain, but not the{Delta} proABC/piaA strain was less pro-inflammatory, induced less caspase 8 production, and were associated with increased pneumococcal hydrogen peroxide and reduced pneumolysin secretion. These findings suggest that the observed differences in microinvasion and the epithelial response were driven by the differential expression of multiple bacterial virulence and metabolic pathways, rather than single genes or pathways of genes. These data highlight the complex impact of single gene mutations on bacterial virulence and suggest that the virulence determinants of pneumococcal epithelial colonisation, microinvasion and innate immunity are not necessarily directly linked to disease. Author SummaryStreptococcus pneumoniae (the pneumococcus) commonly colonises the back of the human nose, and is a leading cause of pneumonia, meningitis, and sepsis. During colonisation, the pneumococcus adheres to the cells in the nose, invades these cells (so-called microinvasion), and activates them. Colonisation is a pre-requisite for disease, however, since disease is largely a dead end for S. pneumoniae, it remains unclear whether these processes are directly linked to disease progression. We have previously shown that if we introduce gene mutations into S. pneumoniae that affect key metabolic pathways, these bacteria retain their ability to colonize human and animal models without causing disease. We now show that these mutants retain their ability to microinvade epithelial cells in human and mouse models, and some may still cause inflammation, but are less able to pass through the epithelial barrier. However, although the attenuation of disease may be explained by the broad-ranging impact of these mutations on pneumococcal virulence, oxidative stress, and metabolism, they are not driven by a single determinant. Our findings suggest that pneumococcal microinvasion and immune activation are not necessarily pre-cursors to disease progression. This supports the idea that S. pneumoniae adapts and evolves to promote colonisation and ultimately transmission rather than cause disease. Graphical AbstractS. pneumoniae colonisation is characterised by mucus association, epithelial adherence, microcolony formation and microinvasion - where the pneumococcus invades the epithelial barrier without causing disease. Although mutations in S. pneumoniae biosynthesis genes ({Delta}proABC and{Delta} fhs) attenuate disease in a murine model, they do not attenuate microinvasion in either experimental human pneumococcal challenge (EHPC), ex vivo or in vitro epithelial cells. Transmigration of the epithelial barrier is attenuated. These mutations show strain-dependent effects on both the epithelial and bacterial responses to infection. Factors such as epithelial cellular reorganisation, inflammation and caspase 8 activity alongside pneumococcal metabolic adaptation, virulence factor expression and response to stress are important components of these processes. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=86 SRC="FIGDIR/small/545009v8_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@11a17aeorg.highwire.dtl.DTLVardef@8c707org.highwire.dtl.DTLVardef@42abf8org.highwire.dtl.DTLVardef@12850f9_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

The genetic legacy of the expansion of Bantu-speaking peoples in Africa

With the largest genomic dataset to date of Bantu-speaking populations, including newly generated data of modern-day and ancient DNA from previously unsampled regions in Africa, we shed fresh light on the expansion of peoples speaking Bantu languages that started [~]4000 years ago in western Africa. We have genotyped 1,740 participants, including 1,487 Bantu speakers from 143 populations across 14 African countries, and generated whole-genome sequences from 12 Late Iron Age individuals. Our results show that Bantu speakers received significant gene-flow from local groups in regions they expanded into. We show for the first time that genetic diversity amongst Bantu-speaking populations declines with distance from western Africa, with current-day Zambia and the DRC as possible crossroads of interaction. Using spatially explicit methods and correlating genetic, linguistic and geographical data, we provide cross-disciplinary support for a serial founder migration model. Finally, we discuss the utility of our dataset as an exhaustive modern-day African comparative dataset for ancient DNA studies. These new findings and data will be important to a wide range of disciplines from science and humanities as well as to the medical sector studying human genetic variation and health in African and African-descendant populations. One-sentence summaryA comprehensive genetic analysis of the expansion of people speaking Bantu languages reveals a complex history of serial founder events, variable levels of contact with local groups, and spread-over-spread events.

evolutionary biology↗

Enhanced innate immune suppression by SARS-CoV-2 Omicron subvariants BA.4 and BA.5

SARS-CoV-2 adaptation to humans is evidenced by the emergence of variants of concern (VOCs) with distinct genotypes and phenotypes that facilitate immune escape and enhance transmission frequency. Most recently Omicron subvariants have emerged with heavily mutated spike proteins which facilitate re-infection of immune populations through extensive antibody escape driving replacement of previously-dominant VOCs Alpha and Delta. Interestingly, Omicron is the first VOC to produce distinct subvariants. Here, we demonstrate that later Omicron subvariants, particularly BA.4 and BA.5, have evolved an enhanced capacity to suppress human innate immunity when compared to earliest subvariants BA.1 and BA.2. We find that, like previously dominant VOCs, later Omicron subvariants tend to increase expression of viral innate immune antagonists Orf6 and nucleocapsid. We show Orf6 to be a key contributor to enhanced innate immune suppression during epithelial replication by BA.5 and Alpha, reducing innate immune signaling through IRF3 and STAT1. Convergent VOC evolution of enhanced innate immune antagonist expression suggests common pathways of adaptation to humans and links VOC, and in particular Omicron subvariant, dominance to improved innate immune evasion.

microbiology↗

Crowd-sourced benchmarking of single-sample tumour subclonal reconstruction

Tumours are dynamically evolving populations of cells. Subclonal reconstruction algorithms use bulk DNA sequencing data to quantify parameters of tumour evolution, allowing assessment of how cancers initiate, progress and respond to selective pressures. A plethora of subclonal reconstruction algorithms have been created, but their relative performance across the varying biological and technical features of real-world cancer genomic data is unclear. We therefore launched the ICGC-TCGA DREAM Somatic Mutation Calling -- Tumour Heterogeneity and Evolution Challenge. This seven-year community effort used cloud-computing to benchmark 31 containerized subclonal reconstruction algorithms on 51 simulated tumours. Each algorithm was scored for accuracy on seven independent tasks, leading to 12,061 total runs. Algorithm choice influenced performance significantly more than tumour features, but purity-adjusted read-depth, copy number state and read mappability were associated with performance of most algorithms on most tasks. No single algorithm was a top performer for all seven tasks and existing ensemble strategies were surprisingly unable to outperform the best individual methods, highlighting a key research need. All containerized methods, evaluation code and datasets are available to support further assessment of the determinants of subclonal reconstruction accuracy and development of improved methods to understand tumour evolution.

bioinformatics↗

SARS-CoV-2 Spike evolution influences GBP and IFITM sensitivity

SARS-CoV-2 spike requires proteolytic processing for viral entry. The presence of a polybasic furin-cleavage site (FCS) in spike, and evolution towards an optimised FCS by dominant variants of concern (VOCs), are linked to enhanced infectivity and transmission. Here we show that interferon-inducible antiviral restriction factors Guanylate binding proteins (GBP) 2 and 5 interfere with furin-mediated cleavage of SARS-CoV-2 spike and inhibit the infectivity of early-lineage Wuhan-Hu-1, while VOCs Alpha and Delta have evolved to escape restriction. Strikingly, we find Omicron is unique amongst VOCs, being restricted by GBP2/5, and also IFITM1, 2 and 3. Replacing the spike S2 domain in Omicron with Delta shows S2 is the determinant of entry route and IFITM sensitivity. We conclude that VOC evolution under different selective pressures has influenced sensitivity to spike-targeting restriction factors, with Omicron selecting spike changes that not only mediate antibody escape, and altered tropism, but also sensitivity to innate immunity.

microbiology↗

Executable Network of SARS-CoV-2-Host Interaction Predicts Drug Combination Treatments

The COVID-19 pandemic has pushed healthcare systems globally to a breaking point. The urgent need for effective and affordable COVID-19 treatments calls for repurposing combinations of approved drugs. The challenge is to identify which combinations are likely to be most effective and at what stages of the disease. Here, we present the first disease-stage executable signalling network model of SARS-CoV-2-host interactions used to predict effective repurposed drug combinations for treating early- and late-stage severe disease. Using our executable model, we performed in silico screening of 9870 pairs of 140 potential targets and have identified 12 new drug combinations. Camostat and Apilimod were predicted to be the most promising combination in effectively supressing viral replication in the early stages of severe disease and were validated experimentally in human Caco-2 cells. Our study further demonstrates the power of executable mechanistic modelling to enable rapid pre-clinical evaluation of combination therapies tailored to disease progression. It also presents a novel resource and expandable model system that can respond to further needs in the pandemic.

systems biology↗

Evolution of enhanced innate immune evasion by the SARS-CoV-2 B.1.1.7 UK variant

Emergence of SARS-CoV-2 variants, including the globally successful B.1.1.7 lineage, suggests viral adaptations to host selective pressures resulting in more efficient transmission. Although much effort has focused on Spike adaptation for viral entry and adaptive immune escape, B.1.1.7 mutations outside Spike likely contribute to enhance transmission. Here we used unbiased abundance proteomics, phosphoproteomics, mRNA sequencing and viral replication assays to show that B.1.1.7 isolates more effectively suppress host innate immune responses in airway epithelial cells. We found that B.1.1.7 isolates have dramatically increased subgenomic RNA and protein levels of Orf9b and Orf6, both known innate immune antagonists. Expression of Orf9b alone suppressed the innate immune response through interaction with TOM70, a mitochondrial protein required for RNA sensing adaptor MAVS activation, and Orf9b binding and activity was regulated via phosphorylation. We conclude that B.1.1.7 has evolved beyond the Spike coding region to more effectively antagonise host innate immune responses through upregulation of specific subgenomic RNA synthesis and increased protein expression of key innate immune antagonists. We propose that more effective innate immune antagonism increases the likelihood of successful B.1.1.7 transmission, and may increase in vivo replication and duration of infection.

microbiology↗

Aberrant integration of Hepatitis B virus DNA promotes major restructuring of human hepatocellular carcinoma genome architecture

Most cancers are characterized by the somatic acquisition of genomic rearrangements during tumour evolution that eventually drive the oncogenesis. There are different mutational mechanisms causing structural variation, some of which are specific to particular cancer types. Here, using multiplatform sequencing technologies, we identify and characterize a remarkable mutational mechanism in human hepatocellular carcinoma caused by Hepatitis B virus, by which DNA molecules from the virus are inserted into the tumour genome causing dramatic changes in its configuration, including non-homologous chromosomal fusions and megabase-size telomeric deletions. This aberrant mutational process, present in at least 8% of all HCC tumours, is active early during liver cancer evolution and can provide the driver rearrangements that a cancer clone requires to survive and grow.

cancer biology↗

Characterisation of B.1.1.7 and Pangolin coronavirus spike provides insights on the evolutionary trajectory of SARS-CoV-2

The recent emergence of SARS-CoV-2 variants with increased transmission, pathogenesis and immune resistance has jeopardised the global response to the COVID-19 pandemic. Determining the fundamental biology of viral variants and understanding their evolutionary trajectories will guide current mitigation measures, future genetic surveillance and vaccination strategies. Here we examine virus entry by the B.1.1.7 lineage, commonly referred to as the UK/Kent variant. Pseudovirus infection of model cell lines demonstrate that B.1.1.7 entry is enhanced relative to the Wuhan-Hu-1 reference strain, particularly under low expression of receptor ACE2. Moreover, the entry characteristics of B.1.1.7 were distinct from that of its predecessor strain containing the D614G mutation. These data suggest evolutionary tuning of spike protein function. Additionally, we found that amino acid deletions within the N-terminal domain (NTD) of spike were important for efficient entry by B.1.1.7. The NTD is a hotspot of diversity across sarbecoviruses, therefore, we further investigated this region by examining the entry of closely related CoVs. Surprisingly, Pangolin CoV spike entry was 50-100 fold enhanced relative to SARS-CoV-2; suggesting there may be evolutionary pathways by which SARS-CoV-2 may further optimise entry. Swapping the NTD between Pangolin CoV and SARS-CoV-2 demonstrates that changes in this region alone have the capacity to enhance virus entry. Thus, the NTD plays a hitherto unrecognised role in modulating spike activity, warranting further investigation and surveillance of NTD mutations.

microbiology↗

The envelope cytoplasmic tail regulates HIV-1 assembly and spread

The HIV-1 envelope (Env) is an essential determinant of viral infectivity, tropism and spread between T cells. Lentiviral Env contain an unusually long 150 amino acid cytoplasmic tail (EnvCT) but the function of the EnvCT and conserved domains within it remain largely uncharacterised. Here we identified a highly conserved tryptophan motif at position 757 (W757) in the LLP-2 alpha helix of the EnvCT as a key determinant for HIV-1 replication and spread between T cells. Strikingly we find that mutating W757 had wide-ranging consequences including altering Env mobility in the plasma membrane, preventing Env and Gag recruitment to sites of cell-cell contact for virological synapse (VS) formation and cell-cell spread, and impeding viral fusion. Notably, W757 was also required for efficient virus budding, revealing a previously unappreciated role for the EnvCT in regulating HIV-1 assembly and egress. We conclude that W757 is a key residue that stabilises the structural integrity and function of Env, consistent with the recent model that this region of the EnvCT acts as a critical supporting baseplate for Env.

microbiology↗

HIV-1 Vpr drives a tissue residency-like phenotype during selective infection of resting memory T cells

Human immunodeficiency virus type 1 (HIV-1) replicates in CD4+ T cells leading to profound T cell loss, immunological dysfunction and AIDS. Determining how HIV-1 shapes the immunological niche in which it resides to create a permissive environment is central to informing efforts to limit pathogenesis, disturb viral reservoirs and achieve a cure. A key roadblock in understanding HIV-T cell interactions is the requirement to activate CD4+ T cells in vitro in order to make them permissive to infection. This dramatically alters T cell biology, obscuring native virus-host interactions. Here we show that HIV-1 cell-to-cell spread permits efficient and productive infection of resting CD4+ T cells without the need for prior activation. Infection is preferential for resting memory T cells, is observed with both CXCR4-tropic virus and CCR5-tropic transmitter-founder viruses and results in virus production and onward spreading infection. Strikingly, we find that HIV-1 infection of resting memory CD4+ T cells primes for induction of a tissue-resident memory (TRM)-like phenotype evidenced by upregulation of TRM markers CD69/CXCR6 alongside co-expression of CD49a, PD-1, CD101 as well as transcription factor Blimp-1. Furthermore, we reveal that HIV-1 initiates a transcriptional program that overlaps with the core TRM transcriptional signature. This reprograming depends on the HIV-1 accessory protein Vpr. We propose that HIV-1 infection drives a CD4+ TRM-phenotype potentially sequestering infected cells within tissues to support viral replication and persistence.

microbiology↗

Host-directed therapies against early-lineage SARS-CoV-2 retain efficacy against B.1.1.7 variant

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in millions of deaths worldwide and massive societal and economic burden. Recently, a new variant of SARS-CoV-2, known as B.1.1.7, was first detected in the United Kingdom and is spreading in several other countries, heightening public health concern and raising questions as to the resulting effectiveness of vaccines and therapeutic interventions. We and others previously identified host-directed therapies with antiviral efficacy against SARS-CoV-2 infection. Less prone to the development of therapy resistance, host-directed drugs represent promising therapeutic options to combat emerging viral variants as host genes possess a lower propensity to mutate compared to viral genes. Here, in the first study of the full-length B.1.1.7 variant virus, we find two host-directed drugs, plitidepsin (aplidin; inhibits translation elongation factor eEF1A) and ralimetinib (inhibits p38 MAP kinase cascade), as well as remdesivir, to possess similar antiviral activity against both the early-lineage SARS-CoV-2 and the B.1.1.7 variant, evaluated in both human gastrointestinal and lung epithelial cell lines. We find that plitidepsin is over an order of magnitude more potent than remdesivir against both viruses. These results highlight the importance of continued development of host-directed therapeutics to combat current and future coronavirus variant outbreaks.

microbiology↗

SARS-CoV-2 sensing by RIG-I and MDA5 links epithelial infection to macrophage inflammation

SARS-CoV-2 infection causes broad-spectrum immunopathological disease, exacerbated by inflammatory co-morbidities. A better understanding of mechanisms underpinning virus-associated inflammation is required to develop effective therapeutics. Here we discover that SARS-CoV-2 replicates rapidly in lung epithelial cells despite triggering a robust innate immune response through activation of cytoplasmic RNA-ensors RIG-I and MDA5. The inflammatory mediators produced during epithelial cell infection can stimulate primary human macrophages to enhance cytokine production and drive cellular activation. Critically, this can be limited by abrogating RNA sensing, or by inhibiting downstream signalling pathways. SARS-CoV-2 further exacerbates the local inflammatory environment when macrophages or epithelial cells are primed with exogenous inflammatory stimuli. We propose that RNA sensing of SARS-CoV-2 in lung epithelium is a key driver of inflammation, the extent of which is influenced by the inflammatory state of the local environment, and that specific inhibition of innate immune pathways may beneficially mitigate inflammation-associated COVID-19. HighlightsO_LISARS-CoV-2 activates RNA sensors and consequent inflammatory responses in lung epithelial cells C_LIO_LIEpithelial RNA sensing responses drive pro-inflammatory macrophage activation C_LIO_LIExogenous inflammatory stimuli exacerbate responses to SARS-CoV-2 in both eplithelial cells and macrophages C_LIO_LIImmunomodulators inhibit RNA sensing responses and consequent macrophage inflammation C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/424169v1_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@b07adborg.highwire.dtl.DTLVardef@51ddf7org.highwire.dtl.DTLVardef@c38f9aorg.highwire.dtl.DTLVardef@108db57_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

In Vivo Emergence of a Novel Protease Inhibitor Resistance Signature in HIV-1 Matrix

BackgroundProtease Inhibitors (PIs) are the second- and last-line therapy for the majority of HIV-infected patients worldwide. Only around 20% of individuals who fail PI regimens develop major resistance mutations in protease. We sought to explore the role of mutations in gag-protease genotypic and phenotypic changes within six Nigerian patients who failed PI-based regimens without known drug resistance associated protease mutations in order to identify novel determinants of PI resistance. MethodsTarget enrichment and NGS by Illumina Miseq were followed by haplotype reconstruction. Full length gag-protease regions were amplified from baseline (pre-PI) and virologic failure (VF) samples, sequenced and used to construct gag/protease pseudotyped viruses. Phylogenetic analysis was performed using maximum likelihood methods. Susceptibility to lopinavir (LPV) and darunavir (DRV) were measured using a single-cycle replication assay. Western blotting was used to analyse Gag cleavage. ResultsIn one of six participants (subtype CRF02_AG) we found 4-fold lower LPV susceptibility in viral clones during failure of second line treatment. A combination of four mutations (S126del, H127del, T122A and G123E) in p17 matrix of baseline virus generated a similar 4x decrease in susceptibility to LPV but not darunavir. These four amino acid changes were also able to confer LPV resistance to a subtype B gag-protease backbone. Western blotting did not demonstrate significant Gag cleavage differences between sensitive and resistant isolates. Resistant viruses had around 2-fold lower infectivity compared to sensitive clones in the absence of drug. NGS combined with haplotype reconstruction revealed resistant, less fit clones emerged from a minority population at baseline and thereafter persisted alongside sensitive fitter viruses. ConclusionsWe have used a multi-pronged genotypic and phenotypic approach to document emergence and temporal dynamics of a novel protease inhibitor resistance signature in p17 matrix, revealing the interplay between Gag associated resistance and fitness.

microbiology↗