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Biology subjects

da Silva, A. C.

Publications and source records attributed to da Silva, A. C..

5 recordsLinked to original sources

HIV superinfection reveals sequential reservoir reactivation and immune-driven rebound dynamics

Superinfection, where a person with HIV acquires a second phylogenetically distinct strain, provides an opportunity to study reservoir evolutionary dynamics because the two strains can be tracked over time. We here characterize such a case that originally went undetected by clinical monitoring. The participant, who expressed the protective HLA-B*57:03 allele, initially controlled his subtype B infection but lost control after superinfection with a unique recombinant form (URF), which came to dominate in plasma without displacing the original B strain. Five years after initiating therapy, replication-competent proviruses from both strains persisted in blood, though URF proviruses dominated (80%). Despite their unequal reservoir representation, both strains rapidly rebounded upon treatment interruption, though most rebounding sequences belonged to a URF subclade that predated ART initiation. During the treatment interruption, genetically distinct viral lineages continually appeared in plasma, consistent with sequential "waves" of reactivation of diverse reservoir clones. Notably, immune escape variants emerged from the reservoir in a later "wave", displacing initial susceptible variants and underscoring the important role of immune responses in shaping rebound dynamics. Sequence analysis revealed that the URF transmitted/founder virus already harbored key HLA-B*57:03-associated escape mutations, likely explaining the loss of viral control after superinfection. Our results reveal that superinfection can remain undetected despite routine HIV clinical monitoring, that pre-adaptation of the superinfecting strain to host HLA can undermine immune control, that rebound virus can originate from reservoir clones predating ART initiation, and that immune responses can actively shape rebound dynamics by driving escape variant outgrowth during treatment interruption. IMPORTANCEThis case demonstrates that HIV superinfection can go undetected by routine clinical monitoring, underscoring the importance of assays that capture HIV diversity -- particularly those used to screen participants for cure trials. It also illustrates how pre-adaptation of a superinfecting strain to host HLA-restricted immune responses can evade existing immunity, with implications for understanding natural immune control, and underscoring the challenge of viral diversity for vaccine and immunotherapy design. The sequential emergence of genetically diverse HIV lineages during treatment interruption, including minority immune escape variants that emerged from the reservoir to displace the initial susceptible population, highlights the difficulty of predicting rebound virus composition and underscores the key role of immune responses in shaping rebound dynamics. Critically, escaped rebound variants can then reseed the reservoir, thereby enriching it in escaped forms, highlighting a specific vulnerability for cure approaches that harness natural immune responses to eliminate reservoir cells.

molecular biology↗

Meta-analysis of the uncultured gut microbiome across 11,115 global metagenomes reveals a new candidate biomarker of health

The human gut microbiome plays an important biological role in host health, yet over 60% of gut species remain uncultured and hence inaccessible to experimental manipulation. Here we analysed 11,115 human gut metagenomes from 39 countries, 13 noncommunicable diseases and healthy individuals to understand the clinical relevance of the uncultured microbiome worldwide. We identified 317 uncultured species linked to distinct health states, with most microbiome signatures being disease specific. Uncultured bacteria were more abundant in healthy controls, with the genus CAG-170 predicted as the strongest biomarker of health. The genetic diversity and abundance of CAG-170 negatively correlated with gut microbiome imbalance over time, and ecological modelling identified it as the top candidate keystone genus among healthy populations globally. Functional prediction analysis showed CAG-170 species have greater capabilities for vitamin B12 biosynthesis but lack key genes involved in arginine production, offering new biological insights into this elusive genus. Our findings shed light on the underexplored role of uncultured gut species in health and disease.

microbiology↗

Global trade-offs in tree functional traits

AO_SCPLOWBSTRACTC_SCPLOWDue to massive energetic investments in woody support structures, trees are subject to unique physiological, mechanical, and ecological pressures not experienced by herbaceous plants. When considering trait relationships across the entire plant kingdom, plant trait frameworks typically must omit traits unique to large woody species, thereby limiting our understanding of how these distinct ecological pressures shape trait relationships in trees. Here, by considering 18 functional traits--reflecting leaf economics, wood structure, tree size, reproduction, and below-ground allocation--we quantify the major axes of variation governing trait expression of trees worldwide. We show that trait variation within and across angiosperms and gymnosperms is captured by two independent processes: one reflecting tree size and competition for light, the other reflecting leaf photosynthetic capacity and nutrient economies. By exploring multidimensional relationships across clusters of traits, we further identify a representative set of seven traits which captures the majority of variation in form and function in trees: maximum tree height, stem conduit diameter, specific leaf area, seed mass, bark thickness, root depth, and wood density. Collectively, this work informs future trait-based research into the functional biogeography of trees, and contributes to our fundamental understanding of the ecological and evolutionary controls on forest biodiversity and productivity worldwide.

ecology↗

Optimal markers for the identification of Colletotrichum species

Colletotrichum is among the most important genera of fungal plant pathogens. Molecular phylogenetic studies over the last decade have resulted in a much better understanding of the evolutionary relationships and species boundaries within the genus. There are now approximately 200 species accepted, most of which are distributed among 13 species complexes. Given their prominence on agricultural crops around the world, rapid identification of a large collection of Colletotrichum isolates is routinely needed by plant pathologists, regulatory officials, and fungal biologists. However, there is no agreement on the best molecular markers to discriminate species in each species complex. Here we calculate the barcode gap distance and intra/inter-specific distance overlap to evaluate each of the most commonly applied molecular markers for their utility as a barcode for species identification. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), histone-3 (HIS3), DNA lyase (APN2), intergenic spacer between DNA lyase and the mating-type locus MAT1-2-1 (APN2/MAT-IGS), and intergenic spacer between GAPDH and a hypothetical protein (GAP2-IGS) have the properties of good barcodes, whereas sequences of actin (ACT), chitin synthase (CHS-1) and nuclear rDNA internal transcribed spacers (nrITS) are not able to distinguish most species. Finally, we assessed the utility of these markers for phylogenetic studies using phylogenetic informativeness profiling, the genealogical sorting index (GSI), and Bayesian concordance analyses (BCA). Although GAPDH, HIS3 and {beta}-tubulin (TUB2) were frequently among the best markers, there was not a single set of markers that were best for all species complexes. Eliminating markers with low phylogenetic signal tends to decrease uncertainty in the topology, regardless of species complex, and leads to a larger proportion of markers that support each lineage in the Bayesian concordance analyses. Finally, we reconstruct the phylogeny of each species complex using a minimal set of phylogenetic markers with the strongest phylogenetic signal and find the majority of species are strongly supported as monophyletic.

evolutionary biology↗

The social evolution of siderophore production in Pseudomonas aeruginosa is environmentally determined.

Bacteria secrete various exoproducts whose benefits can be shared by all cells in the vicinity. The potential importance of these \"public goods\" in bacterial evolutionary ecology has been extensively studied. Cheating by siderophore-null mutants of the opportunistic pathogen Pseudomonas aeruginosa has received particular attention. The potential of siderophore mutants to attenuate virulence, and the possibility of exploiting this for clinical ends, have generated a wealth of publications. However, the possibility that genotype {middle dot} environment interactions govern the evolutionary consequences of siderophore loss has been almost entirely ignored. A review of the available literature revealed (i) widespread use of an undefined mutant as a siderophore cheat; and (ii) a reliance on experiments conducted in iron-limited minimal medium. Whole genome sequencing of the undefined mutant revealed a range of mutations affecting phenotypes other than siderophore production. We then conducted cheating assays using defined deletion mutants, grown in conditions designed to model infected fluids and tissue in CF lung infection and non-healing wounds. Depending on the environment, we found that siderophore loss could lead to cheating, simple fitness defects, or no fitness effect at all. It is therefore crucial to develop appropriate in vitro growth conditions in order to better predict the social evolution of traits in vivo.

microbiology↗