Biology subjects

Barton, A.

Publications and source records attributed to Barton, A..

6 recordsLinked to original sources

bioRxiv2026

Subsistence transition preceded population turnover in the eastern Colombian Andes

Northwest South America was a pivotal region for human dispersals and cultural exchange during the Holocene. The Altiplano Cundiboyacense, a high-altitude plateau in the Eastern Cordillera of the Northern Andes of Colombia, preserves one of the most continuous archaeological sequences in the Americas, spanning from late Pleistocene hunter-gatherer groups to final late Holocene Muisca chiefdoms. Increasing the regional ancient DNA sample size 11-fold, we report genome-wide data from 209 individuals who lived over a period of more than 7000 years. This includes hunter-gatherers from the early-middle (10,000-7000 BP) and middle (7000-4000 BP) Holocene, initial late Holocene people (4000-2500 BP) who have the first isotopic evidence of C-enriched diets (attributed to maize), and populations associated with increasing sedentism and food production in the Herrera (2200-1300 BP) and Muisca (1200-500 BP) Periods. Previous work identified a major population turnover distinguishing earlier groups from Herrera-Muisca Period populations, but the absence of individuals dating 6000-2000 BP in that study left unresolved whether this ancestry shift was gradual or abrupt and whether it accompanied the earliest isotopic evidence of dietary input from maize or coincided with the later emergence of Herrera culture. We show that individuals predating the Herrera Period form a lineage that persisted for over five millennia, with population structure driven by drift in small groups and no detectable external gene flow. Two individuals who lived [~]2800 years ago - one directly dated to 983-835 calBCE - exhibit genetic profiles entirely consistent with hunter-gatherer ancestry yet have isotopic values consistent with the incorporation of maize into their diets, indicating subsistence change without population replacement. The emergence of Herrera culture [~]2200 BP coincided with a sharp genetic break, reflecting the migration of people carrying ancestry diverged by up to ten millennia into the Sabana de Bogota and displacing previously established peoples. By co-analyzing ancient data with modern Native Americans, we show these later populations derived from a mixture [~]4000 years ago of groups related to Chibchan language speakers of lower Central America and ones related to present-day people at the Amazonian-Andean interface who may have lived along the Chibchan expansion route. In the Herrera and Muisca Periods, genetic substructure distinguishes people from the southern and northern Altiplano, consistent with the cultural differentiation of these regions in the archaeological record. IN BRIEFAncient DNA data from the eastern Colombian Andes reveal five millennia of population continuity during which C plants were incorporated into subsistence systems without population replacement, followed later by a major ancestry turnover involving a population with ancestry admixed between that found in Chibchan-related groups and at the Amazonian-Andean interface.

genetics↗

bioRxiv2024

Targeted therapy of oncomicrobe F. nucleatum with bioengineered probiotic expressing guided antimicrobial peptide (gAMP)

Colorectal cancer (CRC) is a leading cause of cancer-related mortality, with Fusobacterium nucleatum (F. nucleatum) identified as a key contributor to its progression. This study explores a novel targeted therapy using bioengineered probiotics expressing guided antimicrobial peptides (gAMPs) to selectively inhibit F. nucleatum. We engineered Lactococcus lactis MG1363 to express gAMPs derived from Ovispirin and Cathelin-related peptide SCF, linked to a Statherin-derived guide peptide (YQPVPE) that binds specifically to the F. nucleatum membrane porin FomA. Our results demonstrate that the Statherin-derived guide peptide enhances the binding affinity to F. nucleatum, significantly increasing the preferential attachment compared to control peptides. In vitro assays revealed that both unguided and guided AMPs effectively inhibited biofilm formation in F. nucleatum, with gAMPs showing reduced toxicity against non-target bacteria (Bacteroides fragilis and Escherichia coli). The gAMPs were also more effective in modulating growth kinetics, exhibiting selective toxicity towards F. nucleatum at lower concentrations. Co-culture experiments in a simulated human gut microbiome demonstrated that the gAMP probiotic maintained microbial diversity while effectively reducing F. nucleatum abundance. Quantitative PCR and 16S rRNA sequencing confirmed that gAMP treatment preserved the richness of the microbiota, contrasting with significant dysbiosis observed in control samples. These findings support the potential of engineered probiotics as a targeted therapeutic approach to combat F. nucleatum-associated CRC. By leveraging the specificity of Statherin-derived peptides, this strategy not only addresses the pathogenicity of F. nucleatum but also mitigates the adverse effects of traditional antimicrobial therapies on beneficial gut microbiota. Future studies will explore the clinical applicability of this approach in CRC management and its impact on overall gut health.

microbiology↗

bioRxiv2023

A Systems Serology Approach to the Investigation of Infection-Induced Antibody Responses and Protection in Trachoma

BackgroundOcular infections with Chlamydia trachomatis serovars A-C cause the neglected tropical disease trachoma. As infection does not confer complete immunity, repeated infections are common, leading to long term sequelae such as scarring and blindness. Here we apply a systems serology approach to investigate whether systemic antibody features are associated with susceptibility to infection. MethodsSera from children in five trachoma endemic villages in The Gambia were assayed for 23 antibody features: IgG responses towards two Chlamydia trachomatis antigens and three serovars (elementary bodies and major outer membrane protein MOMP, serovars A-C), IgG responses towards five MOMP peptides (serovars A-C), neutralization and antibody-dependent phagocytosis. Participants were considered resistant if they subsequently developed infection only when over 70% of other children in the same compound were infected. ResultsThe antibody features assayed were not associated with resistance to infection (false discovery rate < 0.05). Anti-MOMP SvA IgG and neutralization titer were higher in susceptible individuals (p < 0.05 before multiple testing adjustment). Classification using partial least squares performed only slightly better than chance in distinguishing between susceptible and resistant participants based on systemic antibody profile (specificity 71%, sensitivity 36%). ConclusionsSystemic infection-induced IgG and functional antibody responses do not appear to be protective against subsequent infection. This may be due to confounding factors increasing both past and future exposure to C. trachomatis, or antibody-dependent enhancement. Ocular responses, IgA, avidity or cell-mediated responses may play a greater role in protective immunity than systemic IgG.

immunology↗

bioRxiv2022

BBmix: a Bayesian Beta-Binomial mixture model for accurate genotyping from RNA-sequencing

MotivationWhile many pipelines have been developed for calling genotypes using RNA-sequencing data, they all have adapted DNA genotype callers that do not model biases specific to RNA-sequencing such as reference panel bias or allele specific expression. ResultsHere, we present BBmix, a Bayesian Beta-Binomial mixture model that first learns the expected distribution of read counts for each genotype, and then deploys those learned parameters to call genotypes probabilistically. We benchmarked our model on a wide variety of datasets and showed that our method generally performed better than competitors, mainly due to an increase of up to 1.4% in the accuracy of heterozygous calls. Moreover, BBmix can be easily incorporated into standard pipelines for calling genotypes. We further show that parameters are generally transferable within datasets, such that a single learning run of less than one hour is sufficient to call genotypes in a large number of samples. AvailabilityWe implemented BBmix as an R package that is available for free under a GPL-2 licence at https://gitlab.com/evigorito/bbmix and accompanying pipeline at https://gitlab.com/evigorito/bbmix_pipeline.

genomics↗

bioRxiv2020

Characterisation of the genetic architecture of immune-mediated disease through informed dimension reduction

Integration of genome-wide association study (GWAS) data has been used to generate new hypotheses of biological mechanism, aetiological relationships between traits, or test causality of one factor for another. However, such approaches have typically been limited to pairwise comparisons of traits. We propose a generally applicable method, that exploits ideas from Bayesian genetic fine mapping to define a "lens" that focuses relevant variants before dimension reduction of a set of related GWAS summary statistics. We applied this technique to immune-mediated diseases, deriving 13 components which summarise the multidimensional patterns of genetic risk. Projection of independent datasets demonstrated the specificity and accuracy of our reduced dimension basis, enabled us to functionally characterise individual components, identify disease-discriminating components and suggest novel associations in rare diseases where classical GWAS approaches are challenging. Our approach summarises the genetic architectures underlying any range of aetiologically-related traits in fewer dimensions, facilitating more nuanced multidimensional comparative analyses.

genetics↗

bioRxiv2018

Increased DNA methylation variability in rheumatoid arthritis discordant monozygotic twins

BackgroundRheumatoid arthritis is a common autoimmune disorder influenced by both genetic and environmental factors. Epigenome-wide association studies can identify environmentally mediated epigenetic changes such as altered DNA methylation, which may also be influenced by genetic factors. To investigate possible contributions of DNA methylation to the aetiology of rheumatoid arthritis with minimum confounding genetic heterogeneity, we investigated genome-wide DNA methylation in disease discordant monozygotic twin pairs.\n\nMethodsGenome-wide DNA methylation was assessed in 79 monozygotic twin pairs discordant for rheumatoid arthritis using the HumanMethylation450 BeadChip array (Illumina). Discordant twins were tested for both differential DNA methylation and methylation variability between RA and healthy twins. The methylation variability signature was then compared with methylation variants from studies of other autoimmune diseases and with an independent healthy population.\n\nResultsWe have identified a differentially variable DNA methylation signature, that suggests multiple stress response pathways may be involved in the aetiology of the disease. This methylation variability signature also highlighted potential epigenetic disruption of multiple RUNX3 transcription factor binding sites as being associated with disease development. Comparison with previously performed epigenome-wide association studies of rheumatoid arthritis and type 1 diabetes identified shared pathways for autoimmune disorders, suggesting that epigenetics plays a role in autoimmunity and offering the possibility of identifying new targets for intervention.\n\nConclusionsThrough genome-wide analysis of DNA methylation in disease discordant monozygotic twins, we have identified a differentially variable DNA methylation signature, in the absence of differential methylation in rheumatoid arthritis. This finding supports the importance of epigenetic variability as an emerging component in autoimmune disorders.

genomics↗