Biology subjects

Roche, K.

Publications and source records attributed to Roche, K..

7 recordsLinked to original sources

bioRxiv2024

The effective multiplicity of infection for HCMV depends on activity of the cellular 20S proteasome

Human cytomegalovirus (HCMV) is a betaherpesvirus capable of infecting numerous cell types and persisting throughout an infected individuals life. Disease usually occurs in individuals with compromised or underdeveloped immune systems. Several antivirals exist but have limitations relating to toxicity and resistance. HCMV replication involves upregulation of host proteasomal activities which play important roles in the temporal stages of replication. Here, we defined the impact on replication kinetics of the proteasome inhibitor, bortezomib. We demonstrate that bortezomib significantly reduces levels of viral genomes and infectious virions produced from a population of cells. Inhibition reduced expression of viral proteins that are influenced by genome synthesis. When added prior to 24 hpi, we observe decreases in PCNA and Cdk1 while increases in p21 whose regulations contribute to efficient replication. This response synergized with an antiviral, maribavir. Since some replication occurred, we tested the hypothesis that a subset of infected cells might break through inhibition. Initially, we simulated bortezomib activities using a mechanistic computational model of late-lytic replication. Upon reducing MOI in-silico, we observed near identical simulated results compared to experimental data. Next, we analyzed replication using live-cell imaging. This revealed treated cultures do contain a population of cells with fully developed late-stage cytoplasmic assembly compartments but at significantly lower numbers. We refer to this as the effective MOI. Overall, our studies support a hypothesis in which 20S proteasome inhibition disrupts HCMV replication by reducing the MOI to an effective MOI, defined by a fraction of infected cells capable of progressing to fulminant infection. IMPORTANCEHCMV infection and reactivation continues to contribute to morbidity and mortality around the world. Antiviral compounds are available but have limitations. Here, we have defined the impact of the proteasome inhibitor bortezomib on HCMV replication. Proteasomal activities play a critical role in temporal changes required for replication. We demonstrate that disrupting these activities inhibits viral replication while likely supporting increased antiviral activity of the anti-HCMV agent, maribavir. Using a combination of live cell imaging and computational tools, we discover that a subset of infected cells progresses to fulminant infection which we define as the effective MOI, and this subset would otherwise be missed when analyzing the average of the population.

microbiology↗

bioRxiv2023

Mesenchymal stem cells of the bone marrow raise infectivity of Plasmodium falciparum gametocytes

Plasmodium falciparum is a parasite that causes the deadly human disease, malaria, and exhibits a complex life cycle in the human and mosquito hosts. As the sexual stages of the parasite, gametocytes mature in the human body and propagate malaria when they are picked up by mosquitoes to infect new hosts. Previous research has shown that gametocytes home to the bone marrow of the host where they complete their maturation and alter the behavior of resident Mesenchymal Stem Cells (MSCs). In this study, we investigated the alternate side of this host-pathogen interaction, whether MSCs could alter the behavior of gametocytes. Gametocytes were co-cultured with MSCs until maturity and subsequently fed to mosquitoes to measure the oocysts produced. Here we report for the first time, that MSCs co-culture significantly elevated oocyst numbers in the infected mosquito compared to conventional culture medium. This enhancement appeared to be most effective during the early stages of gametocyte development and was not replicated by other cell types. MSC co-culture also increased infectivity of field isolated P. falciparum parasites. This effect was partially mediated by soluble factor(s) as conditioned medium harvested from MSCs could also partially raise infectivity of gametocytes to nearly half compared to MSC co-culture. Together this study reveals novel host pathogen interactions, where the human MSCs are elevating the infectivity of malaria gametocytes. ImportanceWhile prior research has established that Plasmodium gametocytes sequester in the bone marrow and can influence resident stem cells, the question of why they would choose this compartment and these cells remained a mystery. This study for the first time, shows that being in the presence of MSCs alters the biology of the P. falciparum parasite and makes it more infectious to mosquitoes, hinting at novel mechanisms in its life cycle. This method also facilitates mosquito infections with field isolated parasites, affording research teams new infection models with parasite s which are challenging to infect into mosquitos using conventional culture methods. Finally, our findings that MSC conditioned medium can also raise infectivity opens avenues of investigation into mechanisms involved, but can also serve as a practical tool to researchers hoping to increase oocyst yields.

microbiology↗

bioRxiv2022

Universal gut microbial relationships in the gut microbiome of wild baboons

Ecological relationships between bacteria mediate the services that gut microbiomes provide to their hosts. Knowing the overall direction and strength of these relationships within hosts, and their generalizability across hosts, is essential to learn how microbial ecology scales up to affect microbiome assembly, dynamics, and host health. Here we gain insight into these patterns by inferring thousands of correlations in bacterial abundance between pairs of gut microbiome taxa from extensive time series data (5,534 microbiome profiles from 56 wild baboon hosts over a 13-year period). We model these time series using a statistically robust, multinomial logistic-normal modeling framework and test the degree to which bacterial abundance correlations are consistent across hosts (i.e., "universal") or individualized to each host. We also compare these patterns to two publicly available human data sets. We find that baboon gut microbial relationships are largely universal: correlation patterns within each baboon host reflect a mixture of idiosyncratic and shared patterns, but the shared pattern dominates by almost 2-fold. Surprisingly, the strongest and most consistently correlated bacterial pairs across hosts were overwhelmingly positively correlated and typically belonged to the same family--a 3-fold enrichment compared to pairs drawn from the data set as a whole. The bias towards universal, positive bacterial correlations was also apparent in monthly samples from human infants, and bacterial families that had universal relationships in baboons also tended to be universal in human infants. Together, our results advance our understanding of the relationships that shape gut microbial ecosystems, with implications for microbiome personalization, community assembly and stability, and the feasibility of microbiome interventions to improve host health.

ecology↗

bioRxiv2021

Synchrony and idiosyncrasy in the gut microbiome of wild primates

Human gut microbial dynamics are highly individualized, making it challenging to link microbiota to health and to design universal microbiome therapies. This individuality is typically attributed to variation in host genetics, diets, environments, and medications, but it could also emerge from fundamental ecological forces that shape microbiota more generally. Here we leverage extensive gut microbial time series from wild baboons--hosts who experience little interindividual dietary and environmental heterogeneity--to test whether gut microbial dynamics are synchronized across hosts or largely idiosyncratic. Despite their shared lifestyles, baboon microbiome dynamics were only weakly synchronized. The strongest synchrony occurred among baboons living in the same social group, likely because group members range over the same habitat and simultaneously encounter the same sources of food and water. However, this synchrony was modest compared to each hosts personalized dynamics. Indeed, host-specific factors, especially host identity, explained 10 times the deviance in longitudinal microbial dynamics, compared to factors shared across hosts. These results contribute to mounting evidence that highly idiosyncratic gut microbiomes are not an artifact of modern human environments, and that synchronizing forces in the gut microbiome (e.g., shared environments, diets, and microbial dispersal) are often not strong enough to overwhelm drivers of microbiome personalization, including host genetics, priority effects, horizontal gene transfer, and functional redundancy.

ecology↗

bioRxiv2020

Longitudinal effects of antibiotics and fecal transplant on lemur gut microbiota structure, associations, and resistomes

Antibiotics alter the diversity, structure, and dynamics of host-associated microbial consortia, including via development of antibiotic resistance; however, patterns of recovery from dysbiosis and methods to mitigate negative effects, remain poorly understood. We applied an ecological framework via long-term, integrated study of community structure, across scales, to improve understanding of host-microbe symbiosis during dysbiosis and recovery. We experimentally administered a broad-spectrum antibiotic alone or with subsequent fecal transfaunation to healthy, male ring-tailed lemurs (Lemur catta) and longitudinally tracked the diversity, composition, associations, and resistomes of their gut microbiota. Whereas microbial diversity recovered rapidly in lemurs, antibiotics caused long-term instability in community composition - effects that were attenuated by fecal transfaunation. Antibiotic resistance genes, which were universally present, including in treatment-naive subjects, increased during and persisted after antibiotic treatment. Long-term, integrated study post antibiotic-induced dysbiosis revealed differential, metric-dependent evidence of recovery, beneficial effects of fecal transfaunation, and negative consequences to lemur resistomes.

microbiology↗

bioRxiv2019

PalaeoChip Arctic1.0: An optimised eDNA targeted enrichment approach to reconstructing past environments

Ancient environmental DNA has been established as a viable biomolecular proxy for tracking taxonomic presence through time in a local environment, even in the total absence of primary tissues. It is thought that sedimentary ancient DNA (sedaDNA) survives through mineral binding. And while these organo-mineral complexes likely facilitate long-term preservation, they also challenge our ability to release and isolate target molecules. Two limitations in sedaDNA extraction impede many palaeoenvironmental reconstructions: the post-extraction carryover of enzymatic inhibitors, and sedaDNA loss when attempting to reduce inhibitor co-elution. Here, we present an optimised eDNA targeted enrichment approach for reconstructing past environments. Our new extraction protocol with targeted enrichment averages a 14.6-fold increase in on-target plant and animal DNA compared to a commercial soil extraction kit, and a 22.6-fold increase compared to a PCR metabarcoding approach. To illustrate the effectiveness of the PalaeoChip Arctic1.0 protocol, we present results of plant and animal presence from permafrost samples and discuss new potential evidence for the late survival (ca. 9685 BP) of mammoth (Mammuthus sp.) and horse (Equus sp.) in the Klondike Region of Yukon, Canada. This approach translates to a more diverse and sensitive dataset with increased sequencing efficiency of ecologically informative sedaDNA.

ecology↗

bioRxiv2018

Naught all zeros in sequence count data are the same

Genomic studies feature multivariate count data from high-throughput DNA sequencing experiments, which often contain many zero values. These zeros can cause artifacts for statistical analyses and multiple modeling approaches have been developed in response. Here, we apply common zero-handling models to gene-expression and microbiome datasets and show models disagree on average by 46% in terms of identifying the most differentially expressed sequences. Next, to rationally examine how different zero handling models behave, we developed a conceptual framework outlining four types of processes that may give rise to zero values in sequence count data. Last, we performed simulations to test how zero handling models behave in the presence of these different zero generating processes. Our simulations showed that simple count models are sufficient across multiple processes, even when the true underlying process is unknown. On the other hand, a common zero handling technique known as "zero-inflation" was only suitable under a zero generating process associated with an unlikely set of biological and experimental conditions. In concert, our work here suggests several specific guidelines for developing and choosing state-of-the-art models for analyzing sparse sequence count data.

bioinformatics↗