Biology subjects

Gonzalez, A.

Publications and source records attributed to Gonzalez, A..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Phenotypic variability of hydraulic residual conductance and its temperature sensitivity in Abies alba

Residual water losses after stomatal closure have recently been identified as key determinants of drought-induced hydraulic failure, particularly under heatwave conditions. However, little is known about the intraspecific variability of residual conductance (gres) and its thermal sensitivity. Here, we investigated the genetic and environmental sources of variation in gres and its associated thermal parameters (phase transition temperature T_, and temperature sensitivities Q10a and Q10b) in Abies alba Mill., together with vulnerability to xylem embolism (P50). Measurements were performed using the Drought-Box on seven French provenances grown in a common garden to assess genetic variability, and on trees growing across contrasting forest sites to quantify phenotypic plasticity. Seasonal dynamics and within-canopy microclimatic effects were also examined, and linked to needle biochemical traits. Residual conductance exhibited a marked seasonal decline, with high values in newly formed needles followed by a stabilization from late summer to the following spring, closely tracking the accumulation of cuticular waxes. In contrast, Klason lignin content showed little seasonal variation. Difference between provenances was weak for all investigated parameters, suggesting strong constraints on these safety-related traits. By contrast, gres showed significant environmental plasticity, with lower values at more climatically constrained sites, while thermal parameters and P50 remained relatively conserved. Our results identify gres as a developmentally dynamic and environmentally plastic trait in silver fir, potentially representing a key lever of acclimation to drought. Incorporating such variability into mechanistic models should improve predictions of tree vulnerability under future climates combining intensified droughts and heatwaves. Key message.Residual conductance in Abies alba is developmentally dynamic and environmentally plastic but genetically constrained, highlighting its key role in acclimation to drought and heatwave-driven hydraulic failure.

plant biology↗

bioRxiv2026

Ultra-deep sequencing reveals intra-host diversity and co-infection-driven evolution of SARS-CoV-2

As COVID-19 enters an endemic phase, SARS-CoV-2 continues to diversify under ongoing immune pressure, with Omicron sublineages and episodic emergent variants sustaining reinfections worldwide. Intra-host evolution represents the earliest stage of this diversification, yet remains undercharacterized, particularly in regions with limited genomic surveillance. Here, we conducted high-throughput sequencing on 96 nasopharyngeal swab samples from Chilean individuals (2020-2022), achieving an average per-base genome coverage of [~]60,000x across the viral genome. This ultra-deep sequencing coverage enabled the identification of intra-host single-nucleotide variants (iSNVs) and co-infection events with high sensitivity and accuracy. Co-infections, especially with Omicron, significantly increased iSNV frequency and recombination, driving viral diversity. Evolutionary analysis based on the non-synonymous to synonymous ratio (dN/dS) shows that Omicron is under extensive purifying selection (global dN/dS [~] 0.55). However, Omicron co-infection cases exhibited higher dN/dS ratios ([~]0.58), suggesting a lower level of purifying selection and increased genetic diversity. Notably, the Spike gene showed dN/dS ratios indicative of positive selection (dN/dS > 1), which are more pronounced in co-infection cases than in Omicron alone. This suggests that co-infections are providing the substrate for the emergence of new variants with enhanced transmissibility and immune evasion capabilities. Together, these findings demonstrate that ultra-deep sequencing is crucial for mapping the evolutionary forces driving SARS-CoV-2 intra-host adaptation and the emergence of new variants.

genetics↗

bioRxiv2026

Determination of diagnostic cycle threshold (Ct) cut-offs for qPCR-based prevalence surveys of soil-transmitted helminth infections

WHO guidelines for control of soil-transmitted helminths (STH) rely on coproscopic methods to assess population prevalence. In low-prevalence and light-intensity STH settings, quantitative PCR (qPCR) has higher sensitivity and specificity for detection. For qPCR to accurately identify transmissible infections of public health significance, it is essential to interpret the qPCR cycle threshold (Ct) results. As part of the DeWorm3 community-based cluster randomized trial on interrupting STH transmission, we conducted population-based surveys using high-throughput qPCR and aimed to establish appropriate Ct cut-offs to detect transmissible infections. Experimental approaches including egg and genome-equivalent spiking experiments were hindered by inefficient fecal DNA extraction despite optimization efforts. The Ct results for 29,980 samples (pre-intervention, cross-sectional surveys) revealed a bimodal distribution for two of the four species tested, N. americanus and A. lumbricoides. The first peak was assumed to represent transmissible infections, and the second peak to represent indeterminate or non-transmissible infections. Using a finite mixture model, we defined true qPCR positivity as any Ct result with a [≥]5% chance of belonging to the first peak. This approach yielded Ct cut-offs of 34.4398 for N. americanus and 28.57587 for A. lumbricoides. For hookworms, sensitivity of qPCR was 96.7%, compared to 73.2% for Kato-Katz and moderate- to heavy-intensity infections (median Ct: 19.1, interquartile range [IQR]: 17.9-19.8) were differentiated from light-intensity infections and Kato-Katz negative samples (25.3, IQR: 22.5-27.9). Our findings demonstrate the feasibility and utility of evidence-based Ct cut-offs to identify transmissible STH infections in large scale surveys, and to categorize infection intensity as programmatically relevant. Author SummaryQuantitative PCR (qPCR) has been used for the detection of soil-transmitted helminths but with limited emphasis on determining cycle threshold (Ct) cut-offs to accurately identify transmissible infections which are of public health significance. When qPCR is used to assess interventions, or, in the future, to potentially make programmatic decisions, it will be crucial to validate positivity criteria to avoid underestimation (false negatives) or overestimation (false positives) of results. As part of the DeWorm3 trial, a community-based cluster randomized trial on interrupting transmission of STH, we developed and applied a validated STH qPCR to test 29,980 samples collected pre-intervention and explored experimental approaches to establish assay-specific Ct cut-offs. The Ct values from these samples showed a bimodal distribution for N. americanus and A. lumbricoides, suggesting the presence of two distinct groups. For this reason, a statistical approach with a finite mixture model was employed to determine Ct cut-offs that differentiated epidemiologically relevant, transmissible, egg-positive STH infections from those that are likely to represent detection of non-transmissible DNA or indeterminate results. While our data were applied in three different country settings, India, Benin and Malawi, it is important to note that no single Ct cut-off may be applicable across all epidemiological scenarios. Our findings demonstrate the feasibility of developing evidence-based Ct cut-offs with high sensitivity to accurately detect transmissible STH infections in large scale surveys.

microbiology↗

bioRxiv2025

Time-resolved phylogenomics analysis reveals patterns in biosphere nutrient limitation through Earth history

The co-evolution of life and Earth has profoundly transformed global biogeochemical cycles over the past 3.5 billion years. These cycles, in turn, have dictated the availability of essential nutrients like phosphorus, nitrogen, and iron, thereby affecting primary productivity and the scale of the Earths biosphere. Despite the critical role of nutrient limitation in shaping the size and scope of the biosphere, significant uncertainties persist about which nutrients were globally limiting at various points in Earth history. Here, we use a phylogenomic approach to trace the origin and spread of genes associated with nutrient limitation over time. We show that genes associated with phosphorus limitation emerged relatively early in lifes history, whereas genes associated with nitrogen limitation emerged later, closer to the Great Oxidation Event. In terms of iron limitation, we present novel evidence that siderophores, compounds that facilitate iron uptake, may have arisen as early as the Archean. Overall, our results have important implications for understanding how the geosphere has influenced the scale and extent of life on Earth for the past 4 billion years.

bioinformatics↗

bioRxiv2025

Personalised whole-body modelling links gut microbiota to metabolic perturbations in Alzheimer's disease

The human gut microbiome has been linked to metabolic disturbances in Alzheimers disease (AD). However, the mechanisms by which gut microbes might influence metabolic dysfunction in AD remain poorly understood. Previously, we used constraint-based metabolic modelling to associate an increased risk of AD with altered production of microbiome-derived metabolites. In this study, we investigated whether these previous results can also be identified in AD patients. Therefore, we created personalised whole-body metabolic models from gut metagenomics samples from 34 AD dementia patients, 51 individuals with mild cognitive impairments, and 298 healthy controls. These in silico models were profiled to predict the metabolic influences of gut microbiomes on blood metabolites with previously reported alterations in AD. We found an increased capacity of AD host-microbiome co-metabolism to produce S-adenosyl-L-methionine, L-arginine, creatine, taurine, and formate in the blood of AD dementia patients and patients with mild cognitive impairments. The metabolic predictions were then mechanistically linked to gut microbial changes in AD. This analysis identified that increased relative abundances of Bacteroides uniformis and Bacteroides thetaiotamicron were key factors driving the predicted metabolic changes. Furthermore, the predicted altered microbial influences on blood metabolites were also associated with allelic variations in the APOE risk gene in healthy individuals, which confirmed our previous findings. In conclusion, we identified blood metabolites whose perturbations in AD may be influenced by gut microbiota and predicted the key microbial drivers for these metabolic influences. These findings may facilitate the development of microbiome-informed treatments of AD.

systems biology↗

bioRxiv2025

Quantification of Human DNA from Century-Old Archived FFPE Samples for Retrospective Genomic Studies

BackgroundFormalin-fixed, paraffin-embedded (FFPE) tissue archives are an invaluable resource for genomic research, offering the potential to link genomic data to long-term clinical outcomes. Their utility has however been limited by the degradation caused by fixation and long-term storage, particularly for samples archived for many decades. MethodsThis study evaluates a cohort of 79 FFPE tissue blocks collected and archived in 1973 from the Strasbourg Pathological Tissue Archive (SPTA), and a cohort of 51 FFPE tissue blocks from the Geneva Brain Bank (GBB), collected between 1928 and 1971. DNA was quantified using a forensic-grade quantitative PCR (qPCR) assay (QIAGEN Investigator Quantiplex Pro Kit on a Rotor-Gene Q) to precisely measure human DNA concentration, assess degradation, and detect PCR inhibition. ResultsA high proportion of the samples yielded human DNA fragments of 80bp and 95bp and very few fragments of 205bp. All organ samples treated with Bouin liquid (n=12) gave poor results, but among samples fixed in formalin (n=117), 58.1% showed over 0.25ng/{micro}L of 80bp human DNA fragments and 37.6% over 1ng/{micro}L. We propose a model to describe the decay of these samples and estimate the proportion of samples that should yield at least a 0.25ng/{micro}L concentration of fragments over 100bp to 45.1%. ConclusionsThis work demonstrates that automated extraction methods optimized for FFPE allow for the recovery of usable material even in century-old archived samples with inconsistent conditions of conservation. Our data suggests that the time spent in storage is much less influential on DNA quality than initial fixation time. Crucially, given the fragmented nature of the material recovered (an expected result), future analyses of this material will have to be conducted using next-generation sequencing (NGS) technologies and approaches that rely on short fragments.

genetics↗

bioRxiv2025

The menstrual cycle through the lens of a wearable device: insights into physiology, sleep, and cycle variability

Women on average have 450 menstrual cycles in a lifetime, but we lack a characterization of physiological biometrics across the cycle and lifespan. We analyzed 1.2 million days of data from 2,596 women who logged 42,759 menstrual cycles and wore a device that collected sleep and biometric data including resting heart rate (RHR), heart rate variability, respiratory rate, skin temperature, and blood oxygen saturation level. We generated novel quantifications of daily biometrics across ages and cycle lengths, finding that cycle length is strongly associated with how much cardiorespiratory metrics vary across the cycle. We observed greater cycle variability for participants who slept 6 versus 8 hours. A within-participant natural experiment showed that decreased sleep resulted in biometric changes regardless of cycle phase (e.g., RHR increased 1.2% with a 10% decrease in weekly sleep duration). These results lay a foundation to better understand and optimize female health and performance.

physiology↗

bioRxiv2025

Environmental and Maternal Imprints on Infant Gut Metabolic Programming

Early life is a critical period for immune and metabolic programming, but developmental patterns remain underexplored in populations from low- and middle-income countries. Here, we profiled the microbiome and metabolome of 55 Bangladeshi mother-infant dyads over the first six months of life. Importantly, we observed an increase in microbially-derived bile amidates and N-acyl lipids with age in conjunction with reads matching the bile salt hydrolase/transferase (bsh) gene. While microbial source tracking confirmed maternal fecal seeding, a substantial environmental contribution was also highlighted. Differences in infant fecal metabolic profiles were associated with delivery mode, maternal milk composition, household assets, and household-level water treatment. C-section delivery and untreated drinking water were linked to transient metabolic differences, including increases in bile amidates, N-acyl lipids, and other host-microbe co-metabolic products, including acylcarnitines. Multi-omics analysis revealed specific microbial-metabolite relationships, highlighting how early environmental and maternal living circumstances shape metabolic gut programming through the microbiome.

microbiology↗

bioRxiv2025

Epidermal γδ T cells, CD8 T cells and macrophages are increased in number in alopecia areata and express BST2 as part of an interferon-driven antiviral gene signature

Alopecia areata is an autoimmune disorder affecting approximately 2% of the global population, characterized by immune-mediated disruption of hair follicle immune privilege and unpredictable hair loss. While CD4 and CD8 T cells are established drivers of pathogenesis, the roles of other immune cell populations remain incompletely defined. Here, we reaffirm the pathogenic role of CD8 T cells and identify a contribution of epidermal {gamma}{delta} T cells and macrophages to alopecia areata. Using publicly available single-cell RNA sequencing (scRNAseq) data from the skin of C3H/HeJ mice with alopecia areata, we demonstrate that epidermal {gamma}{delta} T cells upregulate genes associated with immune homeostasis, proliferation, and inflammation, including BST2, an interferon-stimulated antiviral protein. In vivo, epidermal {gamma}{delta} T cells and keratinocytes are increased in number, with BST2 expression enriched around hair follicles. BST2 is also expressed on CD8 T cells actively producing IFN-{gamma} and on CD11b+ macrophages with signatures of antiviral and complement system pathways. In human alopecia areata skin, BST2 expression is elevated in alopecia areata and downregulated following treatment with the JAK inhibitor tofacitinib. Together, these findings position BST2 as a marker of interferon-driven immune activation and highlight epidermal {gamma}{delta} T cells as a contributor to alopecia areata pathogenesis.

immunology↗

bioRxiv2025

Nutrient Enrichment and Connectivity Jointly Shape Bacterioplankton Diversity

It is increasingly important to understand the response of freshwater communities and ecosystems to fertilizers given their widespread usage and the propensity for these fertilizers to runoff into rivers and lakes. Dispersal, an important ecological factor mediated by landscape connectivity, could potentially counteract the impacts of anthropogenic stressors through the reintroduction of communities unperturbed by local stressors. However, this potential has not yet been studied in the context of nutrient stressed natural communities. Here, we investigate the impacts of nutrient enrichment and connectivity on freshwater bacterioplankton communities. We subjected mesocosms stocked with native bacterioplankton communities to different combinations of nutrient enrichment and connectivity (volumes of water transferred between mesocosms). We show that nutrient enrichment strongly structures the bacterioplankton community, favoring nutrient tolerant taxa and depressing taxonomic diversity. Connectivity, however, interacts with nutrient enrichment to restore functional diversity in communities subjected to the highest levels of nutrient stress. Despite the ameliorating effects of dispersal, nutrient enrichment leaves a consistent signature in communities, driving a shift from more heterotrophic to more phototrophic communities. Taken together, our results demonstrate that while nutrient enrichment significantly impacts freshwater bacterioplankton communities, connectivity can help restore functional diversity to a certain extent.

ecology↗

bioRxiv2025

Novel insights into the genetic architecture and mechanisms of host/microbiome interactions from a multi-cohort analysis of outbred laboratory rats

The intestinal microbiome influences health and disease. Its composition is affected by host genetics and environmental exposures. Understanding host genetic effects is critical but challenging in humans, due to the difficulty of detecting, mapping and interpreting them. To address this, we analysed host genetic effects in four cohorts of outbred laboratory rats exposed to distinct but controlled environments. We found that polygenic host genetic effects were consistent across environments. We identified three replicated microbiome-associated loci, one of which involved a sialyltransferase gene and Paraprevotella. We found a similar association in a human cohort, between ST6GAL1 and Paraprevotella, both of which have been linked with immune and infectious diseases. Moreover, we found evidence of indirect genetic effects on microbiome phenotypes, which substantially increased their total genetic variance. Finally, we identified a novel mechanism whereby indirect genetic effects can contribute to "missing heritability".

genetics↗

bioRxiv2025

Ecological relationships between human gut bacteria predicted from analysis of dense microbiome time series data from US travelers in Bangladesh

Gut microbiomes provide critical host homeostatic functions, resulting from a complex web of ecological interactions among community members. We studied these interactions using a time-lagged correlational strategy of dense longitudinal sequence data from Western individuals traveling abroad to Bangladesh who experienced diarrhea. We identified both negative (140) and positive (78) relationships between bacterial pairs. Positive relationships occurred in pairs that were significantly more phylogenetically distant, such as inter-order associations between Clostridiales and Bacteroidales, while negative relationships were more between more phylogenetically related pairs. Further analysis of computationally predicted genome content and metabolic pathways revealed that cooperative bacterial pairs overlapped less in function and offered each other metabolic support, while competitive pairs were more likely to compete for the same resources. Predicted levels of B vitamins (B5 and B3), enoyl acyl- carrier protein (acp) reductase II (FabK) and its metabolites, and nucleotide/nucleoside derivatives were able to differentiate negatively and positively associated microbe pairs. Ultimately, our findings show that combining time-series analysis with metabolic/genomic network analysis can identify relationships between bacteria with plausible causal mechanisms that are consistent with existing ecological and biochemical observations. IMPORTANCEUnderstanding how microbes in the gut interact with each other is important for devising strategies to target the human gut microbiome therapeutically. For instance, understanding competitive relationships, where a shared need of similar limited resources limits the degree to which two microbes can co-exist, can inform strategies for limiting colonization of undesirable microbes. Understanding cooperative relationships, where one microbe provides the other with substrates needed for growth, can inform strategies to promote desirable microbes. By evaluating dense time-series gut microbiome data from individuals who experienced diarrhea while traveling, we were able to predict both cooperative and competitive relationships among human gut microbes as those whose abundances were significantly related within an individual over time. Strikingly, in subsequent analyses performed using inferred genomic information, pairs with negative associations from the time series analysis were predicted to compete over more metabolic substrates, and pairs with positive associations had significantly more metabolic complementarity. These predictions regarding the underlying molecular bases of interactions could inform how nutritional environment will impact interactions between gut microbiome community members.

microbiology↗

bioRxiv2025

Early resident NK cell response to local HIV infection in lymphoid tissue

Natural killer (NK) cells are critical mediators of antiviral immunity, yet their role in lymphoid tissues--key reservoirs of HIV persistence--remains poorly defined. Here, we uncover a distinct cytotoxic signature of tonsil-resident NK cells essential for targeting HIV-infected CD4 T cells. Using a human tonsillar model of HIV infection and extracellular matrix-based functional assays, we identify a subset of NK cells co-expressing CD69, CD49a, CD103, and the adaptive marker NKG2C as potent effectors against autologous HIV-infected tissue CD4 T cells. Both CD16 and CD16- NK subsets exhibited cytotoxic antiviral activity. However, HIV infection induced profound functional alterations in these NK cells, including dysregulated expression of CD9, TRAF2, ITGA1, suggesting disrupted activation, signaling, and tissue residency. Functional assays corroborated a significant impairment in the cytotoxic capacity, indicating HIV-driven NK cell dysfunction. Intriguingly, a subset of immature CD16-CD69 NK cells underwent functional reprogramming, transitioning into a migration-competent, and metabolically primed state, driven by the upregulation of NUMAI, LCP1, SLC38A1, MT-ND2, NUMA1, MYH9, and CD44. Functional assays confirmed this transition, revealing changes in the expression of immune checkpoint receptors and a gain of cytotoxic function in these reprogrammed cells. These findings advance our understanding of NK cell biology in HIV infection and highlight novel avenues for NK-cell-based therapeutic strategies.

immunology↗

bioRxiv2025

Persistent interferon signaling that causes sensory neuron plasticity and pain in arthritis

While the inflammatory processes in rheumatoid arthritis have been described, mechanisms driving pain are poorly defined. Here, we used a multitude of approaches to uncover the neural basis, mediators, intracellular signaling pathway and the mechanism of inflammatory pain. In cartilage autoantibody-induced arthritis mice, an early immune-activation and a cytokine storm were mainly driven by vascular cells and monocyte/macrophages in the dorsal root ganglion. However, persistently elevated interferons and receptor-activation of the MNK1/2-eIF4E signaling pathway at all disease phases caused sensory-motor dysfunction and pain by inducing hyperexcitability and sensitization of Gfra3+ sensory neurons. Like mice, human sensory neurons expressed interferon receptors and interferons were elevated only in individuals with painful rheumatoid arthritis. Signaling pathway inhibition in vivo reversed pain and restored limb function. The finding that joint pain before and during arthritis is caused by a defined cytokine and signaling pathway holds promise for targeted therapies for pain relief in arthritis.

neuroscience↗

bioRxiv2025

Community assembly modeling of microbial evolution within Barrett's esophagus and esophageal adenocarcinoma

Mathematical modeling of somatic evolution, a process impacting both host cells and microbial communities in the human body, can capture important dynamics driving carcinogenesis. Here we considered models for esophageal adenocarcinoma (EAC), a cancer that has dramatically increased in incidence over the past few decades in Western populations, with high case fatality rates due to late-stage diagnoses. Despite advancements in genomic analyses of the precursor Barretts esophagus (BE), prevention of late-stage EAC remains a significant clinical challenge. Previous microbiome studies in BE and EAC have focused on quantifying static microbial abundance differences rather than evolutionary dynamics. Using whole genome sequencing data from esophageal tissues, we first applied a robust bioinformatics pipeline to extract non-host DNA reads, mapped these putative reads to microbial taxa, and retained those taxa with high genomic coverage. When applying mathematical models of microbial evolution to sequential stages of progression to EAC, we observed evidence of neutral dynamics in community assembly within normal esophageal tissue and BE, but not EAC. In a case-control study of BE patients who progressed to EAC cancer outcomes (CO) versus those who had non-cancer outcomes (NCO) during follow-up (mean=10.5 years), we found that Helicobacter pylori deviated significantly from the neutral expectation in BE NCO, suggesting that factors related to H. pylori or H. pylori infection itself may influence EAC risk. Additionally, simulations incorporating selection recapitulated non-neutral behaviors observed in the datasets. Formally modeling dynamics during progression holds promise in clinical applications by offering a deeper understanding of microbial involvement in cancer development.

cancer biology↗

bioRxiv2024

Dynamics of N-genes and T-genes in cancer

Common knowledge states that the spontaneous somatic evolution of a normal tissue may lead to a tumor. Once the tumor is formed, it naturally evolves towards a state of higher malignancy. On the other hand, perfect gene expression markers for normal tissue and tumor--the so-called N-genes and T-genes--were recently introduced. We join these two pieces of knowledge in order to argue that: 1) Only N-markers participate in the spontaneous dynamics of a normal tissue. The number of active markers decreases as the tissue approaches the transition point where it becomes a tumor. 2) Only T-markers participate in the spontaneous dynamics of tumors. The number of markers increases as the tumor becomes more malignant. 3) Both sets of genes are connected by the so-called NT-genes, i.e., genes that are simultaneously N- and T-markers. They should play a crucial role at the transition point and, possibly, when the tumor is exposed to a drug or therapy. 4) The pathways or mechanisms protecting the normal tissue from becoming a tumor may be described by a small perfect panel of N-genes. 5) The pathways or mechanisms guiding the evolution of tumors in a tissue may be described by a small perfect panel of T-genes. We illustrate the above statements with the analysis of expression data for prostate adenocarcinoma, one of the most heterogeneous tumors. In this case, there are about 1000 N-genes and 6000 T-genes, and the perfect N- and T-panels contain 11 and 8 genes, respectively. Additionally, we provide examples from lung adenocarcinoma and liver hepatocarcinoma.

cancer biology↗

bioRxiv2024

Pre-exposure to stress reduces loss of community and genetic diversity following severe environmental disturbance

Environmental stress caused by anthropogenic impacts is increasing worldwide. Understanding the ecological and evolutionary consequences for biodiversity will be crucial for our ability to respond effectively. Historical exposure to environmental stress is expected to select for resistant species, shifting community composition towards more stress-tolerant taxa. Concurrent with this species sorting process, genotypes within resistant taxa that have the highest relative fitness under severe stress are expected to increase in frequency, leading to evolutionary adaptation. However, empirical demonstrations of these dual ecological and evolutionary processes in natural communities are lacking. Here, we provide the first evidence for simultaneous species sorting and evolutionary adaptation across multiple species within a natural freshwater bacterial community. Using a two-phase stressor experimental design (acidification pre-exposure followed by severe acidification) in aquatic mesocosms, we show that pre-exposed communities were more resistant than naive communities to taxonomic loss when faced with severe acid stress. However, after sustained severe acidification, taxonomic richness of both pre-exposed and naive communities eventually converged. All communities experiencing severe acidification became dominated by an acidophilic bacterium, Acidiphilium rubrum, but this species retained greater genetic diversity and followed distinct evolutionary trajectories in pre-exposed relative to naive communities. These patterns were shared across other acidophilic species, providing repeated evidence for the impact of pre-exposure on evolutionary outcomes despite the convergence of community profiles. Our results underscore the need to consider both ecological and evolutionary processes to accurately predict the responses of natural communities to environmental change.

evolutionary biology↗

bioRxiv2024

A three-country analysis of the gut microbiome indicates taxon associations with diet vary by location and strain

Emerging research suggests that diet plays a vital role in shaping the composition and function of the gut microbiota. While significant efforts have been made to identify general patterns linking diet to the gut microbiome, much of this research lacks representation from low- and middle-income countries such as Mexico. Additionally, both diet and the gut microbiome have highly complex and individualized configurations, and there is growing evidence that tailoring diets to individual gut microbiota profiles may optimize the path toward improving or maintaining health and preventing disease. Using fecal metagenomic data from 1,291 individuals across three countries, we examine two bacterial genera prevalent in the human gut, Prevotella and Faecalibacterium, which have gained significant attention due to their potential roles in human health. We find that they show significant associations with many aspects of diet, but that these associations vary in scale and direction, depending on the level of metagenomic resolution and the contextual population. These results highlight the growing importance of assembling metagenomic datasets that are standardized, comprehensive, and representative of diverse populations to increase our ability to tease apart the complex relationship between diet and the microbiome.

microbiology↗