Biology subjects

Sanchez, A.

Publications and source records attributed to Sanchez, A..

At least 91 records · Page 5Linked to original sources

bioRxiv2020

Dissimilarity-Overlap Analysis of Replicate Enrichment Communities

The taxonomic composition of microbial communities can vary substantially between individual hosts and within the same host over time. Efforts to build quantitative and predictive models of microbial population dynamics are underway, but fundamental questions remain. How different are population dynamics in different hosts? Do communities that share the same taxa also exhibit identical dynamics? In vitro communities can help establish baseline expectations that are critical towards resolving these questions in natural communities. Here, we applied a recently developed tool, Dissimilarity-Overlap Analysis (DOA), to a set of experimental in vitro communities that differed in nutrient composition. The Dissimilarity and Overlap of these communities are negatively correlated in replicate habitats, as one would expect if microbial population dynamics were on average strongly convergent (or "universal") across these replicate habitats. However, the existence of such a negative correlation does not necessarily imply that population dynamics are always universal in all communities. Even in replicate, identical habitats, two different communities may contain the same set of taxa at different abundances in equilibrium. The formation of alternative states in community assembly is strongly associated with the presence of specific taxa in the communities. Our results benchmark DOA, providing support for some of its core assumptions, and suggest that communities sharing the same taxa and external abiotic factors generally (but not necessarily) have a negative correlation between Dissimilarity and Overlap.

ecology↗

bioRxiv2020

Regulation of the MLH1-MLH3 endonuclease in meiosis

During prophase of the first meiotic division, cells deliberately break their DNA. These DNA breaks are repaired by homologous recombination, which facilitates proper chromosome segregation and enables reciprocal exchange of DNA segments between homologous chromosomes, thus promoting genetic diversity in the progeny1. A successful completion of meiotic recombination requires nucleolytic processing of recombination intermediates. Genetic and cellular data implicated a pathway dependent on the putative MLH1-MLH3 (MutL{gamma}) nuclease in generating crossovers, but mechanisms that lead to its activation were unclear2-4. Here, we have biochemically reconstituted key elements of this pro-crossover pathway. First, we show that human MSH4-MSH5 (MutS{gamma}), which was known to support crossing over5-7, binds branched recombination intermediates and physically associates with MutL{gamma}. This helps stabilize the ensemble at joint molecule structures and adjacent dsDNA. Second, we show that MutS{gamma} directly stimulates DNA cleavage by the MutL{gamma} endonuclease, which demonstrates a novel and unexpected function for MutS{gamma} in triggering crossing-over. Third, we find that MutL{gamma} activity is further stimulated by EXO1, but only when MutS{gamma} is present. Fourth, we also identify the replication factor C (RFC) and the proliferating cell nuclear antigen (PCNA) as additional components of the nuclease ensemble, and show that S. cerevisiae strains expressing PIP box-mutated MutL{gamma} present striking defects in forming crossovers. Finally, we show that the MutL{gamma}-MutS{gamma}-EXO1-RFC-PCNA nuclease ensemble preferentially cleaves DNA with Holliday junctions, but shows no canonical resolvase activity. Instead, the multilayered nuclease ensemble likely processes meiotic recombination intermediates by nicking dsDNA adjacent to junction points8. Since DNA nicking by MutL{gamma} is dependent on its co-factors, the asymmetric distribution of MutS{gamma} and RFC/PCNA on meiotic recombination intermediates may drive biased DNA cleavage. This unique mode of MutL{gamma} nuclease activation might explain crossover-specific processing of Holliday junctions within the meiotic chromosomal context3, 9.

biochemistry↗

bioRxiv2019

Mechanism of in vivo activation of the MutLγ-Exo1 complex for meiotic crossover formation

Crossovers generated during the repair of programmed double-strand breaks (DSBs) during homologous recombination are essential for fertility to allow accurate homolog segregation during the first meiotic division. Most crossovers arise through the cleavage of recombination intermediates by the Mlh1-Mlh3 (MutL{gamma}) endonuclease and an elusive non-catalytic function of Exo1, and require the Polo kinase Cdc5. Here we show in budding yeast that MutL{gamma} forms a constitutive complex with Exo1, and in meiotic cells transiently contacts the Msh4-Msh5 (MutS{gamma}) heterodimer, also required for crossover formation. We further show that MutL{gamma}-Exo1 associates with recombination intermediates once they are committed to the crossover repair pathway, and then Exo1 recruits Cdc5 through a direct interaction that is required for activating MutL{gamma} and crossover formation. Exo1 therefore serves as a non-catalytic matchmaker between Cdc5 and MutL{gamma}. We finally show that in vivo, MutL{gamma} associates with the vast majority of DSB hotspots, but at a lower frequency near centromeres, consistent with a strategy to reduce at-risk crossover events in these regions. Our data highlight the tight temporal and spatial control of the activity of a constitutive, potentially harmful, nuclease.

molecular biology↗

bioRxiv2019

CellCountCV - a web-application for accurate cell counting and automated batch processing of microscopy images using fully-convolutional neural networks

The in vitro cellular models are promising tools for studying normal and pathological conditions. One of their important applications is the development of genetically engineered biosensor systems to investigate the processes occurring in living cells in real time. Today, there are fluorescence protein based sensory systems for detecting various substances in living cells (for example, hydrogen peroxide, ATP, Ca2+ etc.) or for detecting processes such as endoplasmic reticulum stress. Such systems help to study mechanisms underlying the pathogenic processes and diseases and for screening potential therapeutic compounds. It is also necessary to develop new tools for processing and analysis of obtained microimages. Here we present our web-application CellCountCV for automation of microscopy cell images analysis which is based on fully-convolutional deep neural networks. This approach can efficiently deal with non-convex overlapping objects, that are virtually inseparable with conventional image processing methods. The cell counts predicted with CellCountCV were very close to expert estimates (the average error rate was < 4%). CellCountCV was used to analyse large series of microscopy images obtained in experimental studies and it was able to demonstrate the endoplasmic reticulum stress development and to catch the dose-dependent effect of tunicamycin.

cell biology↗

bioRxiv2019

Transcription-replication conflicts as a source of common fragile site instability caused by BMI1-RNF2 deficiency

Common fragile sites (CFSs) are breakage-prone genomic loci, and are considered to be hotspots for genomic rearrangements frequently observed in cancers. Understanding the underlying mechanisms for CFS instability will lead to better insight on cancer etiology. Here we show that Polycomb group proteins BMI1 and RNF2 are suppressors of transcription-replication conflicts (TRCs) and CFS instability. Cells depleted of BMI1 or RNF2 showed slower replication forks and elevated fork stalling. These phenotypes are associated with increase occupancy of RNA Pol II (RNAPII) at CFSs, suggesting that the BMI1-RNF2 complex regulate RNAPII elongation at these fragile regions. Using proximity ligase assays, we showed that depleting BMI1 or RNF2 causes increased associations between RNAPII with EdU-labeled nascent forks and replisomes, suggesting increased TRC incidences. Increased occupancy of a fork protective factor FANCD2 and R-loop resolvase RNH1 at CFSs are observed in RNF2 CRISPR-KO cells, which are consistent with increased transcription-associated replication stress in RNF2-deficient cells. Depleting FANCD2 or FANCI proteins further increased genomic instability and cell death of the RNF2-deficient cells, suggesting that in the absence of RNF2, cells depend on these fork-protective factors for survival. These data suggest that the Polycomb proteins have non-canonical roles in suppressing TRC and preserving genomic integrity. Author summaryIncreasing evidence suggest that instabilities at common fragile sites (CFSs), breakage-prone genomic loci, may be source of genomic aberration seen in cancer cells. Among the proposed mechanisms that can cause CFSs instabilities is the conflict between transcription and replication, and the mechanisms or factors that resolve the possible conflicts are only beginning to be understood. Here we found that deficiency in the Polycomb group proteins BMI1 or RNF2 leads to the CFS instability, and is associated with transcription-associated replication fork stresses. We further found that in the absence of RNF2, cells depend on the Fanconi Anemia fork-protective proteins for genome maintenance and survival. These results underscore that the Polycomb proteins are important for genome maintenance.

cell biology↗

bioRxiv2019

Identification of circular RNAs in porcine spermatozoa and their relation to sperm motility

Circular RNAs (circRNAs) are emerging as a novel class of noncoding RNAs which potential role as gene regulators is quickly gaining interest. Although circRNAs have been studied in several tissues and cell types across several animal species, the characterization of the circRNAome in ejaculated sperm remains unexplored. In this study, we profiled the sperm circRNA catalogue in 40 boar samples. A complex population of 1,598 circRNAs was shared in at least 30 samples. The predicted circRNAs presented in general low abundances and were highly tissue-specific. Circa 80% of the circRNAs identified in the boar sperm were reported as novel. We also constructed a circRNA-miRNA interaction network based on experimental and predictive microRNA (miRNA) binding sites. Moreover, we found significant correlation between the abundance of some circRNAs and sperm motility parameters and confirmed two of these correlations by RT-qPCR in 36 samples with extreme sperm quality. Our study provides a thorough characterization of a novel cell type for the circRNA encyclopedia collection and suggests that circRNAs are potential noninvasive biomarkers for male sperm quality and thus, might also hold potential to predict male fertility.

genomics↗

bioRxiv2018

A thorough RNA-seq characterization of the porcine sperm transcriptome and its seasonal changes

Understanding the molecular basis of cell function and ultimate phenotypes is crucial for the development of biological markers. With this aim, several RNA-seq studies have been devoted to characterize the transcriptome of ejaculated spermatozoa in relation to sperm quality and fertility. Semen quality follows a seasonal pattern and decays in the summer months in several animal species. The aim of this study was to deeply profile the transcriptome of the boar sperm and to evaluate its seasonal changes. We sequenced the total and the short fractions of the sperm RNA from 10 Pietrain boars, 5 collected in summer and 5 five sampled in winter, and identified a complex and rich transcriptome with 4,436 coding genes of moderate to high abundance. Transcript fragmentation was high but less obvious in genes related to spermatogenesis, chromatin compaction and fertility. Short non-coding RNAs mostly included piwi-interacting RNAs, transfer RNAs and micro-RNAs. We also compared the transcriptome of the summer and the winter ejaculates and identified 34 coding genes and 7 micro-RNAs with a significantly distinct distribution. These genes were mostly related to oxidative stress, DNA damage and autophagy. This is the deepest characterization of the boar sperm transcriptome and the first study linking the transcriptome and the seasonal variability of semen quality in animals. The annotation described here can be used as a reference for the identification of markers of sperm quality in pigs.

genomics↗

bioRxiv2018

Hyperinsulinemia promotes aberrant histone acetylation in triple negative breast cancer

Excess levels of insulin relative to glucose in the blood, or hyperinsulinemia, is considered to be a poor prognostic indicator for patients with triple negative breast cancer (TNBC). While this association has been recognized for some time, the mechanistic role of hyperinsulinemia in promoting TNBC remains unclear. We show that insulin treatment leads to genome-wide increase in histone acetylation, in particular at H3K9, through the PI3K/AKT/mTOR pathway in MDA-MB-231 cells. Genome-wide analysis showed that the increase in histone acetylation occurs primarily at gene promoters. In addition, insulin induces higher levels of reactive oxygen species and DNA damage foci in cells. In vivo, hyperinsulinemia also enhances growth of MDA-MB-231 derived tumors through increased histone acetylation. These results demonstrate the impact of hyperinsulinemia on altered gene regulation through chromatin and the importance of targeting hyperinsulinemia-induced processes that lead to chromatin dysfunction in TNBC.

molecular biology↗

bioRxiv2018

Microbiota profiling with long amplicons using Nanopore sequencing: full-length 16S rRNA gene and whole rrn operon

BackgroundProfiling microbiome on low biomass samples is challenging for metagenomics since these samples are prone to present DNA from other sources, such as the host or the environment. The usual approach is sequencing specific hypervariable regions of the 16S rRNA gene, which fails to assign taxonomy to genus and species level. Here, we aim to assess long-amplicon PCR-based approaches for assigning taxonomy at the genus and species level. We use Nanopore sequencing with two different markers: full-length 16S rRNA ([~]1,500 bp) and the whole rrn operon (16S rRNA gene - ITS - 23S rRNA gene; 4,500 bp).\n\nMethodsWe sequenced a clinical isolate of Staphylococcus pseudintermedius, two mock communities (HM-783D, Bei Resources; D6306, ZymoBIOMICS) and two pools of lowbiomass samples (dog skin). Nanopore sequencing was performed on MinION (Oxford Nanopore Technologies) using 1D PCR barcoding kit. Sequences were pre-processed, and data were analyzed using WIMP workflow on EPI2ME (ONT) or Minimap2 software with rrn database.\n\nResultsFull-length 16S rRNA and the rrn operon retrieved the microbiota composition from the bacterial isolate, the mock communities and the complex skin samples, even at the genus and species level. For Staphylococcus pseudintermedius isolate, when using EPI2ME, the amplicons were assigned to the correct bacterial species in [~]98% of the cases with rrn operon as the marker, and [~]68% of the cases with 16S rRNA gene respectively. In both skin microbiota samples, we detected many species with an environmental origin. In chin, we found different Pseudomonas species in high abundance, whereas in dorsal skin there were more taxa with lower abundances.\n\nConclusionsBoth full-length 16S rRNA and the rrn operon retrieved the microbiota composition of simple and complex microbial communities, even from the low-biomass samples such as dog skin. For an increased resolution at the species level, rrn operon would be the best choice.

microbiology↗

bioRxiv2018

Robust and conserved stochastic self-assembly mechanism for dynamic ParB-parS partition complexes on bacterial chromosomes and plasmids

Chromosome and plasmid segregation in bacteria are mostly driven by ParABS systems. These DNA partitioning machineries rely on large nucleoprotein complexes assembled on centromere sites (parS). However, the mechanism of how a few parS-bound ParB proteins nucleate the formation of highly concentrated ParB clusters remains unclear despite several proposed physico-mathematical models. We discriminated between these different models by varying some key parameters in vivo using the plasmid F partition system. We found that Nucleation & caging is the only coherent model recapitulating in vivo data. We also showed that the stochastic self-assembly of partition complexes (i) does not directly involve ParA, (ii) results in a dynamic structure of discrete size independent of ParB concentration, and (iii) is not perturbed by active transcription but is by protein complexes. We refined the Nucleation & Caging model and successfully applied it to the chromosomally-encoded Par system of Vibrio cholerae, indicating that this stochastic self-assembly mechanism is widely conserved from plasmids to chromosomes.

systems biology↗

bioRxiv2018

Available energy fluxes drive a phase transition in the diversity, stability, and functional structure of microbial communities

A fundamental goal of microbial ecology is to understand what determines the diversity, stability, and structure of microbial ecosystems. The microbial context poses special conceptual challenges because of the strong mutual influences between the microbes and their chemical environment through the consumption and production of metabolites. By analyzing a generalized consumer resource model that explicitly includes cross-feeding, stochastic colonization, and thermodynamics, we show that complex microbial communities generically exhibit a transition as a function of available energy fluxes from a "resource-limited" regime where community structure and stability is shaped by energetic and metabolic considerations to a diverse regime where the dominant force shaping microbial communities is the overlap between species consumption preferences. These two regimes have distinct species abundance patterns, different functional profiles, and respond differently to environmental perturbations. Our model reproduces large-scale ecological patterns observed across multiple experimental settings such as nestedness and differential beta diversity patterns along energy gradients. We discuss the experimental implications of our results and possible connections with disorder-induced phase transitions in statistical physics.

biophysics↗

bioRxiv2018

High-order interactions dominate the functional landscape of microbial consortia

Understanding the link between community composition and function is a major challenge in microbial ecology, with implications for the management of natural microbiomes and the design of synthetic consortia. For this purpose, it is critical to understand the extent to which community functions and properties can be predicted from species traits and what role is played by complex interactions. Inspired by the study of complex genetic interactions and fitness landscapes, here we have examined how the amylolytic function of combinatorial assemblages of seven starch-degrading soil bacteria depends on the functional contributions from each species and their interactions. Filtering our experimental results through the theory of enzyme kinetics, we show that high-order functional interactions dominate the amylolytic rate of our consortia, even though this function is biochemically simple, redundantly distributed in the community, and additive in the absence of inter-species interactions. As the community grows in size, the contribution of high-order functional interactions grows too, making the community function increasingly unpredictable. We can explain the prevalence of high order effects and their sign from the redundancy of ecological interactions in the network, in particular from redundant facilitation towards a high-performing community member. Our results suggest that even simple functions can be dominated by complex interactions, posing challenges for the predictability and bottom-up engineering of ecosystem function in complex multi-species communities.

ecology↗

bioRxiv2018

Sexual maturation and embryonic development in octopus: use of energy and antioxidant defense mechanisms using Octopus mimus as a model.

Sexual maturation and reproduction influence the status of a number of physiological processes and consequently the ecology and behaviour of cephalopods. Using Octopus mimus as model species, the present study examined the changes in biochemical composition that take place during gonadal maturation of octopus females and its consequences in embryo and hatchlings characteristics, including energetic metabolites, digestive enzymes and antioxidant defence mechanisms. A total of 32 Octopus mimus adult females were sampled during ovarian maturation; biochemical composition (metabolites and digestive enzymes) of digestive gland (DG) and ovaries (only metabolites) were followed during physiological and functional maturation. Levels of protein (Prot), triacyl glycerol (TG), cholesterol (Chol), glucose (Glu) and glycogen (Gly) were evaluated. The activity of alkaline and acidic enzymes also was measured in DG. Simultaneously, groups of eggs coming from mature females were sampled along development, and metabolites (Prot, TG, Glu, Gly, TG, Chol), digestive enzymes activity (Lipases, alkaline and acidic), antioxidant defence mechanisms and radical oxygen species (ROS) were evaluated. This study shows that ovarium is a site for reserve of some nutrients for reproduction. Presumably, TG where stored at the beginning of the maturation processes followed by Chol, both at the same time were energetically supported by Glu, derived from Gly following gluconeogenic pathways. Nutrients and enzymes (metabolic, digestive and REDOX system) where maintained without significant changes and in a low activity during organogenesis. Our findings suggest that activity was not energetically costly; in contrast, during the embryo growth there was mobilization of nutrients and activation of the metabolic and digestive enzymes. Increments in consumption of yolk and glycogen, and reduction in molecules associated with oxidative stress allowed paralarvae to hatch with the antioxidant defence mechanisms ready to support ROS production.

physiology↗

bioRxiv2018

On the deformability of an empirical fitness landscape by microbial evolution

A fitness landscape is a map between the genotype and its reproductive success in a given environment. The topography of fitness landscapes largely governs adaptive dynamics, constraining evolutionary trajectories and the predictability of evolution. Theory suggests that this topography can be \"deformed\" by mutations that produce substantial changes to the environment. In spite of its importance, the deformability of fitness landscapes has not been systematically studied beyond abstract models, and little is known about its reach and consequences in empirical systems. Here we have systematically characterized the deformability of the genome-wide metabolic fitness landscape of the bacterium E. coli. Deformability is quantified by the non-commutativity of epistatic interactions, which we experimentally demonstrate in mutant strains on the path to an evolutionary innovation. Our analysis shows that the deformation of fitness landscapes by metabolic mutations rarely affects evolutionary trajectories in the short-range. However, mutations with large environmental effects leave these as a \"legacy\", producing long-range landscape deformations in distant regions of the genotype space that affect the fitness of later descendants. Our methods and results provide the basis for an integration between adaptive and eco-evolutionary dynamics with complex genetics and genomics.

evolutionary biology↗

bioRxiv2018

Cohesiveness in microbial community coalescence

Microbial invasions exhibit many unique properties; notably, entire microbial communities often invade one another, a phenomenon known as community coalescence. In spite of the potential importance of this process for the dynamics and stability of microbiome assembly, our understanding of it is still very limited. Recent theoretical and empirical work has proposed that large microbial communities may exhibit an emergent cohesiveness, as a result of collective consumer-resource interactions and metabolic feedbacks between microbial growth and the environment. A fundamental prediction of this proposal is the presence of ecological co-selection during community coalescence, where the invasion success of a given taxon is determined by its community members. To establish the generality of this prediction in experimental microbiomes, we have performed over one hundred invasion and coalescence experiments with environmental communities of different origins that had spontaneously and stably assembled in two different synthetic aerobic environments. We show that the dominant species of the coalesced communities can both recruit their community members (top-down co-selection) and be recruited by them (bottom-up co-selection) into the coalesced communities. Our results provide direct evidence that collective invasions generically produce ecological co-selection of interacting species, emphasizing the importance of community-level interactions during microbial community assembly.

ecology↗

bioRxiv2017

Regulatory mechanisms are revealed by the distribution of transcription initiation times in single microbial cells

Transcription is the dominant point of control of gene expression. Biochemical studies have revealed key molecular components of transcription and their interactions, but the dynamics of transcription initiation in cells is still poorly understood. This state of affairs is being remedied with experiments that observe transcriptional dynamics in single cells using fluorescent reporters. Quantitative information about transcription initiation dynamics can also be extracted from experiments that use electron micrographs of RNA polymerases caught in the act of transcribing a gene (Miller spreads). Inspired by these data we analyze a general stochastic model of transcription initiation and elongation, and compute the distribution of transcription initiation times. We show that different mechanisms of initiation leave distinct signatures in the distribution of initiation times that can be compared to experiments. We analyze published micrographs of RNA polymerases transcribing ribosomal RNA genes in E.coli and compare the observed distributions of inter-polymerase distances with the predictions from previously hypothesized mechanisms for the regulation of these genes. Our analysis demonstrates the potential of measuring the distribution of time intervals between initiation events as a probe for dissecting mechanisms of transcription initiation in live cells.

biophysics↗

bioRxiv2017

Emergent Simplicity in Microbial Community Assembly

Microbes assemble into complex, dynamic, and species-rich communities that play critical roles in human health and in the environment. The complexity of natural environments and the large number of niches present in most habitats are often invoked to explain the maintenance of microbial diversity in the presence of competitive exclusion. Here we show that soil and plant-associated microbiota, cultivated ex situ in minimal synthetic environments with a single supplied source of carbon, universally re-assemble into large and dynamically stable communities with strikingly predictable coarse-grained taxonomic and functional compositions. We find that generic, non-specific metabolic cross-feeding leads to the assembly of dense facilitation networks that enable the coexistence of multiple competitors for the supplied carbon source. The inclusion of universal and non-specific cross-feeding in ecological consumer-resource models is sufficient to explain our observations, and predicts a simple determinism in community structure, a property reflected in our experiments.

ecology↗

bioRxiv2017

Using MinION to characterize dog skin microbiota through full-length 16S rRNA gene sequencing approach

The most common strategy to assess microbiota is sequencing specific hypervariable regions of 16S rRNA gene using 2nd generation platforms (such as MiSeq or Ion Torrent PGM). Despite obtaining high-quality reads, many sequences fail to be classified at the genus or species levels due to their short length. This pitfall can be overcome sequencing the full-length 16S rRNA gene (1,500bp) by 3rd generation sequencers.\n\nWe aimed to assess the performance of nanopore sequencing using MinION on characterizing microbiota complex samples. First set-up step was performed using a staggered mock community (HM-783D). Then, we sequenced a pool of several dog skin microbiota samples previously sequenced by Ion Torrent PGM. Sequences obtained for full-length 16S rRNA with degenerated primers retrieved increased richness estimates at high taxonomic level (Bacteria and Archaea) that were missed with short-reads. Besides, we were able to obtain taxonomic assignments down to species level, although it was not always feasible due to: i) incomplete database; ii) primer set chosen; iii) low taxonomic resolution of 16S rRNA gene within some genera; and/or iv) sequencing errors. Nanopore sequencing of the full-length 16S rRNA gene using MinION with 1D sequencing kit allowed us inferring microbiota composition of a complex microbial community to lower taxonomic levels than short-reads from 2nd generation sequencers.

microbiology↗