Biology subjects

Paris, C.

Publications and source records attributed to Paris, C..

10 recordsLinked to original sources

bioRxiv2025

Stimulus sensitivity in noisy neural systems

Understanding how neural populations encode sensory information requires a precise definition of neuronal sensitivity to stimuli. While tuning curves and firing rates offer intuitive insights, theoretical frameworks based on signal-to-noise ratio and decoding efficiency identify Fisher information as the canonical measure of sensitivity, due to its relation with decoding performance. However, this relation holds only under restrictive conditions--when many neurons encode the same stimulus feature or when neural noise is weak. In realistic settings, such as when complex or high-dimensional stimuli are represented by a small ensemble of neurons, Fisher information becomes ill-defined or misleading. To overcome these limitations, we investigate two complementary information-theoretic quantities--the stimulus-specific information (ISSI) and the local information (Iloc)--and propose them as robust alternatives for quantifying sensitivity. We show that ISSI and Iloc converge with Fisher information when signal to noise is large, yet remain meaningful and interpretable beyond that regime. Importantly, these measures capture distinct aspects of sensitivity: ISSI quantifies how observing a response reduces stimulus uncertainty, whereas Iloc reflects how small stimulus perturbations reshape the systems posterior beliefs. Together, they offer a unifying perspective linking information-theoretic and statistical notions of sensitivity, bridging theoretical analysis and experimental investigation of neural coding.

neuroscience↗

bioRxiv2025

Direction-selective retinal ganglion cells encode motion direction uniformly, despite having discretely distributed cardinal preferences

On-Off direction-selective retinal ganglion cells (DS RGCs) exhibit broad tuning curves, responding robustly to motion aligned with or near their preferred direction. These cells comprise four major subtypes, each tuned to motion along one of the four cardinal axes: nasal, superior, temporal, or inferior. However, natural stimuli can move in any direction, and it remains unclear whether intermediate directions are encoded less effectively, or whether this cardinal organization nevertheless supports uniform direction encoding. Here, we combined previous electrophysiological recordings with an information-theoretic measure, the Stimulus Specific Information, to estimate the directional sensitivity of small populations of recorded neurons. This analysis revealed that DS RGC populations are uniformly sensitive across all directions of motion. We then asked whether the observed homogeneous sensitivity was a consequence of DS RGCs maximizing the average stimulus information. Simulations with artificially modified tuning curve widths revealed that DS cells prioritize avoiding pronounced drops in sensitivity over maximizing the average transmitted Information. Maximizing this minimal sensitivity may therefore be a principle to understand the organization of sensory systems.

neuroscience↗

bioRxiv2025

GeneWhisperer: Enhancing manual genome annotation with large language models

Genome annotation is critical for understanding functional elements within genomes. Manual curation is a common practice for identifying the functions of genes, particularly those missed by automated annotation pipelines. However, this process is notoriously labour-intensive and time-consuming. In response to these challenges, we present GeneWhisperer, an innovative assistant system designed to facilitate the manual gene functional annotation process. Utilizing a large language model (LLM) agent, GeneWhisperer provides users access to tools appropriate for specific curation tasks in genome annotation. Featuring a conversational interface, GeneWhisperer fosters effective collaboration between human experts and AI. By synergizing the capabilities of AI with human expertise, GeneWhisperer offers a promising approach to advancing our understanding of gene functions and streamlining the gene annotation process.

bioinformatics↗

bioRxiv2025

Non-invasive eDNA reveals the ecological and genetic status of the Western Capercaillie (Tetrao urogallus aquitanicus) in the Eastern Pyrenees

The Anthropocene era is expected to bring about significant biodiversity and habitat loss for many species. These geographical changes, whether driven by climatic or anthropogenic factors, are likely to lead to considerable alterations in population size, structure, and genetic diversity. Monitoring natural populations is therefore essential to assess these impacts and enable informed conservation strategies for threatened species. The Western Capercaillie (Tetrao urogallus, L. 1758) has a widespread distribution in Boreal forests but fragmented in mountainous regions of the Palearctic, and is locally threatened by climate change, habitat destruction, and human disturbance. Our study focused on the eastern population of the subspecies T. u. aquitanicus, which is endemic to the Pyrenees mountains. The monitoring of this population has relied on direct methods and no genetic information had been generated so far. Here, we conducted a molecular study based on 229 non-invasive samples (faeces) to assess the ecological and genetic status of local population in the Catalan Nature Reserves of the Pyrenees-Orientales (Occitanie region, France). At the individual level, we assessed multi-locus genotypes, sexing, levels of inbreeding, stress level (Fecal Corticosterone Metabolites; FCMs) and diet. At the population level, we assessed sex ratio, genetic diversity and structure. We identified 62 individuals with a balanced sex ratio and estimated a census size of 79 individuals [95%CI = 68-92] in the study area. Genetic diversity was low and suggested significant inbreeding levels. FCM levels were lower in birds of areas considered as disturbed by humans and metabarcoding approach indicated a geographical structuring of diet composition at the reserve scale, with individuals exhibiting feeding behavior upon only one or few plant species. Our estimate of population census size was higher with figures assessed from lek counts, and the genetic approach provided additional insights on this population, establishing a baseline that will support conservation management plans.

ecology↗

bioRxiv2024

Role of a FAD-dependent monooxygenase in diazo group functionalisation of kinamycin in Streptomyces ambofaciens

Kinamycin biosynthesis is a complex process which has been extensively studied over the years, yet specific enzymatic steps continue to be unveiled. A diazo group present in the molecule is responsible for the promising antitumoral activity of kinamycins but its specific installation in Streptomyces ambofaciens is not fully understood. In this study, we explore the diazo functionalization of kinamycin in this strain. A new FAD-dependent monooxygenase is identified which is essential for kinamcyin biosynthesis. In its absence, stealthin C accumulates instead likely as a pathway shunt-product. Furthermore, as a result of the position of the gene encoding this monooxygenase, named alp2F, we also propose new boundaries of the kinamycin biosynthetic gene cluster resulting in a large cluster spanning over 72kb. This work paves the way for the continued understanding of the biosynthetic steps that are characteristic of diazo-containing natural products, and provides new biocatalysts for molecular engineering and accelerate bioactive compounds production.

microbiology↗

bioRxiv2024

Extending the IICR to multiple genomes and identification of limitations of some demographic inferential methods

Reconstructing the demographic history of populations and species is one of the greatest challenges facing population geneticists. [50] introduced, for a sample of size k = 2 haploid genomes, a time- and sample-dependent parameter which they called the IICR (inverse instantaneous coalescence rate). Here we extend their work to larger sample sizes and focus on Tk, the time to the first coalescence event in a haploid sample of size k where k [≥] 2. We define the IICRk as the Inverse Instantaneous Coalescence Rate among k lineages. We show that (i) under a panmictic population [Formula] is equivalent to Ne, (ii) the IICRk can be obtained by either simulating Tk values or by using the Q-matrix approach of [61] and we provide the corresponding Python and R scripts. We then study the properties of the [Formula] under a limited set of n-island and stepping-stone models. We show that (iii) in structured models the [Formula] is dependent on the sample size and on the sampling scheme, even when the genomes are sampled in the same deme. For instance, we find that [Formula] plots for individuals sampled in the same deme will be shifted towards recent times with a lower plateau as k increases. We thus show that (iv) the [Formula] cannot be used to represent "the demographic history" in a general sense, (v) the [Formula] can be estimated from real or simulated genomic data using the PSMC/MSMC methods [44, 65] (vi) the MSMC2 method produces smoother curves that infer something that is not the [Formula], but are close to the [Formula] in the recent past when all samples are obtained from the same deme. Altogether we argue that the PSMC, MSMC and MSMC2 plots are not expected to be identical even when the genomes are sampled from the same deme, that none can be said to represent the "demographic history of populations" and that they should be interpreted with care. We suggest that the PSMC, MSMC and MSMC2 could be used together with the [Formula] to identify the signature of population structure, and to develop new strategies for model choice.

evolutionary biology↗

bioRxiv2023

An atypical endomembrane localized CNL-type immune receptor with a conserved deletion in the N-terminal signaling domain functions in cell death and immunity

Plants have evolved intracellular nucleotide-binding leucine rich repeat receptors (NLRs) to induce a superior immune response. Upon activation, coiled-coil (CC) domain containing NLRs (CNLs) oligomerize to form apparent cation channels that promote calcium influx and cell death induction, with the alpha-1 helix of the individual CC domains penetrating membranes. Some members of a monophyletic subclass of CNLs, the ancient and autonomous NLRs (ANLs), are characterized by putative N- myristoylation and S-acylation sites at the N-terminus of their CCG10/GA domain, potentially mediating permanent membrane association. Whether these Potentially Membrane Localized NLRs (PMLs) mediate cell death upon activation in a similar way as reported for other CNLs has been unknown. We integrated phylogenetic, cell- biological, and functional studies to uncover the cell death function of an atypical but conserved Arabidopsis PML, PML5, which has a 113 amino acid deletion in its CCG10/GA domain. Active PML5 oligomers localize in Golgi membranes and the tonoplast, changes vacuolar morphology, and induce cell death, with the short N- terminus being sufficient for cell death. Mutant analysis supports a potential key role of PMLs in plant immunity. Similar deletions as in Arabidopsis PML5 are found in several Brassicales paralogs, pointing to the evolutionary importance of this innovation. PML5 is thus a naturally occurring CNL variant with a minimal signaling domain and its further study should help in understanding the functional importance of this minimal domain for NLR signaling.

plant biology↗

bioRxiv2023

Biosynthesis of novel desferrioxamine derivatives requires unprecedented crosstalk between separate NRPS-independent siderophore pathways

Iron is essential to many biological processes, but its poor solubility in aerobic environments restricts its bioavailability. To overcome this limitation, bacteria have evolved a variety of strategies, including the production and secretion of iron-chelating siderophores. Here, we describe the discovery of four series of siderophores from Streptomyces ambofaciens ATCC23877, three of which are unprecedented. MS/MS-based molecular networking revealed that one of these series corresponds to acylated desferrioxamines (acyl-DFOs) recently identified from S. coelicolor. The remaining sets include unprecedented tetra- and penta-hydroxamate acyl-DFO derivatives, all of which incorporate a previously undescribed building block. Stable isotope labeling and gene deletion experiments provide evidence that biosynthesis of the acyl-DFO congeners requires unprecedented crosstalk between two separate NRPS-independent siderophore (NIS) pathways in the producing organism. The new derivatives, whose biological role(s) remain to be elucidated, not only illustrate the unanticipated biosynthetic potential of S. ambofaciens, but have interest in immuno-PET imaging applications. ImportanceIron-chelating siderophores play important roles for their bacterial producers in the environment, but they have also found application in human medicine both in iron chelation therapy to prevent iron overload, as well as in advanced imaging applications. In this study we report the discovery of three novel series of related siderophores, whose biosynthesis depends on the interplay between two NRPS-independent (NIS) pathways in the producing organism S. ambofaciens - the first example to our knowledge of such functional cross-talk. We further reveal that two of these series correspond to acyl-desferrioxamines which incorporate four or five hydroxamate units. Although the biological importance of these novel derivatives is unknown, the increased chelating capacity of these metabolites may find utility in diagnostic imaging (for instance 89Zr based immuno-PET imaging) and other applications of metal chelators.

microbiology↗

bioRxiv2019

Targeting DNA damage response and Replication Stress in Pancreatic Cancer

Continuing recalcitrance to therapy cements pancreatic cancer (PC) as the most lethal malignancy, which is set to become the second leading cause of cancer death in our society. We interrogated the transcriptome, genome, proteome and functional characteristics of 61 novel PC patient-derived cell lines to define novel therapeutic strategies targeting the DNA damage response (DDR) and replication stress. We show that patient-derived cell lines faithfully recapitulate the epithelial component of pancreatic tumors including previously described molecular subtypes. Biomarkers of DDR deficiency, including a novel signature of homologous recombination deficiency, co-segregates with response to platinum and PARP inhibitor therapy in vitro and in vivo. We generated a novel signature of replication stress with potential clinical utility in predicting response to ATR and WEE1 inhibitor treatment. Replication stress and DDR deficiency are independent of each other, creating opportunities for therapy in DDR proficient PC, and post-platinum therapy.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=145 SRC=\"FIGDIR/small/713545v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (47K):\norg.highwire.dtl.DTLVardef@106f2b8org.highwire.dtl.DTLVardef@1294d22org.highwire.dtl.DTLVardef@86f5d3org.highwire.dtl.DTLVardef@751e13_HPS_FORMAT_FIGEXP M_FIG C_FIG STATEMENT OF SIGNIFICANCEWe define therapeutic strategies that target subgroups of PC using novel signatures of DNA damage response deficiency and replication stress. This potentially offers patients with DNA repair defects therapeutic options outside standard of care platinum chemotherapy and is being tested in clinical trials on the Precision-Panc platform.

cancer biology↗

bioRxiv2019

Inference of selection from genetic time series using various parametric approximations to the Wright-Fisher model

Detecting genomic regions under selection is an important objective of population genetics. Typical analyses for this goal are based on exploiting genetic diversity patterns in present time data but rapid advances in DNA sequencing have increased the availability of time series genomic data. A common approach to analyze such data is to model the temporal evolution of an allele frequency as a Markov chain. Based on this principle, several methods have been proposed to infer selection intensity. One of their differences lies in how they model the transition probabilities of the Markoiv chain. Using the Wright-Fisher model is a natural choice but its computational cost is prohibitive for large population sizes so approximations to this model based on parametric distributions have been proposed. Here, we compared the performance of some of these approximations with respect to their power to detect selection and estimation of the selection coefficient. We developped a new generic Hidden Markov Model likelihood calculator and applied it on genetic time series simulated under various evolutionary scenarios. The Beta-with-Spikes approximation, which combines discrete fixation probabilities with a continuous Beta distribution, was found to perform consistently better than the others. This distribution provides an almost perfect fit to the Wright-Fisher model in terms of selection inference, for a computational cost that does not increase with population size. We further evaluate this model for population sizes not accessible to the Wright-Fisher model and illustrate its performance on a dataset of two divergently selected chicken populations.

genetics↗