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Biology subjects

Martin, V.

Publications and source records attributed to Martin, V..

15 recordsLinked to original sources

Spatial auditory change detection in listeners with hearing loss

Everyday listening relies on the auditory systems ability to automatically monitor the background soundscape and detect new or changing sources. Although change detection is a fundamental aspect of situational awareness, little is known about how hearing impairment affects this ability. This study examined how sensorineural hearing loss influences spatial auditory change detection. Older hearing-impaired listeners (N = 30) completed a spatial change detection task requiring them to identify the appearance of a new sound source within a complex spatialised acoustic scene. Hearing loss was characterised by three factors that were measured with standard clinical tests: audiometric hearing thresholds, sensitivity to small level changes, and sensitivity to spectrotemporal modulation. Simple and mixed-effects linear models were used to test how these factors predicted reaction time, hit rate, and false alarm rate. Listeners with poorer spectrotemporal sensitivity, higher audiometric hearing thresholds, and older age showed slower and less accurate detection, whereas sensitivity to small changes in level did not predict outcomes. Detection also varied with spatial location, where appearing sources from behind were detected more slowly and less accurately than those from the front or sides. Numerical analysis using head-related transfer functions confirmed that these rear-field effects were unlikely to be explained by overall or frequency-specific acoustic level differences. These findings reveal that hearing loss, age, and spatial factors jointly shape listeners ability to monitor dynamic auditory scenes. Additionally, testing spectrotemporal sensitivity offers a promising clinical measure of non-speech auditory processing with relevance for hearing-aid fitting and situational awareness.

neuroscience↗

Tri-Functional CRISPR Screen Reveals Overexpression of QDR2 and QDR3 Transporters Increase Fumaric Acid Production in Kluyveromyces marxianus

Organic acids such as fumaric acid are widely used in the food and beverage industry as acidulants and preservatives, while also serving as versatile precursors for industrially relevant compounds. Fumaric acid is still predominantly produced through petroleum-derived processes. To enhance production efficiency and diversify supply, we are engineering Kluyveromyces marxianus as a biosynthetic platform from renewable feedstocks. In previous work, we have established K. marxianus Y-1190 as a host for lactose valorization based on its high growth rate on lactose and its tolerance for acid conditions. Here, we establish a trifunctional genome-wide library for K. marxianus using CRISPR activation, interference, and deletion to allow identification of gene expression perturbations that enhance tolerance to fumaric acid. We determined that deletion of ATP7, encoding a subunit of the mitochondrial F1F0 ATP synthase, and overexpression of QDR2 and QDR3, two previously uncharacterized members of the 12-spanner H antiporter (DHA1) family in K. marxianus, can enhance fumaric acid tolerance. We also found that integrated overexpression of both QDR2 and QDR3 in a {Delta}FUM1 background strain improved titers of fumaric acid production from 0.26 g L-1 to 2.16 g L-1. Together, these results highlight roles for membrane transport and mitochondrial function in enabling fumaric acid tolerance and production in K. marxianus. HIGHLIGHTS- Trifunctional CRISPR-AID enables gene activation, interference & deletion in K. marxianus. - Genome-wide CRISPR-AID screen identifies guides conferring fumaric acid tolerance. - verexpressing of QDR2 and QDR3 increases fumaric acid tolerance and production. - Deletion of mitochondrial gene ATP7 significantly improves fumaric acid tolerance. - Fermentation of QDR2 and QDR3 overexpression strain yields 2.16 g L-{superscript 1} fumaric acid.

synthetic biology↗

WHOOPER Web application for Hands-On identification of proteins co-Occurrence among Phyla, focused on user ERgonomics

SummaryWHOOPER is an intuitive web application designed to facilitate the analysis of protein co-occurrence across taxa. By integrating HHblits and HMMER, it enables efficient detection of remote homologs across extensive proteomic datasets. Its results interface combines an original data representation with advanced dynamic filtering functionalities to enable real-time exploration and exploitation of alignment data. Addressing key limitations of existing tools, WHOOPER streamlines workflows for studying protein prevalence, co-occurrence, and phylogenetic patterns, supporting seamless export for downstream evolutionary and functional genomics research. Availability and implementationThe code for Whopper is available at https://github.com/SmartBioInf/whooper. A public instance allowing the screening of more than 7500 reference proteomes from eukaryotes, bacteria, and archaea is available at: https://whooper.migale.inrae.fr Contactsylvain.marthey@inrae.fr

bioinformatics↗

Assessing Behavioral and Neural Correlates of Change Detection in Spatialized Acoustic Scenes

The ability to detect changes in complex auditory scenes is crucial for human survival, yet the neural mechanisms underlying this process remain elusive. This study investigates how the presence and location of sound sources impacts active auditory change detection as well as neural correlates of passive change detection. We employed stimuli designed to minimize semantic associations while preserving naturalistic temporal envelopes and broadband spectra, presented in a spatial loudspeaker array. Behavioral change detection experiments tasked participants with detecting new sources added to spatialized and non-spatialized multi-source auditory scenes. In a passive listening experiment, participants were given a visual decoy task while neural data were collected via electroencephalography (EEG) during exposure to unattended spatialized scenes and added sources. Our behavioral experiments (N = 21 and 21) demonstrated that spatializing sounds facilitated change detection compared to non-spatialized presentation, but that performance declined with increasing number of sound sources and higher hearing thresholds at high frequencies, exclusively in spatialized conditions. Slower reaction times were also observed when changes occurred from above or behind the listener, exacerbated by a higher number of sources. EEG experiments (N = 32 and 30), using the same stimuli, showed robust change-evoked responses. However, no significant differences were detected in our analysis as a function of spatial location of the appearing source.

neuroscience↗

Benzylisoquinoline alkaloid production in yeast via norlaudanosoline improves selectivity and yield

The benzylisoquinoline alkaloid (BIA) family of tetrahydroisoquinolines (THIQs) comprises over 2,500 members, including the pharmaceuticals morphine, codeine, and papaverine as well as the antibiotics sanguinarine and chelerythrine used in animal husbandry. Agricultural cultivation can currently supply the demand for the BIAs that accumulate in plants, but broader access to the entire BIA family would open new avenues of research and commercialization. Microbial synthesis presents an attractive option due to cheap feedstock, genetic tractability, and ease of scale-up. Previously we reported titers of the key branch-point BIA (S)-reticuline of 4.6 g/L in yeast, which was achieved through leveraging the Ehrlich pathway 2-oxoacid decarboxylase Aro10 to generate the intermediate 4-hydroxyphenylacetaldehyde (4-HPAA). Here, we establish a superior route to (S)-reticuline by switching the pathway intermediate from 4-HPAA to 3,4-dihydroxyphenylacetaldehyde (3,4-dHPAA) using human monoamine oxidase A (MAO). The resulting (S)-norlaudanosoline route to (S)-reticuline synthesis is more selective, resolving prior issues with off-pathway THIQs synthesized due to concerted enzyme promiscuity. The new pathway is also more efficient, enabling titers of 4.8 g/L (S)-reticuline while improving yields over 40%, from 17 mg/g sucrose to 24 mg/g sucrose in fed-batch fermentations. Finally, we extend de novo (S)-reticuline synthesis to dihydrosanguinarine, achieving 635 mg/L dihydrosanguinarine and sanguinarine in fed-batch fermentation the highest reported titer of these BIAs by a factor of 40. HighlightsO_LIMonoamine oxidase A (MAO) supports high-titer (S)-reticuline synthesis in yeast C_LIO_LIMAO route to (S)-reticuline improves specificity compared to Aro10 route C_LIO_LIThis work represents a 40% increase in highest reported (S)-reticuline yield C_LIO_LI653 mg/L (dihydro-) sanguinarine was produced by extending the pathway C_LI

synthetic biology↗

Screening non-conventional yeasts for organic acid tolerance and engineering Pichia occidentalis for production of cis,cis-muconic acid

Saccharomyces cerevisiae is a workhorse of industrial biotechnology owing to the organisms prominence in alcohol fermentation and the suite of sophisticated genetic tools available to manipulate its metabolism. However, S. cerevisiae is not suited to overproduce many bulk bioproducts, as toxicity constrains production at high titers. Here we employ a high-throughput assay to screen 108 publicly accessible yeast strains for tolerance to 20 g L-1 adipic acid (AA), a nylon precursor. We identify 15 tolerant yeasts and select Pichia occidentalis for production of cis,cis-muconic acid (CCM), a precursor to AA. By developing a genome editing toolkit for P. occidentalis, we demonstrate fed-batch production of CCM with a maximum titer (38.8 g L-1), yield (0.134 g g-1 glucose) and productivity (0.511 g L-1 h-1) that surpasses all metrics achieved using S. cerevisiae. This work brings us closer to the industrial bioproduction of AA and underscores the importance of host selection in bioprocessing.

synthetic biology↗

CRAPS: Chromosomal-Repair-Assisted Pathway Shuffling in yeast

A fundamental challenge of metabolic engineering involves assembling and screening vast combinations of orthologous enzymes across a multi-step biochemical pathway. Current pathway assembly workflows involve combining genetic parts ex vivo and assembling one pathway configuration per tube or well. Here we present CRAPS, Chromosomal-Repair-Assisted Pathway Shuffling, an in vivo pathway engineering technique that enables the self-assembly of one pathway configuration per cell. CRAPS leverages the yeast chromosomal repair pathway and utilizes a pool of inactive, chromosomally integrated orthologous gene variants corresponding to a target multi-step pathway. Supplying gRNAs to the CRAPS host activates the expression of one gene variant per pathway step, resulting in a unique pathway configuration in each cell. We deployed CRAPS to build more than 1,000 combinations of a four-step carotenoid biosynthesis network. Sampling the CRAPS pathway space yielded strains with distinct color phenotypes and carotenoid product profiles. We anticipate that CRAPS will expedite strain engineering campaigns by enabling the generation and sampling of vast biochemical spaces.

synthetic biology↗

Pathway elucidation and microbial synthesis of proaporphine and bis-benzylisoquinoline alkaloids from sacred lotus (Nelumbo nucifera)

Sacred lotus (Nelumbo nucifera) has been utilized as a food, medicine, and spiritual symbol for nearly 3,000 years. The medicinal properties of lotus are largely attributed to its unique profile of benzylisoquinoline alkaloids (BIAs), which includes potential anti-cancer, anti-malarial and anti-arrhythmic compounds. BIA biosynthesis in sacred lotus differs markedly from that of opium poppy and other members of the Ranunculales, most notably in an abundance of BIAs possessing the (R)-stereochemical configuration and the absence of reticuline, a major branchpoint intermediate in most BIA producers. Owing to these unique metabolic features and the pharmacological potential of lotus, we set out to elucidate the BIA biosynthesis network in N. nucifera. Here we show that lotus CYP80G (NnCYP80G) and a superior ortholog from Peruvian nutmeg (Laurelia sempervirens; LsCYP80G) stereospecifically convert (R)-N-methylcoclaurine to the proaporphine alkaloid glaziovine, which is subsequently methylated to pronuciferine, the presumed precursor to nuciferine. While sacred lotus employs a dedicated (R)-route to aporphine alkaloids from (R)-norcoclaurine, we implemented an artificial stereochemical inversion approach to flip the stereochemistry of the core BIA pathway. Exploiting the unique substrate specificity of dehydroreticuline synthase from common poppy (Papaver rhoeas) and pairing it with dehydroreticuline reductase enabled de novo synthesis of (R)-N-methylcoclaurine from (S)- norcoclaurine and its subsequent conversion to pronuciferine. We leveraged our stereochemical inversion approach to also elucidate the role of NnCYP80A in sacred lotus metabolism, which we show catalyzes the stereospecific formation of the bis-BIA nelumboferine. Screening our collection of 66 plant O-methyltransferases enabled conversion of nelumboferine to liensinine, a potential anti-cancer bis-BIA from sacred lotus. Our work highlights the unique benzylisoquinoline metabolism of N. nucifera and enables the targeted overproduction of potential lotus pharmaceuticals using engineered microbial systems.

synthetic biology↗

Divergent Directed Evolution of a TetR-type Repressor Towards Aromatic Molecules

Reprogramming cellular behaviour is one of the hallmarks of synthetic biology. To this end, prokaryotic allosteric transcription factors (aTF) have been repurposed as versatile tools for processing small molecule signals into cellular responses. Expanding the toolbox of aTFs that recognize new inducer molecules is of considerable interest in many applications. Here, we first establish a resorcinol responsive aTF-based biosensor in Escherichia coli using the TetR-family repressor RolR from Corynebacterium glutamicum. We then perform an iterative walk along the fitness landscape of RolR to identify new inducer specificities, namely catechol, methyl catechol, caffeic acid, protocatechuate, L-DOPA, and the tumour biomarker homovanillic acid. Finally, we demonstrate the versatility of these engineered aTFs by transplanting them into the model eukaryote Saccharomyces cerevisiae. This work provides a framework for efficient aTF engineering to expand ligand specificity towards novel molecules on laboratory timescales, which, more broadly, is invaluable across a wide range of applications such as protein and metabolic engineering, as well as point-of-care diagnostics.

synthetic biology↗

Transcription Factor-Centric Approach to Identify Non-Recurring Putative Regulatory Drivers in Cancer

Recent efforts to sequence the genomes of thousands of matched normal-tumor samples have led to the identification of millions of somatic mutations, the majority of which are non-coding. Most of these mutations are believed to be passengers, but a small number of non-coding mutations could contribute to tumor initiation or progression, e.g. by leading to dysregulation of gene expression. Efforts to identify putative regulatory drivers rely primarily on information about the recurrence of mutations across tumor samples. However, in regulatory regions of the genome, individual mutations are rarely seen in more than one donor. Instead of using recurrence information, here we present a method to identify putative regulatory driver mutations based on the magnitude of their effects on transcription factor-DNA binding. For each gene, we integrate the effects of mutations across all its regulatory regions, and we ask whether these effects are larger than expected by chance, given the mutation spectra observed in regulatory DNA in the cohort of interest. We applied our approach to analyze mutations in a liver cancer data set with ample somatic mutation and gene expression data available. By combining the effects of mutations across all regulatory regions of each gene, we identified dozens of genes whose regulation in tumor cells is likely to be significantly perturbed by non-coding mutations. Overall, our results show that focusing on the functional effects of non-coding mutations, rather than their recurrence, has the potential to identify putative regulatory drivers and the genes they dysregulate in tumor cells.

genomics↗

Engineering yeast for de-novo synthesis of the insect repellent - nepetalactone

While nepetalactone, the active ingredient in catnip, is a potent insect repellent, its low in planta accumulation limits its commercial viability as an alternative repellent. Here we describe a platform for de novo nepetalactone production in Saccharomyces cerevisiae, enabling sustainable and scalable production. Nepetalactone production required introduction of eight exogenous genes including the cytochrome P450 geraniol-8-hydroxylase, which represented the bottleneck of the heterologous pathway. Combinatorial assessment of geraniol-8-hydroxylase and cytochrome P450 reductase variants, as well as copy-number variations were used to overcome this bottleneck. We found that several reductases improved hydroxylation activity, with a higher geraniol-8-hydroxylase ratio further increasing 8-hydroxygeraniol titers. Another roadblock was the accumulation of an unwanted metabolite that implied inefficient channeling of carbon through the pathway. With the native yeast old yellow enzymes previously shown to use monoterpene intermediates as substrates, both homologs were deleted. These deletions increased 8-hydroxygeraniol yield, resulting in a final de novo accumulation of 3.10 mg/L/OD600 of nepetalactone from simple sugar in microtiter plates. Our pathway optimization will aid in the development of high yielding monoterpene S. cerevisiae strains.

synthetic biology↗

A 3D human liver model of nonalcoholic steatohepatitis

AO_SCPLOWBSTRACTC_SCPLOWWe have developed an in vitro preclinical 3D Non-Alcoholic SteatoHepatitis (NASH) model by co-culturing four human primary liver cell types: hepatocytes, stellate, endothelial and Kupffer cells. Cells were embedded in a hydrogel of rat collagen in 96-well plate and a NASH-like environment was induced with a medium containing free fatty acids (FFAs) and tumor necrosis factor (TNF). This model was characterized by biochemical, imaging and transcriptomics analysis. On the one hand, we succeed in defining suitable culture conditions to maintain the 3D co-culture up to 10 days in vitro with the lowest level of steatosis, and reproducible low levels of inflammation and fibrosis. On the other hand, we induced NASH disease with a custom medium mimicking NASH features (hepatocyte injury, steatosis, inflammation and fibrosis). The 10-day cell viability and cost effectiveness of the model make it suitable for medium throughput drug screening and provide attractive avenues to better understand disease physiology and to identify and characterize new drug targets. SO_SCPLOWUMMARYC_SCPLOWWe developed a 3D human liver model which exhibits many features of non-alcoholic steatohepatitis and that could become a platform for medium throughput drug screening.

cell biology↗

Asymmetric post-translational modifications regulate the intracellular distribution of unstimulated STAT3 dimers

Signal Transducer and Activator of Transcription 3 (STAT3) is a ubiquitous and pleiotropic transcription factor that plays essential roles in normal development, immunity, response to tissue damage and cancer. We have developed a Venus-STAT3 bimolecular fluorescence complementation (BiFC) assay that allows the visualization and study of STAT3 dimerization and protein-protein interactions in living cells. Inactivating mutations on residues susceptible to post-translational modifications (K49R, K140R, K685R, Y705F and S727A) did not alter the basal dimerization of unstimulated STAT3, but changed significantly the intracellular distribution of STAT3 dimers. Surprisingly, the distribution of specific asymmetric STAT3 dimers (i.e. the STAT3 molecules carry different mutations) was different from symmetric dimers. Our results indicate that asymmetric post-translational modifications on STAT3 dimers could constitute a new level of regulation of STAT3 signaling. This set of Venus-STAT3 BiFC constructs provides yet unexplored means to advance our understanding of STAT3 behavior and function in cancer and beyond.

cell biology↗

Fin whale (Balaenoptera physalus) mitogenomics: A cautionary tale of defining sub-species from mitochondrial sequence monophyly

HighlightsO_LIMitochondrial monophyly is commonly employed to define evolutionary significant units.\nC_LIO_LIMonophyly may be caused by insufficient sampling or a recent common ancestor.\nC_LIO_LIMitogenomic studies are generally based on few samples and prone to sampling issues.\nC_LIO_LIExpanded mitogenome sampling negates previous monophyly in fin whales.\nC_LI\n\nAbstractThe advent of massive parallel sequencing technologies has resulted in an increase of studies based upon complete mitochondrial genome DNA sequences that revisit the taxonomic status within and among species. Spatially distinct monophyly in mitogenomic genealogies, i.e., the sharing of a recent common ancestor among con-specific samples collected in the same region has been viewed as evidence for subspecies. Several recent studies in cetaceans have employed this criterion to suggest subsequent intraspecific taxonomic revisions. We reason that employing intra-specific, spatially distinct monophyly at non-recombining, clonally inherited genomes is an unsatisfactory criterion for defining subspecies based upon theoretical (genetic drift) and practical (sampling effort) arguments. This point is illustrated by a re-analysis of a global mitogenomic assessment of fin whales, Balaenoptera physalus spp., published by Archer et al. (2013) which proposed to further subdivide the Northern Hemisphere fin whale subspecies, B. p. physalus. The proposed revision was based upon the detection of spatially distinct monophyly among North Atlantic and North Pacific fin whales in a genealogy based upon complete mitochondrial genome DNA sequences. The extended analysis conducted in this study (1,676 mitochondrial control region, 162 complete mitochondrial genome DNA sequences and 20 microsatellite loci genotyped in 358 samples) revealed that the apparent monophyly among North Atlantic fin whales reported by Archer et al. (2013) to be due to low sample sizes. In conclusion, defining sub-species from monophyly (i.e., the absence of para-or polyphyly) can lead to erroneous conclusions due to relatively \"trivial\" aspects, such as sampling. Basic population genetic processes (i.e., genetic drift and migration) also affect the time to most recent common ancestor and hence the probability that individuals in a sample are monophyletic.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=195 SRC=\"FIGDIR/small/488130v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (28K):\norg.highwire.dtl.DTLVardef@1e38e54org.highwire.dtl.DTLVardef@9533eborg.highwire.dtl.DTLVardef@183b5b5org.highwire.dtl.DTLVardef@eae09_HPS_FORMAT_FIGEXP M_FIG C_FIG

evolutionary biology↗

Changing geographic patterns and risk factors for avian influenza A(H7N9) infection in China

The 5th epidemic wave in 2016-2017 of avian influenza A(H7N9) virus in China caused more human cases than any previous waves but the factors that may explain the recent range expansion and surge in incidence remain unknown. We investigated the effect of anthropogenic, poultry and wetland information and of market closures on all epidemic waves (1-5). Poultry predictor variables recently became much more important than before, supporting the assumption of much wider H7N9 transmission in the chicken reservoir, that could be linked to increases in pathogenicity. We show that the future range expansion of H7N9 to northern China may translate into a higher risk of coinciding peaks with those of seasonal influenza, leading to a higher risk of reassortments. Live-poultry market closures are showed to be effective in reducing the local incidence rates of H7N9 human cases, but should be paired with other prevention and control measures to prevent transmission.

epidemiology↗