Biology subjects

Gandara, L.

Publications and source records attributed to Gandara, L..

9 recordsLinked to original sources

bioRxiv2024

Laser NIR irradiation enhances antimicrobial photodynamic inactivation of biofilms of Staphylococcus aureus

Photodynamic inactivation (PDI) utilizes a photosensitizer (PS) activated by visible light to generate reactive oxygen species (ROS), to kill bacteria. PDI is effective against planktonic microorganisms, but biofilms are less sensitive due to limited PS and oxygen penetration. Near-infrared treatment (NIRT), involve the use of near-infrared light to kill bacteria either via thermal effects or ROS production. Our objective was to enhance S. aureus biofilms sensitivity to PDI by pre-treating with NIR irradiation before visible light exposure. In an in vitro biofilm model, laser NIRT (980 nm) followed by exposure to PDI, showed a synergistic effect on bacterial viability loss (4-log CFU vs 1-log loss with individual treatments). Interestingly, pre-heating liquid medium had no significant impact on PDI efficacy, suggesting that both thermal and non-thermal effects of NIR may be involved. NIRT increased PS uptake, induced clefts in the biofilm matrix, and released bacterial cells from the biofilm. NIRT induced a transient increase in the temperature to 46{degrees}C of in vitro cultures, however under the same conditions, when mice were irradiated, skin temperature rose to 37{degrees}. Our findings suggest that NIR irradiation serves as a complementary treatment to PDI, allowing reducing PS concentration, and highlighting its potential as an effective and resource-efficient antibacterial approach.

biochemistry↗

bioRxiv2024

LarvaTagger: Manual and automatic tagging of Drosophila larval behaviour

MotivationAs more behavioural assays are carried out in large-scale experiments on Drosophila larvae, the definitions of the archetypal actions of a larva are regularly refined. In addition, video recording and tracking technologies constantly evolve. Consequently, automatic tagging tools for Drosophila larval behaviour must be retrained to learn new representations from new data. However, existing tools cannot transfer knowledge from large amounts of previously accumulated data. We introduce LarvaTagger, a piece of software that combines a pre-trained deep neural network, providing a continuous latent representation of larva actions for stereotypical behaviour identification, with a graphical user interface to manually tag the behaviour and train new automatic taggers with the updated ground truth. ResultsWe reproduced results from an automatic tagger with high accuracy, and we demonstrated that pre-training on large databases accelerates the training of a new tagger, achieving similar prediction accuracy using less data. AvailabilityAll the code is free and open source. Docker images are also available. See git-lab.pasteur.fr/nyx/LarvaTagger.jl.

bioinformatics↗

bioRxiv2024

Pervasive sublethal effects of agrochemicals as contributing factors to insect decline

Insect biomass is declining across the globe at an alarming rate. Climate change and the widespread use of pesticides have been hypothesized as two underlying drivers. However, the lack of systematic experimental studies across chemicals and species limits our causal understanding of this problem. Here, we employed a chemical library encompassing 1024 different molecules--including insecticides, herbicides, fungicides, and plant growth inhibitors --to investigate how insect populations are affected by varying concentrations of pesticides, focusing on sublethal doses. Using a controlled laboratory pipeline for Drosophila melanogaster, we found that 57% of these chemicals affect the behavior of larvae at sublethal concentrations, and an even higher proportion compromises long-term survivability after acute exposure. Consistent with these results, we observed that exposure to chemicals at doses orders of magnitude below lethality induced widespread phosphorylation changes across the larval proteome. The effects of agrochemicals were amplified when the ambient temperature was increased by four degrees. We also tested the synergistic effects of multiple chemicals at doses found widely in nature and observed fitness-reducing changes in larval developmental time, behavior, and reproduction. Finally, we expanded our investigation to additional fly species, mosquitos, and butterflies and detected similar behavioral alterations triggered by pesticides at sublethal concentrations. Our results provide experimental evidence that strongly suggests sublethal doses of agrochemicals coupled with changes in environmental temperatures are contributing to the global decline in insect populations. We anticipate that our assays can contribute to improving chemical safety assessment, better protect the environment, secure food supplies, and safeguard animal and human health, as well as understand our rapidly changing world.

ecology↗

bioRxiv2023

Metabolic FRET sensors in intact organs: Applying spectral unmixing to acquire reliable signals

In multicellular organisms, metabolic coordination across multiple tissues and cell types is essential to satisfy regionalized energetic requirements and respond coherently to changing environmental conditions. However, most metabolic assays require the destruction of the biological sample, with a concomitant loss of spatial information. Fluorescent metabolic sensors and probes are among the most user-friendly techniques for collecting metabolic information with spatial resolution. In a previous work, we have adapted to an animal system, Drosophila melanogaster, genetically encoded metabolic FRET-based sensors that had been previously developed in single-cell systems. These sensors provide semi-quantitative data on the stationary concentrations of key metabolites of the bioenergetic metabolism: lactate, pyruvate, and 2-oxoglutarate. The use of these sensors in intact organs required the development of an image processing method that minimizes the contribution of spatially complex autofluorescence patterns, that would obscure the FRET signals. In this article, we describe the fundamentals of intramolecular hetero-FRET, the technology on which these sensors are based. Finally, using data from the lactate sensor expressed in the larval brain as a case study, we show step by step how to process the fluorescence signal to obtain reliable FRET values.

developmental biology↗

bioRxiv2022

Laboratory evolution of flies to morphogen dosage via rapid maternal changes reveals predictable outcomes

Although the effects of genetic and environmental perturbations on multicellular organisms are rarely restricted to single phenotypic layers, our current understanding of how developmental programs react to these challenges at a systems level remains limited. Here, we have examined the phenotypic consequences of disturbing the classic bicoid network in Drosophila, which is essential for anterior-posterior patterning in the early embryo. This network can be synthetically perturbed by increasing the dosage of bicoid, which causes a posterior shift of the networks regulatory outputs and a decrease in fitness. To directly monitor network changes across populations and time with extra copies of bicoid, we performed genome-wide EMS mutagenesis, followed by experimental evolution. After only 8-15 generations, experimental populations have normalized patterns of gene expression and increased survival. Using a phenomics approach, we find that populations were normalized through rapid increases in embryo size driven by maternal changes in metabolism and ovariole development. We extend our results to additional populations of flies, demonstrating predictability. Together, our results necessitate a broader view of regulatory network evolution at the systems level. In the future, such synthetic evolution approaches using animal models could provide a generalizable platform for studying the propagation of genetic perturbations across the many layers of complex multicellular systems.

developmental biology↗

bioRxiv2022

Enhancer architecture and chromatin accessibility constrain phenotypic space during development

Developmental enhancers are DNA sequences that when bound to transcription factors dictate specific patterns of gene expression during development. It has been proposed that the evolution of such cis-regulatory elements is a major source of adaptive evolution; however, the regulatory and evolutionary potential of such elements remains little understood, masked by selective constraints, drift and contingency. Here, using mutation libraries in Drosophila melanogaster embryos, we observed that most mutations in classical developmental enhancers led to changes in gene expression levels but rarely resulted in novel expression outside of the native cell- and tissue-types. In contrast, random sequences often acted as developmental enhancers, driving expression across a range of levels and cell-types, in patterns consistent with transcription factor motifs therein; random sequences including motifs for transcription factors with pioneer activity acted as enhancers even more frequently and resulting in higher levels of expression. Together, our findings suggest that the adaptive phenotypic landscapes of developmental enhancers are constrained by both enhancer architecture and chromatin accessibility. We propose that the evolution of existing enhancers is limited in its capacity to generate novel phenotypes, whereas the activity of de novo elements is a primary source of phenotypic novelty. QUOTE"Chance and chance alone has a message for us." Milan Kundera, The Unbearable Lightness of Being

developmental biology↗

bioRxiv2022

Developmental phenomics suggests that H3K4 monomethylation catalyzed by Trr functions as a phenotypic capacitor

How epigenetic modulators of gene regulation affect the development and evolution of animals has been difficult to ascertain. Despite the widespread presence of histone 3 lysine 4 monomethylation (H3K4me1) on enhancers, hypomethylation appears to have minor effects on animal development and viability. In this study, we performed quantitative, unbiased and multi-dimensional explorations of key phenotypes on Drosophila melanogaster with genetically induced hypomethylation. Hypomethylation reduced transcription factor enrichment in nuclear microenvironments, leading to reduced gene expression, and phenotypes outside of standard laboratory conditions. Our developmental phenomics survey further showed that H3K4me1 hypomethylation led to context-dependent changes in morphology, metabolism, and behavior. Therefore, H3K4me1 may contribute to phenotypic evolution as a phenotypic capacitor by buffering the effects of chance, genotypes and environmental conditions on transcriptional enhancers. Quote"Developmental biologists are often not so much opposed to a role for ecology as they simply ignore it" -Doug Erwin1

developmental biology↗

bioRxiv2019

A genetic toolkit for the analysis of metabolic changes in Drosophila provides new insights into metabolic responses to stress and malignant transformation

Regulation of the energetic metabolism occurs fundamentally at the cellular level, so analytical strategies must aim to attain single cell resolution to fully embrace its inherent complexity. We have developed methods to utilize a toolset of metabolic FRET sensors for assessing lactate, pyruvate and 2-oxoglutarate levels of Drosophila tissues in vivo by imaging techniques. We show here how the energetic metabolism is altered by hypoxia: While larval tissues that contribute directly to adult organs respond to low oxygen levels by executing a metabolic switch towards lactic fermentation, polytene tissues that are degraded during metamorphosis do not alter their energetic metabolism. Analysis of tumor metabolism revealed that depending on the genetic background, some tumors undergo a lactogenic switch typical of the Warburg effect, while other tumors dont. This toolset allows for developmental and physiologic studies in genetically manipulated Drosophila individuals in vivo.

cell biology↗

bioRxiv2019

Context-specific functions of Notch in Drosophila blood cell progenitors

Drosophila Larval hematopoiesis takes place at the lymph gland, where myeloid-like progenitors differentiate into Plasmatocytes and Crystal Cells, under regulation of conserved signaling pathways. It has been established that the Notch pathway plays a specific role in Crystal Cell differentiation and maintenance. In mammalian hematopoiesis, the Notch pathway has been proposed to fulfill broader functions, including Hematopoietic Stem Cell maintenance and cell fate decision in progenitors. In this work we describe different roles that Notch plays in the lymph gland. We show that Notch, activated by its ligand Serrate, expressed at the Posterior Signaling Center, is required to restrain Core Progenitor differentiation. We define a novel population of blood cell progenitors that we name Distal Progenitors, where Notch, activated by Serrate expressed in Lineage Specifying Cells at the Medullary Zone/Cortical Zone boundary, regulates a binary decision between Plasmatocyte and Crystal Cell fates. Thus, Notch plays context-specific functions in different blood cell progenitor populations of the Drosophila lymph gland. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=72 SRC="FIGDIR/small/682658v2_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@8f3c25org.highwire.dtl.DTLVardef@1b5d8d1org.highwire.dtl.DTLVardef@1ad99cforg.highwire.dtl.DTLVardef@4d0bd9_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗