bioRxiv Science⌕ Search

Biology subjects

Bancel-Vallee, L.

Publications and source records attributed to Bancel-Vallee, L..

2 recordsLinked to original sources

Invasion of the stigma by the pollen tube or an oomycete pathogen: striking similarities and differences

The epidermis is the first barrier that protects organisms from surrounding stresses. Similar to the hyphae of filamentous pathogens that penetrate and invade the outer tissues of the host, the pollen germinates and grows a tube within epidermal cells of the stigma. Early responses of the epidermal layer are therefore decisive for the outcome of these two-cell interaction processes. Here, we aim at characterizing and comparing how the papillae of the stigma respond to intrusion attempts, either by hypha of the hemibiotrophic oomycete root pathogen, Phytophthora parasitica or by the pollen tube. We found that P. parasitica spores attach to the papillae and hyphae subsequently invade the entire pistil. Using transmission electron microscopy, we examined in detail the invasive growth characteristics of P. parasitica and found that the hypha passed through the stigmatic cell wall to grow in contact with the plasma membrane, contrary to the pollen tube that advanced engulfed within the two cell wall layers of the papilla. Further quantitative image analysis revealed that the pathogen and the pollen tube trigger reorganization of the endomembrane system (trans Golgi network, late endosome) and the actin cytoskeleton. Some of these remodeling processes are common to both invaders, while others appear to be more specific showing that the stigmatic cells trigger an appropriate response to the invading structure and somehow can recognize the invader that attempts to penetrate.

plant biology↗

Long-term quality assessment and monitoring of light microscope performance through accessible and reliable protocols, tools and metrics

Reliable, reproducible and comparable results are what biology requires from microscopy. To achieve that level of confidence, monitoring the stability of the microscope performance over time with standardized quality testing routines is essential for mining quantitative data. Three levels of microscope quality control procedures should be considered: i) usage of accessible and affordable tools and samples, ii) execution of easy and fast, preferably automatized, acquisition protocols, iii) analysis of data in the most automated way possible with adequate metrics for long-term monitoring. In this paper, we test the acquisition protocols on the mainly used microscope techniques (wide-field, spinning disk and confocal microscopy) with simple quality control tools. Seven protocols specify metrics on measuring the lateral and axial resolution (Point-Spread Function) of the system, field flatness, chromatic aberrations and co-registration, illumination power monitoring and stability, stage drift and positioning repeatability and finally temporal and spatial noise sources of camera detectors. We designed an ImageJ/FiJi java plugin named MetroloJ_QC to incorporate the identified metrics and automatize the data processing for the analysis. After processing and comparing the data of microscopes from more than ten imaging facilities, we test the robustness of the metrics and the protocols by determining experimental limit values. Our results give a first extensive characterization of the quality control procedures of a light microscope, with an automated data processing and experimental limit values that can be used by core facility staff and researchers to monitor the microscope performance over time.

scientific communication and education↗