Premise: Most studies of the movement of orchid fruits and roots during plant development have focused on morphological observations; however, further genetic analysis is required to understand the molecular mechanisms underlying this phenomenon. A precise tool is required to observe these movements and harvest tissue at the correct position and time for transcriptomics research.
Methods: We utilized three-dimensional (3D) micro-computed tomography (CT) scans to capture the movement of fast-growing roots, and built an integrated bioinformatics pipeline to process 3D images into 3D time-lapse videos. To record the movement of slowly developing and fruits, two-dimensional (2D) photographs were used.
Results: The roots twisted and resupinated multiple times from early development. The first period occurred in the early developmental stage (77-84 days after germination [DAG]) and the subsequent period occurred later in development (140-154 DAG). While fruits twisted 45° from 56-63 days after pollination (DAP), the fruits of only began to resupinate a week before dehiscence (133 DAP) and ended a week after dehiscence (161 DAP).
Discussion: Our methods revealed that each orchid root and fruit had an independent direction and degree of torsion from the initial to the final position. Our innovative approaches produced detailed spatial and temporal information on the resupination of roots and fruits during orchid development.
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http://dx.doi.org/10.1002/aps3.11567 | DOI Listing |
Bioinformatics
January 2025
European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom.
Summary: In recent years there has been a surge in prokaryotic genome assemblies, coming from both isolated organisms and environmental samples. These assemblies often include novel species that are poorly represented in reference databases creating a need for a tool that can annotate both well-described and novel taxa, and can run at scale. Here, we present mettannotator-a comprehensive, scalable Nextflow pipeline for prokaryotic genome annotation that identifies coding and non-coding regions, predicts protein functions, including antimicrobial resistance, and delineates gene clusters.
View Article and Find Full Text PDFBioinformatics
January 2025
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, 02-106, Poland.
Motivation: It is a challenging task to decipher the mechanisms of a complex system from observational data; especially in biology, where systems are sophisticated, measurements coarse and multi-modality is a common trait. The typical approaches of inferring a network of relationships between system's components struggle with the quality and feasibility of estimation, as well as with the interpretability of the results they yield.Said issues can be avoided, however, when dealing with a simpler problem of tracking only the influence paths, defined as circuits relying the information of an experimental perturbation as it spreads through the system.
View Article and Find Full Text PDFEMBO Rep
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
The generation of germline cells from human induced pluripotent stem cells (hiPSCs) represents a milestone toward in vitro gametogenesis. Methods to recapitulate germline development beyond primordial germ cells in vitro have relied on long-term cell culture, such as 3-dimensional organoid co-culture for ~four months. Using a pipeline with highly parallelized screening, this study identifies combinations of TFs that directly and rapidly convert hiPSCs to induced oogonia-like cells (iOLCs).
View Article and Find Full Text PDFSci Rep
January 2025
Biology School, University of Costa Rica, San Pedro, San José, 11501-20260, Costa Rica.
Plasmids play a crucial role in facilitating genetic exchange and enhancing the adaptability of microbial communities. Despite their importance, environmental plasmids remain understudied, particularly those in fragile and underexplored ecosystems such as the deep-sea. In this paper we implemented a bioinformatics pipeline to study the composition, diversity, and functional attributes of plasmid communities (plasmidome) in 81 deep-sea metagenomes from the Tara and Malaspina expeditions, sampled from the Pacific, Atlantic, and Indian Oceans at depths ranging from 270 to 4005 m.
View Article and Find Full Text PDFAm J Kidney Dis
January 2025
Hereditary Kidney Diseases Laboratory, Inserm UMR 1163, Imagine Institute, Paris Cité University, Paris, France; Department of Genomic Medicine for Rare Diseases, Necker-Enfants Malades Hospital, Assistance publique, Hôpitaux de Paris (AP-HP), Paris, France. Electronic address:
Rationale & Objective: Molecular diagnosis of autosomal dominant tubulointerstitial kidney disease (ADTKD) due to variants in the MUC1 gene has long been challenging since variants lie in a large Variable Number of Tandem Repeat (VNTR) region, making identification impossible using standard short read techniques. Previously, we addressed this diagnostic limitation by developing a computational pipeline, named VNtyper, for easier reliable detection of MUC1 VNTR pathogenic variants from short read sequences. This led to unexpected diagnoses of ADTKD-MUC1 among patients with kidney disease referred for genetic testing, which we report here.
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