98%
921
2 minutes
20
The highly destructive southern rice black-streaked dwarf virus (SRBSDV) causes significant losses in rice production. To understand its impact on rice root, we studied fibrous root development and root microbiota variation (rhizosphere and endosphere) after SRBSDV infection. SRBSDV infection reduced the number and length of fibrous roots in rice. Interestingly, the rhizosphere had higher bacterial diversity and abundance at the initial (0 days) and 30-day postinfection stages, while 30-day-old roots showed increased diversity and abundance. However, there were no significant differences in microbiota diversity between infected and noninfected rice plants. The major rhizosphere microbiota included Proteobacteria, Bacteroidota, Acidobacteriota, and Planctomycetota, comprising about 80% of the community. The endosphere was dominated by Proteobacteria and Cyanobacteria, constituting over 90%, with Bacteroidota as the next most prominent group. Further, we identified differentially expressed genes related to plant-pathogen interactions, plant hormone signal, and ABC transporters, potentially affecting root morphology. Notably, specific bacteria (e.g. Inquilinus and Actinoplanes) showed correlations with these pathways. In conclusion, SRBSDV primarily influences root growth through host metabolism, rather than exerting direct effects on the root microbiota. These insights into the interactions among the pathogen, rice plant, and associated microbiota could have implications for managing SRBSDV's detrimental effects on rice production.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/femsec/fiad113 | DOI Listing |
Braz Oral Res
September 2025
Ankara University, Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Ankara, Turkey.
The aim of this in-vitro study was to verify which field of view (FOV) in cone-beam computed tomography (CBCT) yields greater accuracy in the detection of internal root resorption (IRR) volume, in comparison to the gold standard of micro-computed tomography (micro-CT) and to a physical method. Twenty-five extractedsingle-rooted teeth were scanned by CBCT with two different FOV parameters (6x6-FOV and 10x10-FOV) and via micro-CT. The volume of dental hard tissue was measured on these images.
View Article and Find Full Text PDFAust Endod J
September 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, Department of Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
This study aimed to investigate the biomechanical impact of root canal anatomical variations and restoration techniques on endodontically treated mandibular second molars using finite element analysis. Five root morphologies were modelled: separated-rooted (S), fused-rooted with V-shaped (F-V), U-shaped (F-U) or Ω-shaped (F-Ω) radicular grooves and single-canal fused-rooted (F-O). Micro-CT scans were performed before and after endodontic instrumentation to generate the finite element models: intact teeth, post-and-core crowns with 2- to 3-mm ferrules and endocrowns with 3- to 4-mm pulp chamber extensions.
View Article and Find Full Text PDFPeriodontol 2000
September 2025
Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Background: Furcation involvement (FI) in multi-rooted teeth poses significant challenges in periodontal therapy due to complex anatomy and difficulty in achieving effective maintenance. FI is associated with increased periodontal destruction, especially in sites with narrow furcation entrances and deep root concavities. These features hinder effective debridement and compromise the efficacy of periodontal treatments.
View Article and Find Full Text PDFBMC Oral Health
September 2025
Oral and Maxillofacial Radiology Department, Cairo university, Cairo, Egypt.
Aim: The purpose of this study was to assess the accuracy of a customized deep learning model based on CNN and U-Net for detecting and segmenting the second mesiobuccal canal (MB2) of maxillary first molar teeth on cone beam computed tomography (CBCT) scans.
Methodology: CBCT scans of 37 patients were imported into 3D slicer software to crop and segment the canals of the mesiobuccal (MB) root of the maxillary first molar. The annotated data were divided into two groups: 80% for training and validation and 20% for testing.
Plant J
September 2025
Plant Physiology, Matthias Schleiden Institute for Genetics, Bioinformatics and Molecular Botany, Friedrich Schiller University Jena, 07743, Jena, Germany.
Progestogens and androgens are steroids found in a wide range of plants, but little is known about their physiological functions. In this study, we sowed seeds of angiosperms on progestogen- and androgen-containing medium and analysed their morphological effects. We further investigated the effects of progesterone and testosterone on brassinosteroid profiles and gene expression in A.
View Article and Find Full Text PDF