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The Lauraceae family, a keystone group in subtropical evergreen broad-leaved forest ecosystems, exhibits exceptional diversity in sexual systems (including hermaphroditic flowers, functionally unisexual flowers, and pseudo-dioecy), serving as a natural model for studying plant sexual differentiation mechanisms. This review synthesizes advances in the evolutionary mechanisms and genomic studies of sexual differentiation in Lauraceae, focusing on three key areas: (1) the evolution of taxonomic classification and floral morphology, (2) molecular trajectories of sexual differentiation, and (3) challenges and future directions in sex determination research (e.g., sex-linked marker development and gene-editing-assisted breeding). Morphological and phylogenetic analyses suggest that ancestral Lauraceae species were late Cretaceous hermaphroditic trees, with recent radiation of unisexual lineages (e.g., and ) linked to pollinator pressure, genome duplication events (WGD), and incipient sex chromosome evolution. Despite progress, critical challenges remain, including unresolved thresholds for sex chromosome origination, unquantified molecular pathways integrating environmental signals (e.g., photoperiod, temperature) with genetic networks, and the lack of efficient sex-specific markers and genetic transformation systems. Future studies should integrate single-cell omics, epigenetic profiling, and cross-species comparative genomics to elucidate spatiotemporal dynamics and evolutionary drivers of sexual differentiation. These efforts will advance genetic improvement and ecological restoration strategies. This review provides a systematic framework for advancing plant sexual evolution theory and promoting sustainable utilization of Lauraceae resources.
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http://dx.doi.org/10.3390/ijms26094335 | DOI Listing |
Ann Acad Med Singap
August 2025
Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore.
Introduction: Interpretation and analysis of magnetic resonance imaging (MRI) scans in clinical settings comprise time-consuming visual ratings and complex neuroimage processing that require trained professionals. To combat these challenges, artificial intelligence (AI) techniques can aid clinicians in interpreting brain MRI for accurate diagnosis of neurodegenerative diseases but they require extensive validation. Thus, the aim of this study was to validate the use of AI-based AQUA (Neurophet Inc.
View Article and Find Full Text PDFFront Oncol
August 2025
Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Background: Low-grade endometrial stromal sarcoma (LG-ESS) is a rare malignant tumor of the female reproductive system with atypical clinical symptoms and slow progression.
Case: A 44-year-old female with a history of intermittent severe dysmenorrhea, previous laparoscopic myomectomy, and uterine artery embolization (UAE) presented with rapidly enlarging pelvic masses. Imaging revealed uterine masses suggestive of leiomyomas, although an adnexal origin could not be excluded.
BMC Endocr Disord
September 2025
Internal Medicine Department, Faculty of Medicine, Beni-Suef University, Beni-Suef City, 62514, Egypt.
Background: Thyroid nodules (TNs) are frequent and often benign. Accurately differentiating between benign and malignant nodules is crucial for proper management. This research aims to use ultrasonography to examine TNs and identify possible risk factors in order to improve patient outcomes and diagnostic accuracy.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
September 2025
The University of Leicester Ulverscroft Eye Unit, School of Psychology and Vision Sciences, University of Leicester, Leicester, United Kingdom.
Purpose: To define the genetic architecture of foveal morphology and explore its relevance to foveal hypoplasia (FH), a hallmark of developmental macular disorders.
Methods: We applied deep-learning algorithms to quantify foveal pit depth from central optical coherence tomography (OCT) B-scans in 61,269 UK Biobank participants. A genome-wide association study (GWAS) was conducted using REGENIE, adjusting for age, sex, height, and ancestry.
Ann Gastroenterol Surg
September 2025
Aim: The reasons behind the high prevalence of poorly differentiated gastric cancer in young females remain unclear. Therefore, this study aimed to conduct a comprehensive genetic analysis to investigate the factors responsible for the high prevalence of poorly differentiated gastric cancer in young females.
Methods: We analyzed 299 patients who underwent gastric cancer surgery at the Gunma University Hospital between April 2015 and December 2020.