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Exogenous oestrogen 17β-oestradiol (E2) has been shown to effectively induce feminization in teleosts. However, the molecular mechanisms underlying the process remain unclear. Here, we determined global DNA methylation and gene expression profiles of channel catfish () during early sex differentiation after E2 treatment. Overall, the levels of global DNA methylation after E2 treatment were not significantly different from those of controls. However, a specific set of genes were differentially methylated, which included many sex differentiation-related pathways, such as MARK signalling, adrenergic signalling, Wnt signalling, GnRH signalling, ErbB signalling, and ECM-receptor interactions. Many genes involved in these pathways were also differentially expressed after E2 treatment. Specifically, E2 treatments resulted in upregulation of female-related genes and downregulation of male-related genes in genetic males during sex reversal. However, E2-induced sex reversal did not cause sex-specific changes in methylation profiles or gene expression within the sex determination region (SDR) on chromosome 4, suggesting that E2-induced sex reversal was a downstream process independent of the sex determination process that was regulated by sex-specific methylation within the SDR.
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http://dx.doi.org/10.1080/15592294.2022.2086725 | DOI Listing |
Sci Justice
September 2025
School of Life Sciences, University of KwaZulu-Natal, Private Bag X54001, Westville, Durban 4000, South Africa. Electronic address:
A compound marker integrates two or more genetic markers into a single assay. The application of compound markers enhances the predictive accuracy of genetic testing by leveraging the strengths of different genetic variations while mitigating the limitations of individual markers. Compound markers include SNP-SNPs, SNP-STRs, DIP-SNPs, DIP-STRs, Multi-In/Dels, CpG-SNPs, CpG-STRs/CpG-In/Del, and Methylation-Microhaplotypes.
View Article and Find Full Text PDFSud Med Ekspert
September 2025
I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Unlabelled: Crimes against the sexual integrity of the individual represent one of the most serious forms of violence.
Objective: To perform a retrospective epidemiological analysis with the systematization of analytical data on the performed forensic medical examinations (FMEs) of survivors of sexual abuse in order to increase the effectiveness of the system of preventive measures against such crimes.
Material And Methods: The data from the industry statistical report №42 were analyzed.
Mar Life Sci Technol
August 2025
Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China.
Unlabelled: Biological invasions represent one of the main anthropogenic drivers of global change with a substantial impact on biodiversity. Traditional studies predict invasion risk based on the correlation between species' distribution and environmental factors, with little attention to the potential contribution of physiological factors. In this study, we incorporated temperature-dependent sex determination (TSD) and sex-ratio data into species distribution models (SDMs) to assess the current and future suitable habitats for the world's worst invasive reptile species, the pond slider turtle ().
View Article and Find Full Text PDFBiochem Biophys Rep
December 2025
Guangdong Ecological Meteorological Centre, Guangzhou, 510640, China.
The protogynous orange-spotted grouper (), a sequentially hermaphroditic teleost, relies on dynamic regulation of germ cell development and sex reversal mechanisms to achieve reproductive plasticity. The gene family, pivotal for germ cell development and transposon silencing across metazoans, remains poorly characterized in hermaphroditic species. Here, we investigate , a homologue in the orange-spotted grouper (.
View Article and Find Full Text PDFBone Rep
September 2025
Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA.
This study applied Raman spectroscopy (RS) to ex vivo human cadaveric femoral mid-diaphysis cortical bone specimens ( = 118 donors; age range 21-101 years) to predict fracture toughness properties via machine learning (ML) models. Spectral features, together with demographic variables (age, sex) and structural parameters (cortical porosity, volumetric bone mineral density), were fed into support vector regression (SVR), extreme tree regression (ETR), extreme gradient boosting (XGB), and ensemble models to predict fracture-toughness metrics such as crack-initiation toughness (K) and energy-to-fracture (J-integral). Feature selection was based on Raman-derived mineral and organic matrix parameters, such as νPhosphate (PO)/CH-wag, νPO/Amide I, and others, to capture the complex composition of bone.
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