Sex-biased gene expression is the mode through which sex dimorphism arises from a nearly identical genome, especially in organisms without genetic sex determination. Teleost fishes show great variations in the way the sex phenotype forms. Among them, Sparidae, that might be considered as a model family displays a remarkable diversity of reproductive modes. In this study, we sequenced and analyzed the sex-biased transcriptome in gonads and brain (the tissues with the most profound role in sexual development and reproduction) of two sparids with different reproductive modes: the gonochoristic common dentex, , and the protandrous hermaphrodite gilthead seabream, . Through comparative analysis with other protogynous and rudimentary protandrous sparid transcriptomes already available, we put forward common male and female-specific genes and pathways that are probably implicated in sex-maintenance in this fish family. Our results contribute to the understanding of the complex processes behind the establishment of the functional sex, especially in hermaphrodite species and set the groundwork for future experiments by providing a gene toolkit that can improve efforts to control phenotypic sex in finfish in the ever-increasingly important field of aquaculture.
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http://dx.doi.org/10.3389/fgene.2018.00749 | DOI Listing |
Microb Cell Fact
January 2025
Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
Background: Aspergillus niger is an important industrial filamentous fungus used to produce organic acids and enzymes. A wide dynamic range of promoters, particularly strong promoters, are required for fine-tuning the regulation of gene expression to balance metabolic flux and achieve the high yields of desired products. However, the limited understanding of promoter architectures and activities restricts the efficient transcription regulation of targets in strain engineering in A.
View Article and Find Full Text PDFNeurol Genet
December 2024
From the Division of Neurology (A.H.T., S.-Y.L.), Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Programa de Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul (P.S.-A.), Clínica Santa María, Santiago, Chile; Departamento de Farmacologia (A.F.S.S.), Universidade Federal do Rio Grande do Sul; Serviço de Neurologia (A.F.S.S.), Hospital de Clínicas de Porto Alegre, Brazil; Institute of Neurogenetics (H.M., M.L.D., C.K.), University of Lübeck, Germany; Department of Biomedical Science (A.A.-A.), Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; The Michael J. Fox Foundation for Parkinson's Research (J.S., B.F.), New York; Department of Medical and Molecular Genetics (C.E.W.), Indiana University, Indianapolis; Department of Neuroscience and Brain Health (M.L.D.), Metropolitan Medical Center, Manila, Philippines; Centre for Preventive Neurology (S.D., M.T.P., A.J.N.), Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom; Unidad de Trastornos del Movimiento (M.T.P.), Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Spain; Laboratory of Neurogenetics (M.B.M.), National Institute on Aging, National Institutes of Health, Bethesda, MD; Department of Clinical and Movement Neurosciences (M.B.M., H.R.M.), UCL Queen Square Institute of Neurology, University College London, United Kingdom; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York; Movement Disorders Division (R.N.A.), Neurological Institute, Tel Aviv Sourasky Medical Center and Tel Aviv School of Medicine, Tel Aviv University, Israel; Molecular Medicine Laboratory and Neurology Department (K.R.K.), Concord Clinical School, Concord Repatriation General Hospital, The University of Sydney; Translational Neurogenomics Group (K.R.K.), Genomic and Inherited Disease Program, Garvan Institute of Medical Research; and St Vincent's Healthcare Campus (K.R.K.), Faculty of Medicine, UNSW Sydney, Darlinghurst, New South Wales, Australia.
Background And Objectives: In the era of precision medicine, genetic test results have become increasingly relevant in the care of patients with Parkinson disease (PD). While large research consortia are performing widespread research genetic testing to accelerate discoveries, debate continues about whether, and to what extent, the results should be returned to patients. Ethically, it is imperative to keep participants informed, especially when findings are potentially actionable.
View Article and Find Full Text PDFHeliyon
January 2025
Institute of Biology, Faculty of Sciences, University of Pécs, H-7624, Pécs, Hungary.
In the global effort to discover or design new effective antibiotics to fight infectious diseases, the increasingly available multi-omics data with novel bioinformatics tools open up new horizons for the exploration of the genetic potential of bacteria to synthesize bioactive secondary metabolites. Rare actinomycetes are a prolific source of structurally diverse secondary metabolites that exhibit remarkable clinical and industrial importance. Recently several excellent genome mining tools have been available for identifying biosynthetic gene clusters, however in cases of poor-quality sequences and inappropriate genome assembly, these tools are not always able to identify the corresponding gene clusters.
View Article and Find Full Text PDFis a microorganism for production of 1,3-propanediol (1,3-PDO) and butanol, but suffers from lacking genetic tools for metabolic engineering to improve product titers. Furthermore, previous studies of have mainly focused on single genomic modification. The aim of this work is the development and application of a method for modification of multiple gene targets in the genome of .
View Article and Find Full Text PDFBrief Bioinform
November 2024
Institute for Molecular Bioscience, The University of Queensland, 306 Carmody Road, St Lucia, Brisbane, QLD 4072, Australia.
Regulatory genes are critical determinants of cellular responses in development and disease, but standard RNA sequencing (RNA-seq) analysis workflows, such as differential expression analysis, have significant limitations in revealing the regulatory basis of cell identity and function. To address this challenge, we present the TRIAGE R package, a toolkit specifically designed to analyze regulatory elements in both bulk and single-cell RNA-seq datasets. The package is built upon TRIAGE methods, which leverage consortium-level H3K27me3 data to enrich for cell-type-specific regulatory regions.
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