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Multi-omics has helped elucidate the gene expression patterns and genomic variations closely associated with economically significant traits in geese. Despite the substantial genomic data generated through extensive goose studies, a unified platform for integrating these datasets is lacking. To address this gap, we introduced the Goose Multi-omics Database (GMD), which is accessible at http://goosedb.com/. The GMD is a comprehensive resource enabling streamlined search, analysis, and visualization of genetic information through a unified interface, providing insights into phenotypic traits, gene sequences, structures, expression profiles, genomic variations, gene families, homology, and collinearity. Equipped with robust analytical tools such as GBrowse and BLAST, the GMD facilitates rapid access to target gene information, significantly enhancing the efficiency and productivity of genomic research. By serving as a versatile and intuitive online repository, the GMD offers transformative potential for advancing goose biology, fostering multi-omics investigations, and integrating cutting-edge methodologies such as deep learning to accelerate discoveries in goose genomics.
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http://dx.doi.org/10.1016/j.psj.2025.104842 | DOI Listing |
Environ Microbiol Rep
October 2025
Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Plastic pollution is a major environmental challenge, with millions of tonnes produced annually and accumulating in ecosystems, causing long-term harm. Conventional disposal methods, such as landfilling and incineration, are often inadequate, emphasising the need for sustainable solutions like bioremediation. However, the bacterial biodiversity involved in plastic biodegradation remains poorly understood.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
September 2025
School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China.
Periodontal disease (PD) is a common and complex oral health problem that affects teeth and gums, leading to tooth loss, misalignment, and infection, with significant impact. Identifying the cause and developing new treatments is crucial. This study employed Mendelian randomization (MR), single-cell RNA sequencing (scRNA-seq), and integrated transcriptomics to identify key gene signatures associated with periodontitis.
View Article and Find Full Text PDFJ Therm Biol
September 2025
Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China. Electronic address:
In light of the challenges posed by global climate change, the environmental adaptability of organisms is becoming increasingly important. The Wuzhishan (WZS) pig, tolerant to high heat and humidity, is an ideal model for genomic study. By characterizing its genome and assessing its genetic diversity and runs of homozygosity (ROH), we can gain insights into its current conservation status and genomic architecture.
View Article and Find Full Text PDFArch Microbiol
September 2025
College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, People's Republic of China.
Cystofilobasidium infirmominiatum, biotechnologically significant yeast, is increasingly garnering attention due to its superior ability to produce valuable carotenoids and lipids. Nonetheless, until now, the reference genome that governs the biosynthesis of carotenoids and lipids in C. infirmominiatum remains unreported.
View Article and Find Full Text PDFOncol Res
September 2025
Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Studies have reported the special value of PANoptosis in cancer, but there is no study on the prognostic and therapeutic effects of PANoptosis in bladder cancer (BLCA). This study aimed to explore the role of PANoptosis in BLCA heterogeneity and its impact on clinical outcomes and immunotherapy response while establishing a robust prognostic model based on PANoptosis-related features. Gene expression profiles and clinical data were collected from public databases.
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