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Developmental basis of natural tooth shape variation in cichlid fishes.

Naturwissenschaften

January 2025

Institute of Bioengineering and Biosciences, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.

While most dentate non-mammalian vertebrates possess simple conical teeth, some demonstrate complex tooth shapes. Lake Malawi cichlid fishes are an extreme example of this, exhibiting a myriad of tooth shapes driven by an ecologically derived rapid evolution of closely related but distinct species. Tooth shape in mammals is generally considered to be established by signaling centers called primary and secondary enamel knots, which are not believed to be present in non-mammalian vertebrates.

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It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing strategies for the effective therapy of cancer, as it is an important factor that determines the evolution and treatment response of tumours. This work combines machine learning and single-cell RNA sequencing (scRNA-seq) to explore the glioma tumour microenvironment's TME. With the help of genome-wide association studies (GWAS) and Mendelian randomization (MR), we found genetic variants associated with TME elements that affect cancer and cardiovascular disease outcomes.

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Wheat breeders are constantly looking for genes and alleles that increase grain yield. One key strategy is finding new genetic resources in the wild and domesticated gene pools of related species with genes affecting grain size. This study explored a natural population of Triticum turgidum (L.

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Background: Osteoporosis is a common age-related disease with disabling consequences, the early diagnosis of which is difficult due to its long and hidden course, which often leads to diagnosis only after a fracture. In this regard, great expectations are placed on advanced developments in machine learning technologies aimed at predicting osteoporosis at an early stage of development, including the use of large data sets containing information on genetic and clinical predictors of the disease. Nevertheless, the inclusion of DNA markers in prediction models is fraught with a number of difficulties due to the complex polygenic and heterogeneous nature of the disease.

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SSR marker-based genetic diversity and structure analyses of var. from different populations.

PeerJ

January 2025

Guangxi Key Laboratory of Efficacy Study on Chinese Materia Medica, Nanning, Guangxi, China.

Background: var. is a variety in the section of the genus of the family Theaceae which is native to Fangchenggang, Guangxi, China. To date, the genetic diversity and structure of this variety remains to be understood.

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