Mammalian coat color is one of the first phenotypic changes resulting from positive selection by humans, and it serves important roles in genetic and evolutionary processes. Among them, horses show a broad variety of coat color patterns, based on which it is difficult to distinguish the real phenotypes, resulting in confused records in horse breed registration. Thus, research in the genetic mechanisms on the development of coat color patterns is significant in horse reproduction and breeding. With the recent establishment of genomics and sequencing technologies, there are significant advances in research in the genetics of horse coat colors, which demonstrate that special coat colors could be associated with certain diseases. In this review, we classify horse coat colors from the perspective of genetics, and summarize the recent research progresses of the associated genes and molecular mechanisms on horse coat color development and its application, thereby providing references to further systematic research on horse coat color patterns and their practical uses in horse breeding.
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http://dx.doi.org/10.16288/j.yczz.17-371 | DOI Listing |
Genes (Basel)
January 2025
College of Plant Science and Technology, Beijing Key Laboratory of New Agricultural Technology in Agriculture Application, National Demonstration Center for Experimental Plant Production Education, Beijing University of Agriculture, Beijing 102206, China.
Background: The quality of soybeans is reflected in the seed coat color, which indicates soybean quality and commercial value. Researchers have identified genes related to seed coat color in various plants. However, research on the regulation of genes related to seed coat color in soybeans is rare.
View Article and Find Full Text PDFSci Rep
January 2025
Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Germplasm resources within the Medicago genus are highly regarded for their value as forage crops and their critical roles in nitrogen cycling, ecosystem restoration, and soil structure improvement. Therefore, understanding the diversity of seed morphology in this genus is essential for advancing its development and utilization. This study analyzed seed samples from 587 germplasm accessions representing 77 species within Medicago genus, as well as 32 accessions from 21 species within the closely related genus Trigonella.
View Article and Find Full Text PDFJ Integr Plant Biol
January 2025
College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural University, Zhengzhou, 450046, China.
Seed color is a key agronomic trait in crops such as peanut, where it is a vital indicator of both nutritional and commercial value. In recent years, peanuts with darker seed coats have gained market attention due to their high anthocyanin content. Here, we used bulk segregant analysis to identify the gene associated with the purplish-red coat trait and identified a novel gene encoding a basic/helix-loop-helix transcription factor, PURPLE RED SEED COAT1 (PSC1), which regulates the accumulation of anthocyanins in the seed coat.
View Article and Find Full Text PDFVet World
November 2024
Department of Animal Science, Faculty of Agriculture, University of Lampung 35145, Indonesia.
Background And Aim: Coat color is a phenotypic trait that is affected by many functional genes. In addition, coat color is an important characteristic of breeds in livestock. This study aimed to determine functional genes for coat color patterns in Sumatran native cattle in Indonesia using a genome-wide association study method.
View Article and Find Full Text PDFAnal Methods
January 2025
Environmental Biotechnology Laboratory, Department of Biological Sciences, Birla Institute of Technology and Science - Pilani, Hyderabad Campus, Hyderabad, Telangana 500078, India.
The increasing global population has raised the demand for cow milk, leading to its adulteration with harmful substances, including urea and glucose, that cause damage to humans when consumed regularly. Hence, this study started with predicting urea and glucose toxicity using ProTox-III software, wherein the results revealed that urea belongs to class IV with an LD value of 6350 mg kg and glucose belongs to class VI with an LD value of 23 000 mg kg. Then, a qualitative colorimetric kit and Fourier-transform infrared (FTIR) spectroscopy were used for the preliminary detection of urea and glucose in cow milk.
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