ADM Senior Vice President Camille Batiste would be leaving the company
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An international team of scientists has taken a significant step forward in understanding the process of plant flowering, a phenomenon crucial to ecological balance and horticultural value. Despite extensive existing studies, the regulatory mechanisms of flowering genes are still only partially understood, due to the immense diversity among plant species.
In response to these challenges, new research details the identification and comparative analysis of flowering genes in 837 species of angiosperms, resulting in the creation of the "Plant Flowering-time Gene Database" (PFGD).
The research was conducted by a team from North China University of Science and Technology, in collaboration with Aarhus University and Hebei Normal University of Science and Technology.
Scientists performed a comprehensive analysis of flowering genes, identifying 183.720 genes across eight regulatory pathways, including photoperiod, vernalization, autonomic, circadian clock, temperature, aging, hormones and sugars, as well as the ABCDE model. The identification of 10.155 genes from the ABCDE model stands out, which are essential for understanding the regulation of flowering in plants.
Furthermore, the study examined gene expression patterns and constructed interaction networks between ABCDE model genes and their upstream regulators, offering a detailed map of the flowering process. The research also predicted miRNA and target genes associated with flowering, providing a deeper understanding of regulatory mechanisms.
The PFGD database serves as a centralized platform, allowing researchers to access and analyze genetic data, facilitating cross-species comparisons and functional genomics studies.
“The creation of the Plant Flowering-time Gene Database marks a significant milestone in plant genetics. This comprehensive resource allows researchers to explore the complex regulatory networks of flowering genes in diverse species, paving the way for advances in both basic and applied sciences.” , said Xiaoming Song, senior researcher.
The study can be read at dx.doi.org/10.1093/hr/uhae013
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