Publications by authors named "Mathias Ruben Gemmer"
Article Synopsis
- Metabolites are crucial in plants for development and stress responses, and their analysis can provide insights into underlying biological processes; they can also serve as biomarkers for plant breeding.
- The study used genome-wide association studies (GWAS) on a wild barley population to identify metabolic quantitative trait loci (mQTL) linked to about 130 metabolites, finding significant correlations primarily with sugars.
- The research highlighted how sugar-related genes are connected to plant growth, development, and disease resistance, revealing genetic variation in sugar metabolites and confirming their role in flowering through association with known flowering time genes.
Like other crop species, barley, the fourth most important crop worldwide, suffers from the genetic bottleneck effect, where further improvements in performance through classical breeding methods become difficult. Therefore, indirect selection methods are of great interest. Here, genomic prediction (GP) based on 33,005 SNP markers and, alternatively, metabolic prediction (MP) based on 128 metabolites with sampling at two different time points in one year, were applied to predict multi-year agronomic traits in the nested association mapping (NAM) population HEB-25.
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