Researchers at Michigan State University conducted a study to identify the genes associated with tart cherry trees that bloom later in the season, aiming to address the challenges posed by climate change. Initially, they compared the DNA sequences of late-blooming tart cherry trees with those of peaches, a related species. However, they discovered significant genetic differences between the two species rather than similarities. Consequently, the team created the first annotated genome of the Montmorency tart cherry and identified the DNA segments responsible for each gene.
The researchers encountered unexpected complexities in the Montmorency tart cherry genome due to its allotetraploid nature, meaning it has four sets of chromosomes from at least two different species. The tart cherry is the result of a natural cross between the ground cherry (Prunus fruticosa) and the sweet cherry (Prunus avium) that likely occurred around two million years ago.
Montmorency cherries
The genome sequencing provides valuable insights for researchers seeking to develop cherry trees that bloom later in the season and exhibit specific fruit traits such as color and firmness. By better understanding the genetic makeup of tart cherries, researchers can contribute to the cultivation of trees that can withstand variable spring weather and increase cherry production. The availability of the Montmorency tart cherry genome will significantly impact future research and breeding efforts worldwide in the tart cherry industry.
20 Mar 2025
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Agrion researchers Davide Nari and Valentina Roera presented the latest developments in cherry and apricot variety comparisons, while Francesca Pettiti and Luca Nari showed updates from the Forficula Auricolaria and Drosophila Suzukii trials.
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A University of Hannover study shows that Parka®, a fatty-acid-based cuticle supplement, does not reduce rain-induced cherry cracking. Trials on six cultivars found no effect on cuticle mass, elasticity or fruit water uptake under simulated rainfall conditions.
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A 25-year genetic data analysis from the Genome Database for Rosaceae identifies 16 QTL hotspots and 17 syntenic regions across Prunus species. The findings strengthen breeding strategies for peach, sweet cherry and almond, improving fruit quality, yield and disease resistance.
