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Association between blooming time and climatic adaptation in . | LitMetric

AI Article Synopsis

  • Sieb. et Zucc. is a subtropical fruit crop from China that blooms earlier than other deciduous fruit trees, with various blooming periods depending on the region.
  • Researchers analyzed the genomes of 19 different cultivars to understand the relationship between blooming time and climatic adaptation, identifying numerous single nucleotide polymorphisms and grouping cultivars into early, mid, and late blooming categories.
  • They also discovered 21 selective sweep regions and a specific flowering gene that likely influence blooming time and adaptation to different climates, advancing knowledge of how these cultivars adapt to their environments in China.

Article Abstract

Sieb. et Zucc. is an important fruit crop of the subtropical region, originating in China. It blooms earlier than other deciduous fruit trees, but different regions have different blooming periods. The time of anthesis is related to the dormancy period, and a certain amount of chilling promotes bud break and blooming. To identify the relationship between blooming time and the climatic adaptation of cultivars in China, the nuclear and chloroplast genomes of 19 cultivars from the main cultivation areas of in China were resequenced. The average depth of coverage was 34X-76X, and a total of 388,134 single nucleotide polymorphisms were located within the coding regions of the gene (CDs). Additionally, the 19 cultivar accessions were divided into three groups based on their blooming time: early, mid, and late. Associated with the blooming time groups, 21 selective sweep regions were identified, which could provide evidence supporting the possible model of domestication originating due to natural selection. Furthermore, we identified a flowering gene, (), seems to affect the blooming time and the climatic adaptation of cultivars. This study is a major step toward understanding the climatic adaptation of cultivars in China.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972806PMC
http://dx.doi.org/10.1002/ece3.5894DOI Listing

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