Molecular Ecology ResourcesGenomicsPeer-reviewed journal article
The genome of low-chill Chinese plum 'Sanyueli' (Prunus salicina Lindl.) provides insights into the regulation of the chilling requirement of flower buds
Zhi‐Zhen FangiD, Kui Lin‐WangiD, He DaiiD, Dan‐Rong Zhou, Cuicui JiangiD, Richard Victor EspleyiD, Cecilia Hong DengiD, Yanjuan Lin, Shao‐Lin Pan, Xinfu Ye
Abstract
Chinese plum (Prunus salicina Lindl.) is a stone fruit that belongs to the Prunus genus and plays an important role in the global production of plum. In this study, we report the genome sequence of the Chinese plum Sanyueli, which is known to have a low-chill requirement for flower bud break. The assembled genome size was 308.06 Mb, with a contig N50 of 815.7 kb. A total of 30,159 protein-coding genes were predicted from the genome and 56.4% (173.39 Mb) of the genome was annotated as repetitive sequence. Bud dormancy is influenced by chilling requirement in plum and partly controlled by DORMANCY ASSOCIATED MADS-box (DAM) genes. Six tandemly arrayed PsDAM genes were identified in the assembled genome. Sequence analysis of PsDAM6 in Sanyuelirevealed the presence of large insertions in the intron and exon regions. Transcriptome analysis indicated that the expression of PsDAM6 in the dormant flower buds of Sanyueli was significantly lower than that in the dormant flower buds of the high chill requiring Furongli plum. In addition, the expression of PsDAM6 was repressed by chilling treatment. The genome sequence of Sanyueli plum provides a valuable resource for elucidating the molecular mechanisms responsible for the regulation of chilling requirements, and is also useful for the identification of the genes involved in the control of other important agronomic traits and molecular breeding in plum.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 30
- FWCI
- 3.30
- Field percentile
- top 8%
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