| Literature DB >> 33683399 |
Mengru Zhang1, Mengfei Song1, Feng Cheng1, Zhige Yang1, Marzieh Davoudi1, Jinfeng Chen2, Qunfeng Lou3.
Abstract
KEY MESSAGE: By the strategy of bulked segregant analysis sequencing combined with genetic mapping, CsDWF5, which encodes 7 dehydrocholesterol reductase that involved in brassinosteroids biosynthesis, was identified as the candidate gene for cpa. Dwarf architecture is one of the most important breeding goals in crops. The biosynthesis and signal transduction of brassinosteroids (BRs) have a great impact on plant growth and development including plant architecture. Here, we identified a compact plant architecture (cpa) mutant from an EMS-induced cucumber population. cpa displayed the extremely dwarf phenotype with shortened internode and petiole, darkened and wrinkled leaf. Genetic analysis revealed that cpa was caused by a single recessive gene. By the strategy of bulked segregant analysis sequencing combined with genetic mapping, CsDWF5, encoding a 7-dehydrocholesterol reductase that involved in sterol biosynthesis, was identified as the candidate gene for cpa. One single nucleotide mutation (G→A) in splicing site causing 3-bp insertion (TAG) was found in the first base of the sixth intron of CsDWF5 in cpa, which furtherly resulted in the frameshift mutation and got a premature stop codon. The expression of CsDWF5 gene was significantly down regulated in different tissues of the cpa mutant compared with that in wild type. The phenotype of cpa could be partially recovered by exogenous BR treatment. Transcriptome analysis identified 1096 genes that exhibited differential expression between the cpa mutant and wild type. KEGG enrichment analysis indicated that differentially expressed genes were significantly enriched in BR biosynthesis and plant-pathogen interaction pathways. These results provide perspectives on the molecular mechanisms underlying the dwarfing phenotype in cucumber.Entities:
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Year: 2021 PMID: 33683399 DOI: 10.1007/s00122-021-03802-5
Source DB: PubMed Journal: Theor Appl Genet ISSN: 0040-5752 Impact factor: 5.574