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Identification and fine mapping of a stay-green gene (Brnye1) in pakchoi (Brassica campestris L. ssp. chinensis)

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Key messageUsing bulked segregant analysis combined with next-generation sequencing, we delimited theBrnye1gene responsible for the stay-green trait ofnyein pakchoi. Sequence analysis identifiedBra019346as the candidate gene.Abstract“Stay-green” refers to a plant trait… Click to show full abstract

Key messageUsing bulked segregant analysis combined with next-generation sequencing, we delimited theBrnye1gene responsible for the stay-green trait ofnyein pakchoi. Sequence analysis identifiedBra019346as the candidate gene.Abstract“Stay-green” refers to a plant trait whereby leaves remain green during senescence. This trait is useful in the cultivation of pakchoi (Brassica campestris L. ssp. chinensis), which is marketed as a green leaf product. This study aimed to identify the gene responsible for the stay-green trait in pakchoi. We identified a stay-green mutant in pakchoi, which we termed “nye”. Genetic analysis revealed that the stay-green trait is controlled by a single recessive gene, Brnye1. Using the BSA-seq method, a 3.0-Mb candidate region was mapped on chromosome A03, which helped us localize Brnye1 to an 81.01-kb interval between SSR markers SSRWN27 and SSRWN30 via linkage analysis in an F2 population. We identified 12 genes in this region, 11 of which were annotated based on the Brassica rapa annotation database, and one was a functionally unknown gene. An orthologous gene of the Arabidopsis gene AtNYE1, Bra019346, was identified as the potential candidate for Brnye1. Sequence analysis revealed a 40-bp insertion in the second exon of Bra019346 in nye, which generated the TAA stop codon. A candidate gene-specific Indel marker in 1561 F2 individuals showed perfect cosegregation with Brnye1 in the nye mutant. These results provide a foundation for uncovering the molecular mechanism of the stay-green trait in pakchoi.

Keywords: brnye1; trait; pakchoi; stay green; gene

Journal Title: Theoretical and Applied Genetics
Year Published: 2017

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