Cho Yeonghun, Kwon Hakyung, Kim Byeong Cheol, Shim Donghwan, Ha Jungmin
Department of Agriculture, Forestry and Bioresources and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Crop Genomics Lab, Plant Genomics and Breeding Institute, Seoul National University, Seoul, Republic of Korea.
Front Plant Sci. 2025 Mar 12;16:1540674. doi: 10.3389/fpls.2025.1540674. eCollection 2025.
Mungbean (.) is gaining increasing interest among legume crops because of its nutritional value. Various secondary metabolites that act as antioxidants and bioactive compounds are beneficial for human health. The secondary metabolite content in plants is easily influenced by environmental conditions, and this influence varies depending on the genotype.
Here, we screened six genotypes with consistently high and low content of major secondary metabolites (gallic acid, chlorogenic acid, neo-chlorogenic acid, genistin, formononetin, catechin, syringic acid, and resveratrol) across environmental replicates. Transcriptome data obtained from the individual genotypes were pooled into two groups: high and low levels of secondary metabolites.
Of the 200 differentially expressed genes identified using stringent criteria, 23 were annotated in the secondary metabolite pathway. By combining the results of the secondary metabolite and transcriptome data, we identified six key genes encoding four enzymes (; Caffeoyl-CoA O-methyltransferase, ; 4'-methoxyisoflavone 2'-hydroxylase, ; dihydroflavonol-4-reductase, and ; shikimate O-hydroxycinnamoyltransferase) that commonly influence the content of secondary metabolites (catechin, chlorogenic acid, formononetin, and genistin) in mungbeans. Through regulatory network analysis, NAC042 and MYB74 transcription factors were identified. These transcription factors regulate the expression of four key genes in mungbean, , and leading to high flavonoid content.
These results provide information on the common genetic factors involved in the production of secondary metabolites, which can improve the nutritional value of mungbeans and contribute to the development of elite mungbean cultivars.
绿豆因其营养价值在豆类作物中越来越受到关注。作为抗氧化剂和生物活性化合物的各种次生代谢产物对人体健康有益。植物中的次生代谢产物含量很容易受到环境条件的影响,而且这种影响因基因型而异。
在此,我们筛选了六种基因型,它们在不同环境重复中主要次生代谢产物(没食子酸、绿原酸、新绿原酸、染料木素、芒柄花素、儿茶素、丁香酸和白藜芦醇)的含量始终较高和较低。从各个基因型获得的转录组数据被汇总为两组:次生代谢产物含量高和低的组。
在使用严格标准鉴定出的200个差异表达基因中,有23个在次生代谢产物途径中得到注释。通过结合次生代谢产物和转录组数据的结果,我们鉴定出六个关键基因,它们编码四种酶(咖啡酰辅酶A O-甲基转移酶、4'-甲氧基异黄酮2'-羟化酶、二氢黄酮醇-4-还原酶和莽草酸O-羟基肉桂酰转移酶),这些酶共同影响绿豆中次生代谢产物(儿茶素、绿原酸、芒柄花素和染料木素)的含量。通过调控网络分析,鉴定出NAC042和MYB74转录因子。这些转录因子调节绿豆中四个关键基因的表达,导致黄酮类化合物含量较高。
这些结果提供了有关参与次生代谢产物产生的共同遗传因素的信息,这可以提高绿豆的营养价值,并有助于优良绿豆品种的培育。