关键词: 'Ningqi No.1' 'Qixin No.1' Bioactive ingredients Goji berry Lycium barbarum L. Metabolome Transcriptome

Mesh : Lycium / genetics Transcriptome / genetics Plant Breeding Metabolome Carotenoids Flavonoids / genetics

来  源:   DOI:10.1007/s00425-024-04350-0

Abstract:
CONCLUSIONS: The combined analysis of transcriptome and metabolome provided molecular insight into the dynamics of multiple active ingredients biosynthesis and accumulation across different cultivars of Lycium barbarum. Lycium barbarum L. has a high concentration of active ingredients and is well known in traditional Chinese herbal medicine for its therapeutic properties. However, there are many Lycium barbarum cultivars, and the content of active components varies, resulting in inconsistent quality between Lycium barbarum cultivars. At present, few research has been conducted to reveal the difference in active ingredient content among different cultivars of Lycium barbarum at the molecular level. Therefore, the transcriptome of \'Ningqi No.1\' and \'Qixin No.1\' during the three development stages (G, T, and M) was constructed in this study. A total of 797,570,278 clean reads were obtained. Between the two types of wolfberries, a total of 469, 2394, and 1531 differentially expressed genes (DEGs) were obtained in the \'G1 vs. G10,\' \'T1 vs. T10,\' and \'M1 vs. M10,\' respectively, and were annotated with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) orthology identifiers. Using these transcriptome data, most DEGs related to the metabolism of the active ingredients in \'Ningqi No.1\' and \'Qixin No.1\' were identified. Moreover, a widely targeted metabolome analysis of the metabolites of \'Ningqi 1\' and \'Qixin 1\' fruits at the maturity stage revealed 1,135 differentially expressed metabolites (DEMs) in \'M1 vs. M10,\' and many DEMs were associated with active ingredients such as flavonoids, alkaloids, terpenoids, and so on. We further quantified the flavonoid, lignin, and carotenoid contents of the two Lycium barbarum cultivars during the three developmental stages. The present outcome provided molecular insight into the dynamics of multiple active ingredients biosynthesis and accumulation across different cultivars of Lycium barbarum, which would provide the basic data for the formation of Lycium barbarum fruit quality and the breeding of outstanding strains.
摘要:
结论:转录组和代谢组的联合分析提供了对枸杞不同品种多种活性成分生物合成和积累动态的分子见解。枸杞具有高浓度的活性成分,并且以其治疗特性在传统中草药中众所周知。然而,枸杞品种很多,活性成分的含量各不相同,导致枸杞品种之间的品质不一致。目前,很少有研究在分子水平上揭示不同品种枸杞活性成分含量的差异。因此,三个发育阶段的“宁琪1号”和“齐心1号”的转录组(G,T,和M)在本研究中构建。总共获得了797,570,278个清洁读段。在两种枸杞之间,在\'G1与G10,\'\'T1与T10,\'和\'M1与M10,\'分别,并用基因本体论(GO)和京都基因和基因组百科全书(KEGG)正交标识符进行了注释。利用这些转录组数据,确定了与“宁琪1号”和“齐心1号”中活性成分代谢相关的大多数DEG。此外,对成熟期的“宁琪1”和“齐心1”果实代谢物进行的广泛靶向代谢组分析显示,M1与M1中的差异表达代谢物(DEM)为1,135种M10,\'和许多DEM与黄酮类等活性成分有关,生物碱,萜类化合物,等等。我们进一步量化了类黄酮,木质素,两个枸杞品种在三个发育阶段的类胡萝卜素含量。本结果提供了对不同品种枸杞多种活性成分生物合成和积累动态的分子见解,为枸杞果实品质的形成和优良品系的选育提供基础数据。
公众号