College of Life Science, Key Laboratory of Ministry of Education for Protection and Utilization of Special Biological Resources in Western China, Ningxia University, Yinchuan, 750021, China.
State Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China.
Planta. 2024 Feb 26;259(4):74. doi: 10.1007/s00425-024-04350-0.
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.
对转录组和代谢组的联合分析为不同品种枸杞中多种活性成分生物合成和积累的动态变化提供了分子见解。枸杞中活性成分浓度高，在传统中药中以其治疗特性而闻名。然而，枸杞有许多品种，活性成分的含量不同，导致不同品种枸杞之间的质量不一致。目前，很少有研究从分子水平揭示不同品种枸杞活性成分含量的差异。因此，本研究构建了‘宁杞 1 号’和‘齐心 1 号’在三个发育阶段（G、T 和 M）的转录组。共获得 797,570,278 条清洁读段。在这两种枸杞中，在‘G1 vs. G10’、‘T1 vs. T10’和‘M1 vs. M10’中分别获得了 469、2394 和 1531 个差异表达基因（DEGs），并进行了基因本体论（GO）和京都基因与基因组百科全书（KEGG）同源物标识符注释。利用这些转录组数据，鉴定出与‘宁杞 1 号’和‘齐心 1 号’活性成分代谢相关的大多数差异表达基因。此外，对成熟阶段‘宁杞 1 号’和‘齐心 1 号’果实代谢物的广泛靶向代谢组分析显示，在‘M1 vs. M10’中发现 1,135 个差异表达代谢物（DEMs），许多 DEMs 与黄酮类、生物碱、萜类等活性成分有关。我们进一步量化了两个枸杞品种在三个发育阶段的类黄酮、木质素和类胡萝卜素含量。本研究结果为不同品种枸杞中多种活性成分生物合成和积累的动态变化提供了分子见解，为枸杞果实品质的形成和优良品系的选育提供了基础数据。
