Research articleOverexpression of LiTPS2 from a cultivar of lily (Lilium ‘Siberia’) enhances the monoterpenoids content in tobacco flowers
Introduction
Often termed the ‘soul of flowers’, floral scent is an important quality indicator for ornamental plants. Both the floral and vegetative parts of many plant species emit volatile compounds with distinctive aroma. Floral scent is composed of a mixture of these volatile organic compounds (VOCs) (Knudsen, 2006), which can protect plants against herbivory, by acting as toxins, and provide chemical signals to pollinators or abiotic stress responses (Holopainen and Gershenzon, 2010). According to their metabolic origins, VOCs are divided into three major classes: terpenoids, phenylpropanoids/benzenoids, and fatty acid derivatives (Dudareva and Pichersky, 2000).
Terpenoids, as the largest volatile class in plants (Vranova et al., 2012), are produced from two different biosynthetic pathways in plant cells: (1) the mevalonic acid (MVA) pathway that is involved in the synthesis of sesquiterpenes and triterpenes in cytosol; and (2) the methylerythritol phosphate (MEP) pathway which is related to the biosynthesis of monoterpenes, diterpenes, and carotenoids in the plastid (Pichersky et al., 1995). These two pathways are divided into three main stages: 1) production of intermediates isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP); 2) production of the terpenoid precursors GPP, FPP and geranylgeranyl pyrophosphate (GGPP); and 3) after the production of these precursors, most of terpenoids are synthesized by TPSs (Trapp and Croteau, 2001).
TPSs are the primary enzymes in the synthesis of terpenoids, and the transcriptional activity of the corresponding TPS gene greatly influences the production of terpenes (Tholl, 2006). To date, more than 200 monoterpene and sesquiterpene synthase genes have been identified (Degenhardt et al., 2009). And various TPSs in several plants with different structures and functions, including multiple-product and single-product enzyme, have been characterized (Dudareva and Pichersky, 2000). Multiple-product enzyme can utilize different substrates including GPP, geranyl diphosphate (GDP), FPP, and farnesyl diphosphate (FDP) to form multiple terpenoids (Pazouki et al., 2015). For example, AaTPS6 from Artemisia annua catalyzed the formation of 1,8-cineole, sabinene, and other seven terpenoids (Ruan et al., 2016). CsTPS1 from Citrus sinensis was able to produce a mixture of monoterpenes (high amounts of β-myrcene and small amounts of limonene) using GPP as a substrate (Borghi and Xie, 2018). And 1,8-cineole synthase (Cin) from Nicotiana tabacum, could catalyze GPP to produce seven terpenes (Roeder et al., 2007). Single-product enzymes have also been reported, such as S-linalool synthase from Clarkia breweri catalyzing GPP to produce linalool (Lucker et al., 2001) and AaTPS2 from A. annua produced β-myrcene only (Ruan et al., 2016). Except for that, overexpressed TPSs could enhance the emission amounts of the volatile terpene. Overexpression of the geraniol synthase (GES) gene from Valeriana officinalis and LdGES from Lippia dulcis in transgenic tobacco plants resulted in an increased amount of geraniol and oxidized geraniol compounds (Dong et al., 2013). However, the contribution of TPS genes to the production of monoterpenes in lily needs further investigation.
Lily is a fragrant cut flower with high ornamental values. Many Lilium sp. Cultivars emit a large amount of volatile monoterpene compounds, which can attract the attention of consumers (Johnson et al., 2016). And monoterpene compounds, including myrcene, (E)-β-ocimene and linalool, are the major compounds of scented lilies (Kong et al., 2012). High-throughput RNA sequencing (RNA-Seq) has been used as an effective analysis tool for revealing molecular mechanism and understanding gene regulatory network in plants (Fan et al., 2015). RNA-Seq has been used not only to analyze the cold stress response in L. lancifolium (Deng et al., 2014), the carbohydrate metabolism during bulblet formation and development in L. davidii var. unicolor (Li et al., 2014), but also to understand the different fragrance mechanisms between the cultivar L. ‘Siberia’ with a strong fragrance and L. ‘Nonano’ with a faint fragrance (Hu et al., 2017). In addition, RNA-Seq, combined with two-dimensional analysis and weighted gene co-expression network analysis (WGCNA), has been used as a tool for screening candidate genes related to the formation of flower fragrance (Shi et al., 2018). Although the majority of differentially expressed genes (DEGs) have been identified, few studies focused on their functions, particularly the TPS genes downstream the MEP pathway (Trapp and Croteau, 2001), or on the molecular regulation of monoterpene biosynthesis in lilies. To overcome these knowledge gaps, the transcriptomes of petal at different flowering stages and leaf of the cultival L. ‘Siberia’ were performed in this study. By examining the DEGs related to monoterpene synthase, LiTPS2 was selected as a candidate gene. Thus, the function of LiTPS2 in regulating the synthesis of monoterpenes in L. ‘Siberia’ was investigated, aiming to provide the theoretical basis for producing new Lilium varieties or improving existing varieties with a desirable aroma for the consumer through genetic engineering.
Section snippets
Plant material
The strong-scented oriental L. ‘Siberia’ was used as the experimental plant material in the present study, and it was prepared as referred in Zhang (Zhang et al., 2018). Flowering stages were defined as: budding (FS1), initial flowering (FS2), full-blooming (FS3) and wilting (FS4). Inner lily petals at each flowering stage were harvested and randomly divided into equal sample-size groups so that each treatment included three biological replicates. After being immediately froze in liquid
Sequencing, de novo assembly, and gene annotation of L. ‘Siberia’ flowers and leaves
To understand the molecular basis of lily floral scent, petals at different flowering stages and leaves were used to build 15 cDNA libraries for RNA-seq analysis. Complete sequencing of the 15 samples achieved 31.67 Gb of raw data. In total, we required 62,673,851 and 61,022,723 clean reads from flowers and leaves transcriptome libraries, respectively, and each cDNA library ranged 5.9–6.8 million reads (Table S2). The clean reads were assembled into 74,457 transcripts and 24,650 unigenes with
Discussion
As the downstream gene of terpene synthesis, the transcript level of TPS genes was closely correlated with the emission of terpenes. In Freesia × hybrida, the expression levels of eight FhTPS genes were substantially increased and maintained at a high level during anthesis, in agreement with the patterns of terpenes emission reported for this species (Gao et al., 2018). The expression patterns of OfTPS2 and OfTPS4 changed consistently with the release of terpenes at different flowering stages
Conclusion
In our study, we identified the LiTPS2 from L. ‘Siberia’ which was contributed to the regulation and production of monoterpenes biosynthesis. Subcellular localization showed that it was located in chloroplasts and functional characterization indicated that LiTPS2 utilized GPP to produce linalool and other monoterpenes, and FPP to form trans-nerolidol and other sesquiterpenes, respectively. Meanwhile, the flowers of LiTPS2 transgenic lines accumulated linalool, myrcene and (E)-β-ocimene, which
Author Contributions
TZ and MS conceived and designed the experiments. YG, YY and JC prepared the plant materials. TZ and YG performed experiments, analyzed the data and wrote the paper. TZ, QZ and MS played an important role in interpreting the result. XS revised the manuscript. MS read and approved the final manuscript.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This research was funded by Supported by Beijing Municipal Natural Science Foundation (No. 6202022), National Natural Science Foundation of China (No. 31971708), National Key R&D Program of China (No. 2019YFD1001002) and the World-Class Discipline Construction and Characteristic Development Guidance Funds for Beijing Forestry University (No. 2019XKJS0322).
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These authors contributed equally to this study.