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Asiatic Hybrids lily 'Annemarie's Dream' cultivars were grown in the nursery of Badaling Forest Farm (Beijing, China). The double-flower cultivars were cultivated in the greenhouse and three parts of the floral organ were collected from the bud stage to the full-bloom stage. Bud stage: Inner bud (Inbud), petaloid stamen (Budpest) and staminode (Budst). Full-bloom stage: Inner tepal (InTE), petaloid stamen (PEST) and staminode (ST). Each sample was obtained from nine flowers or flower buds at two development stages, three of which were used as one biological replicate, for a total of three biological replicates. Samples were immediately flash frozen in liquid nitrogen and stored at −80 °C for RNA extraction.
RNA extraction, cDNA library construction and Illumina sequencing
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Extraction of total RNA from six samples, including three biological replicates were carried out using RNAprep pure Plant Kit (TIANGEN Biotech, Beijing, China) and the RNA integrity number (RIN) of each sample needed to be > 7.3 for cDNA library construction. mRNA with polyA tail was enriched by Oligo (dT) beads and rRNA was removed using DNA hybridization probes. Subsequently the broken short mRNA fragment was used as a template to create cDNA libraries and library quality was assessed on the Agilent 2100 Bioanalyzer and ABI Step One Plus Real-Time PCR System. Illumina sequencing was performed at Illumina Hiseq platform by BGI Co. (Beijing, China).
Transcriptome data processing and gene functional annotation
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Clean reads were obtained by removing low-quality reads, reads containing adapters and poly N and reads with unknown base 'N' content greater than 5%. De novo assembly of clean reads using Trinity v2.0.6 was performed[40], followed by TGICL[41] to cluster the assembled transcripts and remove redundancy to obtain Unigene. Transdecoder v3.0.1 was used to identify candidate coding regions in Unigene by aligning the homologous protein sequences in the SwissProt or Pfam database[42]. For gene functional annotation, the assembled unigene were aligned and annotated using HMMER v3.0[43], BLAST v2.2.23[44], and BLAST 2GO v2.5.0 to seven functional databases as GO (Gene Ontology), KEGG (Kyoto Encyclopedia of Genes and Genomes), NR (Non-redundant proteins), NT (Nucleotide sequence database), COG (clusters of orthologous groups), Swiss-Prot, and Pfam.
Analysis of differential expression genes
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The gene expression level of each sample was calculated by RSEM v1.2.8[45], based on Fragments Per Kilobase of transcript per Million (FPKM). Differential expression gene analysis was performed based on Poisson distribution, DEGs detection was performed according to the method described in Wang et al.[46]. In order to improve the significance of DEGs, P-values are corrected to Q-values using the strategy employed by Storey & Tibshirani[47]. In this study, we defined genes at Fold Change > 2, Q-value ≤ 0.001 and false discovery rate (FDR) < 0.05 in a comparison were recognized as significant differentially expressed genes.
Quantitative real-time PCR validation of RNA-seq data
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Validation of RNA-seq data related to MADS-box TFs using qRT-PCR. The qRT-PCR reactions were performed on the iQTM5 using SYBR. The primers used in this study are listed in Supplemental Table S2. The PCR protocol was initiated at 94 °C for 3 min, followed by 40 cycles of 94 °C for 20 s, 60 °C for 30 s and 72 °C for 30 s. CT values (Cycle threshold) were recorded after completing 40 cycles. The data was obtained from three biological replicates, each of which contains three technical replicates. Relative gene expression was normalized with the lily actin gene as an internal reference and was analyzed using the 2−ΔΔCᴛ method[48]. The difference of the mean values for the different treatments were compared by post-hoc least significant difference tests. Values of P < 0.001 were considered to indicate significance. Origin software is used for chart drawing in Fig. 6.
Weighted correlation network analysis
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After discarding relative low expression genes (the FPKM was less than 1 in more than 18 samples), the R package WGCNA[49] was used to identify modules of highly co-correlated gene modules base on the filtered FPKM data. The co-expression modules were obtained using automatic network construction function (block wise modules) with power = 15, minModuleSize = 100, TOMtype was signed. Eigengene value was calculated for each module based on Pearson correlation. The networks were visualized by Cytoscape (v.3.8.2)[50].
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About this article
Cite this article
Wang W, He X, Li X, Wang W. 2022. Transcriptome profiling during double-flower development provides insight into stamen petaloid in cultivated Lilium. Ornamental Plant Research 2:10 doi: 10.48130/OPR-2022-0010
Transcriptome profiling during double-flower development provides insight into stamen petaloid in cultivated Lilium
- Received: 23 April 2022
- Accepted: 16 June 2022
- Published online: 30 June 2022
Abstract: Asiatic hybrid lilies (Lilium spp.), as the biggest cultivar groups of the lily variety are an ornamental plant with elegant floral patterns and bright colors. We discovered a double-flower Asiatic hybrid cultivar ‘Annemarie’s Dream’ whose stamens convert into petaloid stamens in varying degrees. Double-flower is a significant ornamental trait of the flower organ. However, the molecular mechanism of stamen petaloid formation has not been widely studied in Asiatic hybrid lily. Therefore, we used RNA-seq to contrast transcriptomes of stamen, petaloid stamen and inner tepal at two developmental stages. In total, 190,488 unigenes were obtained and 37,549 differentially expressed genes (DEGs) were identified. We focused on DEGs involved in phytohormone signaling and transcription factor regulation, especially the MADS-box genes (A-class gene LiAP1; B-class gene LiPI; C-class gene LiAG; E-class gene LiAGL6, LiSEP3). Furthermore, we performed weight gene co-expression network analysis (WGCNA) and identified two co-expressed MADS-box homeotic genes (LiAG, CL14315.Contig2_All; LiAP1, CL10060.Contig3_All) as hubs. We also found that CL3014.Contig2_All (PYL) and CL5627.Contig1_All (GID2) as phytohormone-related genes may participate in the regulation of the stamen petaloid during double-flower development. In summary, our findings provide an insight into the molecular regulatory network underlying stamen petaloid and thereby offering a theoretical basis for double-flower breeding in Lilium.
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Key words:
- Trancriptome /
- Asiatic hybrid lily /
- Stamen petaloid /
- WGCNA