Skip to main content

Determination of ITS1 haplotypes of Fritillariae Cirrhosae Bulbus by amplicon sequencing

Abstract

Background

Fritillariae Cirrhosae Bulbus is an antitussive and expectorant Chinese medicinal material derived from the dried bulbs of six Fritillaria species. In the 2015 edition of the Chinese Pharmacopoeia, the polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) is the officially listed method for their authenfication. Specifically, the ~ 300-bp ITS1 amplicon of only Fritillariae Cirrhosae Bulbus but not other Fritillaria species can be cleaved into two smaller fragments with restriction enzyme SmaI. Considering repeated reported cases of incomplete digestion of ITS1 amplicon, this study aims to investigate the possibility of heterogeneous ITS1 sequences contained in the Fritillariae Cirrhosae Bulbus.

Methods

In this study, ITS1 amplicons of Fritillaria Cirrhosae Bulbus and four other Fritillaria species were sequenced on Illumina platform. We utilised high-throughout amplicon sequencing to determine ITS1 haplotypes and their frequencies in Fritillaria genomes.

Results

Our results showed that all six botanical sources of Fritillariae Cirrhosae Bulbus indeed possess ITS1 haplotypes with no SmaI restriction site, and the average percentages of ITS1 reads containing SmaI restriction site ranged from 63.60% to 91.81%.

Conclusion

Our findings suggest that the incomplete digestion in PCR–RFLP analysis of Fritillariae Cirrhosae Bulbus is caused by the presence of ITS1 haplotypes without SmaI restriction site due to intragenomic heterogeneity.

Background

Fritillariae Bulbus (Beimu) has long been used as an antitussive and expectorant herb. Its ethnopharmacological use was first documented in Shennong Bencao Jing [1], the earliest classic text of Chinese materia medica in China compiled in the Eastern Han Dynasty (25–220 AD) [2]. Among various types of Fritillariae Bulbus, Fritillariae Cirrhosae Bulbus (FCB) is more valuable and regarded as “top grade” [3]. FCB has been officially documented as the bulbs of six Fritillaria species (F. cirrhosa D.Don, F. unibracteata P.K.Hsiao & K.C.Hsia, F. przewalskii Maxim. ex Batalin, F. delavayi Franch., F. taipaiensis P.Y.Li and F. unibracteata var. wabuensis (S.Y.Tang & S.C.Yueh) Z.D.Liu, Shu Wang & S.C.Chen) in the Pharmacopoeia of the People’s Republic of China (Chinese Pharmacopoeia) (2020 edition). DNA technique is an independent approach to traditional species identification methods such as morphological and chemical analysis. DNA test results are not affected by ages, physiological conditions and habitats of organisms, which is particularly useful for discrimination of morphologically confused CMMs and CMMs without unique chemical markers. Compared with DNA sequencing-based methods like DNA barcoding, the experimental procedure of polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) is relatively simple and suitable for rapid screening of medicinal materials. PCR–RFLP method for identification of FCB was first included in the First Supplement of the Chinese Pharmacopoeia (2010 edition). It is the first plant-derived materia medica with a DNA-based identification method in the Chinese Pharmacopoeia and also in Hong Kong Chinese Materia Medica Standards (HKCMMS).

The PCR–RFLP method involves the amplification of a ~ 300 bp-fragment from the internal transcribed spacer 1 (ITS1) in the nuclear ribosomal DNA region, followed by the restriction digestion by SmaI restriction enzyme. As SmaI restriction site (5′-CCCGGG-3′) is present in the ITS1 region of FCB but not in that of other Fritillariae Bulbus (non-FCB), only FCB species would give one ~ 200-bp and one ~ 100-bp fragments after SmaI digestion. For non-FCB, there should be only one ~ 300-bp fragment after digestion, or no band at all because of the absence of PCR amplicon. These unique RFLP patterns allow the differentiation of FCB from the bulbs of other Fritillaria species qualitatively [4]. However, it has long been known that the 300-bp ITS1 amplicon of FCB may not be completely cut, and weak, uncut 300-bp bands could be observed after PCR–RFLP in various studies [4,5,6,7]. This incomplete digestion might limit the applicability of the PCR–RFLP method towards processed FCB samples, such as FCB powder. The uncut 300-bp could be ambiguous as the operator is unable to determine whether its presence is due to admixture of non-FCB species or is just a natural phenomenon in some FCB species.

The internal transcribed spacers (ITSs) lie within the 35S ribosomal DNA units. ITS1 and ITS2 are transcribed but non-coding sequences between the 18S and 5.8S rRNA genes (ITS1) and between the 5.8S and 25S/28S rRNA genes (ITS2) in eukaryotes [8, 9]. Ribosomal DNA (rDNA) is abundant in eukaryotic genomes with highly variable copy number per genome in different species. The rDNA cistrons exist as arrays of tandem repeats. In plants, the number of rDNA copy varies from 500 to 40,000 per diploid cell [10]. There is a strong positive correlation between rDNA copy number and genome size in both plants and animals [11]. Genus Fritillaria is known to carry giant genomes, with genome size values ranging from 30.15 Gb to 85.38 Gb in different species [12]. The copy number of 35S rDNA of Fritillaria imperialis was estimated to be around 4000 by Southern blot hybridization or around 6200 by high throughput sequencing [13]. It was once presumed that the sequences of the rDNA copies in the same cell should remain largely the same caused by a sequence homogenization mechanism under concerted evolution [14, 15]. Nonetheless, intragenomic heterogeneity of rDNA sequences (and ITS sequences) exists. With the development of high throughput sequencing, intragenomic variations in rDNA cistrons and ITS sequences have been reported in various groups of fungi [16,17,18], animals [19,20,21] and plants [22,23,24]. Intragenomic heterogeneity of ITS1 sequences has also been reported in Lilium and Tulipa [22, 25], which belong to Liliaceae, the same family of Fritillaria.

In view of the above reasons, it is speculated that Fritillaria would also carry a relatively high copy number of rDNA with intragenomic sequence variations, which may cause the incomplete digestion of the 300-bp amplicon in the PCR–RFLP method. We decided to carry out high-throughput amplicon sequencing on Fritillaria using Illumina platform to look into the following questions: (1) Is the incomplete digestion on FCB due to the intragenomic heterogeneity of ITS1 sequences, or non-targeted amplification of environmental sequences, such as fungal ITS1? (2) Do different FCB species have different proportion of ITS1 sequences without SmaI restriction site 5′-CCCGGG-3′? (3) How many ITS1 haplotypes do the Fritillaria species have? (4) Would FCB and non-FCB species share the same ITS1 haplotypes?

Methods

Sample collection

A total of 43 dried bulb samples from 12 Fritillaria species were collected from different parts of China or obtained from the curations of Hong Kong Chinese Materia Medica Standards (HKCMMS) program, including 7 samples of F. cirrhosa (川貝母), 5 samples of F. unibracteata (暗紫貝母), 5 samples of F. przewalskii (甘肅貝母), 5 samples of F. delavayi (梭砂貝母), 4 samples of F. taipaiensis (太白貝母), 2 samples of F. unibracteata var. wabuensis (瓦布貝母), 3 samples of F. ussuriensis (平貝母), 2 samples of F. pallidiflora (伊犁貝母), 1 sample of F. thunbergii (浙貝母), 4 samples of F. hupehensis (湖北貝母), 1 sample of F. walujewii (新疆貝母), and 1 sample of F. puqiensis (蒲圻貝母) (Table 1). One sample of F. unibracteata, RD176, acted as an extraction positive control for DNA extraction and PCR–RFLP procedure, and was included in each batch of experiments. It was also regarded as a sample for amplicon sequencing. Reference material of F. unibracteata (T5177) from National Institutes for Food and Drug Control (NIFDC), China, was included for comparison. The collected samples have been authenticated by Prof. Shu Wang of Sichuan University or experts in research team of Prof. Karl Wah-Keung Tsim of Hong Kong University of Science and Technology. Voucher specimens of the samples were deposited at Li Dak Sum Yip Yio Chin R & D Centre for Chinese Medicine, The Chinese University of Hong Kong.

Table 1 Information of Fritillariae Bulbus samples

DNA extraction

Genomic DNA was extracted using Broad-spectrum Plant Rapid Genomic DNA kit (Biomed, Beijing, China) with modifications. In brief, 50 mg of dried bulb sample was weighed and ground into powder using Mixer Mill MM 400 (Retsch, Nordrhein-Westfalen, Germany) at a shaking frequency of 28 Hz for 30 min. Powdered sample was mixed with 600 μl Lysis Buffer AP1 and 6 μl RNase A before being incubated at 65 °C for 1 h with intermittent vortexing. Then, 190 μl Buffer AP2 was added, and the sample was incubated at – 20 °C for 30 min, followed by 10-min centrifugation at 13,000 rpm. Clear supernatant was obtained and mixed with 900 μl Binding Buffer AP3, before being added to a spin column to purify the DNA, which was eluted in 50 μl Elution Buffer, after two rounds of membrane washing with 500 μl Wash Buffer. The quantity of genomic DNA was measured using a NanoDrop Lite Spectrophotometer (Thermo Fisher Scientific, CA, USA). All samples were extracted in duplicates.

PCR–RFLP

The polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) method for identification of Fritillariae Cirrhosae Bulbus in the Chinese Pharmacopoeia (2020 edition) was modified and performed in duplicates. A 30 μl PCR reaction mixture contained 6 μl 5X PCR buffer (with 2 mM MgCl2 at final concentration), 0.6 μl 10 mM dNTPs, 0.5 μl 30 μM forward primer (5′-CGTAACAAGGTTTCCGTAGGTGAA-3′), 0.5 μl 30 μM reverse primer (5′-GCTACGTTCTTCATCGAT-3′), 0.2 μl Q5 High-Fidelity DNA polymerase and 1 μl DNA template. PCR amplification was carried out in a T100 thermal cycler (Bio-Rad, CA, USA) programmed with a pre-denaturation at 95 °C for 4 min, 30 cycles of 30 s at 95 °C, 30 s at 55 °C and 30 s at 72 °C, followed by a final extension at 72 °C for 5 min, as stated in the Chinese Pharmacopoeia. The PCR products were subjected to RFLP according to Chinese Pharmacopoeia. A 20 μl reaction containing 1X CutSmart buffer, 6 μl PCR product and 5U SmaI (NEB, MA, USA) was incubated at 30 °C for 2 h. Results were visualized by 1.5% agarose gel electrophoresis.

Illumina MiSeq amplicon sequencing

Sequencing libraries were generated with reference to “16S Metagenomic Sequencing Library Preparation” for Illumina MiSeq Platform [26]. The first-stage PCR involves amplification of the ITS1 region using a pair of primers with adaptors added to the 5′ ends of the primers for Fritillariae Cirrhosae Bulbus in Chinese Pharmacopoeia (BeiMu_Miseq_1F: 5′-TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGGCTACGTTCTTCATCGAT -3′ and BeiMu_Miseq_1R: 5′-GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGCGTAACAAGGTTTCCGTAGGTGAA-3′) using Q5 High-Fidelity DNA polymerase. The ITS1 amplicons were indexed in the second-stage PCR using Nextera XT index kit v2 Set A and purified according to the manufacturer’s instructions. The prepared libraries were quantified using Qubit 2.0 Fluorometer. Normalized libraries were pooled and sequenced with an Illumina MiSeq platform using the 2 × 300 bp paired end protocol.

Amplicon sequence variants analysis

Raw sequencing reads were first demultiplexed and then analysed using the DADA2 package in R [27]. Primers were removed from the reads with Cutadapt. Trimming and filtering was performed using filterAndTrim function with maxN at 0, maxEE at c(5, 5), truncQ at 2, maxEE of 5 and minLen at 80. The forward and reverse reads were denoised and merged into paired reads. Chimera sequences were then removed with de novo chimera checking with default consensus option. The resulting amplicon sequence variants (ASVs, i.e. haplotypes) were then outputted in a ASV table summarising the sequence of each ASV and the abundance of the ASVs in different samples. To separate the ASVs of ITS1 of Fritillaria species from those of fungi, the ASVs were mapped to the ITS1 sequence, obtained by Sanger sequencing, of the reference material of F. unibracteata (T5177) from NIFDC using clc_mapper function of CLC Assembly Cell package v5.1.1. Mapped ASVs with length longer than 250 bp were regarded as full-length ASVs of ITS1 region of Fritillaria species. Only full-length ASVs with over 1% abundance in at least one of the samples were regarded as major ASVs and used for further analysis. To detect the fungal ITS1 amplicons, the assignTaxonomy function, a naïve Bayes classifier (RDP classifier) implemented in DADA2, was carried out using UNITE general FASTA release for Fungi “sh_general_release_dynamic_10.05.2021.fasta” database [28].

p-distance analysis

All major ASVs were aligned using MAFFT [29]. MEGA X [30] was used to calculate p-distances between all major ASVs for intragenomic, intraspecific and interspecific comparisons.

Haplotype network analysis

For validation, the major ASVs were aligned with the ITS1 sequences from the F. unibracteata reference (T5177) and 7 Lilium species as outgroup, which were retrieved from Rønsted et al. (2005) [31], using MAFFT [29]. The aligned sequences were used to construct a maximum likelihood tree using FastTree [32], which was then visualized in Evolview v3 [33]. Subsequently, a haplotype network for major ASVs was constructed under TCS method [34] using PopART version 1.7 [35] with Ɛ value set at 0. To reduce the computer processing demand while maintaining the relative abundance of the major ASVs, we divided the abundance of the major ASVs by 100 in all samples. Graphic editing was performed with Inkscape Vector software version 1.1.2 (https://www.inkscape.org/).

Results

PCR–RFLP patterns

All samples were analyzed in duplicates for PCR–RFLP assay. One sample of F. cirrhosa, RD176, was included in each batch of extraction as an extraction positive control. Results of PCR–RFLP assay before and after SmaI digestion are shown in Fig. 1a–e and f–i, respectively. We loaded 10 μl RFLP products per well, relatively high amounts compared to recommended levels stated in the monograph of Fritillariae Cirrhosae Bulbus of the Chinese Pharmacopeia, for better visualization of non-specific amplification and undigested bands. Clear and bright 300-bp bands of varying intensity were obtained from all FCB samples after PCR (Fig. 1a–c). In sample T5231-A (F. przewalskii), T5232-A and -B (F. przewalskii), T4978-A and -B (F. delavayi), T5237-A and -B (F. delavayi), non-targeted amplicons at about 250 bp were observed. Most of the non-FCB also gave a 300-bp band, except for T5225-A (F. ussuriensis), T4940-A (F. hupehensis) and T5240-A and -B (F. puqiensis), which gave no band or very weak bands of different sizes.

Fig. 1
figure 1

PCR–RFLP of genuine and non-genuine Fritillaria species. All six genuine species could be successfully amplified and digested, with weak 300-bp bands remaining uncut. The non-genuine samples were either not amplified or produced a ~ 300-bp band that was only weakly digested. RD176 and T5177 were chosen as extraction positive controls and were extracted together with the samples in different rounds of extractions

After SmaI digestion, ~ 200-bp band and ~ 100-bp band were seen in all FCB samples, which conform to the positive results of authentic Fritillariae Cirrhosae Bulbus. However, the 300-bp band of different degree of brightness remained in all FCB samples. For congeneric non-FCB, the amplicons of F. ussuriensis and F. thunbergii were not digested. Digested bands of ~ 200 bp and ~ 100 bp were observed in T4940-B (the sample claimed to be F. hupehensis), T5239-A and -B and RD216-A and -B (F. pallidiflora) (Fig. 1i), with the digested bands of T5239-A and -B being weaker than the others.

Determination of ASVs

For each sample, the DNA extract duplicate that gave a stronger 300-bp band after PCR was selected for amplicon sequencing. The data of high throughput pair-end amplicon sequencing and the results of amplicon sequence variants (ASVs) picking are summarized in Table 2. In total, 13,386–220,794 (82,719 on average) raw reads were generated per sample. After filtering, denoising, pair-read merging and removal of chimera by DADA2, there were 6353–76,376 (31,950 on average) denoised, merged, non-chimera reads per sample. All ASVs available and their abundance in different samples were outputted for further analysis. In total, there were 1,373,848 reads, consisting of 2708 ASVs. The resulting ASVs were mapped to the ITS1 sequence of the reference material of F. unibracteata (T5177). ASVs successfully mapped to this reference sequence and with a length longer than 250 bp were regarded as full-length Fritillaria ITS1 ASVs, or ITS1 haplotypes, with a total number of 1521. T5221-B, T5240-B and T4985-B did not contain any reads that could be mapped to the reference sequence, and therefore were not further analysed. For FCB species, most of their non-chimera reads (82.03% in average) were full-length Fritillaria ITS1 sequences, with the exception of T5237-B, T5232-B and T4976-B, which contained only 18.05%, 20.01% and 46.98% full-length Fritillaria ITS1 reads, respectively. T5237-B and T5232-B, as mentioned above, had produced a non-specific 250-bp band after PCR, whereas T4976-B had produced a 300-bp band which was only partially digested by SmaI (Fig. 1h). For non-FCB samples, the average percentage of full-length Fritillaria ITS1 reads was only 64.28%, indicating a higher level of non-targeted amplification than FCB.

Table 2 Statistics of data from high throughput amplicon sequencing

There were 1–29 major ASVs in each sample. Major ASVs represented 76.73–100% of full-length Fritillaria ITS1 sequences in all samples. Detailed figures of major ASVs were also shown in Table 2. In subsequent analyses, all reads and ASVs of Fritillaria ITS1 were used for comparison of sequences in the locus of SmaI recognition site and p-distance analysis, respectively. Major ASVs were included for building phylogenetic tree and haplotype network for better clarity and lower computational demand without sacrificing many details.

Locus of SmaI recognition sites

The 3 most frequent sequences at the locus of SmaI recognition sites in Fritillaria ITS1 reads were CCCGGG, CTCGGG and CACGGG, differing only at the second position. The percentage of Fritillaria ITS1 reads containing the recognition site CCCGGG was significantly different between FCB and non-FCB species. For F. cirrhosa, F. taipaiensis, and F. unibracteata, the average percentages were 91.81 ± 9.45%, 97.95 ± 1.41% and 96.70 ± 3.10%, respectively. The percentages of the remaining three FCB species were lower (83.47 ± 14.39% for F. przewalskii, 72.12 ± 23.00% for F. delavayi and 63.59 ± 1.29% for F. unibracteata var. wabuensis). Samples of F. delavayi varied the most in the percentage of reads containing CCCGGG, from 37.11% (T5236-B) to 98.86% (T5235-A). FCB samples with less than 70% CCCGGG-containing reads also had brighter undigested bands after RFLP (Fig. 1g, h). Fritillaria ITS1 reads containing CCCGGG were absent in most non-FCB samples. Sample T4940-B (F. hupehensis) and RD216-B (F. pallidiflora) were two exceptions. The presence of CCCGGG-containing reads in these two samples were also in line with the presence of digested ~ 200-bp and ~ 100-bp bands in Fig. 1i. T4940-B showed a high percentage of CCCGGG-containing ASVs (63.81%) and it had 29 major ASVs that could not be found in the three other F. hupehensis samples. Further, T4940-A was not successfully amplified at all, with an absence of the 300-bp band in Fig. 1d. The results suggested that T4940 might have been misidentified. RD216-B, F. pallidiflora, only had 8.97% CCCGGG-containing reads. However, no CCCGGG-containing read could be found in another sample of F. pallidiflora (T5239-B). We further looked into the major ASVs of these two samples. All 29 major ASVs of T4940-A were matched to several FCB species in MegaBLAST, suggesting that this sample has been misidentified or mixed into a batch of F. hupehensis sample. One out of six major ASVs (Seq151) of RD216-B contained the CCCGGG sequence. However, Seq151 is still matched to F. pallidifora (Accession MN121628.1) at 98.94% identity in MegaBLAST. This revealed that non-FCB species could still contain a small proportion of CCCGGG-containing ITS1 haplotypes. The second most common sequence was CTC GGG, which accounted for in average 9.2% and 86.53% of Fritillaria ITS1 reads in FCB and non-FCB Fritillaria samples, respectively.

Clustering of ASVs

To estimate the sequence variations among different ASVs within individuals, within species and between different species, we calculated the p-distances between ASVs. Table 3 shows the minimum and maximum values of intragenomic, intraspecific, and interspecific p-distances of each Fritillaria species. All six FCB species had the same minimal intragenomic p-distance, 0.0038. Their maximum intragenomic p-distances ranged from 0.0347 to 0.0795 (0.0583 in average). The maximum intragenomic p-distances of non-FCB species were 0.0641–0.2336, significantly higher than those of the FCB species (p = 0.015 in Student’s t-test). The maximum intraspecific p-distances were not significantly higher than those of intragenomic distances (p > 0.05 in Student’s t test), especially for non-FCB species which only had 1–4 individuals. The minimum interspecific p-distances of 8 out of 10 Fritillaria species were zero, meaning that those species have shared at least one identical ASV with other species.

Table 3 p-distances of ITS1 ASVs in various Fritillaria species

The identities of 139 major ASVs were confirmed by constructing a phylogenetic tree with the ITS1 sequences from the F. unibracteata reference (T5177) and 7 Lilium species as outgroup (Additional file 1: Fig. S1a). Of all major ASVs, 92 contain the restriction site CCCGGG (Additional file 1: Fig. S1b). Further, the major ASVs of all Fritillaria samples were plotted in one haplotype network (Fig. 2), in order to illustrate the relationship among the ASVs and to show how many ASVs were shared among multiple FCB and non-FCB species. The ASVs of FCB and non-FCB species can be generally separated into two clusters. The four most abundant ASVs, namely Seq1, Seq3, Seq4 and Seq5, were present in 5–6 FCB species (Fig. 2; Additional file 1: Fig. S1c, d). It appeared to be more common for FCB species, than non-FCB species, to share the same ASVs. Out of the 95 ASVs in FCB species, 18 of them were present in more than one FCB species. For non-FCB species, only 3 out of 51 ASVs were shared between two species, F. hupehensis and F. thunbergia. Twenty-eight ASVs belonging to the “FCB” cluster were also present in a non-FCB sample, which was the F. hupehensis sample in doubt, T4940-B. Most of them contained the SmaI recognition sequence 5′-CCCGGG-3′. It is also worth noting that the ASVs of FCB species that did not contain the recognition sequence were still in the “FCB” cluster and were linked to the more abundant, CCCGGG-containing ASVs by just several mutational steps. This showed that the alternation of the SmaI recognition sequence was because of the mutations of ASVs of FCB species, rather than the presence of ASVs of non-FCB species.

Fig. 2
figure 2

A TCS network constructed for major ASVs (haplotypes) of ITS1 sequences of all Fritillaria species investigated. Sizes of the circles are proportional to the number of ASVs. The number of mutations between haplotypes are indicated by the hatch marks. ASVs containing the CCCGGG recognition site are in bold. F. hupehensis was found to be grouped into FCB clusters, which was due to the misidentification of T4940 as F. hupehensis or T4940 was mixed into a batch of F. hupehensis sample

We attempted to determine if the remaining ASVs that were not mapped as Fritillaria ITS1 sequences belonged to fungal ITS, by using the assignTaxonomy function implemented in DADA2. As expected, samples with lower percentages of full-length Fritillaria ITS ASVs would have higher percentages of ASVs identified as fungal (Table 2). Samples that showed distinct non-target bands at ~ 250 bp in gel electrophoresis after PCR (T5232, T5237, T5221, T4985, RD216) (Fig. 1b–d) showed high percentages of fungal ASVs (over 50%). To investigate whether the ~ 300-bp undigested bands in gel electrophoresis after PCR–RFLP were from the fungal ITS sequences, we counted the number of fungal ASVs with length larger than 250 bp, as the ~ 300-bp amplicons in PCR–RFLP should yield ASVs of approximately 266 bp in length after primer trimming. However, most samples, FCB or non-FCB, did not produce any fungal ASVs longer than 250 bp. For samples that did have fungal ASVs larger than 250 bp, the numbers and proportions relative to the total denoised, merged reads were very small. This showed that the ~ 300-bp undigested bands were not originated from fungal ITS sequences co-amplified with the samples. Some fungal ASVs could be identified up to species level, while some were only identified to genus or family level. The numbers and proportions of fungal ASVs of different orders for each species are shown in Fig. 3.

Fig. 3
figure 3

The numbers (a) and percentages (b) of fungal ASVs identified at order level for each Fritillaria species

Discussion

In this study, we aim to investigate the reason of incomplete digestion of the 300-bp amplicon from FCB in PCR–RFLP assay for the identification of Fritillariae Cirrhosae Bulbus listed in Chinese Pharmacopoeia. We have collected 43 samples from six FCB species and four non-FCB species for PCR–RFLP assay and high-throughput amplicon sequencing of the 300-bp PCR products obtained. The target region of this method has not been stated in the monograph of Fritillariae Cirrhosae Bulbus of the Chinese Pharmacopeia; nevertheless, through our DNA sequence analysis, we revealed that the target region was actually the ITS1 region of Fritillaria species. Therefore, we focused on the ITS1 region of Fritillaria in this study. We have confirmed the intragenomic heterogeneity of ITS1 sequences, i.e. the presence of multiple ITS1 haplotypes, in various Fritillaria species by high-throughput amplicon sequencing. In fact, variations at CCCGGG-recognition site of FCB species could also be confirmed by the minor peaks in the electropherograms produced by Sanger sequencing (Additional file 2: Fig. S2).

ITS1 haplotypes without CCCGGG-recognition site were found in all FCB species, while CCCGGG-containing ITS1 haplotype could be found in one non-FCB sample (F. pallidifora, RD216-B). By eliminating any contribution to the 300-bp band from fungal ITS1 amplicons, we showed that the incomplete digestion in FCB species in the PCR–RFLP assay was due to the intragenomic heterogeneity of ITS1 sequence. We believe that this situation is not an isolated incident, as incomplete digestion of PCR amplicon could also be observed in a PCR–RFLP identification assay for Pulsatilla chinensis based on ITS2 sequences [36].

The number of full-length Fritillaria ITS1 ASVs and the genetic distances among them can indicate the divergence of the region within and among different genomes [22]. In this study, we found that each sample contained 4–91 full length Fritillaria ITS1 ASVs, suggesting that all Fritillaria samples exhibited intragenomic heterogeneity in ITS1 sequences with different numbers of ITS1 haplotypes. Similar to a previous study [37], only ASV with an emergence frequency above 1% in at least one of the samples would be regarded as major ASV. A high proportion of reads mapped to Fritillaria suggesting that the PCR amplification of ITS1 of FCB Fritillaria species was quite successful with a low proportion of non-targeted amplicons. It should be noted that the fungal identification was based on ITS sequences amplified with a pair of ITS primers targeting Fritillaria, which was not universal to fungus in general. A successful amplification of Fritillaria ITS sequences would, expectedly, have very little or no co-amplification of fungal ITS sequences. The fungal species identified in this study were merely those co-amplified in the PCR–RFLP assay. They do not represent the compositions of the fungal microbiome associated with the Fritillaria bulbs.

Our results should raise concern on selection of multi-copy DNA regions, such as ITS1 and ITS2, as genetic markers for developing molecular identification method. Apart from differentiation power between species, i.e. specificity, sensitivity and cross reactivity of the assay, intragenomic variation of genetic marker should also be taken into consideration during method development. The haplotype network (Fig. 2) illustrates that several ITS1 ASVs/haplotypes are shared among multiple Fritillaria species. Similar ITS2-haplotype sharing has also been previously reported in other plants [22, 37]. Whether this phenomenon would lead to false positive identification or over-estimation of the number of plant species in molecular authentication of multi-herb products remain to be investigated [38]. This study has demonstrated how the intragenomic heterogeneity of a multi-copy genetic marker would lead to ambiguous results in an identification test and limit the applicability of the test to qualitative identification of sample originated from one species only.

Conclusion

In summary, our research confirms that FCB possesses ITS1 haplotypes with no SmaI restriction site. Moreover, different FCB species have different proportion of ITS1 sequences without the restriction site. Overall, this study contributes to the investigation of a scientific approach in explaining incomplete digestion in PCR–RFLP analysis and strategy could aid in the development of DNA test for identification of Chinese herbal medicine.

Data availability

The datasets used or analyzed throughout this study are available from the corresponding author upon reasonable request.

Abbreviations

FCB:

Fritillariae Cirrhosae Bulbus

PCR–RFLP:

Polymerase chain reaction-restriction fragment length polymorphism

Chinese Pharmacopoeia:

Pharmacopoeia of the People’s Republic of China

HKCMMS:

Hong Kong Chinese Materia Medica Standards

ITS:

Internal transcribed spacer

rDNA:

Ribosomal DNA

NIFDC:

National Institutes for Food and Drug Control

ASVs:

Amplicon sequence variants

References

  1. Wang Y, Hou H, Ren Q, Hu H, Yang T, Li X. Natural drug sources for respiratory diseases from Fritillaria: chemical and biological analyses. Chin Med. 2021;16:40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Zhao Z, Guo P, Brand E. A concise classification of bencao (materia medica). Chin Med. 2018;13:18.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Quan Y, Li L, Yin Z, Chen S, Yi J, Lang J, Zhang L, Yue Q, Zhao J. Bulbus Fritillariae Cirrhosae as a respiratory medicine: is there a potential drug in the treatment of COVID-19? Front Pharmacol. 2022;12: 784335.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Wang CZ, Li P, Ding JY, Peng X, Yuan CS. Simultaneous identification of Bulbus Fritillariae cirrhosae using PCR-RFLP analysis. Phytomedicine. 2007;14:628–32.

    Article  CAS  PubMed  Google Scholar 

  5. Xu C, Li H, Li P, Zhang Y, Wang S. Molecular method for the identification of Bulbus Fritillariae Cirrhosae. J China Pharm Univ. 2010;41:226–30.

    CAS  Google Scholar 

  6. Zhang W, Liu W, Wei F, Ma S. Study on identifying adulterants in Fritillariae Cirrhosae Bulbus with polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLP) method. Chin J Pharm Anal. 2014;34:1830–5.

    CAS  Google Scholar 

  7. Zhao Z, Chang Z, Yuan C, Li R, Wang C, Wang Y, Lan Q. Authentication of Fritillariae Cirrhosae Bulbus by PCR-RFLP. J Henan Agric Univ. 2018;52:249–53.

    Google Scholar 

  8. Hemleben V, Volkov RA, Zentgraf U, Medina FJ. Molecular cell biology: organization and molecular evolution of rDNA, nucleolar dominance, and nucleolus structure. In: Esser K, Lüttge U, Beyschlag W, Murata J, editors. Progress in Botany 65. Heidelberg: Springer; 2004. p. 106–46.

    Chapter  Google Scholar 

  9. Hemleben V, Grierson D, Borisjuk N, Volkov RA, Kovarik A. Personal perspectives on plant ribosomal RNA genes research: from precursor-rRNA to molecular evolution. Front Plant Sci. 2021;12: 797348.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Rogers SO, Bendich AJ. Ribosomal RNA genes in plants: variability in copy number and in the intergenic spacer. Plant Mol Biol. 1987;9:509–20.

    Article  CAS  PubMed  Google Scholar 

  11. Prokopowich CD, Gregory TR, Crease TJ. The correlation between rDNA copy number and genome size in eukaryotes. Genome. 2003;46:48–50.

    Article  CAS  PubMed  Google Scholar 

  12. Kelly LJ, Renny-Byfield S, Pellicer J, Macas J, Novák P, Neumann P, Lysak MA, Day PD, Berger M, Fay MF, Nichols RA, Leitch AR, Leitch IJ. Analysis of the giant genomes of Fritillaria (Liliaceae) indicates that a lack of DNA removal characterizes extreme expansions in genome size. New Phytol. 2015;208:596–607.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Wang W, Ma L, Becher H, Garcia S, Kovarikova A, Leitch IJ, Leitch AR, Kovarik A. Astonishing 35S rDNA diversity in the gymnosperm species Cycas revoluta Thunb. Chromosoma. 2016;125:683–99.

    Article  CAS  PubMed  Google Scholar 

  14. Schlötterer C, Tautz D. Chromosomal homogeneity of Drosophila ribosomal DNA arrays suggests intrachromosomal exchanges drive concerted evolution. Curr Biol. 1994;4:777–83.

    Article  PubMed  Google Scholar 

  15. Gonzalez IL, Sylvester JE. Human rDNA: evolutionary patterns within the genes and tandem arrays derived from multiple chromosomes. Genomics. 2001;73:255–63.

    Article  CAS  PubMed  Google Scholar 

  16. Yang RH, Su JH, Shang JJ, Wu YY, Li Y, Bao DP, Yao YJ. Evaluation of the ribosomal DNA internal transcribed spacer (ITS), specifically ITS1 and ITS2, for the analysis of fungal diversity by deep sequencing. PLoS ONE. 2018;13: e0206428.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Estensmo ELF, Maurice S, Morgado L, Martin-Sanchez PM, Skrede I, Kauserud H. The influence of intraspecific sequence variation during DNA metabarcoding: a case study of eleven fungal species. Mol Ecol Resour. 2021;21:1141–8.

    Article  PubMed  Google Scholar 

  18. Paloi S, Mhuantong W, Luangsa-Ard JJ, Kobmoo N. Using high-throughput amplicon sequencing to evaluate intragenomic variation and accuracy in species identification of Cordyceps species. J Fungi (Basel). 2021;7:767.

    Article  CAS  PubMed  Google Scholar 

  19. Batovska J, Cogan NO, Lynch SE, Blacket MJ. Using next-generation sequencing for DNA barcoding: capturing allelic variation in ITS2. G3 (Bethesda). 2017;7:19–29.

    Article  CAS  PubMed  Google Scholar 

  20. Fagan-Jeffries EP, Cooper SJB, Bradford TM, Austin AD. Intragenomic internal transcribed spacer 2 variation in a genus of parasitoid wasps (Hymenoptera: Braconidae): implications for accurate species delimitation and phylogenetic analysis. Insect Mol Biol. 2019;28:485–98.

    Article  CAS  PubMed  Google Scholar 

  21. Pereira TJ, De Santiago A, Schuelke T, Hardy SM, Bik HM. The impact of intragenomic rRNA variation on metabarcoding-derived diversity estimates: a case study from marine nematodes. Environ DNA. 2020;2:519–34.

    Article  Google Scholar 

  22. Song J, Shi L, Li D, Sun Y, Niu Y, Chen Z, Luo H, Pang X, Sun Z, Liu C, Lv A, Deng Y, Larson-Rabin Z, Wilkinson M, Chen S. Extensive pyrosequencing reveals frequent intra-genomic variations of internal transcribed spacer regions of nuclear ribosomal DNA. PLoS ONE. 2012;7: e43971.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  23. Alanagreh L, Pegg C, Harikumar A, Buchheim M. Assessing intragenomic variation of the internal transcribed spacer two: adapting the Illumina metagenomics protocol. PLoS ONE. 2017;12: e0181491.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Rodionov AV, Gnutikov AA, Nosov NN, Machs EM, Mikhaylova YV, Shneyer VS, Punina EO. Intragenomic polymorphism of the ITS 1 region of 35S rRNA gene in the group of grasses with two-chromosome species: different genome composition in closely related Zingeria species. Plants (Basel). 2020;9:1647.

    Article  CAS  PubMed  Google Scholar 

  25. Booy G, van der Schoot J, Vosman B. Heterogeneity of the internal transcribed spacer 1 (ITS1) in Tulipa. Plant Syst Evol. 2000;225:29–41.

    Article  CAS  Google Scholar 

  26. Illumina Inc. 16S Metagenomic sequencing library preparation. Part # 15044223 Rev. B. https://support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/16s/16s-metagenomic-library-prep-guide-15044223-b.pdf. Accessed 11 July 2022.

  27. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJ, Holmes SP. DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016;13:581–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Abarenkov K, Zirk A, Piirmann T, Pöhönen R, Ivanov F, Nilsson RH, Kõljalg U UNITE general FASTA release for Fungi. Version 10.05.2021. UNITE Community. https://doi.org/10.15156/BIO/1280049. Accessed 11 July 2022.

  29. Katoh K, Rozewicki J, Yamada KD. MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. Brief Bioinform. 2019;20:1160–6.

    Article  CAS  PubMed  Google Scholar 

  30. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 2018;35:1547–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Rønsted N, Law S, Thornton H, Fay MF, Chase MW. Molecular phylogenetic evidence for the monophyly of Fritillaria and Lilium (Liliaceae; Liliales) and the infrageneric classification of Fritillaria. Mol Phylogenet Evol. 2005;35:509–27.

    Article  PubMed  Google Scholar 

  32. Price MN, Dehal PS, Arkin AP. FastTree 2-approximately maximum-likelihood trees for large alignments. PLoS ONE. 2010;5: e9490.

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  33. Subramanian B, Gao S, Lercher MJ, Hu S, Chen WH. Evolview v3: a webserver for visualization, annotation, and management of phylogenetic trees. Nucleic Acids Res. 2019;47:W270–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Clement M, Posada D, Crandall KA. TCS: a computer program to estimate gene genealogies. Mol Ecol. 2000;9:1657–9.

    Article  CAS  PubMed  Google Scholar 

  35. Leigh JW, Bryant D. POPART: full-feature software for haplotype network construction. Methods Ecol Evol. 2015;6:1110–6.

    Article  Google Scholar 

  36. Shi Y, Zhao M, Yao H, Yang P, Xin T, Li B, Sun W, Chen S. Rapidly discriminate commercial medicinal Pulsatilla chinensis (Bge) Regel from its adulterants using ITS2 barcoding and specific PCR-RFLP assay. Sci Rep. 2017;7:40000.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  37. Wang X, Chen X, Yang P, Wang L, Han J. Barcoding the Dendrobium (Orchidaceae) species and analysis of the intragenomic variation based on the internal transcribed spacer 2. BioMed Res Int. 2017;2017(2017):2734960.

    PubMed  PubMed Central  Google Scholar 

  38. Wu HY, Shaw PC. Strategies for molecular authentication of herbal products: from experimental design to data analysis. Chin Med. 2022;17:38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank FONG Ho-ching, Edmund and LAW Kwok-wai, Robert of the Department of Health of HKSAR, for their support and encouragement during this study.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: PCS. Design of the study: HYW and KLW. Sample collection: HYW, KLW and GL. DNA extraction and PCR-RFLP assay: HYW. Amplicon sequencing: KLW. Data analysis: HYW, KLW, WN, STSL, KTC. Manuscript drafting: HYW, KLW. Critical revisions of manuscript: PCS, JHLH, GL, WHC.

Corresponding author

Correspondence to Pang-Chui Shaw.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Fig. S1.

a) Maximum likelihood tree of ITS1 sequences from Fritillaria major ASVs and the T5177 reference sequence (highlighted in green) as well as 7 Lilium species (highlighted in orange); b) Loci of SmaI recognition site CCCGGG and its mutated forms of CTCGGG, CCACGGG and others, indicated by green, yellow, blue and grey, respectively; c) heatmap showing presence or absence of major ASVs in Fritillariae Cirrhosae Bulbus (FCB) and non-FCB species. F. hupehensis was found to be carried major ASVs with SmaI recognition site CCCGGG, which was due to the misidentification of T4940 as F. hupehensis or T4940 was mixed into a batch of F. hupehensis sample; d) heatmap showing the relative abundance of major ASVs in each FCB and non-FCB species.

Additional file 2: Fig. S2.

Sanger sequencing electropherograms of the SmaI restriction site in the ITS1 region of Fritillaria Cirrhosae Bulbus (FCB) species. Minor variants in SmaI restriction sites (CCCGGG) of selected FCB samples, including RD188 of F. cirrhosa (a), T4975 of F. unibracteata var. wabuensis (b), T5233 of F. przewalskii (c), T5234 of F. delavayi (d) and T5236 of F. delavayi (e), were observed in the corresponding electropherograms. The minor peaks shown are in line with the high throughput sequencing results reported in Table 2.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, HY., Wong, KL., Law, S.TS. et al. Determination of ITS1 haplotypes of Fritillariae Cirrhosae Bulbus by amplicon sequencing. Chin Med 19, 33 (2024). https://doi.org/10.1186/s13020-024-00911-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13020-024-00911-3

Keywords