https://orcid.org/0000-0001-6530-1494
Figures
Abstract
Polygonatum odoratum (Mill.) Druce is a well-known traditional Chinese herb belonging to the Polygonatum. However, the understanding of the genetic diversity of this species at the molecular level is limited due to the lack of transcriptomic and genomic information. In this study, 37,387 unigenes were assembled based on the transcriptome sequencing of the rhizome of Polygonatum odoratum (Mill.) Druce., and 11,021 single- sequence repeats (SSR) motifs, mainly consisting of single-nucleotide repeats (44.44%), dinucleotides (31.06%), and trinucleotides (22.59%), were identified. Based on these SSR motifs, 9,987 primer pairs of SSR markers were designed and 68 SSR markers were randomly selected for verification, of which 21 SSR markers showed polymorphisms among the 24 Polygonatum odoratum germplasms. Ninety-four alleles were detected: the observed alleles ranged from 2 to 11, the effective alleles varied from 1.086 8 to 4.916 8, the Shannon diversity index was 0.173 2~1.749 7, and the polymorphism information content PIC ranged from 0.076 7 to 0.803 9. Based on our analysis of genetic diversity (SSR genotypes) and population structure, we divided the 24 germplasm resources into two groups, indicating that the germplasm with similar geographical origins can be grouped together. In addition, the primers ‘YZ14’ and ‘YZ47’ could effectively distinguished the related species: Polygonatum kingianum Coll.et Hemsl., Polygonatum sibiricum Red., Polygonatum cyrtonema Hua, Polygonatum zanlanscianense Pamp. and Polygonatum odoratum (Mill.) Druce. This is the first study in which a dataset of expressed sequence tag (EST)-SSR markers is constructed for the Polygonatum odoratum (Mill.) Druce, and these newly developed EST-SSR markers provided a very efficient tool for genetic relationship analysis, species identification and marker-assisted selection breeding of Polygonatum odoratum (Mill.) Druce.
Citation: Pan G, Xie J, Qin Y, Zhang S (2024) Development of SSR markers for genetic diversity analysis and species identification in Polygonatum odoratum (Mill.) Druce based on transcriptome sequences. PLoS ONE 19(9): e0308316. https://doi.org/10.1371/journal.pone.0308316
Editor: Vikas Sharma, Sant Baba Bhag Singh University, INDIA
Received: March 31, 2024; Accepted: July 22, 2024; Published: September 23, 2024
Copyright: © 2024 Pan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data for this study are publicly available from the NCBI database under BioProject PRJNA1085407 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1085407).
Funding: Natural Science Foundation of Hunan Province-China (2023JJ50053) and Hunan Traditional Chinese Medicine Research Project (B2023137). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Polygonatum odoratum (Mill.) Druce (P. odoratum), a species in the monocot family Asparagaceae, is used as a traditional Chinese medicine and is widely distributed in Asia, including China and the other Southeast Asian countries such as Thailand and Vietnam [1]. In China, P. odoratum is an important resource for traditional Chinese medicine and the healthcare industry because of its pharmacological effects such as lowering blood sugar and blood lipids and regulating immunity [2]. In addition, as a plant used for both medicine and food, P. odoratum can be used as tonic tea and P. odoratum Congee, and P. odoratum Snow are used in mushroom soup. China has abundant wild and cultivated germplasm resources of P. odoratum, which are widely distributed in Heilongjiang, Jilin, Hubei, Hunan, and other regions.
In recent years, owing to the continuing deepening of research on the medicinal and edible value of P. odoratum, its market demand has increased, resulting in a large amount of wild resources of P. odoratum plants being harvested and some germplasm resources being on the verge of extinction. In addition, owing to genetic variation and interspecific hybridization, it is difficult to discern species within the genus Polygonatum solely by phenotypic characteristics [3, 4]. Consequently, there are many counterfeit products on the market, and the quality of medicinal materials is extremely unstable, compromising drug safety. As an example, the leaves of P. odoratum and Polygonatum cyrtonema Hua (P. cyrtonema) are both mutualistic, making it difficult to distinguish between them at the seedling stage. Similarly, the rhizomes of P. odoratum may be misidentified as the rhizomes of Polygonatum sibiricum Red (P. sibiricum) because of their similar rhizome shapes, although they have different pharmacological properties. Therefore, it is necessary to assess the genetic diversity of P. odoratum and establish a molecular identification technology to distinguish easily confused Chinese medicinal materials in the genus Polygonatum and to provide a reference basis for the protection of germplasm resources, variety selection, and commodity identification of Polygonatum.
In plants, molecular markers can reveal the relationships between and within species at the DNA level, and can be used to discriminate between species regardless of their environment and morphology [5]. DNA markers have been widely used to analyse genetic diversity and identify species identification in medicinal plants, such as Cannabis, Polygonatum Mill., and Physalis species [3, 6, 7]. More than 20 types of DNA markers have been developed, and among which simple sequence repeats (SSRs) are recognized as the best choice for analyzing genetic diversity because of their high variability, codominance, reproducibility, and cross-species transferability [8]. SSRs have been widely used for genetic diversity analysis and species identification in crops, such as tea plants [9], Chinese yam [10], and palmae species [11]. They can be divided into expressed sequence tag SSRs (EST-SSRs) and genomic SSRs (g-SSRs). In general, EST-SSRs have been identified in the transcribed RNA sequences, and genomic SSRs (g-SSRs) have been developed based on their genomic sequences [12]. However, the genome of P. odoratum has not yet been sequenced, and transcriptome sequencing has become the only source of SSR molecular markers. To date, only a transcriptome of P. odoratum has been reported [13], which limits the development and application of SSRs in molecular research on P. odoratum.
In this study, we analysed and screened the distribution characteristics of SSR markers in the transcriptome sequence of rhizome of P. odoratum. SSR primers were designed and validated by evaluating the genetic diversity of 24 germplasms, and species identification in the genus Polygonatum were performed. Our study provides a useful tool for the genetic diversity analysis, species identification, and molecular marker-assisted breeding of P. odoratum.
Materials and methods
Plant materials and DNA extraction
The plant material was collected from five provinces in China; the cultivars were verified by Associate Professor Gen. Pan at the Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine. The 28 Polygonatum germplasms, including 24 Polygonatum odoratum L., 1 Polygonatum kingianum Col et Hemsl., 1 Polygonatum sibiricum Red., 1 Polygonatum cyrtonema Hua, and 1 Polygonatum zanlanscianense Pamp., were planted at Wangcheng Base (Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine). Detailed information is presented in Table 1. Rhizomes of the ‘A4’ germplasm were collected at the mature stage, then flash-frozen in liquid nitrogen and stored in a freezer at -80°C for subsequent RNA extraction and transcriptome sequencing. Three biological replicates of the rhizome tissue were prepared.
Total RNA extraction, cDNA library construction, sequencing and analyses
Total RNA was extracted from the rhizomes of ‘A4’ P. odoratum using an EASYspin Plus Plant RNA Kit (Aidlab Biotechnologies Co., Ltd., Beijing, China). The quality and quantity of the total RNA was assessed on agarose gels and determined using a NanoDrop 2000 instrument (Thermo Fisher Scientific). One μg of total RNA from the rhizome of the ‘A4’ germplasm was then prepared for cDNA synthesis using a NEBNext® Ultra™ II RNA Library Prep Kit (New England Biolabs Inc., Ipswich, MA, USA) according to the previously published protocol [14]. A Qubit 2.0 fluorometer (Life Technologies, CA, USA) and a Bioanalyzer 2100 system (Agilent Technologies, Santa Clara, CA, USA) were used to verify the amount and purity of the library. Lastly, the RNA was sequenced using an Illumina NovaSeq 6000 platform (Illumina) supplied by Shanghai OE Biotech Co., Ltd. (Shanghai, China).
The raw data were processed and filtered using Trimmomat to remove reads containing multiple N’s and poor quality reads, resulting in clean data. The fragments per kilobase of the exon model per million mapped fragments (FPKM) value for each unigene were calculated using Cufflinks. To analyze the functionality of the unigenes, the NR, KOG, GO, Swiss-Prot, eggNOG, and KEGG databases were aligned using DIAMOND [15], and the Pfam databases were aligned using HMMER [16].
Development and primer design of SSR markers
MISA (MIcroSatellite identification tool) software (http://pgrc.ipk-gatersleben.de/misa/) was used to identify microsatellite motifs and to cluster the compounding of microsatellite motifs with dimer, trimer, tetramer, pentamer and tetramer motifs (≥12 bp) in the P. odoratum transcriptome. Sequences with SSR motif flanking lengths ≥50 bp were selected for primer design using Primer 3.0 software (http://pgrc.ipk-gatersleben.de/misa/primer3.html).
SSR genotyping
The 68 primer pairs were randomly selected from the 9,987 primers used for amplification validation. PCR analysis was performed using: 7 μL PCR mixed solution (Qingke, Nanjing, China), 1 μL forward primer (10 nmol/L), 1 μL reverse primer (10 nmol/L), and 1 μL DNA template. The PCR was conducted as follows: 95°C for 5 min, followed by 32 cycles of 45 s at 94°C, 30 s at the primer-specific annealing temperature, 60 s at 72°C, and a final extension of 5 min at 72°C. PCR products were detected by 8.0% non-denaturing polyacrylamide gel electrophoresis (PAGE). After running at 200V for 1.5 h, the PAGE gel was stained with a 0.1% AgNO3 solution.
Data analysis
To construct a matrix of binary values (0 and 1), the polymorphism bands present using the different primers in a sample were recorded as ‘1’, while those absent were recorded as ‘0’. SSR marker characteristics, including observed alleles, effective alleles, and Shannon diversity index, were analysed using the software PopGen 1.32, and polymorphism information content was calculated using PowerMarker 3.25. A clustering map was constructed using NTSYSpc 2.11 based on genetic distances and the unweighted pair group method with arithmetic mean (UPGMA), and the simple matching (SM) coefficient was used to construct a tree. STRUCTURE v2.3.4 was used to estimate the population structure of the 24 genotypes of the P. odoratum germplasm, and the number of subpopulations (K) was set from 1 to 10 based on admixture models and run 20 times per round.
Results
De novo transcriptome assembly
Transcriptome sequencing of the rhizome of ‘A4’ yielded 21.71 of clean data, and the amount of clean data for three replicates ‘A4-1’, ‘A4-2’ and ‘A4-3’ were 7.08 G, 7.5 G, and 7.13 G, respectively, with a Q30 base distribution of 90.6%~93.67%, and a GC content of 47.29%~48.24% (Table 2). In total, 37,387 unigenes were obtained with a total length of 40,524,982 bp. The average length of the 37,387 unigenes was 1083.93 bp, and the largest number of unigenes length was 301–400 bp range, followed by >2,000 bp range (Fig 1A). Among these unigenes, the maximum length was 13,638 bp and the minimum length was 301 bp, respectively (Table 3). In addition, 26,873 CDS sequences were predicted based on 37,387 unigenes, and the largest number of CDS sequences was 301–400 bp (2528), followed by 301–400 bp and 1–200 bp (Fig 1B).
(A) The number of unigenes sequence length distribution. (B) The number of CDS sequence length distribution.
Unigene annotation
Functional analysis of the unigene was performed by comparing them to the NR, KOG, GO, Swiss-Prot, eggNOG, and KEGG databases using the Diamond and to Pfam databases using HMMER. In total, 21,776 unigenes (58.24%) were annotated in the NR database, 15,742 (42.11%) in the Swissprot database, 4630 (12.38%) in the KEGG database, 12,541 (33.54%) in the KOG database, 19,869 (53.14%) in the eggNOG database, 13,701 (36.65%) in the GO database, and 13,666 (36.55%) in the Pfam database (Fig 2). Furthermore, 4,804 unigenes were annotated in all seven databases (Fig 2).
The numbers on the top bar represent the results of the intersection of the databases in the matrix below corresponding to the databases with black dots, and the bars on the left represent the number of unigenes fully annotated to each database.
Identification and characterization of SSRs
Based on the transcriptome of ‘A4’ rhizomes, a total of 11,021 SSR motifs, including 1,034 compound SSRs, were detected in 8,311 unigenes using MISA. Among these SSR motifs, single-nucleotide repeats were the most common, accounting for 44.44% of the total SSRs (4,898), followed by 3,423 dinucleotide and 2,490 trinucleotide SSRs, accounting for 31.06% and 22.59%, respectively, of the total SSRs. Pentanucleotides (33) constituted the smallest proportion of all types of SSR motifs, accounting for only 0.3% of the total SSRs (Fig 3A). All the single-nucleotide repeat SSRs were A/T. Among the dinucleotide repeats, the percentage of CT/AG was the highest, whereas that of GC/GC was the lowest, comprising 27.83% and 0.02%, respectively, of the total (Fig 3B). Among the trinucleotide repeats, five types of SSRs accounted for more than 5%: AGG/CCT, CTG/CAG, CTT/AAG, GCA/TGC and GAG/CTC. With regard to the tetranucleotides, the two types of SSRs (ATTT/AAAT, and TTTC/GAAA) had the highest frequencies (Fig 3B). Additionally, pentanucleotide and hexanucleotide repeats were more difficult to distinguish because they represented only a small proportion of the total SSRs detected.
(A) SSR type statistics chart. (B) Proportion distribution of different type SSR motifs.
Transcriptome-wide SSR marker development and amplification validation
A total of 9,987 primer pairs with a length of 20 bp were successfully designed based on 11,021 SSR motifs, and their target product size ranged from 100 to 300 bp. Subsequently, 68 pairs of SSR primers were randomly selected for validation. The results showed that 41 SSR markers effectively amplified the target bands (S1, S2 Figs), and 21 pairs of primers were found to be polymorphic among the 24 germplasms. The number of amplified fragments ranged from 2 to 11. The primer with the highest number of amplified bands was ‘YZ41’ (11) (Fig 4), and the primers with the lowest number of amplified bands were ‘YZ32’ and ‘YZ56’.
The SSR markers ‘YZ54’ and ‘YZ41’ showed polymorphism among 24 Polygonatum odoratum germplasm resources.
Genetic diversity analysis of P. odoratum germplasms
The 41 SSR markers that effectively amplified the target bands were used to analyse the genetic relationships. Twenty-one SSR markers amplified 94 polymorphic fragments, with an average of 4.47 polymorphic bands. In addition, the PIC ranged from 0.076 7 (‘YZ32’) to 0.803 9 (‘YZ14’), with an average of 0.432 7. The number of observed alleles Na ranged from 2 to 11, and the marker with the highest number of observed alleles was ‘YZ41’, with an average number of observed alleles of 4.476 1. The number of effective alleles Ne ranged from 1.086 8 to 4.916 8, with the highest number of marker being ‘YZ14’, and the lowest number of marker being ‘YZ32’, with a mean of 2.337 8. The Shannon diversity index ranged from 0.173 2 (‘YZ32’) to 1.749 7 (‘YZ41’), with a mean value of 0.868 4 (Table 4).
Based on the genotyping results obtained using 21 SSR markers, 24 P. odoratum germplasms were further analysed by clustering using the UPGMA method. As shown in Fig 5, the genetic similarity coefficients of 24 P. odoratum germplasms ranged from 0.43 to 0.98, with an average value of 0.705. At a genetic coefficient of 0.43, the 24 germplasms were divided into two major groups, in which the P. odoratum germplasms from the northeast region, ‘A5’ and ‘A6’, were clustered into one major group (Group Ⅰ), and the remaining 19 germplasms were clustered into another major group (Group Ⅱ). It was also found that the germplasms from the geographically neighbouring Nanyang in Henan Province, Shiyan in Hubei Province and Ankang in Shanxi Province were clustered into the same subgroup (Subgroup Ⅰ), whereas all the different germplasms, including the wild and cultivated germplasms from Hunan Province, were clustered into another subgroup (Subgroup Ⅱ) (Fig 5). As shown in Fig 6, Delta K reached a maximum value at K = 2, indicating that the 24 cultivars could be partitioned into two populations (Fig 6).
(A) The number of subpopulations (K) was identified based on maximum likelihoodand K values. The most likely value of k identified by STRUCTURE was observed at K = 2. (B) The proportion of each color reflects the probability that each of the 24 Polygonatum odoratum germplasms belongs the corresponding group based on 21 SSR markers (K = 2). Different colors represent different groups.
Screening of SSR markers for species identification in the Polygonatum
The Polygonatum contains a variety of medicinal plants such as P. kingianum Coll.et Hemsl., P. sibiricum Red., P. cyrtonema Hua, P. zanlanscianense Pamp. and P. odoratum. Because the leaves of both P. cyrtonema Hua and P. odoratum are alternate, the appearance and morphology of the seedlings are similar, and it is more difficult to differentiate them from each other. Therefore, to provide the potential tool for species identification in the Polygonatum, 41 pairs of primers were used to screen specific molecular markers on the DNA of P. kingianum Coll.et Hemsl., P. sibiricum Red., P. cyrtonema Hua, P. zanlanscianense Pamp. and P. odoratum, respectively. As shown in Fig 7, two SSR markers (‘YZ14’ and ‘YZ47’) were obtained, which could specifically and effectively differentiate the above five types of Chinese herbs in the Polygonatum. It was also found that there was a specific amplified fragment in the ‘YZ14’ (indicated by the arrow in Fig 7), which distinguishes P. odoratum from the other four species (Fig 7).
M:DNA marker DL2000; 1: Polygonatum odoratum (Mill.) Druce (A17); 2: Polygonatum odoratum (Mill.) Druce (A5); 3:Polygonatum zanlanscianense Pamp. (A25); 4:Polygonatum sibiricum Red. (A27); 5: Polygonatum sibiricum hua (A26); 6: Polygonatum kingianum Coll.et Hemsl (A28).
Discussion
As transcriptome sequencing technology continues to be developed, the cost of this technology has been lowered, making it possible to obtain the sequence information of species transcripts in a more comprehensive way; for example, in the development of EST-SSR molecular markers in a variety of medicinal plants [7,10, 17–19]. The detection of EST-SSRs depends on many factors including genomic structure, tools, and methods [20]. In this study, 11,021 EST-SSR loci were identified in the transcriptome sequence of P. odoratum rhizome tissues with a distribution frequency of 29.47% per unigene (Fig 3), which was lower than that of Amomum tsaoko (37.83%) [19] and Chinese yam (36.44%) [10], but higher than that of cannabis (14.16%) [7], ginger (21.25%) [17] and Orchidaceae (11.18%) [21]. In contrast to other plants, an extremely high proportion of single-nucleotide SSRs (44.4%) was obtained in this present study. Excluding single-nucleotide repeat types, dinucleotides accounted for the largest proportion of the total polynucleotides (55.90%), which was similar to the sequencing results of sesame [22] and sweet potato [23], but different from those of Chinese yam [10] and Orchidaceae [21].
As the genome of P. odoratum has not yet been sequenced and there is only one report on transcriptome sequencing [13], our understanding of the genetic basis of this species is still largely unknown. To the best of our knowledge, this study is the first large-scale development of molecular markers in P. odoratum. Our results show that the primer amplification efficiency of the primers selected randomly was 60.2% in P. odoratum, which was higher than that in Ligusticum chuanxiong [24], but lower than that in Lycium barbarum [25]. In addition, the average Na and PIC values of the test primers in this study were 4.4761 and 0.4327, respectively (Table 4), which were higher than those reported for Polygonatum cyrtonema Hua [26]. These results indicated that the EST-SSR markers screened in this study were highly polymorphic and could be further used for authenticity identification and genetic diversity analysis.
Genetic distance can directly reveal the genetic diversity of different germplasms and indirectly reflect the similarities in their genetic backgrounds. In previous studies, researchers have mainly focused on the genetic diversity of P. odoratum germplasms in some regions, such as Hunan Province [27], Anhui Province [28] and Dalian City, Liaoning Province [29]. In the present study, the germplasm resources were obtained from 19 counties in seven provinces in China. Thus, the results are more representative of the diversity of P. odoratu (Table 1). Through UPGMA clustering based on genetic distances, we classified the P. odoratum germplasms into two clusters, and those with similar geographical origins can be better grouped together (Fig 5). Similar to the findings in a previous study on P. odoratum [30], these results showed that the clustering analysis based on EST-SSRs showed a certain degree of regionality, and some germplasms also showed the phenomenon of ‘large heterogeneity’, which may be related to the introduction of germplasms from different regions. In addition, the wild and cultivated germplasms from Hunan Province were clustered into subgroup Ⅱ (Fig 5), indicating that these germplasm resources are closely related and that the cultivars may have been domesticated from wild resources. In the future, we will increase the collection of germplasm resources in order to more fully understand the genetic relationship of P. odoratum germplasms in China. As well, there is a need to systematically evaluate the genetic diversity of the germplasm resources by combining phenotypic traits and molecular markers, in order to provide a basis for the genetic improvement and utilization of the P. odoratum germplasms.
Owing to the transitional morphology and overlapping geographical distribution of the Polygonatum, as well as the similar morphology of the medicinal parts, there is confusion regarding the medicinal use of the same genus of Chinese medicinal herbs after processing [31]. In this study, two SSR markers were obtained that specifically distinguished five different Chinese medicinal materials in the Polygonatum: P. kingianum Coll.et Hemsl., P. sibiricum Red., P. cyrtonema Hua, P. zanlanscianense Pamp. and P. odoratum (Fig 7). These molecular markers can be used as an effective complement to the morphological, microscopic observation, and physicochemical methods to identify the Polygonatum, especially in terms of the quality control of dispensing granules. Because of the limited number of plant materials used for molecular identification in this study, in particular that there was only one germplasm each of P. kingianum Coll.et Hemsl., P. sibiricum Red., P. cyrtonema Hua, and P. zanlanscianense Pamp., future research will focus on the validation of the newly developed ESR-SSR markers to meet the increasing identification needs of germplasm resource collection. The number of test germplasms of the five different species of Polygonatum will be increased in order to verify the universality of the above specific primers in the identification of traditional Chinese medicine. Interestingly, primer ‘YZ14’ was designed from the transcript sequence of the UDP-glucuronic acid transferase gene, which encodes a glycosyltransferase that is involved in polysaccharide biosynthesis [32]. Based on the results of this study, we speculate that this gene may be a marker gene to distinguish the five different Chinese medicinal herbs in the Polygonatum, which also needs to be further investigated in the future.
Conclusion
In this study, 37,387 unigenes were obtained by sequencing the rhizome transcriptome of P. odoratum, from which 11,021 EST-SSR loci mainly consisting of single-nucleotide repeats, dinucleotides and trinucleotides were identified, and their characteristics were further analysed. In total, 9,987 primer pairs were successfully designed based on these loci, and 24 germplasm resources were clustered into two groups with a certain geographical pattern using 21 polymorphic SSR markers. Simultaneously, two pairs of molecular markers were obtained that could specifically identify the five types of Chinese herbal medicinal materials in Polygonatum. The results of this study not only provide a valuable reference for the genetic analysis of the P. odoratum germplasm resources, a useful tool to distinguish the confusing Chinese herbal medicines in the Polygonatum, but also enrich the number of molecular markers in P. odoratum, which can serve as a resource for molecular-assisted breeding and QTL mapping.
Supporting information
S1 Fig. Phenotypes of the growth and rhizome of Polygonatum odoratum.
https://doi.org/10.1371/journal.pone.0308316.s001
(TIF)
S2 Fig. Amplification validation of EST-SSR primers.
Different lanes represent different PCR products using different EST-SSR primers.
https://doi.org/10.1371/journal.pone.0308316.s002
(TIF)
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