Introduction

Parasitic weeds pose a serious threat to agriculture, causing devastating damage to agricultural crops throughout the world. The Orobanchaceae family, known as broomrape, is a holoparasitic plant with no chlorophyll, and nutrients, minerals, and water are obtained from the host by haustoria [1]. Broomrape can severely retard the growth and productivity of its host plants and cause crop losses that reach billions of dollars annually [2, 3]. At present, some methods have been applied in the field to control broomrape, such as cultural practices, suicidal germination, activation of systemic acquired resistance, biocontrol, and herbicides [4, 5]. However, the reproductive capacity of broomrape is very strong; each plant can produce 100 thousand seeds [4], of which O. aegyptiaca has a stronger reproductive capacity, producing 500 thousand to 3 million seeds per plant and possibly remaining dormant for more than 15 years [6, 7], which makes broomrape control extremely difficult.

The most efficient and economical method for controlling broomrape resistance is crop breeding [8, 9]. At present, no broad-spectrum resistant varieties against broomrape have been found, and existing resistant hosts mainly show resistance to specific races; for example, the sunflower P-96 shows dominant resistance to broomrape race E and recessive resistance to the very new race F [10], and the sunflower HaOr7 mainly controls the Spanish broomrape race F populations [11]. It is important to clarify the species and genetic diversity of broomrape populations to cultivate varieties that are resistant to broomrape. However, the species and population diversity of broomrape in Xinjiang are currently unclear. It has been reported that Orobanchaceae has 19 species in Xinjiang, of which 15 species are O. L [12]. Furthermore, Orobanchaceae is a morphologically diverse family with a wide range of hosts [1, 4], and many morphological characteristics useful for species identification have been lost with the evolution of the species [13, 14].

The study of natural broomrape populations can help us to understand gene pool dynamics, population size structure, geographical distribution, environmental adaptation, and origin. Morphological characteristics are limited to application diversity studies because of their variation with environmental changes, estimation errors, and reduced number of characteristic features available. Previously, several approaches have been used to identify the species and populations. Among these markers, plastid sequences, internal transcribed spacer (ITS) sequences of nuclear ribosomal DNA, RAPD, and ISSR markers have been used to identify species and analyze genetic diversity [15, 16]. Clarifying their species and distribution is conducive to cultivating varieties resistant to broomrape.

To clarify the species and genetic diversity of broomrape in Xinjiang, 93 samples from different geographic regions of Xinjiang were collected to identify the species based on nuclear ITS and plastid rps2 regions. The genetic diversity was analyzed based on inter-simple sequence repeat (ISSR) markers. Our results provide a theoretical basis for the prevention, control, and breeding of broomrape-resistant varieties.

Materials and methods

Samples collected

The plants and seeds of 93 broomrape plants were collected from different regions of Xinjiang during the crop growth stage (Table 1). The hosts mainly includes processed tomato, melon, seed watermelon and sunflower, stored in a refrigerator at - 70 °C before use.

Table 1 List of broomrape plants selected for this study

DNA extraction and PCR amplification

Total DNA was extracted from all sample stems following the modified cetyl-trimethylammonium bromide (CTAB) method described by Doyle and Doyle with minor modifications [17]. The purity of the DNA was determined by 1.0% agarose gel electrophoresis and absorption at 260 nm, and the ratios A260/А280 and A260/А230 were used to determine the presence of contaminants such as proteins, polyphenolic compounds, sugars, and lipids. The samples were diluted to 50 ng/µL for PCR amplification. The ITS and rps2 sequences of the samples were amplified by using the primer pairs listed in Table S1. The PCR products were purified using a universal DNA purification kit (TIANGEN, Beijing) according to the manufacturer’s instructions, cloned and inserted into pMD18-T (TaKaRa Biotech, Dalian), and sequenced at BGI Genomics Co., Ltd.

Phylogenetic analysis

All sequences obtained from the ITS and rps2 regions were assembled and analyzed using Lasergene DNASTAR (version 6.0) and DNAMAN (version 6.0). Multiple-sequence alignments were performed using the program Clustal W. A phylogenetic tree was constructed based on ITS and rps2 sequences using the neighbor-joining method in MEGA6.0, in which samples with the same sequence from the same host in the same region were excluded. The robustness of the neighbor-joining tree was estimated using bootstrap analysis with 1000 replicates.

ISSR assay

The genetic diversity of the collected samples was analyzed using ISSR molecular markers. A total of 100 ISSR primers from the University of British Columbia were synthetized at the BGI of Beijing and used for the study, of which 11 primers showed a high percentage of polymorphism (Table 2). The PCR amplification was carried out using a DNA engine dyad® Peltierp thermal cycler (Bio-RAD) using a 20 µL reaction mixture containing 1.0 µL DNA (50 ng), 2.2 µL 10 × PCR buffer (Mg2+ Plus), 1.0 µL dNTPs (2.5 mM), 0.4 µL primers (10 μm/L), 0.2 µL Taq DNA polymerase (5 U/µL, TaKaRa Biotech, Dalian), and 15.2 µL distilled water. The PCR conditions were as follows: 94 °C for 4 min, followed by 35 cycles of 94 °C for 1 min, 50.3–55 °C for 30 s, 72 °C for 90 s, and a final extension of 10 min at 72 °C.

Table 2 List of ISSR primers used and polymorphisms of broomrape

The PCR products were mixed with 5 µL Roti-Load-DNA loading buffer (TaKaRa Biotech, Dalian), resolved on a 1.5% agarose gel in 0.5 × Tris-borate-EDTA (TBE) buffer, and electrophoresis was carried out with a constant voltage of 120 V for 90 min, visualized under UV light, and documented using a gel documentation and image analysis system (Universal Hood, Bio-Rad). The experiment was repeated three times, and the bands appeared consistently in all three gels, which were scored and used for the analysis.

Data analysis

Scorable and consistently reproducible DNA fragments amplified by repeating PCR amplification with each of the selected primers were transformed into a binary scoring method of the profiles as presence (= 1) and absence (= 0), and a binary data matrix was generated for all samples. The genetic variability in the population was analyzed based on the banding pattern using parameters such as genetic diversity (Ht), genetic diversity within population of the groups (Hs), the coefficient of genetic differentiation (Gst), Shannon’s information index (I), and genetic distance analysis using POPGENE version 1.32 [16]. The UPGMA tree was generated using the Numerical Taxonomy Multivariate Analysis System (NTSYS-pc) version 2.10 [17], and bootstrap analysis was conducted using 1,000 replicates. The percentage polymorphism (P) [18], polymorphism information content (PIC) [18], marker index (MI) [19], and gene flow index (Nm) were calculated as follows: P = (K/N) × 100%, where N is the total number of amplified bands and K is the number of polymorphic bands. PIC = 1 − \(\sum {P}_{i}^{2}\), in which Pi is the frequency of the i th allele. MI = K × P × PIC.

Results

ITS and rps2 amplification

To identify the collected broomrape samples, the ITS and rps2 were amplified. The sequences of ITS and rps2 were approximately 694 and 494 bp, respectively (Table S2). The ratios of variable sites to all sites for ITS and rps2 were 33.71% and 4.86%, respectively, and the ratios of parsimony-informative characters were 20.61% and 4.66%, respectively. This indicates that the ITS region was more variable at the parsimony-informative site than the rps2 region.

Phylogeny analysis based on ITS and rps2 sequences

The results showed that all collected samples were separated into two major clades based on their ITS regions, in which the first major clade consisted of 49 samples, of which two subclades were generated and had a close relationship with O. cf. aegyptiaca, in which the sample P27 formed a single subclade (Fig. 1A). The second major clade consisted of 16 samples with a high homology to O. cernua var. cumana, of which sample P76 had a closer relationship with O. purpurea var. bohemica (Fig. 1A). On the other hand, all the samples generated two clades based on the rps2 sequences, in which the 13 samples formed one clade with high homology with O. crenata, and the other samples formed another clade with high homology with O. cernua (Fig. 1B).

Fig. 1
figure 1

Phylogenetic trees were constructed based on the ITS (A) and rps2 (B) regions of broomrapes in Xinjiang by the distance-based neighbor-joining method using MEGA6. Bootstrap values were calculated from 1000 replicates of the alignment

Genetic variability revealed through ISSR markers

The 11 ISSR primers were obtained by screening and generated a total of 154 bands among 93 samples, of which 150 bands were polymorphic. The number of bands generated ranged from 9 (UBC 810) to 19 (UBC 812), the PIC was from 0.15 (primer 808) to 0.91 (primer 807) with an average PIC of 0.58, and the marker index (MI) fluctuated from 1.66 for primer 808 to 12.04 for primer 815 with an average MI of 7.38. (Table 2). This indicates that broomrape has considerable polymorphism in Xinjiang Province.

To analyze the genetic diversity of the samples, 93 samples were divided into 11 geographical populations according to the distance between sampling sites and morphological differences. Population diversity analysis revealed that there was low genetic differentiation within the population because the average Nei’s gene diversity and Shannon’s information index (I) were 0.1008 and 0.1546, respectively, and the percentage of polymorphic loci was 33.18%, all of which were low (Table 3). In addition, the coefficient of genetic differentiation (GST) was 0.6281, showing that the genetic diversity of the samples was 37.19% within populations and 62.81% among the populations (Table 4), indicating that the main genetic differentiation occurred among the populations. There was less gene exchange between populations, with a gene flow index (Nm) of 0.2961 (< 1) (Table 4).

Table 3 Diversity parameters of 11 natural populations
Table 4 Summary of genetic variation statistics for all loci

Cluster analysis

Similar to the phylogenetic tree constructed based on ITS sequences, all samples were clearly divided into two groups when the genetic similarity (GS) was 0.706 by UPGMA analysis based on ISSR molecular markers (Fig. 2). The samples that came from the same and near geographical origin were preferentially clustered together, except for P1 and P2, in which the first cluster included all branched columns and the second cluster included all unbranched columns. The branch group was divided into two subclusters when the GS approached 0.765. When GS approached 0.80, the upper branch of the branch group was divided into subclusters I and II, and the unbranched group was divided into four subclusters (IV, V, VI and VII). Most of the samples in subcluster I came from southern Xinjiang, and subcluster II included two samples from northern Xinjiang and eastern Xinjiang. The samples of subcluster IV mainly came from the eighth division, fifth division and Tuanjie farms. The samples of subclusters V, VI, and VII consisted of the tenth division, the twelfth division, and Qitai and Fuhai counties, respectively.

Fig. 2
figure 2

Dendrogram obtained by the UPGMA method based on ISSR markers

Discussion

As a holoparasitic weed, broomrape has seriously threatened the production of economically important crops, such as melons, watermelons, processed tomatoes, and sunflower in Xinjiang in recent years. In the present study, it was found that in addition to conventional host plants, broomrape can also be parasitic on other unconventional hosts, such as cowpea, pumpkin, and pepper. In recent years, it has been found that broomrape can also be parasitic on some weeds, such as Karelinia caspia [22], which may be caused by the genetic variation in broomrape because the genetic diversity of species plays an important role in its adaptation to environmental changes and species evolution [23, 24]. The unique climatic conditions and greater number of hosts in Xinjiang Province may be important factors causing the genetic variation in broomrape.

Based on the phylogenetic tree constructed using ITS sequences, sample P76 had a close relationship with O. purpurea var. bohemica than O. cf. aegyptiaca, although the morphological characteristics of sample P76 were extremely similar to those of samples from the same field. However, O. purpurea has only been reported in a few areas of Central Europe [25]. In addition, the results of this study showed that the broomrape is not monophyletic based on the nuclear ITS region of Xinjiang Province. This is in accordance with the results of other studies based on ITS sequences and plastid marker analysis [26]. There were some small clades in the first major clade, which might be related to the hosts and their living circumstances, and had a wider host range and more changeable living circumstances than the second major clade because the host genotype might influence the evolution of parasitic plants [27,28,29,30].

Based on the phylogenetic tree constructed using rps2 sequences, all the samples generated one major clade. The 13 samples formed one clade with high homology to O. crenata, and the other samples formed another major clade with high homology to O. cernua. This might be related to crop rotation and the exchange of seeds in different areas because the rps2 gene can be transferred from members of O. s. str. to Phelipanche spp. by horizontal gene transfer via attack on the same host [31]. Although there were obvious differences in the phylogenetic relationships based on the ITS and rps2 regions, this implies that a close relationship occurred between O. cf. aegyptiaca and O. cernua to some degree. Compared with the phylogenetic tree constructed with rps2 sequences, the morphology of the samples agreed with the phylogenetic relationship based on the ITS region. This indicates that the evolution speed of ITS was faster than that of rps2.

O. var. cumana showed strong host specificity, parasitizing only sunflower and processed tomato, while O. cf. aegyptiaca parasitized a variety of crops, including processed tomatoes, melons, and melon seed, in addition to being unable to parasitize sunflower in Xinjiang Province. Interestingly, the rps2 genes of the two types of O. spp. samples showed a certain degree of homology, such as samples P2, P16, and P11 of O. cernua var. cumana and samples P82, P9, and P52 of O cf. aegyptiaca parasitizing the same host of processing tomatoes, which may indicate that processing tomatoes play a certain role in mediating gene exchange.

Broomrape had a strong ability to adapt to different climatic conditions in Xinjiang Province, while the changing climate and host diversity perhaps promoted the evolution of broomrape. The climate change stability of southern Xinjiang was stronger than that of northern Xinjiang, which may have resulted in the genetic stability of southern samples being stronger than that of northern samples. The ITS and rps2 values of the samples from the same region with different hosts were different, such as the samples from the 62nd regimen, 163rd regimen, and Wuyi farms. The ITS and rps2 genes of the samples from different regions with the same host had a close relationship, for example, samples P3, P25, P28, and P42, which may be related to the frequent dispatching of crop seeds carrying O. spp. seeds within different regions. This result indicated that rps2 of broomrape is more conserved than ITS.

The PIC plays an important role in analyzing the genetic variation [32, 33]. The PIC mean values of all primers in this study were greater than 0.25, indicating that the primers tested in this study were effective to demonstrate genetic diversity according to the research results of El-Esawi et al. [32] and Botstein et al. [34]. The primer 807 recorded the highest value of 0.91 in this study, showing high polymorphism, which is consistent with the results of genetic diversity in wheat [32]. Additionally, the values of MI were from 1.66 to 12.04 with an average of 7.38, which are in accordance with the outcomes of Akhtar et al. [35] and Ghehsareh et al. [36]. Therefore, the primers tested in this study were effective and informative. Based on the ISSR primers, a total of 150 polymorphic bands were generated, and the broomrape had higher polymorphism with the values ranging from 88.89 to 100% and a mean of 97.24%, showing that the genetic diversity of broomrape was abundant, which is similar to the genetic diversity of O. crenata populations in Ethiopia [37].

Similar to the phylogenetic tree constructed based on ITS sequences, all samples were clearly divided into two groups by UPGMA analysis based on ISSR molecular markers, which were correlated with the morphological characteristics. The first cluster had a wide host, and not all samples were single, with stem branching. All samples in the second cluster were single, and their host ranges were narrow. The same and nearby geographic origins were mostly gathered together, which is similar to the results of Stoyanov et al. [38]. Interestingly, sample P22 came from the 163rd regimen, and the host was chili, which was shorter than other samples of the same origin in terms of morphological characteristics; however, it clustered together with samples of the same origin. The chili may not be suitable as the host of broomrape, but the pressure of survival and breeding could oblige it to change its host range.

Conclusion

To the best of our knowledge, this is the first study to systematically survey the molecular phylogenetic and genetic diversity of broomrape, which infests economically important crops and causes serious yield losses in Xinjiang [37, 38]. This study indicated that broomrape exhibits rich genetic diversity and that high genetic variation exists among the populations in Xinjiang. Therefore, in addition to control measures in areas where broomrape occurs, it is also important to strengthen quarantine management and prevent genetic exchanges between different broomrape populations. The results of the present study provide a theoretical basis for the identification and classification of broomrape and cultivation of resistant host varieties.