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Article

Capability of ISSR, SCoT and CEAP Markers for Genetic Diversity Assessment of Lavender (Lavandula angustifolia Mill.) Genotypes

by
Mariya Todorova Zhelyazkova
Department of Fundamental Sciences in Animal Husbandry, Faculty of Agriculture, Trakia University, 6000 Stara Zagora, Bulgaria
Int. J. Plant Biol. 2026, 17(1), 8; https://doi.org/10.3390/ijpb17010008
Submission received: 2 December 2025 / Revised: 14 January 2026 / Accepted: 17 January 2026 / Published: 21 January 2026
(This article belongs to the Section Plant Biochemistry and Genetics)
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Abstract

Lavender has been cultivated in Bulgaria for over a century. The high essential oil content and quality of Bulgarian lavender varieties have established the country as a leading global producer. Studies into the crop’s genetic diversity are essential for selecting varieties best suited to specific environmental conditions, maximizing resilience and yield. Therefore, identifying appropriate genetic markers to monitor lavender diversity is a key prerequisite for developing effective crop selection strategies, particularly in response to the challenges posed by global climate change. In this study, we evaluate the versatility of markers for assessing genetic diversity of lavender genotypes. A total of 96, 97 and 96 bands were recorded using the 13 Start Codon Targeted Polymorphism (SCoT), 13 Inter-Simple Sequence Repeat (ISSR) and 14 Cis-Element Aligned Polymorphism (CEAP) primers, respectively. All amplification programs used were successful in the studied genotypes. Additionally, four informative primers of each marker system were applied for assessment of the within-field genetic variability in two lavender plantations from Bulgaria. This is the first report on the combined use and comparison of CEAP, SCoT and ISSR primers in lavender genotypes in Bulgaria.

1. Introduction

The cultivation and processing of medicinal and aromatic plants is a major part of agriculture in Bulgaria [1]. In recent years, interest in these crops has increased due to their wide application in perfumery, cosmetics, pharmacology and the food industry. The most important and commercially grown species of the genus Lavender are L. angustifolia Mill., L. latifolia Medik., L. stoechas L., and L. intermedia Emeric ex Loisel [2]. Among them L. angustifolia Mill. is notable for its economic importance in Bulgaria. It is grown in different regions of Bulgaria, but a shift can be observed from its cultivation in the traditional regions of Southeastern Bulgaria to an increasing cultivation in the Northeastern part of the country [3]. The species studies were mainly focused on morphology, cultivation techniques and essential oil [3,4,5,6]. In recent years, an increasing number of studies have been accumulated on the genotypes of L. angustifolia with dominant and codominant markers [7,8,9]. The morphological markers applied (e.g., plant height, bush diameter, and inflorescence traits) are influenced by environmental conditions and do not distinguish varieties/hybrids, while the market value and bioactivity of lavender essential oil largely depend on the used varieties [4,5,10]. This necessitates the use of DNA markers that could provide varietal identification, the ability to evaluate the lavender gene pool and its proper use and conservation. Currently, for L. angustifolia Mill. there are a reported set of Expressed Sequence Tag—Simple Sequence Repeat (EST-SSR) markers, and more recently a wider set of Simple Sequence Repeat (SSR) markers, through which the first genetic linkage map for the species was constructed [11,12]. On a global scale, L. angustifolia Mill. has high genetic diversity at the morphological, molecular and biochemical levels [13]. Genetic diversity in specimens of L. angustifolia as well as genetic stability during long-term in vitro propagation was also assessed by Sequence-Related Amplified Polymorphism (SRAP), Single Nucleotide Polymorphism (SNP), and Random Amplified Polymorphic DNA (RAPD) and Inter-Simple Sequence Repeat (ISSR) [11,14,15]. To distinguish varieties of cultivated lavender species, among which L. angustifolia, DNA barcode markers such as matK, rbcL, trnH-psbA and ITS were also applied. However, the matK region was not successfully amplified, and s rbcL and trnH-psbA cannot distinguish hybrids. ITS managed to distinguish three species with a few exceptions, and only the combined application of rbcL, trnH-psbA and ITS successfully differentiates cultivated L. latifolia from L. angustifolia and L. x intermedia [16]. In recent years, the mitochondrial genome of L. angustifolia and the chloroplast genome of the species [17,18,19] have been revealed. The rapid evolution of molecular genetics and sequencing technologies has expanded the set of available DNA markers. Current research increasingly favors the simultaneous application of diverse marker systems, as this integrated approach provides a more comprehensive and robust characterization of populations’ genetic structure and genetic diversity. By capturing different regions of the genome, such combinations offer higher resolution and reliability than single-marker analysis. Consequently, the use of multi-locus dominant markers has become a current strategy for assessing the genetic status of various economically important crops [20,21,22,23,24,25]. Although Bulgaria is one of the leading producers of lavender, its genetic material has so far only been evaluated with SRAP and SSR markers [12,14].
ISSR is a simple and fast method, using microsatellite repetitive sequences such as primers; with their proven high Polymorphism and effectiveness in plant genomes, they are still relevant and widely used [26,27,28]. Start Codon Target Polymorphism (SCoT) is a gene-based marker, which uses short, conserved region flanking the ATG start codon in plant genes [29]. They can be used effectively in Marker-Assisted Selection (MAS), they are highly polymorphic and in a variety of plant species have an advantage over ISSR and RAPD [30,31,32,33]. Meanwhile CEAP is a new technique based on eight cis-elements AAAG, ACGTG, CCGA, ACT CAT, GGTCA, TATCC, TGAC и GATAA, which are related to the growth and development of plants, the signal transduction, and the stress response [34]. The authors tested them on different plant species, and proved their effectiveness, polymorphism and better results compared to ISSR, CBDP, and iPBS markers [34,35,36].
The aim of the study was to test the effectiveness of three more CEAP, ISSR and SCoT marker systems on L. angustifolia accessions from Bulgaria and to provide new opportunities for evaluating the genetic resources of the species.

2. Materials and Methods

2.1. Plant Material

A total of 40 lavender accessions were collected in July 2023 from two private plantations in Northeastern Bulgaria—twenty from the Shumen region (plantation 1, Figure 1A, 43°17′48.156″ N, 27°05′01.572″ E) and twenty from the Shabla region (plantation 2, Figure 1B, 43°33′04.226″ N, 28°32′24.232″ E). Samples from each site (Figure 1) were obtained from randomly selected plants. Plants with visually distinct morphological characteristics were included to ensure a representative sample of the field’s genetic diversity.
DNA was isolated from frozen leaf, using Quick-DNATM Plant/Seed Miniprep Kit (Zymo Research, Irvine, CA, USA) and Disruptor Genie® (Scientific Industries, Inc., Bohemia, NY, USA). The concentration and quality of DNA were evaluated using a NanoVue Plus spectrophotometer (GE Healthcare UK Limited, Amersham Place, Little Chalfont, Buckinghamshire, UK) and 1% agarose gel electrophoresis (MS Choice ST and Transilluminator Bio-Imaging System). DNA working solution (50 ng/μL) was prepared and stored at −20 °C for later use. All DNA samples exhibited high purity, with A260/A280 ratios ranging from 1.8 to 2.0.

2.2. PCR Amplification

Thirteen Start Codon Targeted (SCoT) primers, thirteen Inter-Simple Sequence Repeat (ISSR) primers, and fourteen cis-element amplified Polymorphism (CEAP) primers were tested for amplification in three lavender genotypes. The amplification of each tested primer was performed several times to ensure technical consistency and reliability of the data. All PCR products were performed in a total volume of 20 µL, containing 50 ng genomic DNA (1 µL), 10 µL Red Taq DNA Polymerase 2 × Master Mix, 10 pmol Primer (1 µL, Invitrogen, Darmstadt, Germany), and 8 µL nuclease-free ddH2O. Amplification was performed on a Doppio Gradient 2 × 48 well thermal cycler (VWR®, Darmstadt, Germany), following a different program for each type of primer. Gels were stained with GelRed® (Biotium, Fremont, CA, USA) and comprised 7.5 µL of product mixed with 1.5 µL loading buffer and NZYDNA Ladder VI (50–1500 bp) or DNA Ladder 100 pb (100–1500 bp). PCR-amplified products were detected through horizontal electrophoresis (1.8–2% agarose gel) and visualized by gel imager (Bio-Imaging System, Modi’in-Maccabim-Re’ut, Israel). All clear and reproducible bands were used for final scoring, while all ambiguous bands were re-amplified or excluded.
SCoT-PCR
The SCoT-PCR amplification program included pre-denaturation at 94 °C for 5 min, followed by 35 cycles: denaturation at 94 °C for 45 s, annealing at 54–61 °C for 45 s, extension at 72 °C for 1 min and 30 s, and final extension at 72 °C for 10 min.
ISSR-PCR
The ISSR-PCR amplification program included pre-denaturation at 94 °C for 4 min, followed by 35 cycles: denaturation at 94 °C for 45 s, annealing at 50 °C for 45 s, extension at 72 °C for 45 s, and final extension at 78 °C for 8 min.
CEAP-PCR
The CEAP-PCR amplification program included pre-denaturation at 95 °C for 2 min, followed by 5 cycles: denaturation at 95 °C for 40 s, annealing at 35–39 °C for 1 min, extension at 72 °C for 3 min, followed by more 35 cycles: denaturation at 95 °C for 40 s, annealing at 50 °C for 50 s, extension at 72 °C for 2 min, and final extension at 72 °C for 8 min.

2.3. Genetic Diversity

The primers from each marker system that were mostly polymorphic and included clear bands were used to estimate genetic diversity at twenty accessions from Plantation 1 and 2 (Table 1).

2.4. Data Analysis

The presence or absence of the amplified band was recorded in a binary data matrix as ‘1’ or ‘0’, and −1 for missing data. Polymorphic information content (PIC) [37], effective multiplex ratio (EMR) [38], marker index (MI) [39] and resolving power (RP) [40] were calculated. GenAlEx V 6.51 [41] was utilized for principal coordinate analysis (PCoA), and PAST V. 4.17 [42] for determined genetic similarity index and constructed dendrograms. The first two principal coordinate axes of Genalex were used for visualization in GraphPad Prism 10.6.1. Within and among genetic field variability were assessed by Analysis of Molecular Variance (AMOVA), different (Na) and effective (Ne) number alleles, Shannon’s Information Index (I), and Nei’s gene diversity (H) in GenAlEx (V 6.51).

3. Results

PCR-amplification at primers tested
In three lavender genotypes, a total of 289 bands were registered as follows: 96 for CEAP markers, 96 for SCoT markers and 97 for ISSR markers (Table 2, Figure 2). The number of amplified bands for CEAP markers varied from five to eleven, with primers ACGTG26 (11), AAAG14 (11) and AAAG2 (10) scoring the most bands (Figure 2). With SCoT markers, one of the primers (SCoT 5) showed no amplification, the SCoT 21 primer had only one band, but for the others the amplification was good and ranged from one to 15 bands. The most bands in SCoT markers are marked with primers SCoT 14 (15 bands), SCoT 2 (12 bands), SCoT 11 (12 bands) and SCoT 15 (12 bands). In ISSR the scored bands were from four to eleven, with four of the primers amplifying nine bands each (CAA6, CA6K GACA4, GA8YG), and three—eight bands each (AC8YT, CA6R, CA8G), with the most bands at CA6RM. The SCoT markers, compared to the other systems, yielded the clearest and most distinct amplification profiles in the three lavender samples.
Genetic diversity in lavender genotypes
Based on preliminary screening results, we selected the four informative primers to assess the genetic variability of accessions. A total of 61 bands were identified, 13 of which were monomorphic, and 48 polymorphic (Figure 3, Table 3).
The highest Polymorphic information content (PIC) was obtained for primer SCoT 24, demonstrating the greatest effectiveness across all evaluated parameters. SCoT 14 and ACTCAT1 showed similar performance with respect to the number of monomorphic bands (MB = 6) and PIC (0.25). The mean values across all primers for the forty lavender accessions were 75.7% for %PB, 18.6 for EMR, 0.42 for PIC, 15.3 for Rp, and 7.8 for MI.
Within-field genetic diversity
Genetic diversity was observed in both lavender plantations (Table 4), as well as its variation across primers from different marker systems. For the 20 lavender plants from the Shumen region (Plantation 1), genetic diversity indices—represented by the effective number of alleles (Ne), Shannon’s Information Index (I), and Nei’s gene diversity (H)—ranged from 1.21 to 1.60, 0.16 to 0.50, and 0.11 to 0.34, respectively, with the highest values recorded for ISSR markers, particularly primer CA6R. Mean values across all loci for all genotypes were Ne = 1.41, I = 0.34, and H = 0.23. In the Shabla region (Plantation 2), the highest values were observed for SCoT markers, especially SCoT24, with ranges across all primers as follows: Ne = 1.26–1.52, I = 0.23–0.41, and H = 0.15–0.28. Overall, a similar level of genetic diversity was observed among the 20 genotypes from Plantation 2 across all loci and marker systems (Ne = 1.38, I = 0.32, H = 0.22). The seven specific loci for both plantations were registered.
The genetic relationships visualized on the first two axes of the PCoA plots confirm the presence of within-field genetic diversity; these axes account for 17.37% and 23.68% (totaling 41.05%) of the variation in Plantation 1 (Figure 4A), and 19.54% and 26.38% (totaling 45.92%) in Plantation 2 (Figure 4B). In both plantations, only a few plants exhibited a high level of genetic similarity—L9, L19 and L17; L6 and L2; L28 and L40; L35 and L36. The coefficient of Jaccard genetic similarity among accessions in fields varied from 0.65 to 0.92 in Plantation 1 and a wider range in Plantation 2 (0.58 to 0.93).
Among-field genetic diversity
The Nei genetic distance between the two plantations was 0.186, indicating a considerable similarity between them. Genetic diversity indices across all loci for the forty genotypes were comparable to the within-field diversity indices of each plantation, with values of Ne = 1.40, I = 0.33, and H = 0.23 (Table 5).
This is further supported by the AMOVA analysis, which showed a coefficient of genetic differentiation ΦPT (PhiPT) among fields of 0.419, indicating that 42% of the total genetic variation was attributable to differences between fields and 58% to variation within fields (p = 0.001) (Table 6).
In the hierarchical clustering analysis, based on locus-specific genetic distances and Ward’s linkage method, the genotypes from the two plantations are clearly separated, confirming genetic diversity within the L. angustifolia germplasm (Figure 5). Genotypes from the Shumen region (Plantation 1; L1–L20) are resolved into three clusters, whereas those from the Shabla region (Plantation 2; L21–L40) form two clusters. The clustering patterns across primers indicate that all marker systems detect both monomorphic and polymorphic regions, complementing one another in resolving genetic relationships. The shade plot in Figure 5 illustrates the Polymorphism detected by each primer across the forty lavender genotypes. All primers contain at least one highly polymorphic locus, and their combined application enhances the accuracy of genetic diversity assessment and supports marker-assisted selection.

4. Discussion

This is the first report on the use of a combination of dominant marker systems such as CEAP, ISSR and SCoT markers in germplasm in lavender. A total of forty primers—13 SCoT, 13 ISSR, and 14 CEAP were tested. Most of them amplified clear loci that can be informative. The highest number of ambiguous loci were observed with the CEAP markers, which may be entirely attributable to the amplification conditions. Under the specified experimental conditions, SCoT markers stand out with the clearest profile of many loci and high efficiency for distinguishing lavender genotypes, Figure 2 and Figure 3 and Table 1 and Table 2. A similar profile can be related to chemotypes, as in the case of Myrtus communis L. [43]. The authors identify an aconcordance in the Cluster Analysis between the composition of essential oils and the genetic profiles derived from SCoT markers. The results clearly demonstrate a strong correlation between genetic diversity, essential oil profiles, and environmental factors. Given the insufficient information available on the genetic characteristics of local lavender varieties, these findings will be helpful for future studies and crop improvement.
In a study of Dactylis glomerata using a combination of three marker techniques—AFLP, ISSR and RAPD, the authors concluded that the identified 288 loci provided the necessary broad genome coverage. This coverage is of particular importance when analyzing variability in closely related genotypes. Such comprehensive data are essential for improving varieties and establishing germplasm collections [44]. The four primers tested by us demonstrate grouping both in the polymorphic fragments in lavender, and the monomorphic ones, in different proportion. This shows the necessity of studying more loci, more primers and comparing different genome segments, which can be easily performed by combining techniques for dominant markers [43,44,45,46,47].
The reported genetic diversity in local lavender accessions in the present study confirms the results of other authors who discovered such genetic diversity in Bulgarian cultivars through analysis with the use of SRAP markers [14]. The authors used a total of 51 primer pairs, with the average percentage of polymorphic fragments for the studied genotypes being 74.3%, and the Polymorphic information content (PIC) ranging from 0.22 to 0.39, demonstrating a high potential for effective use in lavender plants. In the present study, the tested four markers from two plantations with 20 genotypes each revealed an average percentage of polymorphic loci among genotypes of 63.93% for Plantation 1 and 59.02% for Plantation 2 (Table 3), and the variation in PIC ranged from 0.25 to 0.69, also indicating a high potential for assessment of the lavender germplasm. Also, these four markers can be successfully applied when assessing and comparing the genetic structure of plant material on production fields (Table 4, Figure 4 and Figure 5). Zagorcheva et al. [14] reported genetic similarity based on Jacard coefficient 0.30, which corresponds to the similarity coefficient obtained by us, Jacard similarity 0.27 for Plantation 1, and 0.35 for Plantation 2, with a value of 0.42 for the forty genotypes.
In the scientific literature, the effective multiplex ratio (EMR) and resolving power (RP) indices are used as key indicators of marker efficiency within a group of individuals. In this study, the values obtained for EMR (19.8 and 21.8) and RP (18.9 and 19.3) demonstrate the superiority of SCoT markers over the ISSR and CEAP systems. Given the higher resolution achieved across multiple loci, we recommend the extensive use of SCoT markers for the genetic evaluation of lavender plant material. The tested ISSR markers can also be effectively combined with SCoT markers, as they demonstrated clear and highly polymorphic profiles in our study (Table 2). In the study of Salvia—another valuable species for cosmetics, perfumery and medicine, the authors made similar recommendations, based on the data from ISSR and SCoT markers. They recommend SCoT as more effective, based on higher RP values, and more accurate subclustering of individuals according to their species and sections. But they emphasize that the correlation between ISSR and SCoT matrices derived by the Mantel test (r = 0.83) shows a similar pattern of polymorphism distribution and a great correspondence between the results obtained by the two techniques [48].
Genetic diversity and phylogenetic relationships between 28 varieties of lavender (L. angustifolia Mill.), from the Ilij region, (Xinjiang) have been studied through ISSR markers [49]. According to the authors their results show a low level of genetic diversity (Ne = 1.448, H = 0.262, I = 0.384), which would make it difficult to create new varieties in this region. But they prove the ability of the ISSR technique in the lavender genotype, with an estimated Polymorphism rate of 75.00%, for eight ISSR markers, identifying 60 polymorphic loci. The present study revealed similar indices for genetic diversity with only 16 ISSR polymorphic loci identified in 40 lavender genotypes from two production fields (Ne = 1.50, H = 0.29, and I = 0.43), and a total of 48 polymorphic loci from different marker systems (Ne = 1.40, H = 0.23, and I = 0.33). Interesting is also the result of Dan-li et al. for the genetic similarity coefficient between the 28 varieties, which is 0.30 and coincides with the one reported by Zagorcheva et al. in the study of 10 Bulgarian and five foreign varieties of lavender [14,49].
While the current data are limited regarding the overall genetic diversity of the examined lavender samples, they demonstrate the effectiveness of the applied techniques and provide clear directions for future research aimed at a broader assessment of genetic resources. Although the four markers from three different systems offered an initial estimate of the genetic structure and relationships among the 40 lavender plants in the two production fields, a more comprehensive evaluation would require additional markers and a larger number of loci. Despite the limitation of the small number of loci reported here, the analyses performed (PCoA, AMOVA, and hierarchical clustering) clearly reflect a lack of genotypic uniformity within these fields. The genetic material between the fields is well-differentiated, as indicated by a ΦPT (PhiPT) of 0.419; and the within-field variability is also considerably high (58%). The absence of distinct clustering in the PCoA plot suggests a mixture of cultivars within these fields—an observation visually supported by the morphological variations shown in Figure 1. The wide range of Jaccard similarity values (0.58–0.93) and the calculated Nei genetic distance (0.186) highlight a lack of genetic stability within these lavender accessions. From a practical standpoint, this genetic fragmentation, further evidenced by the PCoA and AMOVA results, suggests that cultivar purity has not been maintained, which may lead to inconsistent essential oil quality and varying yields across the production fields. The expansion of the total lavender areas during the last decade in Bulgaria is related to increasing cultivation outside the traditional areas in the country. Often the local soil characteristics and/or climate conditions in the new regions of lavender cultivation are not optimal for the currently available and cultivated varieties, which results in large variations in flower and essential oil yields, as well as lower lavender oil quality in some unfavorable years [4]. However, the development and application of molecular markers for the characterization of genetic resources and biodiversity in Bulgarian lavender have been restricted to only a few reported studies [4,12].
In this study a total of 40 primers from three marker systems in germplasms of Lavandula angustifolia Mill., which can be applied to assess planting materials, assessment of genetic diversity and relationships, and marker-assisted selections, were tested. Despite the new information, this study has limitations in terms of both marker coverage and sample size. Future research should focus on larger-scale sampling across different agroclimatic zones and the development of a molecular database for cultivar identification, which are essential for ensuring the authenticity and quality of lavender essential oil.

Funding

The APC was funded by the Bulgarian Ministry of Education and Science within the Bulgarian National Recovery and Resilience Plan, Component “Innovative Bulgaria,” the Project No BG-RRP-2.004-0006-C02 “Development of research and innovation at Trakia University in service of health and sustainable well-being”. The study was supported by the Bulgarian Ministry of Education and Science, the National Science Fund grant number: KП 06 M61/7 15.12.22, Project: “Genetic Profile of Lavender Plantations from Different Regions of Bulgaria. Determining the Authenticity and Uniformity of the Initial Planting Material and Its Influence on the Quality of the Obtained Essential Oil”.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed at the corresponding author.

Acknowledgments

The author extends profound appreciation to Julieta Kocherneko for her meticulous and high-quality translation of the manuscript. Gratitude is also expressed to Vanesa Vasileva and Zornitsa Zherkova for their valuable assistance in the collection and transportation of the plant material. The author further acknowledges the lavender growers for their cooperation and for granting access to their fields for sampling.

Conflicts of Interest

The author declares no conflicts of interest.

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Figure 1. Location of the study sites: (A)—Plantation 1, (B)—Plantation 2.
Figure 1. Location of the study sites: (A)—Plantation 1, (B)—Plantation 2.
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Figure 2. Electrophoresis gels of three lavender accessions (1, 2, 3) tested with CEAP, ISSR and SCoT primers.
Figure 2. Electrophoresis gels of three lavender accessions (1, 2, 3) tested with CEAP, ISSR and SCoT primers.
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Figure 3. Electrophoresis gels of the 40 accessions from both lavender plantations (A), Shumen region, L1–L20 and (B), Shabla region, L21–L40, tested with selected primers, ladder (50–1500 bp).
Figure 3. Electrophoresis gels of the 40 accessions from both lavender plantations (A), Shumen region, L1–L20 and (B), Shabla region, L21–L40, tested with selected primers, ladder (50–1500 bp).
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Figure 4. PCoA plot of within-field patterns within 20 Lavandula angustifolia Mill accessions revealed by CEAP, ISSR and SCoT markers in two plantations: (A) Plantation 1 (L1–L20); (B) Plantation 2 (L21–L40).
Figure 4. PCoA plot of within-field patterns within 20 Lavandula angustifolia Mill accessions revealed by CEAP, ISSR and SCoT markers in two plantations: (A) Plantation 1 (L1–L20); (B) Plantation 2 (L21–L40).
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Figure 5. Shade plot of hierarchical cluster of molecular data obtained by CEAP, ISSR and SCoT markers for forty lavender accessions from two plantations in Bulgaria.
Figure 5. Shade plot of hierarchical cluster of molecular data obtained by CEAP, ISSR and SCoT markers for forty lavender accessions from two plantations in Bulgaria.
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Table 1. The selected primers used for assessment of genetic diversity in lavender plants.
Table 1. The selected primers used for assessment of genetic diversity in lavender plants.
PrimerSequence (5′ to 3′)
ACTCAT1GCAGCTGCGTACTCATAA
CA6RCACACACACACAR
SCoT 14ACGACATGGCGACCACCG
SCoT 24CACCATGGCTACCACCAT
Table 2. CEAP, SCoT and ISSR primers and their number of amplified loci (NB) in Lavandula angustifolia Mill. germplasm.
Table 2. CEAP, SCoT and ISSR primers and their number of amplified loci (NB) in Lavandula angustifolia Mill. germplasm.
PrimersSequenceNB
ACTCAT1GCAGCTGCGTACTCATAA5 b
ACTCAT2GCAGCTGCGTACTCATAT5 b
AAAG1GCAGCTGCGTGTAAAGAA5 c
AAAG2GCAGCTGCGTGTAAAGAT10 c
AAAG14GCAGCTGCGTGTAAAGCT11 c
GATAA4GCAGCTGCGTGGATAATA9 c
GATAA5GCAGCTGCGTGGATAATT5 c
ACGTG26GCAGTCAGACACGTGCAG11 a
TATCC5GCAGCTGAGACTATCCTA5 c
TGAC2GCAGCTGAGAGTTGACAT5 c
TGAC5GCAGCTGAGAGTTGACTA6 c
GGTCA2GCAGTCAGATCGGTCAAT6 c
ACTCAT5 8 b
TGAC6 5 c
Total96
SCoT 2CAACAATGGCTACCACCC12 e
SCoT 3CAACAATGGCTACCACCG7 e
SCoT 4CAACAATGGCTACCACCT8 e
SCoT 5CAACAATGGCTACCACGA0 e
SCoT 8CAACAATGGCTACCACGT2 e
SCoT 9CAACAATGGCTACCAGCA5 e
SCoT 11AAGCAATGGCTACCACCA12 e
SCoT 12ACGACATGGCGACCAACG4 f
SCoT 14ACGACATGGCGACCACCG15 f
SCoT 15ACGACATGGCGACCGCGA12 f
SCoT 21ACGACATGGCGACCGCCA1 e
SCoT 24CACCATGGCTACCACCAT10 e
SCoT 26ACAATGGCTACCACCATC8 f
Total96
AC8YTACACACACACACACACYT8 d
CA6RCACACACACACAR8 d
CAA6CAACAACAACAACAACAA9 d
CA6KCACACACACACAK9 d
CA6RMCACACACACACARM11 d
GACA4GACAGACAGACAGACA9 d
GA8YGGAGAGAGAGAGAGAGAYG9 d
CT8RGCTCTCTCTCTCTCTCTRG5 d
CA8GCACACACACACACACAG8 d
CT8RCCTCTCTCTCTCTCTCTRC7 d
GATA4GATAGATAGATAGATA4 d
GAA5GAAGAAGAAGAAGAA5 d
CA8YGCACACACACACACACAYG7 d
Total97
Annealing temperatures: a—35 °C, b—37 °C, c—39 °C, d—50 °C, e—54 °C, f—61 °C.
Table 3. Selected primers used for assessing the genetic diversity in Lavandula angustifolia Mill. germplasm. Total bands (TB) Polymorphic bands (PB), Monomorphic bands (MB), effective multiplex ratio (EMR), Polymorphic information content (PIC), resolving power (RP), Marker index (MI).
Table 3. Selected primers used for assessing the genetic diversity in Lavandula angustifolia Mill. germplasm. Total bands (TB) Polymorphic bands (PB), Monomorphic bands (MB), effective multiplex ratio (EMR), Polymorphic information content (PIC), resolving power (RP), Marker index (MI).
PrimersBand Size, bpTBPBMB%PBEMRPICRpMI
ACTCAT1300–1500137653.8415.90.2516.14.4
CA6R200–15001716194.1116.80.5017.07.5
SCoT 14120–15001711655.0021.80.2519.35.5
SCoT 24400–15001414010019.80.6918.913.6
Total 614813
Mean 75.718.60.4215.37.8
Table 4. Genetic diversity in studied Lavandula angustifolia Mill plantations revealed by CEAP, ISSR and SCoT markers, different (Na) and effective (Ne) number alleles, Shannon’s Information Index (I), Nei’s gene diversity (H), total number of bands (TB), number of specific bands (Sb), percent of polymorphic bands (PB).
Table 4. Genetic diversity in studied Lavandula angustifolia Mill plantations revealed by CEAP, ISSR and SCoT markers, different (Na) and effective (Ne) number alleles, Shannon’s Information Index (I), Nei’s gene diversity (H), total number of bands (TB), number of specific bands (Sb), percent of polymorphic bands (PB).
PrimersBand Freq.NNaNeIH
ACTCAT10.81201.231.210.160.11
CA6R0.67201.801.600.500.34
SCoT140.89201.471.370.290.20
SCoT240.51201.861.430.390.26
Mean 1.61(0.07)1.41(0.05)0.34(0.04)0.23(0.03)
TBPB%
5963.93
ACTCAT10.83201.461.260.230.15
CA6R0.65201.651.410.360.24
SCoT140.80201.411.340.280.19
SCoT240.49201.501.520.410.28
Mean 1.51(0.08)1.38(0.05)0.32(0.04)0.22(0.03)
TBPB%
5659.02
In the brackets, SE are shown.
Table 5. Genetic diversity in all studied Lavandula angustifolia Mill accessions revealed by CEAP, ISSR and SCoT markers, different (Na) and effective (Ne) number alleles, Shannon’s Information Index (I), Nei’s gene diversity (H).
Table 5. Genetic diversity in all studied Lavandula angustifolia Mill accessions revealed by CEAP, ISSR and SCoT markers, different (Na) and effective (Ne) number alleles, Shannon’s Information Index (I), Nei’s gene diversity (H).
PrimersBand Freq.NNaNeIH
ACTCAT10.82401.351.230.190.13
CA6R0.66401.741.500.430.29
SCoT140.84401.441.350.290.20
SCoT240.50401.681.480.400.27
Total 1.56(0.06)1.40(0.04)0.33(0.03)0.23(0.22)
In the brackets are shown Standard devaluation (SE).
Table 6. AMOVA analysis for studying lavender plantations.
Table 6. AMOVA analysis for studying lavender plantations.
SourcedfSSMSEst. Var%Variation
Among fields188.87588.8754.15642%
Within Fields38218.5505.7515.75158%
Total39307.425 9.908100%
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Zhelyazkova, M.T. Capability of ISSR, SCoT and CEAP Markers for Genetic Diversity Assessment of Lavender (Lavandula angustifolia Mill.) Genotypes. Int. J. Plant Biol. 2026, 17, 8. https://doi.org/10.3390/ijpb17010008

AMA Style

Zhelyazkova MT. Capability of ISSR, SCoT and CEAP Markers for Genetic Diversity Assessment of Lavender (Lavandula angustifolia Mill.) Genotypes. International Journal of Plant Biology. 2026; 17(1):8. https://doi.org/10.3390/ijpb17010008

Chicago/Turabian Style

Zhelyazkova, Mariya Todorova. 2026. "Capability of ISSR, SCoT and CEAP Markers for Genetic Diversity Assessment of Lavender (Lavandula angustifolia Mill.) Genotypes" International Journal of Plant Biology 17, no. 1: 8. https://doi.org/10.3390/ijpb17010008

APA Style

Zhelyazkova, M. T. (2026). Capability of ISSR, SCoT and CEAP Markers for Genetic Diversity Assessment of Lavender (Lavandula angustifolia Mill.) Genotypes. International Journal of Plant Biology, 17(1), 8. https://doi.org/10.3390/ijpb17010008

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