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Article

Genetic Diversity Analysis of Guangxi Kumquat (Fortunella Swing) Germplasm Using SRAP Markers

1
College of Horticulture, Hunan Agricultural University, Changsha 410128, China
2
Guangxi Laboratory of Germplasm Innovation and Utilization of Specialty Commercial Crops in North Guangxi, Guangxi Academy of Specialty Crops, Guilin 541004, China
3
Department of Agriculture, Food and Environment, University of Catania, 95123 Catania, Italy
*
Author to whom correspondence should be addressed.
Horticulturae 2023, 9(6), 689; https://doi.org/10.3390/horticulturae9060689
Submission received: 17 May 2023 / Revised: 7 June 2023 / Accepted: 8 June 2023 / Published: 10 June 2023
(This article belongs to the Section Genetics, Genomics, Breeding, and Biotechnology (G2B2))

Abstract

:
In order to understand the genetic diversity of germplasm resources of kumquats in Guangxi, 14 kumquat germplasm resources in Guangxi and 12 accessions from other provinces were analyzed by using SRAP markers. In total, 19 primer pairs with high stability, good reproducibility, and high polymorphism were chosen for analysis of all 26 kumquat genotypes. Among the 104 amplified bands, 90 (86.54%) were polymorphic. SRAP markers were analyzed by employing Principal Coordinate Analysis, Population Structure Analysis, and Hierarchical Cluster Analysis (UPGMA). The classification results showed that the 26 kumquat germplasm resources could be divided into 5 groups, including cultivated kumquat, intergeneric hybrid, wild kumquat from other provinces, wild kumquat, and hybrid kumquat from Guangxi. The Guangxi kumquat germplasm had high genetic diversity, and were clearly divided into three groups: cultivated kumquat, wild kumquat, and hybrid kumquat. Additionally, the eight cultivated kumquat varieties in Guangxi were further divided into two subgroups. Wild kumquat in Guangxi or in other provinces belonged to different groups; meanwhile, the Guangxi kumquat hybrid formed an independent group, thus indicating that Guangxi wild kumquat and hybrid kumquat possess certain specificity, or they possibly belong to different species. Among the tested 26 kumquat accessions, 23 unique genotype-specific SRAP markers were detected for 14 kumquat genotypes, which were positively identified. For the remaining 12 accessions without genotype-specific markers, they were distinguished by various combinations of markers. These results may have certain importance for kumquat genetic research and cultivar selection.

1. Introduction

Guangxi is located in the southwest of China and has a warm subtropical monsoon climate and diverse topography, making it a suitable area for growing citrus since ancient times [1]. With its abundant citrus genetic resources and long cultivation history, Guangxi occupies the number one position in citrus production in China. Kumquat (Fortunella Swing) is a genus close to Citrus but with distinctive fruit characteristics [2]. Kumquat fruit is rich in flavonoids, and the main phenolic compounds are C-glycoside flavonoids, which are different from those in citrus fruits [3]. F. margarita peel was reported to be a rich source of potentially bioactive polyphenols [4]. β-cryptoxanthin (BCX) was also identified as an active kumquat component with an NK cell-activating effect, and R-limonene as an active component that mediates not only the anti-stress effect but also NK cell activation by oral administration [5].
Kumquat serves as a key industry in Yangshuo and Rongan counties in Guangxi. The primary cultivar is ‘Rongan’ kumquat, which has given rise to a series of new varieties [6,7,8,9]. Moreover, Guangxi possesses F. hindsii and some natural hybrids. Li et al. conducted ploidy analysis and SSR identification of ‘Gui Shanjingan’ (F. hindsii from Guangxi). The results indicated that there was a significant genetic difference between ‘Gui Shanjingan’ and the F. hindsii genotypes from other provinces, and it seemed to be a unique wild kumquat [10]. Additionally, Huang et al. collected Shanju (a kumquat genotype in Guangxi) resources at the border between China and Vietnam, and the genetic analysis results suggested that Shanju could be a new kumquat variety or species. Seeds of Shanju are mono-embryonic and its seedlings have a short juvenile period; thus, it could be utilized as an effective breeding model plant for kumquat [11].
There are different opinions about the classification of kumquat. In The Chinese Record of Fruit Tree—Citrus Volume, kumquat is considered an independent genus, which includes five species and one intergeneric hybrid. In detail, the species are Longleaf kumquat (F. polyandra), Hongkang kumquat or golden bean (F. hindsii), Luofu (F. margarita), Luowen (F. japonica), and Jindan (F. crassifolia), and the intergenus hybrid genotypes such as Changshou kumquat, Sijiju, etc. [2]. In Flora of China (1997 version), five kumquat species were also recorded with some modified scientific names, including F. bawangica, F. hindsii, F. japonica, F. margarita, and F. venosa. However, in the 2020 version of the same Flora of China, kumquat was incorporated into Citrus, and the species F. hindsii, F. japonica, F. margarita, and F. venosa were united as one species—Citrus japonica Thunb. However, the Bawang kumquat remained as the previous F. bawangica Huang [12]. Such confusion in kumquat classification leads to an obstacle for kumquat germplasm studies. It has also been unclear as to the evolutionary relationship between cultivated and wild kumquats and whether F. crassifolia is a pure species or a hybrid.
There have been some reports on the origin and classification of kumquat using molecular markers. Cheng et al. used cp-SSR markers to prove that Sijiju is a hybrid of kumquat (maternal) and tangerine (paternal) [13]. By using RAPD and chloroplast CAPs molecular marker analysis, Yasuda et al. believed that Luowen, Luofu, and Jindan should be one group or species [14]. The chloroplast genome analysis results of Wang et al. supported the incorporation of kumquat into Citrus, but there should be three species, namely C. venosa, C. hindsii, and C. japonica [15]. Zhu et al. analyzed the genetic diversity and phylogeny of 38 kumquat accessions using 46 nuclear SSR and 5 chloroplast loci, and their results suggested that kumquat contained 2 major populations: cultivated kumquat [Luofu (F. margarita), Luowen (F. japonica), and Jindan (F. crassifolia)] and wild kumquat (Hongkong wild kumquat). They further indicated that Luowen originated from the cross or backcross between Luofu and Jindan, but all three deserved the status of “species” [16]. SSR clustering results supported the position of Changshou kumagat as a species [17].
Sequence-related amplification polymorphism (SRAP) employs PCR to detect polymorphisms in the lengths of introns, promoters, or spacers among different individuals and species. Due to its simplicity and effectiveness, SRAP has found extensive application in the analysis of genetic diversity, construction of genetic maps, mapping of crucial traits, and cloning of related genes in plants, including grapes, oil palms, plums, and mangoes [18,19,20,21].
In this study, we employed SRAP markers to assess the genetic diversity of Guangxi kumquat germplasm resources and to develop specific markers for germplasm identification, thus providing more knowledge for kumquat classification, germplasm conservation, and better utilization of kumquat resources in Guangxi.

2. Materials and Methods

2.1. Materials

Twenty-six kumquat genotypes (Table 1) were collected from Guangxi Citrus Germplasm Repository at Guangxi Academy of Specialty Crops and the National Citrus Germplasm Repository at Citrus Research Institute, Southwest University (Chongqing). For each kumquat accession, 5–10 plants were propagated by graft on trifoliate orange rootstock and grown in a greenhouse. Young leaves were sampled from the plants of each genotype and mixed for SRAP analysis.

2.2. DNA Isolation

The genomic DNA from the leaves of 26 kumquat genotypes was isolated by using an improved CTAB protocol [22]. DNA concentration was determined with the Nanodrop 2000 test. The qualified DNA had a ratio of 260/280 above 1.8. Then, the concentration and quality of the DNA were confirmed by 1% agarose gel electrophoresis.

2.3. PCR Amplification for SRAP Markers

Referring to the primer combinations reported by Zhang et al. [23], 4 kumquat varieties (Daguojindou, NB luofu, RA jingan, and HP jingan) were used for screening of suitable primers among 420 primer pairs (Table 2). In total, 19 primer pairs (Table 3) with high stability, good reproducibility, and high polymorphism were chosen for further analysis of all 26 kumquat genotypes.
The SRAP–PCR reaction was carried out as described by Xu et al. [24] with slight modification. Specifically, 0.12 mM dNTP, 0.2 μM primers, 5 U Taq DNA polymerase, 2 μL 10× Taq Buffer (containing 1.6 mM Mg2+), and 50 ng of template DNA were added to a total of 20 μL SRAP-PCR reaction solution. The PCR amplification procedure consisted of an initial denaturation step at 94 °C for 5 min, followed by five cycles of 94 °C for 60 s, 35 °C for 60 s, and 72 °C for 2 min, and then 35 cycles of 94 °C for 60 s, 55 °C for 60 s, and 72 °C for 60 s. A final extension was performed at 72 °C for 8 min. PCR products were stored at 4 °C. All PCR amplifications were repeated at least twice.

2.4. Agarose Gel Electrophoresis

The SRAP-PCR products were separated on a 2% agarose gel by electrophoresis for 1.5 to 2 h, subsequently stained with 4S Green Nucleic Acid Stain (Perfemiker, Shanghai, China), and then photographed using an imager [24].

2.5. Parameters Used for Analysis of SRAP Markers

Bands with identical mobility among 26 kumquat genotypes, amplified with SRAP primers, were scored as “0” (absence of SRAP) and those that were polymorphic as “1” (presence of SRAP), resulting in the construction of a binary sequence matrix of “0, 1” [20]. Principal coordinate analysis (PCoA) was used to construct a biplot using PAST 3.11 software. Jaccard similarity coefficients were used to examine data from SRAP markers [25]. The population Structure analysis was performed using Structure 2.3.4 software and the optimal K value was determined using the ΔK values in the Structure Harvester analysis method [26,27]. The Unweighted Pair-Group Method with Arithmetic Mean Algorithm (UPGMA) in PAST 3.11 software was utilized to create phylogenetic trees [28,29]. Genotype-specific markers were searched through all the SRAP markers, which were used to identify kumquat accessions.

3. Results and Analysis

3.1. Polymorphism Analysis Using SRAP Markers

Out of the 420 pairs of primers screened, 19 SRAP markers were selected, as they yielded clear and bright bands. Figure 1 shows the PCR amplification products with SRAP primers ME20 + EM2. These primers were used to genotype 26 kumquat germplasm resources and 104 bands were amplified in total, with an average of 5.47 bands per primer pair. Among these bands, 90 were polymorphic. The percentage of polymorphism of each primer was 50–100%, and the average percentage of polymorphism was 86.54% (Table 3).

3.2. Principal Coordinate Analysis

Principal Coordinate Analysis (PCoA) was performed on the data generated by the amplification of kumquat genomic DNA using 19 SRAP primer combinations. Coord. 1 represented 34.80% of the genetic variation in these samples, and Coord. 2 covered 19.25% of the genetic variation. The obtained eigenvalues indicated that the first two coordinates provided a good summary of the data, as they explained 54.05% of the total variability (Table 4).
The biplot of PC1 and PC2 showed the 26 kumquats’ grouping (Figure 2). On the PC1, 26 Kumquat accessions were divided into two main categories. The first group included Daguojindou, Dajindou, Shanjingan, FC-1, FC-2, FC-3, FC-4, FC-5, and Jinganzazhong, which belonged to the wild kumquat germplasm. The second group combined the intergenus hybrids (Wenzhouju, Sijiju, and Shouxingju) and all cultivated kumquat varieties. On the PC2, the two groups could be further divided into five subgroups. The first group was classified into three subgroups, namely Hunan wild kumquat (Daguojindou, Dajindou, and Shanjingan), Guangxi wild kumquat (FC-1, FC-2, FC-3, FC-4, and FC-5), and Jinganzazhong. The second one covered the subgroup of intergenus hybrids (Wenzhouju, Sijiju, and Shouxingju) and that of cultivated kumquat varieties. However, the cultivar NB luofu remained a certain distance from the others.
According to the combination of PC1 and PC2, 26 kumquat genotypes could be divided into 5 groups. The first group was wild kumquat (F. hindisii), comprising Daguojindou, Dajindou, and Shanjingan from Hunan province. The second one was occupied by Guangxi wild kumquats FC-1, FC-2, FC-3, FC-4, and FC-5. The third one contained 14 kumquat cultivars collected from different locations. The fourth one was the intergeneric hybrids (Wenzhouju, Sijiju, and Shouxingju). Finally, the fifth one was Jinganzazhong, the wild hybrid from Gupo Mountain in Hezhou, Guangxi.

3.3. Population Structure Analysis

The admixture simulation model was used to assess the kumquat clustering types by screening 19 SRAP primer combinations on the 26 genotypes. The cluster range was evaluated from K = 1 to K = 10. The output results showed a sharp peak with no ambiguity, indicating the highest delta K value at K = 2. There was a second sharp peak at K = 5 (Figure 3). Furthermore, the Bayesian bar graph was used to construct the graph for the admixture model. The accessions were grouped in subgroup clusters with >70% probability of membership fractions.
At K = 2, 11 out of 26 kumquats formed subpopulation I (red color, representing 42.3% of the total number of accessions), and 13 went into subpopulation II (green color, representing 50.0%) (Figure 4). Group I mainly contained wild kumquats; Group II included most cultivated accessions.
At K = 5, 13 kumquat genotypes, all cultivated varieties, gathered in subpopulation I (red color). The Guangxi wild hybrid Jinganzazhong solely occupied subpopulation II (green color). The three intergenus hybrids (Wenzhouju, Sijiju, and Shouxingju) were grouped in subpopulation III (blue color). The three wild kumquats (F. hindisii) from Hunan (Daguojindou, Dajindou, and Shanjingan) were grouped in subpopulation IV (yellow color). Finally, the five wild kumquat genotypes from Guangxi (FC-1, FC-2, FC-3, FC-4, and FC-5) formed the subpopulation V (purple). Strangely, NB luofu did not fall in any group but had the mixed four groups’ genetic background (Figure 5).

3.4. Hierarchical Cluster Analysis (HCA)

A cluster analysis was carried out using the Jaccard coefficient by the UPGMA method based on the Genetic similarity coefficients (Table 5). In the dendrogram, the kumquat genotypes were clustered into five groups (Figure 6). Group one (G1) was the largest, covering 14 kumquat cultivars collected from different locations. This group was further subdivided into four subgroups. Subgroup one contained five cultivars, Rongan jingan and its bud mutation varieties (FY jingan, Guijingan1, Guijingan2, and YS jingan), cultivated in Guangxi. HP jingan, a mutant variety of RA jingan, together with its mutants F15-1 and CM jingan (also from Guangxi), formed Subgroup two. The cultivars from Zhejing (NB jindan, WZ luofu, WZ jingdan, and NB luowen) and that from Hunan (LY jingan) gathered in Subgroup three; NB luofu from Zhejiang occupied a single subgroup. Group two (G2) comprised Wenzhouju, Sijiju, and Shouxingju, which are all intergenus hybrids. Group three (G3) contained FC-1, FC-2, FC-3, FC-4, and FC-5; these are wild kumquats collected from Guangxi. Group four involved Daguojindou, Dajindou, and Shanjingan, which are wild kumquats (F. hindisii) from Hunan province. The single genotype, Jinganzazhong from Gupo Mountain in Hezhou, Guangxi, clustered in the last group.

3.5. Screening of Genotype-Specific Markers and Identification od Kumquat Accessions

Looking through the SRAP markers, some unique kumquat genotype-specific markers (a band was present/absent only in one genotype but not in others) were detected. Among the 26 tested kumquat accessions, 14 genotypes presented 23 unique specific markers. Jinganzazhong, the kumquat hybrid from Guangxi, had four unique markers, NB luofu from Zhejiang had three, NB jindan, WZ jingdan, and Dajindou each had two, and the remaining had one for each (Table 6). NB jindan and WZ jingdan were the only cultivated varieties that had unique specific markers.
By using the unique specific SRAP markers, the 14 kumquat genotypes could be clearly distinguished. For the remaining 12 accessions without unique specific markers, they needed marker combinations to identify them. FC-3 did not have a unique specific marker; however, it shared the specific marker M3E17(180+) with FC-1, FC-4, and FC-5, and the latter three accessions had unique specific markers for each. Obviously, FC-3 could be distinguished from them by the combination of M3E17(180+) with the unique specific markers of FC-1, FC-4, and FC-5. Shouxingju is a hybrid kumquat without a unique specific marker, but it shared the specific marker M18E22(300+) with Wenzhouju, Sijiju, and Jinganzazhong. The combination of M18E22(300+) with the unique specific markers of Wenzhouju, Sijiju, and Jinganzazhong made Shouxingju distinguishable (Table 7).
There existed another pair of genotypes, WZ luofu and NB luowen that originated in Zhejiang, that remained indistinguishable. NB luowen and WZ Luofu shared the marker M10E7(850−) with NB luofu and Wenzhouju. Nevertheless, NB luofu possessed three unique markers [M2E21(400−), M3E17(450+), and M11E21(250+)], and Wenzhouju had the M17E2(530−) unique marker, which allowed them to be discriminated from NB luowen and WZ Luofu. In addition, WZ Luofu shared the specific marker M10E7(320−) with NB luofu, Wenzhouju, and Shanjingan but not with NB luowen, allowing discrimination of the two genotypes. WZ Luofu was easily separated from other marker-sharing genotypes due to their unique markers [NB luofu M2E21(400−), M3E17(450+), and M11E21(250+); Wenzhouju M17E2(530−); and Shanjingan M1E22(300−)] (Table 7).
There were still eight accessions that could not be distinguished. These were cultivars and their bud mutants cultivated mainly in Guangxi, including RA jingan, HP jingan, CM jingan, FY jingan, F15-1, YS jingan, Guijingan1, and Guijingan2 (named Guangxi cultivar group) (Table 6). After a careful search through all the SRAP markers, Guangxi cultivar group was found to possess two group-specific markers [M1E23(800−) and M7E4(1050+)] with NB jindan, WZ jingdan, LY jingan, WZ luofu, and NB luofu (Table 8). As the latter five genotypes could be distinguished from the Guangxi cultivar group by their unique specific markers, the members of the Guangxi cultivar formed a special group separated from all the other kumquat accessions (Table 8).
Successively, genotype-specific markers within the Guangxi cultivar group were checked. Guijingan1, HP jingan, and FY jingan had a genotype-specific marker for each [M1E22(740−), M10E7(710−), and M3E17(90−), respectively], permitting easy discrimination from other group members. For others, bi- or tri-markers were detected. CM jingan and HP jingan had a bi-specific marker M2E21(480−), making CM jingan distinguishable from HP jingan by its specific marker M10E7(710−). YS jingan and F15-1 shared another bi-specific marker M14E12(760−), while Guijingan2, YS jingan, and HP jingan possessed a tri-specific marker M14E12(700−). By the two combinations of markers, HP jingan was first discriminated by its single marker, YS jingan occupied both markers thus distinguishable, and thereafter F15-1 only presented M14E12(760−) and Guijingan2 solely M14E12(700−). The last member in the group was RA jingan, which did not have any specific marker to distinguish it from the other seven members (Table 9).

4. Discussion

The genetic diversity of plant species is the basis of their survival and evolution, and genetic research is an effective method to evaluate and quantify genetic variation [30]. With the development of DNA fingerprinting technology, molecular markers have been widely used in molecular taxonomy, variety identification, and marker-assisted selection in different plants [31,32]. SRAP is a PCR-based technique that has been widely used in plant germplasm diversity, variety identification, genetic mapping, and gene cloning in recent years [33] in various crops, including coffee [29], kiwifruit [34], and litchi [35]. In this study, 19 combinations of SRAP primers were used to determine the genetic diversity of 26 kumquat accessions. Out of the 104 bands amplified, 90 (86.54%) were polymorphic, which made it possible to analyze the genetic diversity and to identify all 26 kumquat accessions. These results indicate that SRAP markers are useful for kumquat genetic diversity analysis and genotype identification.
In the studies on germplasm diversity, principal coordinate analysis, structural analysis, and UPGMA cluster analysis are often utilized to carry out data analysis [16,29]. In the present work, the SRAP data of 26 kumquat genotypes were analyzed by using these three methods. In the principal coordinate analysis, though PC1 and PC2 only contained 54.05% of all the information, PC1 analysis results played an important role in the classification of wild and cultivated kumquats, which were further subdivided into five subgroups by PC2. The results of structural analysis showed that 26 kumquat accessions were first divided into two groups, wild kumquats and cultivated, and then into five groups. However, NB luofu could not be classified into any of the groups as it had genetic background components of four groups. This might suggest that NB luofu could be of hybrid origin. UPGMA cluster analysis showed that 26 kumquat genotypes were also divided into 5 groups. Surprisingly, all 26 kumquat accessions were classified into 5 identical groups with the 3 data processing methods, which might indicate that the SRAP markers were stable and reliable. Here, the results might reflect the genetic differences between the kumquat accessions.
Other than genetic origin, geographic regions also affect kumquat biodiversity. Among the 26 tested kumquat accessions, 14 were from Guangxi and 12 from other provinces. As mentioned above, genetic background classified the 14 Guangxi kumquat germplasm resources into 3 groups according to their origins: wild kumquat, hybrid kumquat, and cultivated varieties. The results indicate the rich genetic diversity of the Guangxi kumquat germplasm. However, in comparison with the kumquat germplasm from other provinces, the Guangxi kumquat germplasm resulted in different groups, even belonging to the same cultivated or wild types. The Guangxi wild kumquat (FC-1, FC-2, FC-3, FC-4, and FC-5) remained in different groups from the wild ones from Hunan (Shanjingan, Dajindou and Dagujindou). The Hunan wild kumquats belong to F. hindisii, whose trees are dwarf with small leaves, have fruits like a bean in size, and have twigs with long thorns. On the other hand, the Guangxi wild kumquat genotypes have big trees over 5 m tall, small leaves the same as those of F. hindisii in size, and fruit much bigger than that of F. hindisii and a little smaller than that of F. crassifolia. The differences in morphological characteristics and SRAP profiles indicate that the Guangxi wild kumquat might be a new Fortunella species; obviously, such a suggestion needs further investigation for confirmation.
Jinganzazhong, a Guangxi kumquat hybrid, was collected from Gupu Mountain in Hezhou, where it was remote and was hardly introduced to anything from outside the area. In fact, its SRAP profiles were distinct from those of the well-known intergenus hybrids (Shouxingju, Sijiju, and Wenzhouju). They might have different parentage in origin, and successive identification is necessary.
Though the cultivated kumquat varieties usually formed in one group in the classification, indicating a close genetic relationship, eight cultivars from Guangxi and six from Hunan and Zhejiang were clustered into two subgroups. This suggests that the cultivated kumquat in Guangxi also had certain genetic diversity and specificity compared with those from other provinces. Thorough studies are necessary to ascertain whether this differentiation is due to their genetic origin or geographic evolution effects.
Zhu et al. suggested that the genus Fortunella consisted of two populations: cultivated kumquat and Hongkang (wild) kumquat [16]. The results of this study revealed that the kumquat germplasm was divided into wild and cultivated kumquat groups in Principal Coordinate Analysis (PC1) and Population Structure Analysis (at K = 2). Hereby, it seems that Fortunella may be roughly divided into wild and cultivated genotypes.
Some researchers intended to put kumquat into Citrus (Citrus japonica Thunb) [12]. Wang et al. supported the incorporation of kumquat into Citrus, but the traditional kumquat should have three species: F. venosa, F. hindsii, and F. japonica [15]. In the present study, the wild kumquat genotypes were divided into the Guangxi wild kumquat group and the golden bean group. All the accessions of F. hindsii had a very close relationship and did not appear to be able to divide into two species. The present study did not provide sufficient data to form opinions on the suggestion of putting kumquat into Citrus.
The cultivated kumquat includes three species: Luowen (F. japonica), Luofu (F. margarita), and Jindan (F. crassifolia) [2]. Zhu et al. found that there was a clear genetic structure of “F. margaritaF. crassifolia” in cultivated kumquats. The Luowen may have originated from a cross or backcross between Luofu and Jindan, but all three cultivated species deserved the status of “species” [16]. After the analyses by RAPD and CAPs of chloroplasts, Yasuda et al. suggested that the three cultivated kumquat species should be combined into one species (F. margarita complex) [14]. Here, we found that the cultivars derived from Luowen, Luofu, and Jindan could not be clearly divided into three species, and it is possible that the cultivated kumquat might not be able to be divided into the three species Luowen, Luofu, and Jindan, as there is insufficient genetic information.
Genotype-specific markers are an efficient tool for identifying germplasm resources. SRAP markers have been successfully applied to the variety identification of fruit trees such as apple [36], kiwifruit [37], and grape [38]. The kumquat is a perennial woody plant with a complex genetic background. Most of the cultivated varieties have originated from bud mutation with a narrow genetic background, which usually leads to difficulty in distinguishing by molecular markers. Therefore, the present results, with SRAP markers allowing identification of all the tested kumquat accessions, have a certain importance for kumquat genetic research. In this study, unique genotype-specific SRAP markers were detected for 14 kumquat genotypes, which made it possible to positively identify them. For the remaining 12 accessions without genotype-specific markers, they (including the cultivated varieties that originated from bud mutation) were distinguished by various combinations of markers. These specific markers will be useful for kumquat cultivar discrimination, nursery identity verification, and hybrid identification, which will be valuable in kumquat breeding and cultivar patent protection.
Wild kumquats in Guangxi have been in a wild state for a long time and exposed to different environmental stresses such as drought, high/low temperatures, and various pests and diseases. The kumquat germplasm has demonstrated strong adaptability to adversity and possesses tolerance to abiotic and/or biotic stresses. It may be used in genetic improvement for increasing the tolerance to stresses. What is more, this wild kumquat is mono-embryotic and of short juvenility, whose characteristics permit it to be used as a female parent with high efficiency in cross-breeding.

Author Contributions

Conceptualization, B.L., P.D., R.Y., Y.L., S.O., A.G., X.M. and Z.D.; methodology, B.L., P.D., R.Y., Y.L. and Z.D.; software, B.L., P.D., R.Y., Y.L. and Z.D.; validation, B.L., P.D., R.Y., Y.L. and Z.D.; formal analysis, B.L., P.D., R.Y., Y.L. and Z.D.; investigation, B.L., P.D., R.Y., Y.L., S.O., A.G., X.M. and Z.D.; resources, B.L., P.D., R.Y., Y.L., S.O., X.M. and Z.D.; data curation, B.L., P.D., R.Y., Y.L., S.O., A.G., X.M. and Z.D.; writing—original draft preparation, B.L., P.D., R.Y., Y.L. and Z.D.; writing—review and editing, B.L., P.D., R.Y., Y.L., S.O., A.G., X.M. and Z.D.; visualization, B.L., P.D., R.Y., Y.L. and Z.D.; supervision, S.O., A.G., X.M. and Z.D.; project administration, B.L., X.M. and Z.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Science and Technology Base and Talent Special Program of Guangxi Province, China (Grant No. GuikeAD21220014), Natural Science Foundation of Guangxi Province, China (Grant No. 2022GXNSFBA035554), Key Research and Development Technology Project of Guangxi Province, China (Grant No. GuikeAB21220031), Postgraduate Scientific Research Innovation Project of Hunan Province, China (Grant No. CX20210671).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

There were no conflict of interest from the authors.

References

  1. Liu, B.H.; Deng, C.L.; Chen, C.W.; Deng, G.Z.; Ding, P.; Niu, Y.; Tang, Y.; Fu, H.M. ISSR analysis of local citrus resources in Guangxi. J. Fruit Sci. 2015, 32, 1001–1006. [Google Scholar]
  2. Zhou, K.L.; Ye, Y.M. Chinese Record of Fruit Trees—Citrus Volume; Beijing Forestry Publishing House: Beijing, China, 2010; Volume 126–130, pp. 427–433. [Google Scholar]
  3. Lou, S.N.; Ho, P. Compounds and biological activities of small-size citrus: Kumquat and calamondin. J. Food Drug Anal. 2017, 25, 162–175. [Google Scholar] [CrossRef] [Green Version]
  4. Sadek, E.S.; Makris, D.P.; Kefalas, P. Polyphenolic composition and antioxidant characteristics of kumquat (Fortunella margarita) peel fractions. Plant Foods Hum. Nutr. 2009, 64, 297–302. [Google Scholar] [CrossRef] [PubMed]
  5. Terao, R.; Murata, A.; Sugamoto, K.; Watanabe, T.; Nagahama, K.; Nakahara, K.; Kondo, T.; Murakami, N.; Keiichi, F.; Hattoriab, H.; et al. Immunostimulatory effect of kumquat (Fortunella crassifolia) and its constituents, β-cryptoxanthin and R-limonene. Food Funct. 2019, 10, 38–48. [Google Scholar] [CrossRef] [PubMed]
  6. Liu, B.H.; Deng, G.Z.; Deng, C.L.; Chen, C.W.; Tang, Y.; Fu, H.M.; Ding, P. Selection of kumquat new cultivar ‘Guijingan No. 1’. J. Fruit Sci. 2016, 33, 762–765. [Google Scholar]
  7. Deng, C.L.; Deng, G.Z.; Deng, X.X.; Liu, B.H.; Tang, Y.; Chen, C.W.; Deng, J.Y. Breeding report of a new late ripening kumquat cultivar ‘Guijingan No.2’. J. Fruit Sci. 2017, 34, 1357–1360. [Google Scholar]
  8. Tang, Z.P.; Gao, X.; Qin, R.Y.; Sun, N.J.; Lan, H.G.; Wei, R.J.; Deng, G.Z.; Liu, B.H. A new Fortunella crassifiolia cultivar ‘Cuimi Kumquat’. J. Fruit Sci. 2018, 35, 131–134. [Google Scholar]
  9. Liu, B.H.; Deng, G.Z.; Tang, Z.P.; Qin, R.Y.; Wei, R.J.; Xia, L.H.; Qin, Q. A new kumquat cultivar ‘Fuyuan Jingan’. Acta Hortic. Sin. 2022, 49, 71–72. [Google Scholar]
  10. Li, G.G.; Liu, Y.X.; Chai, L.J.; Ye, J.L.; Mai, C.S.; Ou, Z.T.; Chen, X.L. Ploidy analysis and SSR molecular identification of Gui Wild Shanjingan. Southwest China J. Agric. Sci. 2017, 30, 1872–1876. [Google Scholar]
  11. Huang, G.X.; Guo, L.Y.; Zhang, S.W.; He, X.H.; Zhou, R.Y.; Chen, H.; Yang, C.J. Genetic relationship analysis of Fortunella germplasm resources from China and Vietnam by ISSR markers. J. Fruit Sci. 2011, 28, 563–567. [Google Scholar]
  12. Zhang, D.X.; Feng, Z.Y.; Liu, C.R.; Yu, H.P.; Deng, Y.F.; Hartey, T.G.; Mabberley, D.J. Flora of China, Kumquat; Science Press: Beijing, China, 1997; pp. 169–175. Available online: http://www.iplant.cn/frps/cname/ (accessed on 16 April 2023).
  13. Cheng, Y.J.; Vicente, M.C.; Meng, H.J.; Guo, W.W.; Tao, N.G.; Deng, X.X. A set of primers for analyzing chloroplast DNA diversity in Citrus and related genera. Tree Physiol. 2005, 25, 661–672. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Yasuda, K.; Yahata, M.; Komatsu, H.; Kunitake, H. Phylogeny and classification of Fortunella (Aurantioideae) inferred from DNA polymorphisms. Bul. Fac. Agr. Univ. Miyazaki 2010, 56, 103–110. [Google Scholar]
  15. Wang, T.; Chen, L.L.; Shu, H.J.; You, F.L.; Xiao, L.; Li, J.; Ren, J.; Wanga, V.O.; Mutie, F.; Cai, X.Z.; et al. Fortunella venosa (Champ. ex Benth.) CC Huang and F. hindsii (Champ. ex Benth.) Swingle as independent species: Evidence from morphology and molecular systematics and taxonomic revision of Fortunella (Rutaceae). Front. Plant Sci 2022, 13, 867659. [Google Scholar] [CrossRef]
  16. Zhu, C.Q.; Chen, P.; Ye, J.L.; Li, H.; Huang, Y.; Yang, X.M.; Chen, C.W.; Zhang, C.L.; Xu, Y.T.; Wang, X.L.; et al. New insights into the phylogeny and speciation of kumquat (Fortunella spp.) based on chloroplast SNP, nuclear SSR and whole-genome sequencing. Front. Agr. Sci. Eng 2022, 9, 627–641. [Google Scholar] [CrossRef]
  17. Zhang, L.F.; He, J.; Feng, Y.; Liu, L.; Guo, Q.G.; Liang, G.L. Genetic relationship of kumquat and its related genera by SSR analysis. J. Fruit Sci. 2006, 23, 335–338. [Google Scholar]
  18. Zhang, Z.H.; Zhang, A.S.; Gao, D.T.; Wei, Z.F. Genetic diversity analysis of Main Kyoho grapevine series cultivars based on SRAP markers and rapid identification by MCID method. J. Northeast Agric. Sci. 2022, 4, 38–42. [Google Scholar]
  19. Zhou, L.X.; Yarra, R.; Cao, H.X.; Zhao, Z.H. Sequence-related amplified polymorphism (SRAP) markers based genetic diversity and population structure analysis of oil palm (Elaeis guineensis Jacq.). Trop. Plant Biol. 2021, 14, 63–71. [Google Scholar] [CrossRef]
  20. Zhang, Y.; Huang, G.D.; Mo, Y.L.; Luo, S.X.; Zhao, Y.; Tang, Y.J.; Lu, Z.S.; Shan, B.; Rong, T. Genetic diversity of mango seed was analyzed using CDDP and SRAP markers. South China Fruits 2022, 2, 57–63. [Google Scholar]
  21. Sun, L.L.; Peng, L.N.; Li, Z.; Hou, R.N.; Mou, Y.H. Construction of Genetic Linkage Map of Plum (Prunus salicina L.) with ISSR and SRAP Markers. Guangdong Agric. Sci. 2022, 49, 40–48. [Google Scholar] [CrossRef]
  22. Zhang, W.; Hu, W.; Zhang, X.Y.; Zhou, M.; Jiang, Q.Q.; Deng, Z.N.; Li, D.Z. Identification of the hybrid progeny of Shatian pomelo × citron by embryo rescue technique and its SRAP detection. J. Fruit Sci. 2013, 30, 386–389. [Google Scholar]
  23. Zhang, L.H.; Han, H.Z.; Wang, X.L.; Li, S.H.; Wang, F.; Dong, R.; Liu, Y. Screening of molecular markers for SRAP of Cinnamomum camphora . Anhui Agric. Sci. Bull. 2019, 25, 25–27, 57. [Google Scholar]
  24. Xu, J.; Tan, L.M.; Fu, H.Y.; Zhu, Z.M.; Long, L.B.; Hu, Z.; Ma, X.F.; Deng, Z.N. Genetic diversity analysis of 14 citron genotypes based on molecular markers. Fenzi Zhiwu Yuzhong (Molecular Plant Breeding) 2021, 19, 4726–4737. [Google Scholar]
  25. Jaccard, P. Nouvelles recherches sur la distribution florale. Bull. Soc. Vaud. Sci. Nat 1908, 44, 223–270. [Google Scholar]
  26. Pritchard, J.K.; Stephens, M.J.; Donnelly, P.J. Inference of population structure using multilocus genotype data. Genetics 2000, 155, 945–959. [Google Scholar] [CrossRef]
  27. Earl, D.A.; Vonholdt, B.M. Structure harvester: A website and program for visualizing structure output and implementing the Evanno method. Conserv. Genet. Resour. 2012, 4, 359–361. [Google Scholar] [CrossRef]
  28. Hammer, Ø.; Harper, D.A.T.; Ryan, P.D. Past: Paleontological statistics software package for education and data analysis. Palaeontol. Electron 2001, 4, 9. [Google Scholar]
  29. Al-Ghamedi, K.; Alaraidh, I.; Afzal, M.; Mahdhi, M.; Al-Faifi, Z.; Oteef, M.D.Y.; Tounekti, T.; Alghamdi, S.S.; Khemira, H. Assessment of genetic diversity of local coffee populations in southwestern Saudi Arabia using SRAP markers. Agronomy. 2023, 13, 302. [Google Scholar] [CrossRef]
  30. Chown, S.L.; Hodgins, K.A.; Griffin, P.C.; Oakeshott, J.G.; Byrne, M.; Hoffmann, A.A. Biological invasions, climate change, and genomics. In Crop Breeding: Bioinformatics and Preparing for Climate Change; Santosh, K., Ed.; Apple Academic Press: Waretown, NJ, USA, 2016; pp. 37–91. [Google Scholar]
  31. Al-Murish, T.M.; Elshafei, A.A.; Al-Doss, A.A.; Barakat, M.N. Genetic diversity of coffee (Coffea arabica L.) in Yemen via SRAP, TRAP and SSR markers. Food Agric. Env. 2013, 11, 411–416. [Google Scholar]
  32. Hasan, N.; Choudhary, S.; Naaz, N.; Sharma, N.; Laskar, R.A. Recent advancements in molecular marker-assisted selection and applications in plant breeding programs. J. Genet. Eng. Biotechnol 2021, 19, 128. [Google Scholar] [CrossRef]
  33. Nadeem, M.A.; Nawaz, M.A.; Shahid, M.Q.; Doğan, Y.; Comertpay, G.; Yıldız, M.; Hatipoğlu, R.; Ahmad, F.; Alsaleh, A.; Labhane, N. DNA molecular markers in plant breeding: Current status and recent advancements in genomic selection and genome editing. Biotechnol. Biotechnol. Equip. 2018, 32, 261–285. [Google Scholar] [CrossRef] [Green Version]
  34. Zhang, K.; Zhou, Y.J.; Li, Y.; Liu, X.L.; Guo, Y.Q.; Xia, H.; Liang, D. Genetic diversity analysis of kiwifruit germplasm based on SRAP and SCoT markers. J. Fruit Sci. 2021, 38, 2059–2071. [Google Scholar]
  35. Hu, F.C.; Wu, X.B.; Chen, Z.; Wu, F.Z.; Zhou, W.J.; Feng, X.J.; Fan, H.Y.; Zhou, R.Y.; Wang, X.H. Genetic diversity analysis of litchi germplasm resources based on SRAP molecular markers. J. Trop. Crops 2021, 42, 920–926. [Google Scholar]
  36. Li, H.F.; Ran, K.; Wang, T. Construction of fingerprint of apple resources in Shandong province by using SRAP markers. J. Shenyang Agric. Univ. 2020, 51, 470–475. [Google Scholar]
  37. Zhang, A.S.; Si, Q.L.; Qi, X.J.; Zhang, Z.H. Genetic diversity analysis and fingerprint construction of germplasm resources of kiwifruit. Jiangsu Agric. J. 2018, 34, 138–144. [Google Scholar]
  38. Shang, X.X.; Zhang, A.S.; Liu, Y.; Gao, D.T. Genetic diversity analysis and fingerprint construction of grapevine germplasm resources based on SRAP. Mol. Plant Breed. 2020, 18, 1916–1922. [Google Scholar]
Figure 1. PCR amplification products with the SRAP primer pair ME20 + EM2. Note: 1–26 indicate the 26 kumquat genotypes listed in Table 1; M: DNA size ladder DL2000. Examples of markers: M20E2(490−): absence of a band as a common specific marker of FC-1 and FC-5; M20E2(270+): presence of a band as a common specific marker of FC-2 and Daguojindou.
Figure 1. PCR amplification products with the SRAP primer pair ME20 + EM2. Note: 1–26 indicate the 26 kumquat genotypes listed in Table 1; M: DNA size ladder DL2000. Examples of markers: M20E2(490−): absence of a band as a common specific marker of FC-1 and FC-5; M20E2(270+): presence of a band as a common specific marker of FC-2 and Daguojindou.
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Figure 2. Biplot analysis of kumquats’ diversity as inferred from SRAP markers. Note: The numbers are genotype codes listed in Table 1.
Figure 2. Biplot analysis of kumquats’ diversity as inferred from SRAP markers. Note: The numbers are genotype codes listed in Table 1.
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Figure 3. The number of K clusters (1–10) generated from nineteen SRAP primer combinations.
Figure 3. The number of K clusters (1–10) generated from nineteen SRAP primer combinations.
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Figure 4. Population structure analysis at K = 2 using SRAP marker data from 26 kumquat genotypes. Note: The genotype codes are listed in Table 1.
Figure 4. Population structure analysis at K = 2 using SRAP marker data from 26 kumquat genotypes. Note: The genotype codes are listed in Table 1.
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Figure 5. Structure analysis at K = 5 using SRAP marker data from 26 kumquat genotypes. Note: The genotype codes are listed in Table 1.
Figure 5. Structure analysis at K = 5 using SRAP marker data from 26 kumquat genotypes. Note: The genotype codes are listed in Table 1.
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Figure 6. Dendrogram of 26 kumquats generated by Jaccard coefficient and UPGMA clustering method based on SRAP molecular markers. Note: The numbers in front of the branches are bootstrap values. The genotype codes: 1. NB Jindan; 2. DG Jindou; 3. JG Zazhong; 4. WZ Luofu; 5. NB Luofu; 6. WZ Jindan; 7. Sijiju; 8. Wenzhouju; 9. Shouxingju; 10. Dajindou; 11. NB Luowen; 12. RA Jingan; 13. FY Jingan; 14. CM Jingan; 15. G Jingan1; 16. G Jingan2; 17. YS Jingan; 18. 15-1; 19. Shanjingan; 20. LY Jingan; 21. HP Jingan; 22. FC-1; 23. FC-2; 24. FC-3; 25. FC-4; 26. FC-5.
Figure 6. Dendrogram of 26 kumquats generated by Jaccard coefficient and UPGMA clustering method based on SRAP molecular markers. Note: The numbers in front of the branches are bootstrap values. The genotype codes: 1. NB Jindan; 2. DG Jindou; 3. JG Zazhong; 4. WZ Luofu; 5. NB Luofu; 6. WZ Jindan; 7. Sijiju; 8. Wenzhouju; 9. Shouxingju; 10. Dajindou; 11. NB Luowen; 12. RA Jingan; 13. FY Jingan; 14. CM Jingan; 15. G Jingan1; 16. G Jingan2; 17. YS Jingan; 18. 15-1; 19. Shanjingan; 20. LY Jingan; 21. HP Jingan; 22. FC-1; 23. FC-2; 24. FC-3; 25. FC-4; 26. FC-5.
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Table 1. The tested kumquat genotypes.
Table 1. The tested kumquat genotypes.
CodeAbbreviationGenotype NameScientific NamePossible Origin
1NB jindanNingbo jindanF. crassifoliaNingbo, Zhejiang
2DaguojindouDaguojindouF. hindsiiCitrus Research Institute, SWU/CAAS
3JinganzazhongGuangxi natural kumquat hybridCitrus × FortunellaHezhou, Guangxi
4WZ luofuWenzhou luofuF. margaritaWenzhou, Zhejiang
5NB luofuNingbo luofuF. margaritaNingbo, Zhejiang
6WZ jingdanWenzhou jingdanF. crassifoliaWenzhou, Zhejiang
7SijijuSijijuCitrus × FortunellaCitrus Research Institute, SWU/CAAS
8WenzhoujuWenzhouju (kumquat hybrid)Citrus × FortunellaWenzhou, Zhejiang
9ShouxingjuShouxingju (kumquat hybrid)Citrus × FortunellaCitrus Research Institute, SWU/CAAS
10DajindouDajindouF. hindsiiCitrus Research Institute, SWU/CAAS
11NB luowenNingbo luowenF. japonicaNingbo, Zhejiang
12RA jinganRongan jinganF. crassifoliaLiuzhou, Guangxi
13FY jinganFuyuan jinganF. crassifoliaLiuzhou, Guangxi
14CM jinganCuimi jinganF. crassifoliaLiuzhou, Guangxi
15Guijingan1Guijingan No.1F. crassifoliaYangshuo, Guangxi
16Guijingan2Guijingan No.2F. crassifoliaYangshuo, Guangxi
17YS jinganYangshuo jinganF. crassifoliaYangshuo, Guangxi
18F15-1F15-1F. crassifoliaLiuzhou, Guangxi
19ShanjinganHunan ShanjinganF. hindsiiChangsha, Hunan
20LY jinganLiuyang jinganF. crassifoliaChangsha, Hunan
21HP jinganHuapi jinganF. crassifoliaLiuzhou, Guangxi
22FC-1Guangxi wild kumquat FC-1Fortunella sp.Fangchenggang, Guangxi
23FC-2Guangxi wild kumquat FC-2Fortunella sp.Fangchenggang, Guangxi
24FC-3Guangxi wild kumquat FC-3Fortunella sp.Fangchenggang, Guangxi
25FC-4Guangxi wild kumquat FC-4Fortunella sp.Fangchenggang, Guangxi
26FC-5Guangxi wild kumquat FC-5Fortunella sp.Fangchenggang, Guangxi
Note: SWU: Southwest University; CAAS: Chinese Academy of Agricultural Sciences.
Table 2. All primer pairs used for suitable SRAP primer screening in this study.
Table 2. All primer pairs used for suitable SRAP primer screening in this study.
Forward PrimerReverse Primer
ME Primer CodePrimer Sequence (5′-3′)EM Primer CodeSequence (5′-3′)
ME1TGAGTCCAAACCGGAAAEM1GACTGCGTACGAATTAAC
ME2TGAGTCCAAACCGGAACEM2GACTGCGTACGAATTAAT
ME3TGAGTCCAAACCGGAAGEM3GACTGCGTACGAATTACG
ME4TGAGTCCAAACCGGAATEM4GACTGCGTACGAATTAGC
ME5TGAGTCCAAACCGGACAEM5GACTGCGTACGAATTATG
ME6TGAGTCCAAACCGGACCEM6GACTGCGTACGAATTCAA
ME7TGAGTCCAAACCGGACGEM7GACTGCGTACGAATTCAC
ME8TGAGTCCAAACCGGACTEM8GACTGCGTACGAATTCAG
ME9TGAGTCCAAACCGGAGAEM9GACTGCGTACGAATTCAT
ME10TGAGTCCAAACCGGAGCEM10GACTGCGTACGAATTCCA
ME11TGAGTCCAAACCGGAGGEM11GACTGCGTACGAATTCGA
ME12TGAGTCCAAACCGGATAEM12GACTGCGTACGAATTCGG
ME13TGAGTCCAAACCGGTAAEM13GACTGCGTACGAATTCTA
ME14TGAGTCCAAACCGGTAGEM14GACTGCGTACGAATTCTC
ME15TGAGTCCAAACCGGTCAEM15GACTGCGTACGAATTCTG
ME16TGAGTCCAAACCGGTCCEM16GACTGCGTACGAATTCTT
ME17TGAGTCCAAACCGGTGCEM17GACTGCGTACGAATTGAT
ME18TGAGTCCAAACCGGTGTEM18GACTGCGTACGAATTGCA
ME19TGAGTCCAAACCGGTTAEM19GACTGCGTACGAATTGGT
ME20TGAGTCCAAACCGGTTGEM20GACTGCGTACGAATTGTC
EM21GACTGCGTACGAATTTAG
EM22GACTGCGTACGAATTTCG
EM23GACTGCGTACGAATTTGA
EM24GACTGCGTACGAATTTGC
Note: Each ME primer is paired with any EM primer to form a primer pair.
Table 3. Analysis of the polymorphisms detected using 19 chosen SRAP primers.
Table 3. Analysis of the polymorphisms detected using 19 chosen SRAP primers.
No.Primer Pair CodeAmplified BandsPolymorphic BandsPolymorphic Rate (%)
1Me1Em156466.67
2Me1Em2244100
3Me1Em2366100
4Me2Em1766100
5Me9Em237457.14
6Me2Em216583.33
7Me10Em710880
8Me4Em711100
9Me4Em1210880
10Me3Em1744100
11Me4Em1744100
12Me11Em2122100
13Me10Em1344100
14Me14Em1266100
15Me16Em194250
16Me7Em410880
17Me20Em277100
18Me17Em222100
19Me18Em2255100
Sum/Average104/5.4790/4.7486.54
Table 4. Eigenvalues of Principal Coordinate Analysis (PCoA).
Table 4. Eigenvalues of Principal Coordinate Analysis (PCoA).
AxisEigenvalueCumulative EigenvaluePercent (%)Cumulative (%)
10.530.5334.8034.80
20.290.8319.2554.05
30.191.0212.7466.78
40.171.1910.9077.68
50.091.285.6783.35
60.081.365.3888.72
70.031.392.1090.82
80.021.411.6192.43
90.021.431.3493.76
100.021.451.0194.78
110.011.460.7895.56
120.011.470.5296.08
130.001.470.2496.32
140.001.480.1196.42
150.001.480.0096.43
160.001.480.0096.43
Table 5. Genetic similarity coefficients based on the SRAP markers of all the tested genotypes.
Table 5. Genetic similarity coefficients based on the SRAP markers of all the tested genotypes.
No. Germplasm1. NB jindan2. Daguojindou3. Jinganzazhong4. WZ luofu5. NB luofu6. WZ jingdan7. Sijiju8. Wenzhouju9. Shouxingju10. Dajindou11. NB luowen12. RA jingan13. FY jingan14. CM jingan15. Guijingan116. Guijingan217. YS jingan18. F15-119. Shanjingan20. LY jingan21. HP jingan22. FC14-123. FC14-224. FC14-325. FC14-426. FC14-5
1NB jindan1.000
2Daguojindou0.6341.000
3Jinganzazhong0.6340.6041.00
4WZ luofu0.9410.6340.5941.000
5NB luofu0.8120.64360.5840.8511.000
6WZ jingdan0.9410.6340.6530.9210.8121.000
7Sijiju0.7620.6730.6340.7620.8510.7821.000
8Wenzhouju0.7030.5940.5840.7030.7720.7030.8711.000
9Shouxingju0.8220.6730.6730.7820.8310.8220.9410.8511.000
10Dajindou0.6630.9310.5940.6440.6730.6630.6630.5840.7031.000
11NB luowen0.9110.6630.6440.9110.8220.9110.7720.7230.8320.6931.000
12RA jingan0.9600.6530.6530.9410.8120.9800.7620.7030.8220.6830.9311.000
13FY jingan0.9500.6630.6630.9310.8020.9700.7520.6930.8120.6930.9210.9901.000
14CM jingan0.9410.6730.6530.9210.7920.9600.7430.6830.8020.7030.9310.9800.9701.000
15Guijingan10.9500.6440.6440.9500.8220.9700.7720.6930.8120.6730.9210.9900.9800.9701.000
16Guijingan20.9700.6440.6630.9310.8020.9700.7720.7120.8320.6730.9210.9900.9800.9700.9801.000
17YS jingan0.9600.6530.6530.9410.7920.9600.7820.7230.8220.6630.9110.9800.9700.9600.9700.9901.000
18F15-10.9310.6830.6440.9310.7820.9500.7520.6930.7920.6930.9210.9700.9600.9900.9600.9600.9701.000
19Shanjingan0.6440.9110.5940.6440.6530.6240.6830.6140.6830.8810.6530.6440.6530.6630.6340.6530.6630.6731.000
20LY jingan0.9410.6340.6340.9210.7720.9010.7430.7030.7820.6440.8710.9210.9110.9010.9110.9310.9410.9110.6441.000
21HP jingan0.9600.6530.6530.9210.7920.9410.7430.6930.8020.6830.9310.9600.9500.9800.9500.9700.9600.9700.6630.9211.000
22FC14-10.6830.6340.5740.6440.6340.6830.5840.5250.6440.6630.6930.7030.7130.7030.6930.7130.7030.6930.6440.64340.7031.000
23FC14-20.7030.7130.5540.6630.6930.6830.6830.6140.7230.7430.7130.7030.7130.7030.6930.7130.7030.6930.7230.6630.703 0.8221.000
24FC14-30.6930.6440.6830.6730.7430.7130.6530.6040.6930.6530.7230.7130.7230.7130.7030.7030.6930.7030.6340.6730.7130.7130.7721.000
25FC14-40.7620.6930.6140.7230.7330.7230.6630.6140.6830.7230.7330.7430.7330.7430.7330.7520.7430.7330.7030.7620.7620.8020.8220.7721.000
26FC14-50.6830.6530.5940.6630.6730.6440.6040.5450.6240.6830.6530.6630.6730.6630.6530.6730.6830.6730.6630.7030.6830.7620.7820.7330.8611.000
Table 6. The unique kumquat genotype-specific markers.
Table 6. The unique kumquat genotype-specific markers.
CodeGenotypesUnique Specific Markers
1NB jindanM1E15(1800−), M3E17(250−)
2DaguojindouM1E23(400−)
3JinganzazhongM1E22(250+), M4E17(500+), M9E23(700−), M10E13(200+)
4WZ luofuNone
5NB luofuM2E21(400−), M3E17(450+), M11E21(250+)
6WZ jingdanM2E21(450+), M16E9(350−)
7SijijuM4E12(1300−)
8WenzhoujuM17E2(530−)
9ShouxingjuNone
10DajindouM3E17(100+), M4E17(250−)
11NB luowenNone
12RA jinganNone
13FY jinganNone
14CM jinganNone
15Guijingan1None
16Guijingan2None
17YS jinganNone
18F15-1None
19ShanjinganM1E22(300−)
20LY jinganM7E4(500+)
21HP jinganNone
22FC-1M2E17(500+), M2E17(1000+)
23FC-2M4E7(500−)
24FC-3None
25FC-4M4E17(300+)
26FC-5M14E12(1300+)
Note: Special marker is denoted in SRAP primer pair code plus marker base pair in parentheses, + means the presence of the band, − absence of the band.
Table 7. The combinations of specific markers for kumquat identification.
Table 7. The combinations of specific markers for kumquat identification.
GenotypesCommon Specific MarkersCombination of Unique Markers
FC-3M3E17(180+) FC-1; FC-4; FC-5FC-1 M2E7(500+); FC-4 M4E17(300+); FC-5 M14E12(1300+)
ShouxingjuM18E22(300+) Wenzhouju; Sijiju; JinganzazhongWenzhouju M17E2(530−); Sijiju M4E12(1300−); JinganzazhongM1E22(250+)
NB luowenM10E7(850−) WZ Luofu; NB luofu; WenzhoujuWZ Luofu M10E7(320−); NB luofu M2E21(400−), M3E17(450+), M11E21(250+); Wenzhouju M17E2(530−)
WZ LuofuM10E7(320−) NB luofu; Wenzhouju; ShanjinganNB luofu M2E21(400−), M3E17(450+), M11E21(250+); Wenzhouju M17E2(530−); Shanjingan M1E22(300−)
Note: Special marker is denoted in SRAP primer pair code plus marker base pair in parentheses, + means the presence of the band, − absence of the band.
Table 8. Guangxi cultivars’ group-specific markers for identification.
Table 8. Guangxi cultivars’ group-specific markers for identification.
Group MarkersShared Genotypes withUnique Markers for Discrimination
M1E23(800−)NB jindan,
WZ luofu,
WZ jingdan
LY jingan
NB jindan M1E15(1800−), M3E17(250−)
WZ luofu M10E7(320−)
WZ jingdan M2E21(450+), M16E9(350−)
LY jingan M7E4(500+)
M7E4(1050+)NB jindan
NB luofu
WZ jingdan
LY jingan
NB jindan M1E15(1800−), M3E17(250−);
NB luofu M2E21(400−), M3E17(450+), M11E21(250+)
WZ jingdan M2E21(450+), M16E9(350−)
LY jingan M7E4(500+)
Note: Special marker is denoted in SRAP primer pair code plus marker base pair in parentheses, + means the presence of the band, − absence of the band.
Table 9. Genotype identification within Guangxi cultivars group.
Table 9. Genotype identification within Guangxi cultivars group.
Marker TypesGenotypesMarkers for Discrimination
Single markerGuijingan1M1E22(740−)
HP jinganM10E7(710−)
FY jinganM3E17(90−)
Bi/Tri- markersCM jingan + HP jinganM2E21(480−)
YS jingan + F15-1M14E12(760−)
Guijingan2 + YS jingan + HP jinganM14E12(700−)
No specific markerRA jingan
Note: Special marker is denoted in SRAP primer pair code plus marker base pair in parentheses, + means the presence of the band, − absence of the band.
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Liu, B.; Ding, P.; Ye, R.; Li, Y.; Ou, S.; Gentile, A.; Ma, X.; Deng, Z. Genetic Diversity Analysis of Guangxi Kumquat (Fortunella Swing) Germplasm Using SRAP Markers. Horticulturae 2023, 9, 689. https://doi.org/10.3390/horticulturae9060689

AMA Style

Liu B, Ding P, Ye R, Li Y, Ou S, Gentile A, Ma X, Deng Z. Genetic Diversity Analysis of Guangxi Kumquat (Fortunella Swing) Germplasm Using SRAP Markers. Horticulturae. 2023; 9(6):689. https://doi.org/10.3390/horticulturae9060689

Chicago/Turabian Style

Liu, Binghao, Ping Ding, Rongchun Ye, Yi Li, Shanhan Ou, Alessandra Gentile, Xianfeng Ma, and Ziniu Deng. 2023. "Genetic Diversity Analysis of Guangxi Kumquat (Fortunella Swing) Germplasm Using SRAP Markers" Horticulturae 9, no. 6: 689. https://doi.org/10.3390/horticulturae9060689

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