Shipeng Li 1, Mingxin Guo 1, Pengcheng Fu 1, Hongxia Liu 1, Xusheng Zhao Corresp Luoyang Normal University, Luoyang, Henan, China

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Genetic diversity and population structure of Chinese jujube (Ziziphus jujuba Mill.) and sour jujube (Ziziphus acidojujuba Mill.) using inter-simple sequence repeat (ISSR) Markers Shipeng Li 1, Mingxin Guo 1, Pengcheng Fu 1, Hongxia Liu 1, Xusheng Zhao Corresp. 1 1 Luoyang Normal University, Luoyang, Henan, China Corresponding Author: Xusheng Zhao Email address: xushengzhao2018@126.com The Chinese jujube (Ziziphus jujuba Mill.) originates from sour jujube (Ziziphus acidojujuba Mill.) and is an economically important genus in the Rhamnaceae family. However, little is known about the genetic relationship between jujube cultivars and wild species. In this study, we estimated the genetic variation and relationships between 85 jujube cultivars and 55 sour jujube individuals by ISSR markers. Of 216 ISSR primers, 110 were able produce amplified product(s) and 28 showed polymorphisms, accounting for 50.9% and 25.5% of total primers respectively. A total of 89 loci were amplified with 28 primers, of which 42 loci (47.2%) were polymorphic, and most of primers exhibited highly PIC values. Cluster analysis and population structure analysis roughly divided the 140 accessions into two major groups. One group included all jujube cultivars and some sour jujube individuals, and the other group included remaining sour jujube individuals. Most jujube cultivars have a certain correlation with their origin, and there are obvious gene exchanges between sour jujube and jujube cultivars. The results provide a useful basis for jujube germplasm conservation, genetic improvement and evolution research.

1 Genetic Diversity and Population Structure of Chinese Jujube (Ziziphus 2 jujuba Mill.) and Sour Jujube (Ziziphus acidojujuba Mill.) using Inter-simple 3 Sequence Repeat (ISSR) Markers 4 5 Shipeng Li1 &, Mingxin Guo &, Pengcheng Fu, Hongxia Liu, Xusheng Zhao 6 College of Life Science, Luoyang Normal University, Luoyang, Henan, China 7 & These authors contributed equally to this work. 8 9 Corresponding Author : 10 Xusheng Zhao 11 12 E-mail address: xushengzhao2018@126.com 13 14 15 16 17 18

19 20 Abstract 21 The Chinese jujube (Ziziphus jujuba Mill.) originates from sour jujube (Ziziphus acidojujuba 22 Mill.) and is an economically important genus in the Rhamnaceae family. However, little is 23 known about the genetic relationship between jujube cultivars and wild species. In this study, we 24 estimated the genetic variation and relationships between 85 jujube cultivars and 55 sour jujube 25 individuals by ISSR markers. Of 216 ISSR primers, 110 were able produce amplified product(s) 26 and 28 showed polymorphisms, accounting for 50.9% and 25.5% of total primers respectively. A 27 total of 89 loci were amplified with 28 primers, of which 42 loci (47.2%) were polymorphic, and 28 most of primers exhibited highly PIC values. Cluster analysis and population structure analysis 29 roughly divided the 140 accessions into two major groups. One group included all jujube 30 cultivars and some sour jujube individuals, and the other group included remaining sour jujube 31 individuals. Most jujube cultivars have a certain correlation with their origin, and there are 32 obvious gene exchanges between sour jujube and jujube cultivars. The results provide a useful 33 basis for jujube germplasm conservation, genetic improvement and evolution research. 34 35 Keywords Ziziphus jujuba Mill, Ziziphus acidojujuba Mill, ISSR, Genetic diversity, Population 36 structure 37

38 39 40 Introduction 41 Chinese jujube (Ziziphus jujuba Mill.) and sour jujube (Ziziphus acidojujuba Mill.) belong to the 42 family Rhamnaceae. Chinese jujube (hereafter referred to as jujube) is an economically and 43 ecologically important species that is a popular fruit tree in Asia (Qu & Wang, 1993). According 44 to archaeological evidence, jujube, which has been cultivated for more than 3,000 years, 45 originated in China (Qu & Wang, 1993; Liu, 2003; Liu & Wang, 2009; Li et al., 2013). As one 46 of the oldest cultivated fruit trees, the germplasm resources of jujube are abundant, with more 47 than 900 cultivars reported thustable far (Liu & Wang, 2009). Jujube fruits have high nutritional 48 value and a long history of usage as an edible fruit and in herbal medicine, and constitute a rich 49 source of vitamin C, camp, flavonoids, triterpenic acids, and polysaccharides (Gao et al., 2013). 50 Recent phytochemical and pharmacological studies have revealed that the main biologically 51 active components of jujube fruits are beneficial to the human health (Choi et al., 2012; Chen et 52 al., 2017a). Sour jujube, also known as wild jujube, is another important species that is regarded 53 as the wild ancestor of jujube. It is widely planted as the rootstock for jujube and its seeds have 54 high medicinal value (Qu & Wang, 1993; Liu & Wang, 2009; Islam et al., 2006; Zhang et al., 55 2015a). Research on the genetic diversity and phylogenetic relationships of jujube is beneficial 56 for jujube breeding and will help to elucidate the evolutionary history of jujube. 57 With the development of molecular biology theory and technology, the genetic diversity and

58 genetic structure of jujube have been studied using molecular markers, including amplified 59 fragment length polymorphism (AFLP), chloroplast microsatellite (cpssr), random amplified 60 polymorphic DNA (RAPD), sequence-related amplified polymorphisms (SRAPs), simple 61 sequence repeat (SSR), single nucleotide polymorphism (SNP), and so on (Peng et al., 2000; Bai, 62 2008; Ma et al., 2011; Soliman et al., 2013; Li et al., 2014; Wang et al., 2014; Xie, 2014; Huang 63 et al., 2015; Xiao et al., 2015; Zhang et al., 2015c; Fu et al., 2016; Xu et al., 2016; Chen et al., 64 2017b). For example, 30 main cultivars were divided into six groups based on AFLP analysis 65 (Xie, 2014). The genetic diversity of 76 jujube cultivars was analyzed using 31 SSR markers, 66 and the cultivars were divided into three main groups based on cluster analysis (Wang et al., 67 2014). One hundred and fifty accessions were clustered into two groups by STRUCTURE 68 Software 2.3.4 (http://web.stanford.edu/group/pritchardlab/structure.html) and principal 69 coordinate analyses (PCoA, https://www.xlstat.com/en/ solutions/features/ principal-coordinate- 70 analysis) based on SNPs (Chen et al., 2017b). However, only a few studies involving the genetic 71 diversity and genetic structure of sour jujube and the genetic relationship between jujube and 72 sour jujube have been reported (Huang et al., 2015; Zhang et al., 2015a). 73 The inter simple sequence repeat (ISSR) technique is a polymerase chain reaction (PCR)- 74 based method that involves the amplification of regions between adjacent, inversely oriented 75 microsatellites using single sequence repeats, usually 16-25 bp long, as primers (Zietkiewicz et 76 al., 1994). It is a rapid, simple, and inexpensive way to study genetic diversity, phylogeny, and 77 evolutionary biology (Reddy et al., 2002). The jujube genome contains high-density simple

78 sequence repeats (Liu et al., 2014); therefore, it is suitable for genetic diversity analysis using 79 ISSR markers. In the present study, the genetic diversity and population structure of 85 jujube 80 cultivars and 55 sour jujube individuals were analyzed by ISSR markers. The results revealed the 81 level of genetic diversity in the collections and the genetic relationships between jujube and sour 82 jujube. 83 Materials & Methods 84 Plant materials 85 In total, 140 samples included 85 cultivars from Chinese jujube and 55 individuals from sour 86 jujube (Table S1). These materials were planted in jujube germplasm resources of Luoyang 87 Normal University (Luoyang, Henan), which were acquired with permissions from the National 88 Chinese Jujube Germplasm Repository (Taigu, Shanxi), the National Foundation for Improved 89 Cultivar of Chinese Jujube (Cangzhou, Hebei) and the Xinzheng Jujube Academy of Science 90 (Xinzheng, Henan). Fresh young leaves for each accession were collected in May 2017, brought 91 back to the laboratory in an ice box, and stored at -70 C freezer for further analysis. 92 Genomic DNA Extraction and PCR Analysis 93 Genomic DNA was extracted using a modified CTAB method (Lian et al., 2006). The DNA 94 quality was assessed using a NanoDrop2000 and the DNA was diluted to 50 ng/μl. Sequences of 95 216 ISSR primers were obtained from the Biotechnology Laboratory at the University of British 96 Columbia (Vancouver, Canada) (Table S2). Polymerase chain reaction (PCR) was performed in

97 a 10 μl reaction mixture containing 2.0 μl of template DNA, 0.4 μl of primers (10 μm), 0.8 μl 98 of dntp (2.5 mm), 1.0 μl of 10 Buffer, 0.2 μl of Taq DNA Polymerase (Solarbio, Beijing, 99 China), and 5.6 μl of deionized water. PCR amplifications were performed in 96-well plates on 100 a 2720 Thermal Cycler (Applied Biosystems, Foster City, CA, USA) under the following 101 conditions: 94 C C for 3 min; 35 cycles at 94 C for 30 s, 40-60 C (melting temperature depends 102 on the primer sets as listed in Table S2) for 30 s, and 72 C for 1.5 min; and a final extension at 103 72 C for 10 min. The amplified products were separated by electrophoresis on 2.0% (w/v) 104 agarose gels under UV light. 105 Genetic diversity analysis 106 Based on the relative position of the ISSR amplification product on the agarose gel, the presence 107 and absence of bands at the same position were scored as "1" and "0", respectively. The 108 following parameters were calculated using GenALEx 6.5 (Peakall & Smouse, 2012): the 109 number of different alleles (Na), the effective number of alleles (Ne), the Shannon index (I), and 110 the polymorphic information content (PIC). 111 The cluster analysis was performed using the sequential, agglomerative, hierarchical, and 112 nested clustering (SAHN) module and the unweighted pair-group method arithmetic average 113 (UPGMA) method of NTSYS-pc 2.10e software, and a cluster plot was generated by the Tree 114 plot module (Rohlf, 1998). 115 Population structure analysis

116 A Bayesian clustering analysis was implemented in Structure 2.3.4 (Falush et al., 2003; Hubisz et 117 al., 2009) to evaluate population genetic structure. An admixture model and correlated allele 118 frequencies were applied to estimate the ancestry fractions of each cluster attributed to each 119 accession. For each value of K (range 1-25), 10 independent runs were performed with a burn-in 120 period of 100,000 followed by 1,000,000 MCMC repetitions. Parameters were set to default 121 values, and all accessions were considered to have unknown origins. The delta K method 122 (Evanno et al., 2005) was implemented in Structure Harvester program (Earl & Vonholdt, 2012) 123 to determine the most probable K-value. The accessions with membership probabilities 0.50 124 were considered to belong to the same group (Chen et al., 2017). A principal coordinate analysis 125 (PCoA), based on the standardized covariance of genetic distances was performed using 126 GenAlEx v 6.5. 127 Results 128 Detection of Polymorphisms 129 All 216 of the ISSR primers were evaluated for successful PCR amplification by testing three 130 accessions. Among them, 110 primers (50.9%) successfully amplified at least one clear and 131 stable fragment from the jujube and sour jujube genome. To test the polymorphism of the 110 132 ISSR primers, 12 jujube cultivars and 12 sour jujube individuals were further analyzed. Of the 133 110 ISSR primers, 28 primers (25.5%) were polymorphic (Fig. 1) and produced a total of 89 134 DNA fragments (Table 1). The number of amplified fragments varied from 2 to 6 with an 135 average of 3.19 amplicons per primer, and their sizes ranged between 200 and 1,500 bp (Table 1).

136 The polymorphism per primer ranged from 16.7 (ISSR60) to 100% (ISSR-11 and ISSR-13) and 137 the average number of polymorphic bands per primer was 1.5 (Table 1). Based on genetic 138 variation standards (BOTSTEIN et al., 1980), the polymorphism information content (PIC) 139 values ranged from 0.168 to 0.777, and most of the primers exhibited high PIC values (Table 1). 140 Thus, our results indicated that ISSR markers could be used to assess the genetic diversity and 141 population structure in these germplasms. 142 Genetic Diversity and Cluster Analysis 143 To examine the genetic diversity of 140 accessions in detail, we calculated their genetic 144 relationships using Unweighted Pair Group Method and Arithmetic Mean (UPGMA) cluster 145 analysis. Based on the unweighted neighbor-joining clustering, 140 accessions were divided into 146 two major groups (Fig. 2). 147 Group I (G1) contained all of the jujube cultivars and seven sour individuals, and could be 148 further divided into four subgroups. The subgroups I (G1-I), III (G1-III), and IV (G1-IV) 149 included three jujube cultivars and two sour jujube individuals; two jujube cultivars and one sour 150 jujube individual; and one jujube cultivar and two sour jujube individuals, respectively. 151 Subgroup II (G1-II) included the vast majority of the jujube cultivars and one sour jujube 152 individual, and could be further divided into three clusters. The 41 cultivars in cluster I (C1) 153 mainly originated from northwest China; the 18 cultivars in cluster II (C2) mainly originated 154 from eastern China; and the 14 cultivars in cluster III (C3) mainly originated from central China. 155 Group II (G2) contained the other sour jujube individuals, and could be further divided into four

156 subgroups. These four subgroups (G2-I-IV) included 27, 16, four, and one individuals, 157 respectively. The results showed that the genetic relationships among the different jujube 158 varieties correlated somewhat with the origin of the variety, but there was no significant 159 correlation with the variety use (Fig.2 and Table S1). 160 Population Structure 161 Based on the ISSR analysis data obtained above, we used STRUCTURE 2.3.4 software 162 (Jakobsson et al., 2007) to analyze the population structure of the jujube and sour jujube 163 accessions. The mean LnP(K) values for the different Ks ranged from one to 25, and exhibited a 164 rapid incremental trend before reaching a peak value at K = 2. After K = 2, the mean LnP(K) 165 values gradually increased to K = 25, but variation was observed among the replicate runs. 166 Furthermore, our results showed that the highest value of K was observed for K = 2, where all 167 of the accessions could be roughly divided into two major clusters (Fig. 3). Using a membership 168 probability threshold of 0.6 (Chen et al., 2012), 94 accessions were assigned to group I, which 169 contained 85 jujube cultivars and nine sour jujube individuals. The remaining 46 sour jujube 170 individuals were assigned to group II (Fig. 4 and Table S3). 171 Statistical analysis indicated that the majority of accessions showed strong membership 172 values (Table S4). In group I, 71 accessions (75.5%), including 68 jujube cultivars and three sour 173 jujube individuals, demonstrated shared ancestry. Similarly, 37 individuals (80.4%) had a high 174 proportion of membership in group II. The other accessions showed mixed ancestry from both 175 groups.

176 PCoA also roughly divided the 140 accessions into two clusters (Fig. 5), which was 177 consistent with the assignments generated by UPGMA clustering (Fig. 2) and population 178 structure analysis (Fig. 4). The majority of sour jujube accessions belonging to cluster I were 179 distributed in the left half of the resulting plot. The rest of the sour jujube and all of the jujube 180 accessions belonging to cluster II were distributed in the right of the plot. The distribution of 181 cluster I was more widely scattered than cluster II, indicating that sour jujube had higher 182 diversity than the jujube cultivars. 183 Discussion 184 Numerous studies over the past few decades have focused on elucidating the complex genetic 185 relationships among different jujube varieties. In the present study, the genetic diversity of a 186 wide variety of jujube germplasm resources was evaluated, which provides an important 187 scientific basis for the efficient use of these germplasms. 188 Twenty-eight ISSR markers were used in this study to analyze the genetic diversity of 85 189 jujube and 55 sour jujube accessions. The results showed that the Shannon's Information Index (I: 190 0.492) and marker diversity (90.48%) of sour jujube were both higher than in jujube (Table S5). 191 One probable explanation is that the genetic diversity of the jujube varieties has been reduced as 192 a result of long-term evolution and artificial domestication. 193 Morphological, biological, and cytological evidence indicates that sour jujube is a wild 194 species of jujube and that jujube is derived from sour jujube. Zhang et al. (2015b) used seven 195 SSR makers to classify 17 sour jujubes and 16 jujube varieties into wild, semi-wild, and cultivar

196 species, with frequent genetic exchanges observed among the three groups. Huang et al. (2015) 197 used chloroplast microsatellite (cpssr) markers to analyze jujube, sour jujube, and Indian jujube. 198 The results also showed that a genetic exchange existed between sour jujube and jujube. In this 199 study, the cluster analysis showed that there were obvious genetic clusters between sour jujube 200 and jujube, but some of the sour jujube individuals had a closer genetic relationship with the 201 jujube cultivars. Therefore, we divided the 140 samples into wild, semi-wild, and cultivar species 202 (Fig. 2). Population structure analysis showed that there was gene flow between the sour jujube 203 and jujube varieties (Fig. 4). Our results validated previous research results and provided 204 molecular biological evidence for the cultivation of jujube from sour jujube. 205 Previous studies have shown that the genetic relationships between different jujube varieties 206 correlate, to an extent, with the origin of the variety (Liu et al., 2016). The genetic variation of 207 jujube mainly emanates from intra-population variation, and the contribution rate from among- 208 population variation is low. Among the 85 jujube varieties used in this study, four accessions 209 with a Q-value of less than 0.6 accounted for only 4.7%, and most of the species had a single 210 kinship (Q 0.8), which indicated that the majority of the varieties are dominated by intra- 211 population or intra-geographic variation (Table S6). The above results indicate that the existing 212 germplasm resources of jujube may originate from different regions. Frequent gene exchange 213 and recombination have occurred among the intraspecific cultivars during the evolution of the 214 species, resulting in a more varied population structure composition. 215 Genome sequencing showed that the jujube genome contains a very high density of SSRs.

216 The SSR repeats exhibited a strong bias toward A/T, AT/TA, and AAT/ATT motifs, whereas 217 C/G and CG/CG motifs were present at very low levels (Xiao et al., 2015; Fu et al., 2016). 218 Interestingly, the analysis of SSR and ISSR markers showed that AG/GA, CT/TC, and AC/CA 219 repeat motifs had high amplification efficiency, while A/T, AT/TA, and AAT/ATT repeat motifs 220 had low amplification efficiency. The SSRs in our study included 10 AG/GA-, eight CT/TC-, 221 four GT/TG-, and three AC-type primers, which respectively corresponded to 35.7%, 28.6%, 222 14.3%, and 10.7% of the total SSRs (Table 1). The above results indicate that the simple 223 sequence repeats in the jujube genome are dominated by A/T, AT/TA, and AAT/ATT repeat 224 motifs, but the polymorphic sites are mainly AG/GA, CT/TC, and AC/CA repeat motifs. 225 Therefore, using AG/GA, CT/TC, and AC/CA repeats in primer design could greatly improve 226 primer screening efficiency. This should inform future genetic diversity analyses and the 227 molecular breeding of jujube. 228 Conclusions 229 In this study, 28 polymorphic ISSRs were obtained using 85 jujube cultivars and 55 sour jujube 230 individuals. By analyzing the genetic diversity and population structure, we concluded that 231 jujube and sour jujube have a closely genetic relationship and most jujube cultivars have a 232 certain correlation with their origin. These results will provide reliable and efficient genetic 233 information for the study of jujube genetic relationship and new variety selection. 234 Acknowledgments 235 We thank Prof. Dengke Li at the National Chinese Jujube Germplasm Repository for help in

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Figure 1 Amplification products from 12 jujube cultivars and 12 sour jujube individuals using the ISSR-25 primer. M: D2000 plus DNA Ladder (Solarbio, Beijing, China).

Figure 2 Dendrogram of 140 accessions based on 28 ISSR primers.

Figure 3 STRUCTURE estimation of the number of populations for K values ranging from 1 to 25, by delta K (ΔK) values.

Figure 4 Population structure (K = 2) of 140 accessions.

Figure 5 The principal coordinate analysis (PCA) of 140 accessions using ISSR primers.

Table 1(on next page) The 28 ISSR primers selected for this study.

1 Table 1. The 28 ISSR primers selected for this study Primer name Primer Annealing temperature ( C) Allele range (bp) Total no. of bands No. of polymorphic bands PIC ISSR11 GAGAGAGAGAGAGAGAC 50 550-600 2 2 0.684 ISSR13 CTCTCTCTCTCTCTCTT 50 700-800 2 2 0.507 ISSR22 TCTCTCTCTCTCTCTCA 50 700-900 2 1 0.396 ISSR23 TCTCTCTCTCTCTCTCC 50 600-1,000 3 1 0.436 ISSR25 ACACACACACACACACT 50 650-950 5 3 0.771 ISSR27 ACACACACACACACACG 50 450-950 3 2 0.722 ISSR40 AGAGAGAGAGAGAGAGTT 55 500-750 2 1 0.382 ISSR43 AGAGAGAGAGAGAGAGTC 55 350-600 5 3 0.777 ISSR46 AGAGAGAGAGAGAGAGTA 55 400-750 3 2 0.693 ISSR47 AGAGAGAGAGAGAGAGGA 55 550-1,500 4 2 0.678 ISSR48 AGAGAGAGAGAGAGAGCA 55 350-1,500 3 1 0.426 ISSR55 GAGAGAGAGAGAGAGATT 55 200-400 2 2 0.639 ISSR57 GAGAGAGAGAGAGAGACT 55 200-350 2 1 0.311 ISSR60 GAGAGAGAGAGAGAGACC 55 200-500 6 1 0.235 ISSR63 GAGAGAGAGAGAGAGACG 55 250-600 4 1 0.414 ISSR66 CTCTCTCTCTCTCTCTAC 55 550-700 2 2 0.64 ISSR68 CTCTCTCTCTCTCTCTAG 55 600-1,500 2 1 0.414 ISSR69 CTCTCTCTCTCTCTCTGG 55 250-500 5 1 0.235 ISSR81 GTGTGTGTGTGTGTGTCC 55 200-1,500 5 1 0.467 ISSR82 GTGTGTGTGTGTGTGTTG 55 300-1,000 3 1 0.275 ISSR88 TCTCTCTCTCTCTCTCGT 55 300-1,000 3 1 0.168 ISSR89 TCTCTCTCTCTCTCTCAG 55 300-700 6 2 0.629 ISSR95 ACACACACACACACACGA 55 600-1,500 2 1 0.402 ISSR103 TGTGTGTGTGTGTGTGGC 55 400-500 2 1 0.488 ISSR105 TGTGTGTGTGTGTGTGGA 55 400-700 2 1 0.496 ISSR121 GATAGATAGACAGACA 50 350-750 3 2 0.733

2 ISSR124 CTTCACTTCACTTCA 50 400-750 3 2 0.628 ISSR126 GGGTGGGGTGGGGTG 55 550-700 3 1 0.467 Total 89 42 Average 3.19 1.5 0.504