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. 2016 Jul 2;9:332. doi: 10.1186/s13104-016-2137-9

Novel microsatellite markers for Distylium lepidotum (Hamamelidaceae) endemic to the Ogasawara Islands

Kyoko Sugai 1,, Suzuki Setsuko 2
PMCID: PMC4930571  PMID: 27369764

Abstract

Background

Distylium lepidotum is a small tree endemic to the Ogasawara Islands located in the northwestern Pacific Ocean. This species is a sole food for an endemic locust, Boninoxya anijimensis. Here, we developed microsatellite markers to investigate genetic diversity and genetic structure and to avoid a genetic disturbance after transplantation to restore the Ogasawara Islands ecosystem.

Results

Microsatellite markers with perfect dinucleotide repeats were developed using the next-generation sequencing Illumina MiSeq Desktop Sequencer. Thirty-two primer pairs were characterized in two D. lepidotum populations on Chichijima and Hahajima Islands of the Ogasawara Islands. The number of alleles for the markers ranged from three to 23 per locus in the two populations. Expected heterozygosity per locus in each population ranged from 0.156 to 0.940 and 0.368 to 0.845, respectively.

Conclusions

These microsatellite markers will be useful for future population genetics studies of D. lepidotum and provide a basis for conservation management of the Ogasawara Islands.

Keywords: Distylium lepidotum, Next-generation sequencing, Ogasawara Islands, Population genetics, Simple sequence repeat

Findings

Background

Microsatellite markers, or simple sequence repeats, are widely applicable as DNA-based markers for population genetics studies. Moreover, their cost-effective development has been increasingly facilitated by applying next-generation sequencing (NGS) technologies [20].

Distylium lepidotum Nakai (Hamamelidaceae) is a small tree endemic to the oceanic Ogasawara Islands in the northwestern Pacific Ocean. The species is the dominant tree in the DistyliumPouteria dry scrub [18], which is inhabited by Boninoxya anijimensis Ishikawa, a locust recorded as a new genus and species [8]. The locust utilizes D. lepidotum as the sole food, i.e., it is monophagous [8, 9]. Although it is only distributed on Anijima Island of the Ogasawara Islands, it has been exposed to alien predatory species such as Anolis carolinensis. Conservation/benign introduction measures of B. anijimensis are needed on the Ogasawara Islands, except Anijima Island, to protect the B. anijimensis populations. As D. lepidotum is an essential food source, it may be possible to transplant the species. Therefore, it is important to reveal the genetic structure of the species to minimize any genetic disturbance due to the transplant. Here, we developed microsatellite markers to investigate the genetic diversity and structure in D. lepidotum.

Methods

Microsatellite markers were developed for D. lepidotum using an Illumina MiSeq Desktop Sequencer (Illumina, San Diego, CA, USA). Total genomic DNA was extracted from one silica-gel dried D. lepidotum leaf sample collected from Chibusayama (26°39′17.4″N 142°10′03.6″E) on Hahajima Island of the Ogasawara Islands using a DNeasy Plant Mini Kit (QIAGEN, Hilden, Germany). A shotgun library was prepared using the Nextera DNA Sample Preparation Kit v2 (Illumina), and the raw de novo sequencing data were obtained using the MiSeq Reagent Kit v2 (500 cycles) (Illumina). The raw reads were divided into each index, extra sequences (adapters and indices) were trimmed, and FASTAQ files were generated using the MiSeq Reporter v.2.5.1 (Illumina). The paired-end reads were merged using PEAR 0.9.6 [21] with default parameter settings. After the paired-end assembly, the low quality reads (<95 % with Phred quality score of 30) were removed using the script fastq_quality_filter included in the FASTX-Toolkit v.0.0.14 [7]. The resulting FASTQ files were converted to FASTA format using the ShortRead package [12]. A total of 1734,031 contigs with an average length of 241 bp were obtained.

The microsatellites were identified and the primer pairs were designed with QDD2.1 [11]. A total of 41,367 unique sequences containing pure/compound microsatellite regions (2–6 nucleotide motifs with >5 repeats) and primer-designable flanking regions were selected. The primer pairs were designed with Primer3 [17] and implemented in QDD2.1 using the following criteria: (1) polymerase chain reaction (PCR) product size of 90–500 bp and (2) primer lengths of 20–27 bp, melting temperature of 57–63° C, and GC content of 20–80 %. Finally, 18,239 microsatellite primer pairs were designed using Primer3.

Amplification and polymorphism were confirmed in 48 selected primer pairs after considering the microsatellites (one single dinucleotide motif with more than ten repetitions), design type (“A” or “B” in QDD2.1), and PCR product size to apply multiplex amplification (Table 1). Four universal primers with different fluorescent tags designed by Blacket et al. [1] were prepared, and the 5′ end of each forward primer was attached to the same sequence as a tail. In addition, as the 5′ end sequences of each reverse primer became 5′-GTTT-3′, a PIG-tail (5′-GTTT-3′, 5′-GTT-3′, 5′-GT-3′, or 5′-G-3′) was added to reduce stuttering due to inconsistent addition of adenine by Taq DNA polymerase [2].

Table 1.

Characteristics of the 32 microsatellite markers developed for Distylium lepidotum

Locus Repeat motif Forward primer sequence (5′–3′)a Reverse primer sequence (5′–3′)b Ta (°C) Size
range (bp)
GeneBank accession no.
Isu00524 (CT)30 [tail C] TTTATGCTTATTCACCCTTGAACC gtttAAACACCCATTAGTTCTTCTGTCTG 57 136–194 LC085250
Isu01062 (TC)25 [tail B] TACGAATGATGGGTCAAACTGTAA gtttGCCTTAAATTGACTGGAAGTGATT 57 228–270 LC085251
Isu01853 (AG)19 [tail D] CACTAGTTATTGAGGTAGGCGGGT gTTTGTTAACGAATGAGTTGGGATT 57 274–302 LC085252
Isu03838 (TC)24 [tail D] TTCCTGAAACGGTTACACAATACA gtttAGTGGAGATGATAAACGGATTGAC 57 111–135 LC085253
Isu04069 (GA)24 [tail B] TTAGATTTGAAGGCGATAAAGGTT gttTCCTTGATCTGTCCAATGTCA 57 135–171 LC085254
Isu04385 (TC)22 [tail A] AATGGGTCAGTGAGAATCTGTCTT gtttCAAGGAAATCGTATATGCAGAACA 57 215–245 LC085255
Isu04423 (GA)22 [tail B] AAGCAGAGCTTACCATGATTCACT gttTAGATCTCTGAGGAGGGACACATT 57 260–308 LC085256
Isu04472 (AG)26 [tail D] ATTTGGATCATCACTCGAGGTAAA gtTTATTCGTTTGCACTCTTATTTGA 57 214–266 LC085257
Isu04870 (CT)16 [tail B] TTAATTGGTTTCCCATTTGATCTC gtttCATGCAGATGCAGACTCTAAGAAG 57 285–299 LC085258
Isu04950 (GA)22 [tail A] AGACAATTCTGTGCTCCAGTATCA gtttAACATTGAAAGTTGAAGACCCAAC 57 263–299 LC085259
Isu04954 (TC)31 [tail A] CTAATCCAAATCAACCCATCTACG gtttCACCTCTCGTTTACTTCCATTGAT 57 128–156 LC085260
Isu05730 (AT)11 [tail A] ACATCGTCACCTCTATTAACCGAC gtttCAAGAGATTTCGAAGTGAAACAGA 57 346–366 LC085261
Isu06843 (AG)27 [tail B] GTTGACATCCCTACTCCTCCTACC gttTCTAAGCAAATGTGCATCGTTAGT 57 96–132 LC085262
Isu07049 (CT)26 [tail A] TCCATGTATTTATTTCGATCCTCC gtttGGGAAATACCATAAACATAAAGATGG 57 90–134 LC085263
Isu07063 (GA)24 [tail C] AGCTTGCATGAGGTTTCACTAAGA gtttCGACAACAGTACTAATCAACACGG 57 109–143 LC085264
Isu09807 (GA)23 [tail D] AACGCAAGATTTATCATTACCAGC gtttAAGACTCTCAAGATCTGTGCCAA 57 213–239 LC085265
Isu09853 (GA)22 [tail D] CAATTCCCTCAATTGTTGTTTCTT gtttAGAAACTTAAAGACAAACCGGGAT 57 304–326 LC085266
Isu10193 (GA)24 [tail B] ATTTATGTGGAAGTAGTAGCCGGA gttTACTGCTGGCTTGACATAGAAAGA 57 214–236 LC085267
Isu11459 (AG)19 [tail D] TAAAGCATCAAACAAGCGAATATG gtttACAATAAGAAAGCGACATGCTCA 57 265–291 LC085268
Isu12115 (GA)11 [tail A] TACGATTCAAGCTTGTCATACTCG gtttATATTTACGCGCAAACTCTCGC 57 413–417 LC085269
Isu12238 (CT)24 [tail D] CCAAGATTATGCAACCTAAGGAAG gtttACCCTGAATTCCATCTAGACCTTT 57 116–156 LC085270
Isu12265 (TC)21 [tail C] TGATAGATACATGTCCCACTGTCTT gttTAAACCTAGCCAAACAAATCCAAC 57 85–121 LC085271
Isu12586 (AT)11 [tail C] TAGACAACTTTCTGGATCAAAGCC gtttGGCTGTGTATATGTATGCGTGTTT 57 319–359 LC085272
Isu13849 (CT)12 [tail D] CAAGATCAAGATTGAAATGGAATTG gtttATCCGATAGATCAGTACTTGGTGG 57 326–350 LC085273
Isu13965 (AG)25 [tail B] GTGTAAGTTGTGGGTTTAACGGAT gtttAAGACATCAGCAAACTAGTCCACC 57 155–183 LC085274
Isu15054 (TC)24 [tail A] CGGGATGTAAACATAGATGTCAAA gttTATGGCCTAGGAAGATAATGTTGG 57 219–273 LC085275
Isu16246 (CT)26 [tail C] AATCATGTAGCGAGCTTGAACTTT gtttCATGAATATGAGCACAAGGTATTATTT 57 132–174 LC085276
Isu16408 (TC)18 [tail C] AGATTACTGCTTCGTTCGACCTTA gtTTGGTGCTATAATTAGGATTTGGC 57 285–307 LC085277
Isu16655 (CT)16 [tail C] GAAAGGTAGGTCCATAACTCCACA gtTTGAGGATACAATGCTTTCACTTG 57 270–290 LC085278
Isu16805 (GA)26 [tail B] CGCTCTTAAACAGAATATGGAAGG gtttGATTGTCAATTCCACGGAGAAC 57 83–115 LC085279
Isu17435 (AG)20 [tail B] TAAATACAAAGATGATGTGCCAGC gttTGTACATGTAGTTCCCAGGCAAT 57 82–114 LC085280
Isu17619 (AG)13 [tail A] CAATTCCCTTGTGAAGAATTATCG gtttGTTTACAGTACTGCACTGACGCAT 57 317–329 LC085281

Ta = annealing temperature

aTails of the forward primers are indicted as follows: [Tail A] = 5′-GCCTCCCTCGCGCCA-3′; [Tail B] = 5′-GCCTTGCCAGCCCGC-3′; [Tail C] = 5′-CAGGACCAGGCTACCGTG-3′; and [Tail D] = 5′-CGGAGAGCCGAGAGGTG-3′

bReverse primer sequences contained the PIG-tail sequence [2]. Tail sequences are shown in lower case letters

PCR amplification was performed using the QIAGEN Multiplex PCR Kit. Multiplex PCRs were performed for each of the four primer pair sets using the following thermal cycle conditions: initial denaturation for 15 min at 95° C, 35 cycles of denaturation for 30 s at 95° C, annealing for 1.5 min at 57° C, extension for 1 min at 72° C, and final extension for 30 min at 60° C. The PCR products were separated by capillary electrophoresis on an ABI3130 Genetic Analyzer (Life Technologies, Waltham, MA, USA) with the GeneScan 600 LIZ Size Standard (Life Technologies). The fragments were sized using GeneMapper 4.0 (Life Technologies).

We finally tested two populations from Chichijima and Hahajima Islands in the central part of the Ogasawara Islands to evaluate the allelic polymorphisms: 24 individuals from Asahiyama (27°05′40.7″N 142°12′35.6″E) on Chichijima Island and 20 individuals from Omotohama (26°37′28.9″N 142°10′41.7″E) on Hahajima Island. Voucher specimens of the representative individuals were deposited in the Makino Herbarium (MAK) of the Tokyo Metropolitan University, Japan (Asahiyama: no. MAK436933; Omotohama: no. MAK436934). The number of alleles per locus (NA), observed heterozygosity (HO), expected heterozygosity (HE), and fixation index (FIS) were calculated to characterize each locus using GenAlEx 6.501 [13]. The Hardy–Weinberg equilibrium (HWE) at each locus of each population and linkage disequilibrium (LD) between each locus pair in each population were tested with Genepop 4.0 [16]. In addition, the null allele frequencies (FNull) were estimated with CERVUS 3.07 [10]. To examine genetic differentiation between the two populations, Weir and Cockerham’s [19] estimate of pairwise FST was calculated using FSTAT 2.9.3.2 [6]. The deviation of each pairwise FST from zero was tested based on 1000 randomizations. Genetic structure was also evaluated by a Bayesian clustering method implemented in STRUCTURE 2.3.4 [4, 5, 15]. Markov chain Monte Carlo methods consisted of 100,000 burn-in steps and followed by 100,000 iterations. Ten replicate runs were performed at each K value from one to five under an admixture model with correlated allele frequencies. The log-likelihood probability at each run and the rate of change in the log-likelihoods between adjacent K values, ΔK [3], were calculated and compared across a range of K values to determine the best fit for the data.

Results and discussion

Of the 48 tested microsatellite markers, 32 primer pairs were polymorphic among 44 individuals (Table 1). NA ranged from three to 22 alleles in the Chichijima population and from one to nine alleles in the Hahajima population (Table 2). HE ranged from 0.156 to 0.940 in the Chichijima population and from 0.368 to 0.845 in the Hahajima population (Table 2). Locus Isu07063 in the Hahajima population was monomorphic; only one allele was found in six samples, and the remaining 14 samples were not successfully amplified, suggesting the existence of null alleles. In addition, FNull was high (Table 2). The Isu00524 locus in both populations deviated significantly from HWE. Significant deviations from HWE in the Chichijima or Hahajima populations were detected at several loci (Table 2; Isu04069, Isu07049, Isu10193, Isu12265, Isu15054, and Isu16805). These loci possibly involved null alleles, because null alleles are a common cause of apparent deviations from HWE [14]. Actually, FNull values were high in most of these loci (Table 2). However, these HWE deviations may have been caused by inbreeding, which can often occur in small populations. In either case, these loci should be used cautiously in further analyses. No significant LD was observed between the markers in the two populations.

Table 2.

Genetic diversity of the 32 microsatellite markers in the two Distylium lepidotum populations

Locus Chichijima Island Hahajima Island F Null
N N A H O H E F IS a N N A H O H E F IS a
Isu00524 22 5 0.182 0.381 0.523* 20 5 0.450 0.650 0.308* 0.265
Isu01062 24 19 0.917 0.925 0.009 20 9 0.850 0.829 −0.026 0.018
Isu01853 24 12 0.875 0.891 0.018 20 8 0.750 0.836 0.103 0.038
Isu03838 24 8 0.625 0.800 0.219 20 6 0.700 0.749 0.065 0.116
Isu04069 24 9 0.375 0.793 0.527*** 20 6 0.550 0.551 0.002 0.249
Isu04385 24 14 0.917 0.884 −0.037 20 7 0.950 0.788 −0.206 −0.032
Isu04423 24 16 0.750 0.844 0.111 20 8 0.850 0.826 −0.029 0.045
Isu04472 24 18 0.958 0.913 −0.049 20 6 0.600 0.613 0.020 0.026
Isu04870 24 4 0.833 0.702 −0.187 20 4 0.700 0.638 −0.098 −0.057
Isu04950 24 7 0.625 0.661 0.055 20 9 0.950 0.830 −0.145 0.050
Isu04954 24 7 0.583 0.582 −0.003 20 5 0.750 0.678 −0.107 0.032
Isu05730 24 8 0.833 0.816 −0.021 20 6 0.800 0.771 −0.037 −0.004
Isu06843 24 14 0.875 0.886 0.013 20 8 0.900 0.805 −0.118 −0.004
Isu07049 24 15 0.833 0.917 0.091 20 8 0.550 0.746 0.263* 0.109
Isu07063 17 9 0.235 0.843 0.721*** 6 1 0.659
Isu09807 24 13 0.750 0.788 0.048 20 5 0.850 0.726 −0.170 −0.001
Isu09853 24 7 0.625 0.787 0.206 20 8 0.700 0.756 0.074 0.112
Isu10193 24 9 0.750 0.848 0.116 20 7 0.400 0.770 0.481** 0.174
Isu11459 24 8 0.625 0.500 −0.250 20 4 0.400 0.368 −0.088 −0.104
Isu12115 24 3 0.333 0.588 0.433 20 3 0.700 0.609 −0.150 0.141
Isu12238 24 12 0.958 0.858 −0.117 20 7 0.600 0.693 0.134 0.019
Isu12265 24 13 0.583 0.845 0.310** 20 7 0.800 0.800 0.000 0.126
Isu12586 24 14 0.875 0.862 −0.015 20 9 0.650 0.769 0.154 0.051
Isu13849 24 9 0.875 0.780 −0.122 20 4 0.500 0.524 0.045 −0.014
Isu13965 24 12 0.875 0.885 0.012 20 6 0.800 0.769 −0.041 0.010
Isu15054 24 22 0.833 0.940 0.114* 20 8 0.800 0.845 0.053 0.060
Isu16246 24 12 0.667 0.840 0.207 20 9 0.800 0.836 0.043 0.087
Isu16408 24 9 0.917 0.842 −0.089 20 7 0.600 0.578 −0.039 0.046
Isu16655 24 10 0.667 0.789 0.155 20 7 0.750 0.800 0.063 0.073
Isu16805 24 11 0.500 0.857 0.416* 20 8 0.500 0.701 0.287 0.284
Isu17435 24 12 0.833 0.838 0.005 20 6 0.800 0.703 −0.145 0.014
Isu17619 24 3 0.167 0.156 −0.067 20 3 0.600 0.496 −0.209 −0.047
Average 10.8 0.695 0.776 0.105 6.4 0.675 0.689 0.016

N = number of genotyped individuals; N A = number of alleles per locus; H O = observed heterozygosity; H E = expected heterozygosity; F IS = fixation index; F Null = null allele frequency

a Asterisks indicate significant deviation from Hardy–Weinberg equilibrium after Bonferroni correction (* P < 0.05, ** P < 0.01, *** P < 0.001)

Of all the 397 alleles that were detected, the 193 alleles which were detected in the Chichijima population were not found in the Hahajima population. On the other hand, the 53 alleles which were detected in the Hahajima population were not found in the Chichijima population. In addition, the two populations were significantly differentiated (FST = 0.0971). The Bayesian clustering analysis represented the highest ΔK value at K = 2 (ΔK = 121.4; Appendix). The Chichijima population was almost entirely composed of the cluster I (dark gray); the Hahajima population generally comprised the cluster II (light gray) (Fig. 1). However, because admixture was observed in some individuals of the Hahajima population, the infrequent gene flow between islands might occur. These data indicated that these markers can be used to analyze population genetic structure in the future.

Fig. 1.

Fig. 1

Results of Bayesian clustering, STRUCTURE, at K = 2 of the two Distylium lepidotum populations. Vertical columns represent individual plants, and the heights of bars of each color are proportional to the posterior means of estimated admixture proportions. For population localities, see Table 1

Conclusions

These 32 novel microsatellite markers will be valuable for elucidating the genetic diversity and structure of D. lepidotum, since they have enough polymorphisms and they can clearly distinguish the two populations. The genetic data would be useful to investigate the genetic diversity and structure of D. lepidotum which is necessary for a food source of the endangered locust species on the Ogasawara Islands.

Authors’ contributions

KS performed field sampling, laboratory work, data analysis and marker validation, and drafted the manuscript. SS did the study design, performed field sampling and laboratory work. Both authors read and approved the final manuscript.

Acknowledgements

The authors thank A. Hisamatsu, Y. Kawamata, and other members of the Laboratory of Ecological Genetics and Tree Genetics of the Forestry and Forest Products Research Institute for their technical support. We are grateful to T. Yasui, Y. Hoshi, and other members of the Ogasawara Wild Life Research Society for collecting the plant samples. This study was financially supported by the Environment Research and Technology Development Fund of the Ministry of the Environment, Japan (4-1402).

Competing interests

The authors declare that they have no competing interests.

Availability of the supporting data

The sequences containing microsatellite motifs are available through the DNA Data Bank of Japan (http://www.ddbj.nig.ac.jp/index-e.html); GenBank accession numbers see Table 1.

Abbreviations

FIS

fixation index

FNull

null allele frequency

HE

expected heterozygosity

HO

observed heterozygosity

HWE

Hardy–Weinberg equilibrium

LD

linkage disequilibrium

NA

number of alleles per locus

NGS

next-generation sequencing

PCR

polymerase chain reaction

Appendix

See Fig. 2.

Fig. 2.

Fig. 2

Results of Bayesian clustering, STRUCTURE, of the two Distylium lepidotum populations. a Changes in the log-likelihood, b ΔK as the number of clusters (K ranging from one to five)

Contributor Information

Kyoko Sugai, Email: sugaikyoko15@gmail.com.

Suzuki Setsuko, Email: setsukos@affrc.go.jp.

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