Genes & Genetic Systems
Online ISSN : 1880-5779
Print ISSN : 1341-7568
ISSN-L : 1341-7568
Short communication
Development and characterization of nuclear microsatellite markers to reveal the neutral demographic background of flower color polymorphism in Geranium thunbergii (Geraniaceae)
Seikan Kurata Shota SakaguchiHitomi MishimaTakashi TsuchimatsuMotomi Ito
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2021 Volume 96 Issue 2 Pages 99-104

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ABSTRACT

Nuclear microsatellite markers were developed for Geranium thunbergii, an herbaceous plant characterized by petal color polymorphism. Utilizing RNA sequencing data obtained by next-generation sequencing techniques, we developed and characterized 19 polymorphic microsatellite markers with two to 12 alleles in the nuclear genome. These markers will be used to reveal the genetic structure and demographic history of G. thunbergii in the Japanese archipelago, which will elucidate the genetic background of flower color polymorphism among populations.

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Plants are often characterized by petal color variation within and among populations; this phenomenon is defined as flower color polymorphism. Flower color polymorphism has long been of interest to ecologists and evolutionists (Darwin, 1862; Forsman, 2016). For species with intraspecific floral color variation [e.g., Antirrhinum majus L. (Plantaginaceae), Aquilegia coerulea E. James (Ranunculaceae), Dactylorhiza sambucina (L.) Soó (Orchidaceae), Lysimachia arvensis (L.) U. Manns & Anderb. (Primulaceae) and Raphanus sativus L. (Brassicaceae)], the mechanisms underlying the maintenance of floral diversity have been rigorously investigated (Gigord et al., 2001; Jones and Reithel, 2001; Arista et al., 2013; McCall et al., 2013; Thairu and Brunet, 2015). Based on these investigations, biotic and abiotic elements (e.g., negative frequency-dependent selection, pollinator preference and temperature) are suggested to be important determinants of flower color polymorphism (Narbona et al., 2018). Selectively neutral factors, i.e., genetic drift and gene flow, have also been implicated in the maintenance of flower color polymorphism (Wright, 1978; Narbona et al., 2018). Therefore, it is important to evaluate the relative contributions of different evolutionary forces in maintaining floral color polymorphism within and among populations.

Geranium thunbergii Siebold ex Lindl. & Paxton (Geraniaceae) is a perennial herb distributed throughout the Japanese archipelago. The habitats of this species are lowland forest edges and grassy areas. The species shows a geographic cline in floral color: individuals having purple petals (i.e., purple flowers) are distributed on the western side of the Japanese archipelago, while those having white or pale pink petals (i.e., considered as “white flowers”) are distributed on the eastern side (Akiyama, 2001; Kadota, 2016). Both flower colors (i.e., purple and white) co-occur in central Honshu, the geographically intermediate distribution area of the species. As such, G. thunbergii has floral color variation both within and among populations, and is therefore a suitable plant species for exploring the formation and maintenance mechanisms of flower color polymorphism. In particular, since the geographic distribution pattern of floral color may be related to past neutral demographic history, phylogeographic and population genetics approaches are necessary to reveal the geographic pattern of flower color polymorphism. Tsuchimatsu et al. (2014) indicated that selective pressure by herbivores on white flowers and the anthocyanin-mediated herbivore defense of purple flowers are associated with the flower color polymorphism of G. thunbergii, but a more detailed study (e.g., including migration history) is required to elucidate the geographic pattern of flower color polymorphism in G. thunbergii. In this study, we developed polymorphic microsatellite markers for G. thunbergii to reveal its population genetics and phylogeographic history.

Assembled RNA sequencing data of G. carolinianum L. and G. maculatum Dum. Cours. were obtained from the ONEKP: BLAST for 1,000 Plants repository (https://db.cngb.org/onekp/). A similarity search of the contigs against the National Center for Biotechnology Information non-redundant protein database was conducted using the BLASTX algorithm (Altschul et al., 1990) with an E-value cutoff of 1.0E-5. We screened the sequences with microsatellite regions for ≥ 8 dinucleotide repeats and ≥ 8 trinucleotide repeats using MSATCOMMANDER (Faircloth, 2008), and designed primers using Primer3 software (Rozen and Skaletsky, 2000). A total of 369 primer pairs bordering microsatellites were designed and 141 pairs were selected for PCR amplification trials, using eight individuals from eight populations (Kodaira, Hokkaido Prefecture (Pref.); Saku, Nagano Pref.; Hachioji, Tokyo Pref.; Katsuura, Chiba Pref.; Taki, Mie Pref.; Okayama, Okayama Pref.; Amakusa, Kumamoto Pref.; and Yakushima, Kagoshima Pref.). For all loci, the forward primer was synthesized with one of three different tag sequences (5′-CACGACGTTGTAAAACGAC-3′, 5′-TGTGGAATTGTGAGCGG-3′ or 5′-CTATAGGGCACGCGTGGT-3′) and the reverse primer was tagged with a pig-tail sequence (5′-GTTTCTT-3′) (Brownstein et al., 1996). Genomic DNA was extracted from dried leaves using a modified CTAB method (Milligan, 1992). PCR amplification was carried out following the standard protocol of the Qiagen Multiplex PCR Kit (Qiagen, Hilden, Germany) in a final reaction volume of 10 µl containing approximately 5 ng of DNA, 5 µl of 2× Multiplex PCR Master Mix, 0.01 µM forward primer, 0.2 µM reverse primer, and 0.1 µM M13 primer (fluorescently labeled with Beckman Dye; Beckman Coulter, Brea, CA, USA). The PCR thermal profile involved denaturation at 95 ℃ for 3 min, followed by 35 cycles of 95 ℃ for 30 s, 54 ℃ for 3 min, and 68 ℃ for 1 min, and a final 20-min extension step at 68 ℃. PCR products were loaded onto an auto sequencer (GenomeLab GeXP; Beckman Coulter) to assess fragment lengths using Fragment Analysis Software ver. 8.0 (Beckman Coulter).

The extracted DNA of 23 individuals from Hachioji (Tokyo Pref.), 27 from Mifune (Kumamoto Pref.) and 30 from Nantan (Kyoto Pref.) was used to evaluate allelic polymorphisms. To characterize each microsatellite marker (= 19 markers), four summary statistics were calculated using FSTAT v.2.9.3 (Goudet, 1995) and GenAlEx v.6.501 (Peakall and Smouse, 2012): the number of alleles (A), allelic richness (Ar), expected heterozygosity (He) and observed heterozygosity (Ho). These summary statistics were calculated for each locus and population. The significance of Hardy–Weinberg equilibrium and genotypic equilibrium were tested by chi-squared test using GenAlEx v.6.501. In addition, the FST index (Weir and Cockerham, 1984) between populations was calculated using FSTAT v.2.9.3 for elucidating genetic differentiation among the three populations. Cross-amplification trials of the 19 markers were also performed for the related species G. wilfordii Maxim. (16 individuals from two populations: Onneyu, Hokkaido Pref. and Oshino, Yamanashi Pref.) and G. sibiricum L. (16 individuals from two populations: Nakatonbetsu and Onneyu, Hokkaido Pref.).

For the first primer screening using the auto sequencer, 39 of 141 primer pairs successfully amplified DNA fragments of the predicted size, while the remaining 102 pairs amplified fragments of unpredicted size, produced multiple bands, or failed to amplify any fragment. For the 39 reliable primer pairs that showed clear microsatellite peaks of the predicted fragment size, we conducted a second PCR trial using 80 individuals from three populations. We found that 19 loci were polymorphic across the three populations (Table 1), ranging from two to 12 alleles with He and Ho values ranging from 0.0 to 0.684 and 0.0 to 1.000, respectively (Table 2). Among these 19 loci, five markers (Table 1, Table 2) were found to be identical to sequences that were previously reported as monomorphic microsatellite primers of G. soboliferum var. kiusianum (Kurata et al., 2017). Genetic diversity was highest in the Nantan population (Ar = 2.741, He = 0.297), followed by the populations of Mifune (Ar = 2.060, He = 0.099) and Hachioji (Ar = 1.864, He = 0.098) (Table 2). In the Nantan population, individuals of both flower colors are distributed, while only purple and white flowers are distributed in Mifune and Hachioji, respectively. We confirmed significant departures from Hardy–Weinberg equilibrium at some loci in particular populations. Specifically, we detected significant deviations at VKGP_202, VKGP_2694, VKGP_10356, VKGP_14936, VKGP_19219 and VKGP_32221 in two or three populations in each locus, which may indicate the presence of null alleles at these loci. Significant genetic differentiation among the three G. thunbergii populations was detected using these markers (i.e., Hachioji–Mifune, FST = 0.841; Hachioji–Nantan, FST = 0.574; Mifune–Nantan, FST = 0.647). The genotyping error rate of the 19 markers was 2.18% based on 24 individuals arbitrarily selected from three populations. Note that the remaining 20 primers were inappropriate for performing population genetic studies because all individuals were fixed to an allele (i.e., monomorphic) or a heterozygote genotype (Table 3).

Table 1. Characteristics of 19 microsatellite markers developed for G. thunbergii
LocusPrimer sequence (5’−3’)Size range (bp)MotifBLASTX top hit description [species]E-valueONEKP ID
VKGP_202F:CAGCAAGCACCATGTTACCC150–153(AG)9UDP-galactose transporter 2 isoform X1
[Carex littledalei]
2.00E-63VKGP-2000202
R:AGTGAAGCTCAAGAGAAGCG
VKGP_2694F:TCTCCTCCTTCCATTGCCTG318–339(AG)10kinesin-like protein KIN-4A isoform X1
[Ricinus communis]
0VKGP-2002694
R:CGACCTTCACACAGCAATCC
VKGP_3319F:CAGAAACAGAGACCATAGCGTC167–169(AG)9hypothetical protein EZV62_019291
[Acer yangbiense]
5.00E-109VKGP-2003319
R:TGTCTGCGAAGAGAGTACGG
VKGP_4952F:AACCAGACCCTTGTAGCTCC326–330(AC)9No hitVKGP-2004952
R:CTTTGGAGCTCATTTGAACGTG
VKGP_10356F:TCCTTTCTTCCTTGGTTTCCTG183–197(AG)9protease Do-like 7 [Ziziphus jujuba]0VKGP-2010356
R:TCTCCATGCACAACTCCTCC
VKGP_14936F:TAGACCCAATTCAGCCTCGG269–281(AAC)10F-box/LRR-repeat protein 4
[Syzygium oleosum]
3.00E-20VKGP-2014936
R:CTCACCAGTTTCCGATTCGC
VKGP_19219F:ATGCGAAGGTGGAGAAGACG257–266(AG)8DUF502 domain-containing protein
[Cephalotus follicularis]
5.00E-11VKGP-2019219
R:TCTCTCGGCCTGATACAGTG
VKGP_25965F:GTTAAGAATGCGGGCGGTAG334–337(ATC)8hypothetical protein FH972_002063
[Carpinus fangiana]
8.00E-112VKGP-2025965
R:AGCAAAGCGAATGTCTCACG
VKGP_26672*1F:TGTTTCTGTTCCGTTGACCC102–124(AG)9probable glutathione peroxidase 4
[Rhodamnia argentea]
9.00E-95VKGP-2026672
R:AAGCTCCCATCTCCGATTCC
VKGP_29328F:GCATTCCTACACAGCATCGG211–214(ATC)17hypothetical protein CISIN_1g018444mg
[Citrus sinensis]
4.00E-87VKGP-2029328
R:ATCCCAGAGGTGCAGACAAG
VKGP_31098F:GCAGATTGGAATGTTGGTGC370–376(AGC)9No hitVKGP-2031098
R:TTGCAAAGCCATCACCCATG
VKGP_31943F:GCATTACGTACACTGGCTGG263–266(AAC)8ataxin-2 homolog [Malus domestica]7.00E-06VKGP-2031943
R:GGATCCGACCTCCCAAATCC
VKGP_32221F:GAGTGAGCAGAGTCTCGAGG399–427(AG)9two-component response regulator ARR12-like
[Juglans regia]
0VKGP-2032221
R:AGACGGAGACAGAGCTTCTC
VKGP_87603*1F:CCGACAGAGAAGCTACGAAC123–134(AG)9No hitVKGP-2087603
R:TCGTGACTCAGTGACCTTCC
VKGP_92431*1, 2F:AAGCAGAGAGGTCGATCGAG131–141(AG)9No hitVKGP-2092431
R:AGTGTGTGAGAGACTGTACGG
VKGP_108374*1F:CAGACGCGGACAAAGCTAAG168–172(AG)9No hitVKGP-2108374
R:TGAACAGCGGGTAAAGAGAG
VKGP_108676*1F:GAGCAGGAGAGAGAAGCAATC129–141(AG)9hypothetical protein [Gossypium harknessii]7.00E-44VKGP-2108676
R:AGCAGTTCGTGTACATTGCG
YGCX_17221F:AGAGGGACCAAACCACTGTC160–181(AAC)9hypothetical protein GH714_022102
[Hevea brasiliensis]
3.00E-49YGCK-2017221
R:AGGTCAGTGCATGTAGAGGC
YGCX_28878F:ACACTCCTTCCCATGATCCG395–419(ATC)9uncharacterized protein LOC109022334
[Juglans regia]
6.00E-09YGCX-2028878
R:TCTTCTACGCCAACCACCTC
*1   These primers were previously reported as monomorphic microsatellite primers of G. soboliferum var. kiusianum (Kurata et al., 2017).

*2   Primer pair VKGP_92431 amplifies two independent loci, and we confirmed that the two loci are in linkage disequilibrium. However, only one locus was adopted in this study; the other locus often showed a null allele, which could have been derived from PCR amplification error.

Table 2. Genetic diversity of the 19 polymorphic markers for G. thunbergii
LocusHachioji (n = 23) [white]Mifune (n = 27) [purple]Nantan (n = 30)
[purple/white]
Total
AArHeHoAArHeHoAArHeHoAArHeHo
VKGP_20221.9480.0910.000***21.8390.0710.000***22.0000.3910.000***32.3570.1840.000
VKGP_269443.4540.2790.136*64.4550.2390.111***54.0240.4530.44485.5840.3240.231
VKGP_331911.0000.0000.00011.0000.0000.00011.0000.0000.00022.0000.0000.000
VKGP_495221.7270.0440.04621.8390.0710.07421.5330.0330.03321.6000.0500.051
VKGP_1035622.0000.5001.000***22.0000.4580.708**32.5520.3550.31043.1690.4380.673
VKGP_1493611.0000.0000.00021.8570.0740.000***22.0000.5001.000***32.3730.1910.333
VKGP_1921921.9480.0910.000***43.3290.1800.19243.5230.2220.103***63.5110.1640.099
VKGP_2596511.0000.0000.00011.0000.0000.00022.0000.4440.133***22.0000.1480.044
VKGP_2667221.9300.0870.000***32.1850.0720.07432.8620.2130.23353.6470.1240.103
VKGP_2932811.0000.0000.00011.0000.0000.00021.7860.0640.06722.0000.0220.022
VKGP_3109821.6960.0430.04421.8390.0710.07421.5330.0330.03342.7220.0490.050
VKGP_3194311.0000.0000.00011.0000.0000.00022.0000.3460.000***22.0000.1150.000
VKGP_3222143.5880.2100.045***53.7030.1810.115**75.3760.4840.400125.3910.2920.187
VKGP_8760311.0000.0000.00011.0000.0000.00043.9830.6340.333*54.7430.2110.111
VKGP_9243132.6080.1240.13032.5310.1390.074*32.6150.2920.26953.2660.1850.158
VKGP_10837421.7270.0440.04642.8460.1110.11521.5330.0330.03341.9110.0630.065
VKGP_10867632.3910.0840.08721.9380.1050.11143.5310.2420.23353.5500.1440.144
YGCX_1722111.0000.0000.00011.0000.0000.00043.9160.6840.276***65.4610.2280.092
YGCX_2887843.3900.2680.21742.7780.1070.11164.3180.2150.23193.4980.1970.186
Average2.11.8640.0980.0922.52.0600.0990.0933.22.7410.2970.2174.73.1990.1650.134

A, number of alleles per locus; Ar, allelic richness; He, expected heterozygosity; Ho, observed heterozygosity; n, number of individuals genotyped. Asterisks denote significant departure from Hardy–Weinberg equilibrium (*P < 0.05, **P < 0.01, ***P < 0.001). Petal color is indicated with population name.

Table 3. A further 20 primer pairs that were monomorphic or fixed to a heterozygote genotype for G. thunbergii
LocusPrimer sequence (5’−3’)Predicted size (bp)MotifBLASTX top hit description [species]E-valueONEKP ID
VKGP_4891F:CTCCAAGGTACGAGGTGGTC345(AAC)8transcription repressor MYB4-like
[Rhodamnia argentea]
6.00E-89VKGP-2004891
R:GATGTCACGACGTTCACAGC
VKGP_10465F:CAGCATCGTTCTTTCCCACC345(AAG)13LOW QUALITY PROTEIN:
probable serine/threonine protein kinase IRE4
[Pistacia vera]
3.00E-68VKGP-2010465
R:ACGTGCTGTTACAAACTGGG
VKGP_12870F:GGTTGGTTCTGTTTCTGGGC276(AG)11hypothetical protein CMV_011704
[Castanea mollissima]
0VKGP-2012870
R:CAACCAGCTCACACCTCAAC
VKGP_22151F:TCATTGTGGCGAGCAAGTTC172(AG)9No hitsVKGP-2022151
R:TTGCCCGGGTTCTCTTATCC
VKGP_22086F:CCAAATCACTGACCTCCACG206(AT)9NAC domain-containing protein 43-like isoform X2
[Hevea brasiliensis]
3.00E-21VKGP-2022086
R:TCACAATCTCGTTCTCATCACC
VKGP_23492F:CAACTTGATCATGCACTTGTGC289(AAC)8hypothetical protein G4B88_004180
[Cannabis sativa]
6.00E-129VKGP-2023492
R:AGTCAGTGCTGGACAAGGAG
VKGP_23939F:TTCGTCTGATTCGGCATTGC396, 417(AAG)8mechanosensitive ion channel protein 10-like
[Herrania umbratica]
0VKGP-2023939
R:TCGGCCATGGAAGGTAGAAG
VKGP_25427F:AAATAGAGGGAACAAGGCGC188(AG)9AMP deaminase/myoadenylate deaminase,
putative isoform 1 [Theobroma cacao]
0VKGP-2025427
R:AGAGTATACGCCTCCATCGC
VKGP_29076F:ATCAGCCACCTCATCACCTC230(AAC)11No hitsVKGP-2029076
R:TGGGCATGACGATATCCTGG
VKGP_31603F:GAGAACACAATCCTCGTCGC333(AG)9hypothetical protein
[Gossypium lobatum]
2.00E-27VKGP-2031603
R:AGCTCTCCTCCACTTCTTGC
VKGP_76520F:TCTCACCGACCTTTCCCATC132(AC)8No hitsVKGP-2076520
R:CAGTCTCTAGTTGCTCATCAGG
VKGP_78116*F:GAGAGGCTTGCGATGGAGAG118(AG)9No hitsVKGP-2078116
R:AAAGCTCCACTCAACAACGC
YGCX_1175F:GATTCTGCTTCTCGTGACCC176(AAG)9aldo-keto reductase family 4 member c9-like protein
[Trifolium pratense]
5.00E-06YGCX-2001175
R:GAAGCTCACTGTCTCGTTGC
YGCX_3345F:TCCTCCTGTATCGCCGAAAG225(AGC)8unnamed protein product [Prunus armeniaca]2.00E-51YGCX-2003345
R:CCCGAATCCATTTGAGGTGC
YGCX_6368F:CCCTTCCAACAAGTGCATGG313(AAC)8probable transcription factor PosF21
[Cicer arietinum]
2.00E-08YGCX-2006368
R:AGCTTCTGTGAGGGAGGAAC
YGCX_22751F:TCCTCTGAGCTATGGTGTCAC270(AAG)9senescence/dehydration-associated protein At4g35985,
chloroplastic-like isoform X1 [Rosa chinensis]
1.00E-114YGCX-2022751
R:ATCCCTCTCACAATCTGGCC
YGCX_22772F:CTGATGAACTTGGACGACGC392(AAC)9AP2-like ethylene-responsive transcription factor ANT
[Herrania umbratica]
6.00E-36YGCX-2022772
R:ATGTGGAGAGGATCATGGCC
YGCX_23325F:TTGAGCCGGAACAGAGTCAG265(ACC)8RNA-binding protein 38 isoform X3 [Prosopis alba]2.00E-44YGCX-2023325
R:CGAGAATGTCACCGAACTGC
YGCX_25909F:GCCACTACAACTGGACTTGC404(ATC)9No hitsYGCX-2025909
R:ATCTGCCCTATGAGCTCCAG
YGCX_28044F:ACCATCAATTTGCGGGACAC208(AAG)14protein ENHANCED DISEASE RESISTANCE 2-like
[Carica papaya]
4.00E-22YGCX-2028044
R:GCACCAACATCATCCCTCTC
*  This primer pair was previously reported as a monomorphic microsatellite primer pair of G. soboliferum var. kiusianum (Kurata et al., 2017).

Moreover, we checked for cross-amplification of these polymorphic markers in G. wilfordii and G. sibiricum. In G. wilfordii, although one locus (VKGP_25965) was monomorphic, the other 18 loci were polymorphic across the two populations, ranging from two to four alleles with He and Ho values ranging from 0.0 to 0.633 and 0.0 to 1.000, respectively (Table 4). Allelic richness (Ar) ranged from 1.000 to 3.858 (Table 4). In G. sibiricum, 13 markers showed polymorphisms across the two populations, with the number of alleles ranging from two to three and He and Ho values ranging from 0.0 to 0.500 and 0.0 to 1.000, respectively (Table 4). Allelic richness (Ar) ranged from 1.000 to 2.875 (Table 4). However, six loci (i.e., VKGP_202, VKGP_25965, VKGP_29328, VKGP_31943, VKGP_87603 and YGCX_17221) were monomorphic, and one marker, VKGP_25965, failed to PCR-amplify any fragments for G. sibiricum.

Table 4. Cross-amplification results of the 19 markers for G. wilfordii and G. sibiricum
LocusG. wilfordiiG. sibiricum
Onneyu (n = 8)Oshino (n = 8)Nakatonbetsu (n = 8)Onneyu (n = 8)
AArHeHoAArHeHoAArHeHoAArHeHo
VKGP_20221.9920.2190.00011.0000.0000.00011.0000.0000.00011.0000.0000.000
VKGP_269432.8670.3200.25032.8750.3980.12521.8750.1170.12511.0000.0000.000
VKGP_331933.0000.5860.12522.0000.3750.25011.0000.0000.00022.0000.2450.000
VKGP_495221.8750.1170.12532.7500.2270.25021.8750.1170.12511.0000.0000.000
VKGP_1035621.8750.1170.12532.7500.2270.25011.0000.0000.00032.8750.3980.250
VKGP_1493621.8750.1170.12511.0000.0000.00022.0000.5001.00022.0000.5001.000
VKGP_1921933.0000.2550.28621.8750.1170.12522.0000.2450.00022.0000.1330.143
VKGP_2596511.0000.0000.00011.0000.0000.00011.0000.0000.000
VKGP_2667221.9920.2190.00021.8750.1170.12511.0000.0000.00021.8750.1170.125
VKGP_2932821.8750.1170.12533.0000.6330.25011.0000.0000.00011.0000.0000.000
VKGP_3109832.8670.3200.37543.6250.3280.37532.7500.2270.25032.7500.2270.250
VKGP_3194322.0000.4300.12522.0000.3050.12511.0000.0000.00011.0000.0000.000
VKGP_3222122.0000.5001.00022.0000.5001.00011.0000.0000.00021.8750.1170.125
VKGP_8760322.0000.3050.12522.0000.4920.12511.0000.0000.00011.0000.0000.000
VKGP_9243132.8670.3200.12511.0000.0000.00021.9920.2190.00011.0000.0000.000
VKGP_10837421.9920.2190.25021.8750.1170.12521.8750.1170.12521.8750.1170.125
VKGP_10867611.0000.0000.00043.8580.4920.37521.9920.2190.00032.8670.3200.375
YGCX_1722121.8750.1170.12511.0000.0000.00011.0000.0000.00011.0000.0000.000
YGCX_2887821.9920.2190.00021.8750.1170.12521.8750.1170.12521.8750.1170.125
Average2.22.1020.2370.1732.22.0710.2340.1911.51.4860.0990.0921.71.6660.1270.140

A, number of alleles per locus; Ar, allelic richness; He, expected heterozygosity; Ho, observed heterozygosity; n, number of individuals genotyped. One marker, VKGP_25965, failed to PCR-amplify any fragments for G. sibiricum.

Overall, the microsatellite markers developed here will be useful to reveal the genetic structure and demographic history of G. thunbergii in the Japanese archipelago, which will elucidate the genetic background of flower color polymorphism among populations.

ACKNOWLEDGMENTS

The authors thank Daiki Takahashi, Kazutoshi Masuda and Koki Nagasawa for their great help with the sampling. The authors are grateful to Drs. Atsushi Ohwaki and Kenji Horie for granting access to their collection of materials (G. wilfordii and G. sibiricum). We are grateful to the Ashiu Forest Research Station (Kyoto University) for granting us permission to perform field surveys. We are also grateful to the ONEKP: BLAST for 1,000 Plants for kindly allowing us to access the sequence data. This work was supported by JSPS KAKENHI under Grant No. JP16H04827; the Agency for Medical Research and Development National BioResource Project under Grant No. 18km0210136j0002; and Fujiwara Natural History Foundation.

REFERENCES
 
© 2021 The Author(s).

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