Literature DB >> 30131905

Characterization of polymorphic microsatellite loci for North American common greenbrier, Smilax rotundifolia (Smilacaceae).

Ruihong Wang1,2, Mengdi Li1,2, Xue Wu1,2, Chao Shen1,2, Wendi Yu1, Jinliang Liu1, Zhechen Qi1,2, Pan Li3.   

Abstract

PREMISE OF THE STUDY: Microsatellite markers were developed for Smilax rotundifolia (Smilacaceae), an understory vine widely distributed in eastern North America, to investigate genetic diversity and structure. Cross-amplification was tested in three congeneric species: S. china, S. riparia, and S. walteri. METHODS AND
RESULTS: A total of 6153 simple sequence repeat primer pairs were detected from the de novo-assembled transcriptome data (88,3962 contigs) of S. rotundifolia. Thirty-three polymorphic microsatellite loci were selected for further analysis among 96 individuals representing four natural populations of the species. The number of alleles ranged from two to 15, and 87.9% of the developed primer pairs could be cross-amplified in at least one of three congeneric Smilax species.
CONCLUSIONS: The simple sequence repeat markers developed in this study will facilitate further studies on genetic diversity and phylogeographic patterns of S. rotundifolia and provide additional potential microsatellite resources for other Smilax species.

Entities:  

Keywords:  North America; Smilacaceae; Smilax rotundifolia; microsatellites; phylogeography; transcriptome

Year:  2018        PMID: 30131905      PMCID: PMC6025819          DOI: 10.1002/aps3.1163

Source DB:  PubMed          Journal:  Appl Plant Sci        ISSN: 2168-0450            Impact factor:   1.936


Smilax rotundifolia L. (Smilacaceae), the common greenbrier, is a woody, dioecious understory vine characterized by shiny, roundish, heart‐shaped leaves, frequently four‐sided stems, broad prickles, and black glaucous berries. It is a typical element of temperate and subtropical forests in eastern North America, where it is distributed extensively (Holmes, 2002). Molecular markers such as microsatellites could examine its range‐wide population genetic structure and possibly predict how historical processes (e.g., climate oscillations, habitat change, post‐glacial migration) have shaped its current wide distribution in North America. Although microsatellite markers have been previously developed for S. aspera L. and S. sieboldii Miq. (Qi et al., 2017; Ru et al., 2017), these showed low transferability (<30%) to S. rotundifolia. This may be because these species belong to three deeply divergent (ca. 40–25 mya) major clades of Smilacaceae: S. aspera in the Old World basal clade, S. sieboldii in the New World B clade, and S. rotundifolia in the New World A clade (Qi et al., 2013; Chen et al., 2014). To further study the phylogeography of S. rotundifolia in North America, here we developed 33 new variable microsatellite markers based on transcriptome data. Moreover, to broadly test their transferability within the family, three congeneric species (S. china L. in the Old World D clade, S. riparia A. DC. in the Old World C clade, and S. walteri Pursh in the New World B clade) from three major clades of Smilacaceae were selected according to the phylogeny of Qi et al. (2013).

METHODS AND RESULTS

Plant sample collection, DNA extraction, and transcriptome sequencing

A total of 96 samples of S. rotundifolia from four populations (24 individuals per population) were collected to develop and validate microsatellite primers for this species. Three congeneric species (S. china, S. riparia, and S. walteri) were selected for tests of cross‐amplification of the markers. A total of 15 individuals, including five individuals from each of the three species, were sampled. Detailed information on all the samples is provided in Appendix 1. Total genomic DNA was extracted from silica gel–dried leaf materials using the Plant DNAzol Kit (Thermo Fisher Scientific, Waltham, Massachusetts, USA). Total RNA was extracted from young leaves of S. rotundifolia using a cetyltrimethylammonium bromide (CTAB) procedure (Chang et al., 1993). The poly(A)+ RNA (mRNA) was purified and fragmented into small pieces (200 bp) by NEBNext First Strand Synthesis Reaction Buffer (5×) (New England Biolabs, Boston, Massachusetts, USA). First‐strand cDNA was synthesized using a random hexamer primer and M‐MuLV Reverse Trancriptase (RNase H) (New England Biolabs). Second‐strand cDNA synthesis was subsequently performed using DNA polymerase I and RNase H. Illumina TruSeq Stranded mRNA paired‐end sequencing adapters (Illumina, San Diego, California, USA) were then ligated to the ends of the 3′‐adenylated cDNA fragments. The index‐coded cDNA library was sequenced by Novogene Co. Ltd. (Beijing, China) on the Illumina HiSeq 4000 platform, yielding 150‐bp paired‐end reads. Before assembly, raw reads were filtered using Trimmomatic (Bolger et al., 2014) to remove adapter sequences, low‐quality reads (>20% of nucleotides with Q value ≤ 10), and reads containing >10% ambiguous base calls. The raw sequencing data were submitted to the National Center for Biotechnology Information (NCBI; BioSample accession SAMN08329984). Transcriptome assembly was performed using Trinity version 2.5 with the default parameters (Grabherr et al., 2011).

Development of SSR markers

A total of 88,962 contigs were prepared for simple sequence repeat (SSR) targeting and primer design using MIcroSAtellite identification tool (MISA; Thiel et al., 2003). SSR searches were performed with motifs ranging from mono‐ to hexanucleotides, and 6153 primer pairs were designed using Primer3 software (Rozen and Skaletsky, 1999) with default settings. One hundred and thirty primer pairs were randomly chosen for preliminary testing using four samples (one individual per population) of S. rotundifolia to ensure the availability and optimal annealing temperature of each pair. A gradient PCR amplification was performed, with the reaction mixture containing 30 ng of genomic DNA, 5 μL of 2× Master Mix (Tsingke Biotech Co., Hangzhou, Zhejiang, China), 0.2 μM of forward and reverse primers, and ddH2O to reach a volume of 10 μL. The PCR procedure was run as follows: initial denaturation at 94°C for 5 min; followed by 30 cycles at 94°C for 45 s, a temperature gradient for annealing from 50°C to 65°C for 45 s, and 72°C for 1 min; and a final extension at 72°C for 5 min. Forty primer pairs with products showing a clear single band on agarose gel were selected for further tests of variation and transferability.

Polymorphism and transferability assessment

To screen polymorphisms for these 40 loci, we genotyped 96 individuals from four populations of S. rotundifolia using a two‐step PCR amplification protocol (Schuelke, 2000; Sakaguchi and Ito, 2014). In the first step, the PCR reaction was performed following the procedures described above, with the following exceptions: we used 0.1 μM of sequence‐specific forward primer with an M13 tail at its 5′ end, 0.4 μM of sequence‐specific reverse primer, and a 45 s annealing time, with the annealing temperature set to the optimal temperature of the specific primers used (see Table 1). In the second step, the products of the first step were used, with 5 μL of 2× Master Mix, another 0.8 μL (5 μM) of fluorophore‐labeled universal M13 primer (FAM, ROX, HEX, or TAMRA), and additional ddH2O to reach a final volume of 20 μL. The PCR procedure was as follows: initial denaturation at 94°C for 3 min; 15 cycles at 94°C for 30 s, annealing at 53°C for 30 s, and 72°C for 45 s; and a final extension at 72°C for 10 min. PCR products were separated on an ABI PRISM 3730xl Genetic Analyzer with GeneScan 500 LIZ internal size standard (Applied Biosystems, Waltham, Massachusetts, USA). Geneious version 9.0.2 (Kearse et al., 2012) was applied to score genotypes. Finally, 33 polymorphic primer pairs were selected for transferability and further population genetic study (Table 1).
Table 1

Characteristics of 33 microsatellite loci developed for Smilax rotundifolia

LocusPrimer sequences (5′–3′) A Repeat motifAllele size range (bp) T a (°C)GenBank accession no.
D004F: GATTCTTCAAGACCGACCCA6(GA)8 110–15850 MG645948
R: GAGCGGGAATCCATACAAGA
D005F: TGTACAAGAGGAAAAGGAAACCTC5(GA)6 180–19251 MG645949
R: CCTTTTGGCACCTATGGAGA
D007F: GCACGAACAGTATGAAGCGA15(TC)6 121–14950 MG645950
R: AGGAGAGAGAGGAGAACGGC
D009F: AACGCATGCATTCAAACAAG10(TG)10 168–18650 MG645951
R: AGCCTCATGCACTGGACTGT
D010F: ATAGGCAGGGAAAGGAGGAA6(TC)6 178–18650 MG645952
R: GAGGGAGAGCTAAAGCCCAT
D012F: AATCTTTTGGGGTAGGTGGG6(CGT)6 173–19150 MG645953
R: TGAAATAGAGAGTGCGGCCT
D014F: GAGCGACATCTTTCCCTCAG4(CTC)6 177–18650 MG645954
R: GCCCTCTTCGAATCCCTAAC
D016F: GCTATTGGTGTGGTTCAGGG3(GGT)6 189–19559 MG645955
R: GCCTCGTCTTCTTCCTCCTC
D017F: AAGAGGAGCTGGAGGACGAC2(AGA)5 18059 MG645956
R: CAGCATTCTCCTTTTCCTGC
D021F: TATCCTTTGCCGAACGAAAG7(TGC)6 204–22551 MG645957
R: GGGGCAGGGGTTTGATAATA
D023F: CCAAAATGGTGTTGCTGTTG2(GAA)5 129–13250 MG645958
R: AGCAAAGACAGGTGCTCCAT
D024F: GGTATAGGGATGCGAGTCCA4(AGAT)5 158–17051 MG645959
R: TTTCTGACGAACATTGAGCG
D025F: TATGTATGCCCATCCATCCA6(GGAA)5 126–15050 MG645960
R: CAGGTCTGGAAAACGAGGAG
D027F: CGTCCTTTGTTTCACGCTTT3(TCGA)5 130–13851 MG645961
R: CAAACAGGTTGAGGGCAACT
D029F: GGAGTGTGGATTTGTGGCTT6(CCTT)6 178–19850 MG645962
R: CATCCCCCAACAAGAGCTAA
D032F: GACGACCTTCTGCTTCTTGG5(CGAT)5 214–25454 MG645963
R: AAAACCCCAAACTCCAAACC
D033F: TGTTTGATTGAGGAGAGGGG7(ATCC)5 188–21250 MG645964
R: TTTGGCCCTGAGCAATTTAT
D036F: TAAATTCCAAAGGAGCACGC6(ATTT)5 158–17851 MG645965
R: TTCTGACCCTCCACCCATAG
D038F: TTGCTGACTTCACCAGCATC5(CTTCC)7 159–17950 MG645966
R: TCTCTCCCGAGTTCCTCTGA
D039F: CTTGGAGAGGGATGGGTACA5(ATGTT)5 221–23650 MG645967
R: CCCTTGTACAAAACAAAGGCA
R007F: TCCGTGCTCTCACTTCCTCT7(TC)6…(CT)6 200–23651 MG645968
R: GATTGGTTTTGGGAGTTGGA
R022F: ACAACGGCCAGATTTGTTTC8(CT)9 182–19850 MG645969
R: ACACAAAGGGAGTGGTTTGG
R026F: CATCCCTGTCCGCTTAACAT5(AG)8 323–33150 MG645970
R: CGCTCTTGAGGGTGTAGGAG
R031F: GAGCTTGGCCTTTCAAAGAA6(CA)7 257–26956 MG645971
R: GGAAGTGGCACGAGGTATGT
R037F: TACTCCTACACGCCTCCCAC10(TC)7 124–16050 MG645972
R: CTGGGATTGGGATTGAGAGA
R043F: GCCGTGTTTCTATTTCGAGG13(CCT)5 141–18050 MG645973
R: TCGTGGGTGAGGAGAGAGAG
R045F: GTAAACCTGGCACCGAAGAA8(CTG)5 305–34460 MG645974
R: CACTTCCCAGATCCCTACCA
R049F: TCAAATGCAGCTCAATCAGG8(AAG)6 232–25650 MG645975
R: CCCACTGATAACTGCCCTCT
R054F: TGCTGGAATCACTGTTTTCG3(ATC)5 345–35156 MG645976
R: AGCCTCAACTTCCATCCCTT
R056F: TGTAGGTCTTGGAGAACGGG4(TCG)5 116–12550 MG645977
R: TTTGTGGATGGACTTGGACA
R058F: TTCTCTCCATCATCGCCTCT10(CAT)6 109–18150 MG645978
R: GCTCCACCTCCTTCCCTATC
R087F: ATGGTGTGGATGGAGGTGTT8(TCGTGC)6 124–17850 MG645979
R: AGCGGTGAAGTGGATGCTAT
R090F: AGCCGAACTTCTTGGACTCA4(CCGCGT)5 286–30450 MG645980
R: GTACAAGCGAGTAAAGGCGG

A = number of alleles per locus; T a = optimized annealing temperature.

Characteristics of 33 microsatellite loci developed for Smilax rotundifolia A = number of alleles per locus; T a = optimized annealing temperature. Number of alleles, observed and expected heterozygosity, polymorphism information content, and deviations from Hardy–Weinberg equilibrium were calculated and tested using CERVUS 3.0 (Kalinowski et al., 2007). For each population of S. rotundifolia, the number of alleles ranged from two to 15, polymorphism information content ranged from 0.011 to 0.813, and the levels of observed and expected heterozygosity varied from 0.011 to 0.958 and 0.011 to 0.836, respectively. The Hardy–Weinberg equilibrium test indicated that three primer pairs deviated significantly from expected values (Table 2). In cross‐amplification tests, a 1.5% agarose gel was used to detect the transferability of each primer, and the observation of one clear distinct band in the expected size range was considered as successful amplification. The transferability rate of each species was 57.6% in S. riparia and S. china, and 69.7% in S. walteri. In total, 87.9% SSR primers were successfully cross‐amplified in at least one species (Table 3).
Table 2

Genetic parameters of the 33 microsatellite loci within four populations of Smilax rotundifolia.a

LocusCE (N = 24)CS (N = 24)NE (N = 24)SE (N = 24)
A H o H e PICb A H o H e PICb A H o H e PICb A H o H e PICb
D00440.5420.6800.60030.3480.5370.42650.5000.5770.47340.9170.6290.552*
D00530.2920.3700.31030.3330.6770.58930.2170.5630.47740.1740.5320.440
D00770.6960.8030.75570.9130.8040.75480.3640.7960.752110.7390.7980.750
D00980.6360.8290.78370.3040.7770.72470.5830.8120.76580.7060.8700.825
D01030.0950.4630.38520.2860.2540.21560.1300.5500.50630.0590.5080.397
D01240.6670.6860.60750.2380.6590.57650.4440.7510.68350.4000.7270.653
D01430.4170.6300.54430.2500.5510.43220.3330.3830.30540.7500.6180.523
D01610.0000.0000.00020.0480.0480.04520.0000.0820.07710.0000.0000.000
D01710.0000.0000.00010.0000.0000.00020.0420.0420.04010.0000.0000.000
D02140.3910.4030.36350.8330.7810.72960.5000.5820.52250.5220.5250.483
D02321.0000.5110.375*** 20.9580.5100.375** 21.0000.5110.375*** 20.8750.5030.371
D02420.2140.1980.17330.5000.5580.46830.2780.4460.38640.1180.5860.484
D02530.4350.4980.43260.3330.6000.53750.6520.6670.59140.5830.6130.557
D02710.0000.0000.00020.0420.0420.04030.0430.1270.12010.0000.0000.000
D02930.5000.5630.47850.4440.6480.58940.4000.5720.46050.4210.6880.627
D03230.3130.5340.41230.1880.6470.55140.2860.6550.57450.3330.6510.565
D03340.4580.3910.35550.3750.3360.31550.6670.5270.48140.3750.4420.395
D03640.5650.6210.53950.6520.5200.47440.6500.5810.47340.6500.6400.564
D03850.7390.6450.58540.4170.6080.53740.9580.7120.64740.8570.7170.646
D03920.3330.3830.30530.2920.6160.53030.3750.4620.38140.1300.3120.288
R00740.2670.6340.56950.0630.6710.59770.3750.7250.66850.2000.7740.694
R02240.1250.3840.34030.3330.6350.543*** 70.3480.4490.42440.1900.3390.313
R02640.3080.7750.69830.6670.6810.58850.5450.7550.69240.4440.7390.649
R03150.3640.4070.37110.0000.0000.00020.0000.1020.09540.3330.4240.371
R03750.7080.6390.56750.4170.6810.60870.5240.5030.46050.3750.5040.462
R04350.3330.3030.28540.7080.5160.44080.4580.4010.37680.4580.4640.439
R04530.3180.5380.42740.2860.7170.64240.5650.5790.50340.2500.7220.645
R04930.1250.3310.29440.5260.4220.36260.4760.6550.59070.3850.6150.569
R05420.1760.5150.37530.1000.6310.53420.3480.3480.28230.3850.6310.529
R05610.0000.0000.00030.0830.0820.07930.4350.3570.30120.0430.0430.042
R05850.6470.6260.54360.7620.7560.69780.9050.7270.66680.7140.7940.742
R08760.8330.7380.67960.6250.7740.71870.8750.7580.70870.7390.7400.681
R09030.2670.4800.38340.3330.3140.28330.0670.1910.17530.0000.4500.385

A = number of alleles per locus; H e = expected heterozygosity; H o = observed heterozygosity; N = number of individuals sampled; PIC= polymorphism information content.

aLocality and voucher information are available in Appendix 1.

bSignificant deviations from Hardy–Weinberg equilibrium: *P < 0.05, **P < 0.01, ***P < 0.001.

Table 3

Cross‐amplification efficiency of 33 microsatellite loci developed for Smilax rotundifolia in three congeneric species.a

Locus Smilax riparia (N = 5) Smilax china (N = 5) Smilax walteri (N = 5)
Efficiency (%)Allele size (bp)Efficiency (%)Allele size (bp)Efficiency (%)Allele size (bp)
D004100124100104–122100132–140
D005100188–192100198–204100168–188
D00700100132–134
D00900100154–166
D010000
D012100175–181100173100152–176
D014100168100177–186100126–129
D016601770100189–195
D0170100201–21060143–146
D02100100142–151
D023100123–129100129–132100113–119
D024000
D025100114–118100126–150100130
D027020138100130
D0294017000
D032100214–24200
D03300100226–242
D03600100136–144
D038100160100172–177100120–125
D0394022010025040235
R00700100232
R022100168–174100180–188100172–174
R0260100300–308100262–266
R031100254–260402200
R037100130100120–140100124–160
R043100144100163–1690
R045100311–31480282–2850
R049000
R054000
R05640116–12240116–118100116–125
R05800100109–181
R087100106–112100124–130100124–172
R090100282–288802820
Transferabilityb 29/33 = 57.60% 29/33 = 57.60% 23/33 = 69.70% 

— = unsuccessful amplification; N = number of individuals sampled.

Locality and voucher information are available in Appendix 1.

Successful cross‐amplification is shown as locus number/total number of microsatellite markers × 100%.

Genetic parameters of the 33 microsatellite loci within four populations of Smilax rotundifolia.a A = number of alleles per locus; H e = expected heterozygosity; H o = observed heterozygosity; N = number of individuals sampled; PIC= polymorphism information content. aLocality and voucher information are available in Appendix 1. bSignificant deviations from Hardy–Weinberg equilibrium: *P < 0.05, **P < 0.01, ***P < 0.001. Cross‐amplification efficiency of 33 microsatellite loci developed for Smilax rotundifolia in three congeneric species.a — = unsuccessful amplification; N = number of individuals sampled. Locality and voucher information are available in Appendix 1. Successful cross‐amplification is shown as locus number/total number of microsatellite markers × 100%.

CONCLUSIONS

In this study, we developed and characterized 33 polymorphic microsatellite markers that may prove useful in assessing genetic structure and gene flow across the geographic range of S. rotundifolia. The results of cross‐amplification tests of these SSR primer pairs in three congeneric Smilax species suggests that these markers may also be useful for assessing genetic variation and genetic structure in other Smilax species.
SpeciesPopulation codeVoucher no.LocalityGeographic coordinates N
Smilax rotundifolia L.NE P. Li 10042 Holland, Michigan, USA43°47′45″N, 86°09′04″W24
CE P. Li 161773 Snow Hill, Maryland, USA38°08′08″N, 75°26′27″W24
SE P. Li 150261 Eastover, South Carolina, USA33°53′29″N, 80°39′48″W24
CS P. Li 10125 Winters, Texas, USA31°58′06″N, 99°54′07″W24
Smilax china L. Z. Qi & P. Li 160136 Wenzhou, China27°42′21″N, 119°40′30″E5
Smilax riparia A. DC. Y. Chen 160344 Hengyang, China27°16′33″N, 112°40′42″E5
Smilax walteri Pursh P. Li 162117 Franklinton, Louisiana, USA30°46′17″N, 90°09′22″W5

N = number of individuals sampled.

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