Literature DB >> 26421249

Characterization of 14 microsatellite markers for Silene acaulis (Caryophyllaceae)(1).

Eike Müller1, Iva Hlaváčková2, Mildrid Elvik Svoen3, Inger Greve Alsos4, Pernille Bronken Eidesen1.   

Abstract

PREMISE OF THE STUDY: Fifty candidate microsatellite markers, generated using 454 shotgun sequencing, were tested for the widespread arctic/alpine herb Silene acaulis (Caryophyllaceae). METHODS AND
RESULTS: Fourteen out of 50 markers resulted in polymorphic products with profiles that enabled interpretation. The numbers of alleles per locus ranged from two to six, and the expected heterozygosity per locus ranged from 0.06 to 0.68. Analysis of F0 and F1 samples proved that one allele was always inherited maternally. Four multiplex mixes have been developed.
CONCLUSIONS: Microsatellite markers for this species will be a valuable tool to study detailed small-scale genetic patterns in an arctic/alpine herb and to relate them to demographic parameters.

Entities:  

Keywords:  Arctic/alpine; Caryophyllaceae; Silene acaulis; gynodioecious; moss campion

Year:  2015        PMID: 26421249      PMCID: PMC4578374          DOI: 10.3732/apps.1500036

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


Silene L. (Caryophyllaceae) has been recognized as an important model system for plant ecology and evolution, and has been a study system for different sexual and mating systems (Bernasconi et al., 2009). Silene acaulis (L.) Jacq., an arctic/alpine species, exhibits features that make it ideal as a model species (e.g., diploid, two genders, usually single individuals, almost linear size increase with age, widespread distribution). The development of molecular markers for this species is therefore of particular interest. Silene acaulis is a long-lived perennial cushion plant, widely distributed in arctic/alpine tundra ecosystems in Europe, northern Asia, and North America (Elven et al., 2012). It commonly forms dense circular cushions with a central taproot (Jones and Richards, 1962), a feature that facilitates identification of single individuals in dense populations. Individuals of S. acaulis are sexually polymorphic because the species is gynodioecious; however, flowers are variable and populations are functionally dioecious or trioecious (Shykoff, 1988; Delph and Carroll, 2001). Silene acaulis is diploid (2n = 24) throughout its distribution range (Elven et al., 2012) and reproduces solely through sexual reproduction. Data from crossing experiments indicate that sex is inherited by a nuclear-cytoplasmic interaction (Delph et al., 1999). The gender proportions in natural populations are variable (Klaas and Olson, 2006), and in harsher conditions the sex ratio is typically biased toward females (Hermanutz and Innes, 1994; Alatalo and Molau, 1995). The well-defined, nearly circular growth form has been used for demographic studies (Jones and Richards, 1962; Benedict, 1989; Morris and Doak, 1998). To combine demographic information with fine-scale genetic investigations, high-resolution microsatellite markers have been developed. We present 40 primer pairs for simple sequence repeat (SSR) regions in S. acaulis, 14 of which resulted in polymorphic products and were included in a multiplex PCR system. This setup has been tested on 304 individuals collected in the high arctic archipelago of Svalbard, Norway.

METHODS AND RESULTS

Fresh, frozen, and silica gel–dried leaf material collected in Svalbard, Norway, was used for DNA extraction with the QIAGEN Plant Mini Kit according to the manufacturer’s protocol (QIAGEN GmbH, Hilden, Nordrhein-Westfalen, Germany). The only minor deviation to the standard protocol was that elution buffer volume was adjusted to 25 μL or 100 μL depending on the amount of leaf material used. The DNA amount was measured with a spectrophotometer (NanoDrop, ND-2000; Thermo Scientific, Wilmington, Delaware, USA) and adjusted to 5 ng/μL by adding deionized Milli-Q water (Merck Millipore, Darmstadt, Hessen, Germany). The microsatellite regions were identified using next-generation high-throughput genome sequencing (Abdelkrim et al., 2009). All sequences were isolated by ecogenics GmbH (Zürich-Schlieren, Switzerland). Extracted DNA and plant material from one plant collected in Endalen (Svalbard, Norway; 78°11′12″N, 15°45′39″E; voucher from the breeding population deposited at Tromsø Museum [TROM], University of Tromsø, Tromsø, Norway [voucher no. TROM-V-135413]) were sent to ecogenics GmbH, and 13 μg of genomic DNA was analyzed on a Roche 454 GS-FLX platform (Roche, Basel, Basel-Stadt, Switzerland) using a 1/16th run and the GS-FLX titanium reagents. The total 38,453 reads had an average length of 357 bp, and 106 of these reads contained a suitable microsatellite insert that was a tetra- or trinucleotide of at least five repeat units or a dinucleotide of at least nine repeat units. Primers for 50 microsatellite inserts were designed, and all of them were tested for amplification. Out of 50 primer pairs, 10 did not result in a satisfactory amplification using another plant from Endalen (F0). The remaining 40 primers were tested for polymorphism using two additional individuals, one from Polheim (79°53′33″N, 16°01′24″E) and one from Kvartsittsletta (77°03′33″N, 15°07′38″E). Further tests were made with 27 primer pairs using two additional individuals from Polheim, one individual collected on Edgeøya (78°04′54″N, 20°48′38″E), and three individuals germinated from seeds (F1) collected from the F0 individual; the individual from Kvartsittsletta was dropped because of insufficient DNA quantity. For cost-effective testing of the selected primer pairs, the M13 tail approach was chosen with a 6-FAM (Integrated DNA Technologies, Coralville, Iowa, USA) fluorescent color tail to visualize and estimate the length of the amplification product on a capillary sequencer (ABI-PRISM-3100; Applied Biosystems, Foster City, California, USA) (Schuelke, 2000). All PCR reactions for the amplification of the microsatellite primers had a 10-μL volume. Single substances in the PCR mix were 1.0 μL PCR buffer (QIAGEN), 1.0 μL dNTPs (2.0 mM each, QIAGEN), 0.1 μL HotStarTaq DNA polymerase (QIAGEN), 0.2 μL 5 μM forward primer with M13 tail (biomers.net, Ulm, Baden- Württemberg, Germany), 0.6 μL 5 μM reverse primer, 0.6 μL 5 μM 6-FAM tail (biomers.net), 4.5 μL H2O, and 2.0 μL 5 ng/μL template DNA. The PCR conditions were the same as in Vik et al. (2012), except that the annealing temperature was set to 55°C. For fragment length determination of the amplification products, the PCR product was diluted 10× before each was mixed with 0.2 μL GeneScan 500 LIZ and 8.8 μL HiDi (both Applied Biosystems). Fragment length was determined on an ABI PRISM 3100 (Applied Biosystems) at the University of Tromsø. The fragments were visually inspected using PeakScanner 1.0 (Applied Biosystems). Fourteen of the 40 markers (Tables 1 and 2) showed promising profiles and polymorphism within the eight tested plant individuals in the collection region of the Svalbard archipelago (Norway). The three included F1 generation seedlings (EN S F1) inherited one allele from their mother (EN M F0) except for primer pair 3 (no profile for EN M F0 available). Of 14 amplified regions, seven were polymorphic between siblings and 11 were polymorphic between mother and offspring (Table 3).
Table 1.

Characterization of 40 microsatellite loci isolated from Silene acaulis, of which 14 were included in a multiplex PCR approach.,

LocusPrimer sequences (5′–3′)Repeat motifcAllele size range (bp)dEvaluationeMixFluorescent labelForward primer (μL)fGenBank accession no.
Silaca 1F: TCTTATCATTTCCAACCTAGACGG(CAT)7105–190 (202)NVKP722109
R: TCGAACAAGGCAACCCAAC
Silaca 3F: GCGGATCTTGCTTGTGACG(GTT)6,8,5,6236–245 (233)P16-FAM0.24KP722111
R: TTTCTACTAGTGCCCGCAG
Silaca 4F: GGTTGAAAAGGAAATCAAGAGCC(AAT)9203–224 (220)S, NVKP722112
R: GTCGCCAGTAAGATCAATCGAC
Silaca 5F: AAAACGCGAACATTCCGCC(TTA)8— (207)PAKP722113
R: ATACGCACCATGGCCACTC
Silaca 6F: CCGACACATCTTGACGCAC(AAT)8260 (242)NVKP722114
R: AGGTTTGTTCATACGTTAGGGTC
Silaca 7F: TGACTGGAAGTTAAGTGTGGTTC(TAA)8205–226 (217)P26-FAM0.24KP722115
R: AGAGAGTATGGTAGGTGGGG
Silaca 8F: CACTACTCAGAAAAGGTCAATTGTG(TTA)6215–239 (234)P3NED0.16KP722116
R: GGGAATCCAAGAAGGTGGC
Silaca 9F: CGGAGTCGGGATGAGTCG(TAT)6154 (183)SKP722117
R: ACTAACCCGAGTAACAATCTCC
Silaca 10F: GTTGGTTCGTCGATGGGTC(TTA)7256 (240)S, NVKP722118
R: ACTCGTCTCACAACACCCC
Silaca 11F: GGGGAGTATGAGGTTGGAGG(ATT)6214–231 (213)NVKP722119
R: GGACCAGTTCTTGTGTTTGATTG
Silaca 13F: GGGGTCAATGTCATCAACATGAG(ATC)6223 (179)S, NVKP722121
R: GAAGTAAGTCCATGTCCGCC
Silaca 15F: CACATTCAACTCATCCACATTCG(TGA)6187–200 (183)NVKP722123
R: AAAACGCCGTCTCCTGTTG
Silaca 16F: TCATACATTAGCAACATCTGAACG(AT)11176–180 (173)S, NVKP722124
R: GGGACATTGGTTGAGTCGTG
Silaca 17F: TCCTCATCTTTTATTCCCATATTACCC(CTT)8170–215 (165)SKP722125
R: AAAGGACGAGAGTAATGGTAGAG
Silaca 18F: ACAAGTCGGATCAAGTGTTGG(AAAT)6165–173 (171)P2PET0.24KP722126
R: GCTCAACAGACCGGAATGC
Silaca 20F: CAGCAACACCAACGGCTAC(AAT)5,6266–269 (247)NVKP722128
R: CAACCGAACCACCAACTCC
Silaca 21F: GTGTCCAGCTCTTTACTTGGC(TTA)8306–309 (296)NVKP722129
R: GATTAAAACTGAATACATCAACCCC
Silaca 22F: GATTTAGGTGGCGCGTGAG(TTA)14247 (247)S, NVKP722130
R: AGCCCGTCTTACTAACATCCC
Silaca 23F: CCAGCAACACCAGCAGAAG(ATG)6236–242 (245)P36-FAM0.24KP722131
R: CCATGGAACATGTGTATGGAGC
Silaca 24F: CCTCGATCGGAGAGCAGTC(GAA)6216–223 (206)SKP722132
R: GCACCATGCCAAGATTCGG
Silaca 25F: AGCACAACTACACACACACG(ATT)8172–184 (181)P1VIC0.16KP722133
R: TGGCGCATACCTTCATTCC
Silaca 26F: TGGATGATTGTAACACCCGC(AAT)7253–263 (238)SKP722134
R: TGTGACGGTCTTTTACTAGATGG
Silaca 28F: TGACATCCCGGGTTTTGAG(GTT)6256–309 (248)SKP722136
R: CACTTAGCGTCGCATGAAAAG
Silaca 29F: GCCAAAACACGAAAACCCG(ATT)6200–206 (216)P2VIC0.16KP722137
R: TGGTGGTTCTGTGGTGGAG
Silaca 30F: GAGGAGTAAGGCGAGAGGC(GGA)8198–213 (188)SKP722138
R: TGGTTTTGTCATGTTTTGTCGC
Silaca 31F: CTAAGGCAACACGCCCTTC(ACA)7156–167 (150)NVKP722139
R: CACGCATCATTAGCCGACC
Silaca 32F: GATTCATGTTAGCCGACCCC(TGT)8144–177 (171)P2NED0.16KP722140
R: TGCTGCAGTATTAGTGTTTGTG
Silaca 34F: TCACCGATGGTCGTCAAGG(CAA)7171–196 (174)P3PET0.24KP722142
R: AGGCTCTCAACTAGGATTCGG
Silaca 36F: ACCCTCCTTACGTTCCTAATTC(TTC)8165–180 (166)P4VIC0.16KP722144
R: ATGTAGGCGTGACGAAGGC
Silaca 37F: GTGGTTGGTCAGTTCGCTG(GTT)10218–235 (232)NVKP722145
R: ACTCAAGCGGGTCAATCCC
Silaca 38F: CTTAGGCTTGTAACGCGGAG(AAC)8144–147 (150)P1NED0.16KP722146
R: CCCATGGACGGTTCTAAAGG
Silaca 39F: GGCTGAGGATCCCTTGCTG(ATT)5/(ACT)9240–243 (221)SKP722147
R: GTGTTGTCTCGTGTCTAATGTTTG
Silaca 40F: ACCAGCATGCAATATGAATGGG(ATT)12156–183 (168)P1PET0.24KP722148
R: AACAACCGCCTTCCTCAAG
Silaca 41F: TCAGGTAGTCGGTCACCCC(ATT)10256–274 (248)PKP722149
R: TCTAAAATCGCCCAGAATTCAC
Silaca 42F: AGCAATTGGAACACATAAAATCGAC(AAC)7/(CAA)8340–400 (351)SKP722150
R: AAGAGGTATCAATCGCTCTCC
Silaca 43F: GCATTGAAAAGGGGAAATGCG(ATC)6227–244 (225)NVKP722151
R: TCGGATTAGGGTACACGGC
Silaca 44F: AGTAGTTATACAAGTGGTGGTGG(AAT)10210–216 (225)P3VIC0.16KP722152
R: TCCTCTATGAACTCGCTGCC
Silaca 47F: CCTCCTCCGTTACTACTACTTG(CCT)7249–266 (245)NVKP722155
R: TGAAGCCGACTCAACAACAAC
Silaca 49F: TCTCCATTTTGTCCAAGAGTCAG(ATC)9249–260 (241)NVKP722157
R: GTTGCTGAAAATGCGTTGGG
Silaca 50F: AAGACTCGGGAGAAACCAC(ATC)6233–239 (238)P46-FAM0.24KP722158

Note: — = data not available.

Evaluation of primer pairs included in the multiplexing are based on two subpopulations (Endalen: 78°11′12″N, 15°45′39″E; Hotellneset: 78°14′57″N, 15°30′18″E).

Annealing temperature was 56°C for all reactions.

Subscript numbers are amounts of the repeated motif; multiple numbers separated by commas signify that the motif is interrupted by other base pairs.

Observed size range with the size of the sequenced fragment given in parentheses.

Abbreviations: NV = not variable on the tested spatial scale; P = polymorphic; PA = poor amplification; S = large amount of stutter bands.

Amount in a 10-μL mix.

Table 2.

Genetic properties of 40 microsatellite loci isolated from Silene acaulis.

LocusANHo ± SDHe ± SDMean error rate per allele
Silaca 128
Silaca 342270.07 ± 0.070.42 ± 0.220.043
Silaca 48
Silaca 56
Silaca 618
Silaca 762270.42 ± 0.060.51 ± 0.060
Silaca 862270.17 ± 0.070.42 ± 0.0150.708
Silaca 918
Silaca 1018
Silaca 1123
Silaca 1313
Silaca 1523
Silaca 1623
Silaca 178
Silaca 1832270.24 ± 0.130.31 ± 0.170.416
Silaca 2023
Silaca 2123
Silaca 2218
Silaca 2342270.19 ± 0.080.39 ± 0.140.750
Silaca 248
Silaca 2532270.04 ± 0.040.06 ± 0.050.043
Silaca 2628
Silaca 288
Silaca 2922270.16 ± 0.060.39 ± 0.090.458
Silaca 3028
Silaca 3123
Silaca 3242270.21 ± 0.090.22 ± 0.090.125
Silaca 3462270.58 ± 0.080.68 ± 0.040.750
Silaca 3662270.47 ± 0.060.57 ± 0.050.075
Silaca 3728
Silaca 3832270.11 ± 0.050.15 ± 0.070
Silaca 3923
Silaca 4062270.16 ± 0.050.21 ± 0.030.217
Silaca 4133
Silaca 428
Silaca 4323
Silaca 4432270.32 ± 0.080.33 ± 0.040.750
Silaca 4723
Silaca 4923
Silaca 5032270.24 ± 0.120.45 ± 0.060.200

Note: — = data not available; A = observed number of alleles; He = expected heterozygosity; Ho = observed heterozygosity; N = number of individuals.

Table 3.

Allele distribution of a female Silene acaulis individual (EN M F0) and three of its seedlings (EN S F1).

LocusEN M F0EN S 4 F1EN S 5 F1EN S 10 F1
Silaca 3NA259259259
Silaca 7240240240; 243240; 243
Silaca 8250250; 253250; 253250; 253
Silaca 18184; 188184; 188184; 188184
Silaca 23247; 262259; 262259; 262259; 262
Silaca 25186; 199199199199
Silaca 29218; 227218; 225218; 225218
Silaca 32177; 189189189189
Silaca 34177; 189177; 189189; 200189; 210
Silaca 36184; 194194194; 196184
Silaca 38163; 166163; 166163; 166163; 166
Silaca 40178; 187187178; 187178; 187
Silaca 44232; 236232; 236NA232; 236
Silaca 50257254; 257254; 257257

Note: NA = profiles not available because of poor amplification.

Characterization of 40 microsatellite loci isolated from Silene acaulis, of which 14 were included in a multiplex PCR approach., Note: — = data not available. Evaluation of primer pairs included in the multiplexing are based on two subpopulations (Endalen: 78°11′12″N, 15°45′39″E; Hotellneset: 78°14′57″N, 15°30′18″E). Annealing temperature was 56°C for all reactions. Subscript numbers are amounts of the repeated motif; multiple numbers separated by commas signify that the motif is interrupted by other base pairs. Observed size range with the size of the sequenced fragment given in parentheses. Abbreviations: NV = not variable on the tested spatial scale; P = polymorphic; PA = poor amplification; S = large amount of stutter bands. Amount in a 10-μL mix. Genetic properties of 40 microsatellite loci isolated from Silene acaulis. Note: — = data not available; A = observed number of alleles; He = expected heterozygosity; Ho = observed heterozygosity; N = number of individuals. Allele distribution of a female Silene acaulis individual (EN M F0) and three of its seedlings (EN S F1). Note: NA = profiles not available because of poor amplification. The 14 polymorphic markers (Table 1) were selected for further testing using a multiplex PCR set-up with 304 S. acaulis individuals collected in Endalen and Hotellneset (Svalbard, Norway). The M13-tailed forward primers were exchanged with primers that were labeled with the four different fluorescent colors 6-FAM, VIC, NED, and PET (Applied Biosystems). This allowed multiplexing of up to four primer pairs with a different color-labeled forward primer (Table 1). For calculating mean error rates per allele (Table 2; Pompanon et al., 2005), 20 to 24 individuals were replicated per multiplex PCR; in addition, negative controls were run through the entire procedure to monitor contamination. The fragments were scored using Geneious 7.1.3 (Biomatters Ltd., Auckland, New Zealand). The multiplexing in PCR mix 1 and mix 4 was satisfactory. However, despite reliable amplifications in nonmultiplexed PCRs, we initially had a high number of allelic drop-outs or samples that did not amplify, especially in PCR mix 2 and mix 3 (see high error rates in Table 2). Nevertheless, reducing the multiplexing to only two or three primers (resulting in the following primer mixes: Silaca 3 and 8; Silaca 7 and 8; Silaca 23, 44, and 34; and Silaca 29, 32, and 18) improved the results. Thus, we are confident that the reason for this was not fragmented or low-quality DNA material, but competing primers in the PCR multiplex mix.

CONCLUSIONS

The arctic/alpine species S. acaulis has strong potential as a model species for population genetic studies, as genotyping can easily be combined with demographic parameters. To date, the microsatellites have been used for a small-scale genetic study in different size and gender cohorts on the arctic archipelago of Svalbard. The observed heterozygosity was found to be lower (0.04–0.58) than the expected heterozygosity, and no marked differences were found between genders (Svoen et al., in prep.).
  7 in total

1.  An economic method for the fluorescent labeling of PCR fragments.

Authors:  M Schuelke
Journal:  Nat Biotechnol       Date:  2000-02       Impact factor: 54.908

Review 2.  Genotyping errors: causes, consequences and solutions.

Authors:  François Pompanon; Aurélie Bonin; Eva Bellemain; Pierre Taberlet
Journal:  Nat Rev Genet       Date:  2005-11       Impact factor: 53.242

Review 3.  Silene as a model system in ecology and evolution.

Authors:  G Bernasconi; J Antonovics; A Biere; D Charlesworth; L F Delph; D Filatov; T Giraud; M E Hood; G A B Marais; D McCauley; J R Pannell; J A Shykoff; B Vyskot; L M Wolfe; A Widmer
Journal:  Heredity (Edinb)       Date:  2009-04-15       Impact factor: 3.821

4.  Fast, cost-effective development of species-specific microsatellite markers by genomic sequencing.

Authors:  Jawad Abdelkrim; Bruce Robertson; Jo-Ann Stanton; Neil Gemmell
Journal:  Biotechniques       Date:  2009-03       Impact factor: 1.993

5.  Microsatellite markers for Bistorta vivipara (Polygonaceae).

Authors:  Unni Vik; Tor Carlsen; Pernille Bronken Eidesen; Anne Krag Brysting; Håvard Kauserud
Journal:  Am J Bot       Date:  2012-05-21       Impact factor: 3.844

6.  Life history of the long-lived gynodioecious cushion plant Silene acaulis (Caryophyllaceae), inferred from size-based population projection matrices.

Authors:  W Morris; D Doak
Journal:  Am J Bot       Date:  1998-06       Impact factor: 3.844

7.  Seed provisioning in gynodioeciousSilene acaulis (Caryophyllaceae).

Authors:  L F Delph; M F Bailey; D L Marr
Journal:  Am J Bot       Date:  1999-01       Impact factor: 3.844

  7 in total
  1 in total

1.  Microsatellite markers: what they mean and why they are so useful.

Authors:  Maria Lucia Carneiro Vieira; Luciane Santini; Augusto Lima Diniz; Carla de Freitas Munhoz
Journal:  Genet Mol Biol       Date:  2016-08-04       Impact factor: 1.771

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.