Literature DB >> 29188148

Development, characterization, and cross-amplification of 16 microsatellite primers for Atriplex tatarica (Amaranthaceae).

Eva Kondrysová1, Karol Krak1,2, Bohumil Mandák1,2.   

Abstract

PREMISE OF THE STUDY: Microsatellite primers were developed to characterize the genetic diversity and structure of the annual herb Atriplex tatarica (Amaranthaceae) and to facilitate ecological and evolutionary studies of A. tatarica and its relatives. METHODS AND
RESULTS: Sixteen novel microsatellite primers were developed for A. tatarica based on high-throughput sequencing of enriched libraries. All markers were polymorphic, with the number of alleles per locus ranging from three to 25 and observed and expected heterozygosity ranging from 0.08 to 0.74 and 0.10 to 0.87, respectively. In addition, some of these loci were successfully amplified and showed polymorphisms in four Atriplex and seven Chenopodium species.
CONCLUSIONS: The microsatellite markers published here will be useful in assessing genetic diversity, structure, and gene flow within and across populations of A. tatarica, as well as in other species of Atriplex and the related genus Chenopodium.

Entities:  

Keywords:  Amaranthaceae; Atriplex; Chenopodium; cross-amplification; microsatellites

Year:  2017        PMID: 29188148      PMCID: PMC5703183          DOI: 10.3732/apps.1700094

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


The genus Atriplex L. (Amaranthaceae) numbers about 270 species (McArthur and Sanderson, 1984) distributed mainly in the deserts and semideserts in southwestern North America, in southern Australia, in southern Central Asia, in southwestern South America (Osmond et al., 1980; McArthur and Sanderson, 1984), or in coastal and solonchak regions of the Northern Hemisphere (Osmond et al., 1980). Most previous population studies in Atriplex used allozymes (Mandák et al., 2005, 2006a, 2006b), and highly variable microsatellites have been employed only in the study of the Australian species A. nummularia Lindl. (Byrne et al., 2008). To date, no nuclear simple sequence repeat markers (SSRs) have been developed specifically for A. tatarica L. and successfully cross-amplified to closely related Atriplex and Chenopodium L. species to enable population-level assessment of various representatives of the genus. Given the number of species in both the genus and the whole family, we expect that these markers will have broad applicability for conservation and population-level analyses. Atriplex tatarica is an annual diploid (2n = 2x = 18) with a mixed mating system (Mandák et al., 2005) and is native to a wide area of Eurasia (Kochánková and Mandák, 2008). Along with 13 other species, it belongs to the section Sclerocalymma (Asch.) Asch. & Graebn. The distribution center of this section is located in southern Central Asia (Kochánková and Mandák, 2008). In Europe the species has a continental distribution. The northwestern border of its current continuous European range runs through the Czech Republic (southern Moravia), southern Slovakia, eastern Poland, and central Belarus, and its expansion in these countries has recently been reported (Kochánková and Mandák, 2008). The species possesses remarkable heterocarpy, which is morphologically manifested in the shape and size of bracteoles and in the size and color of fruits. Heterocarpy enables colonizing species such as A. tatarica to survive both major disturbances and unfavorable conditions (by ensuring that at least some seeds persist) and to expand during periods of favorable conditions (by ensuring that some seeds effectively spread and germinate) (Doudová et al., 2017). In this paper, we report the development and characterization of 16 novel microsatellite loci for A. tatarica. Additionally, we cross-amplified these loci in four and seven species of the genera Atriplex and Chenopodium, respectively.

METHODS AND RESULTS

Microsatellite development

Total genomic DNA of A. tatarica was extracted from 20−25 mg of silica gel–dried leaf tissue from seven samples of different population origin (Appendix 1) using the DNeasy Plant Mini Kit (QIAGEN, Hilden, Germany). These samples were used by GenoScreen (Lille, France) to develop microsatellite loci following the protocol of Malausa et al. (2011) based on GS FLX Titanium pyrosequencing (454 Life Sciences, a Roche Company, Branford, Connecticut, USA) of microsatellite-enriched DNA libraries. Microsatellite enrichment was carried out using eight microsatellite probes [(AG)10, (AC)10, (AAC)8, (AGG)8, (ACG)8, (AAG)8, (ACAT)6, (ATCT)6]. The sequencing yielded 32,229 reads, and 1956 of these contained microsatellite motifs. Primers were designed based on reads of the positive strands using QDD software (Meglécz et al., 2010).

Biological validation

Forty-seven candidate loci possessing perfect repeat motifs and different expected amplicon lengths within the 100–400-bp interval were selected and tested for amplification from all seven individuals. The PCR reactions were performed in 5-μL reaction volumes containing 1 μL of genomic DNA, 0.1 μM of both primers, and 1× QIAGEN Multiplex PCR Master Mix (QIAGEN). Reactions were performed with the following conditions: an initial denaturation step at 95°C for 15 min; followed by 40 cycles of denaturation at 94°C for 30 s, annealing at 55°C for 30 s, and extension at 72°C for 1 min; and a final extension at 72°C for 10 min. The PCR products were checked on 2% agarose gels. Of the markers that amplified successfully from all seven individuals, 24 were selected and used for initial polymorphism tests. In this step, PCRs were performed as described above, but only the forward primers were labeled by fluorescent dyes (6-FAM, VIC, PET, NED; Applied Biosystems, Foster City, California, USA). The PCR products were diluted 5×, and 1.0 μL of the dilution was added to a mix of 12.0 μL Hi-Di Formamide (Applied Biosystems) and 0.1 μL GeneScan 500 LIZ Size Standard (Applied Biosystems) for sequencing on an ABI PRISM 3130 Automated Capillary DNA Sequencer (Applied Biosystems). In the end, 16 polymorphic markers with well-scorable peaks were selected and combined into two multiplexes (Table 1). The sequences of the 454 reads containing these microsatellite loci have been deposited in the GenBank database of the National Center for Biotechnology Information (NCBI) (Table 1). These two multiplexes (Table 1) were tested for polymorphism in 120 individuals from six geographically well-separated populations collected across Europe (Appendix 1).
Table 1.

Characteristics of 16 polymorphic microsatellite loci of Atriplex tatarica.

LocusaPrimer sequences (5′–3′)Repeat motifAllele size range (bp)Fluorescent labelConcentration in multiplex reaction (μM)GenBank accession no.
Multiplex 1
 AT22F: GTGCAACGAAGATGGATTTG(TGT)7114–1346-FAM0.1MF598744
R: TGAGAAAGTGGAGCAAGAAGTG
 AT28F: CTGGACAGTTGTGAAAGCTCA(AG)6161–2226-FAM0.6MF598747
R: CGTACCTATTGAGGTTCTCTCCC
 AT15F: GGTATTCGTCGATTTCCCCT(TGT)8101–134VIC0.1MF598741
R: CGAGTTCGACTCGCCTAAGA
 AT20F: GGTGGGTTTAATGGTGGAAA(AGA)7139–150NED1.0MF598743
R: CCTGAGTCGCGTTTGTACCT
 AT17F: GGTGTTACCTACGCTTTCATTC(TG)8100–118PET0.2MF598742
R: ATTTGCAATTCCATGAGCCT
 AT07F: TGGTCGTGGTAACCCTCTTC(TGT)11153–188PET0.2MF598740
R: AGCTCAGCGCAATTCAGTTT
 AT38F: ATGGGCCAACATATTTTCCA(AC)6102–1046-FAM0.1MF598750
R: GCATGTTTAGTTGGTAGCAAGG
 AT27F: GCAATCAGAGGCAGAACTCC(TGC)6218–233VIC0.1MF598746
R: CCATGCTTGTTGAGTTTCTTCA
 AT44F: TTCGATCGTTCTGTCGTAACC(TG)5165–180VIC0.1MF598753
R: TCCTTTCTAGACCACCCCAA
Multiplex 2
 AT04F: TGTGAAAGTTGTCTTTGTGCAAC(TCT)1494–2006-FAM0.4MF598738
R: CGAGTAAGACGATAGAGGAAGAGG
 AT05F: TTCTTGAGGGCTTTCTTGGA(TGT)1286–108VIC0.1MF598739
R: TGACCCTTTTGCTTTTAGGG
 AT25F: TAACTGGTGTTGGTCGGTGA(AGG)6266–283NED0.2MF598745
R: TAGGATCTTCTTCGGGTTCG
 AT30F: GAGGCAGAGACTGAAGGTGG(GAA)6136–150PET0.1MF598748
R: TTCTTCATTCCTCCGTTTCG
 AT31F: GAAGCCATGAAGGAGGTGAG(GT)6137–161NED0.2MF598749
R: CTGCCAGCAGCAATCAATTA
 AT41F: TTGCACCAATGCAATCCTAA(TACA)5190–230PET0.2MF598751
R: AATAAGGCCAAGAGATCCCG
 AT42F: GAGGTCTGGATCTGAGACGG(CATA)5172–188VIC0.1MF598752
R: CTTCCCCTTGCTTCCATAAA

Annealing temperature was 55°C for both multiplexes.

Characteristics of 16 polymorphic microsatellite loci of Atriplex tatarica. Annealing temperature was 55°C for both multiplexes. Using the same reaction conditions as specified above, the primers were tested on DNA extracted from A. oblongifolia Waldst. & Kit. (15 individuals tested), A. patula L. (15), A. prostrata DC. (3), A. sagittata Borkh. (20), C. bonus-henricus L. (7), C. hybridum L. (6), C. polyspermum L. (4), C. pumilio R. Br. (6), C. rubrum L. (4), C. suecicum Murr (6), and C. urbicum L. (4) (Appendix 1).

Microsatellite data analysis

Allele size was determined using GeneMarker 2.6.4 (SoftGenetics, State College, Pennsylvania, USA). FSTAT 2.9.3 (Goudet, 1995) was used to calculate summary statistics for SSR loci such as the average number of alleles per locus and Weir and Cockerham’s parameter f (FIS; Weir and Cockerham, 1984) as a measure of departure from within-population random mating. Observed and expected heterozygosities were calculated using GENEPOP (Rousset, 2008), and the deviation from Hardy–Weinberg equilibrium was determined based on 10,000 permutations in FSTAT 2.9.3 (Goudet, 1995). MICRO-CHECKER version 2.2.3 (van Oosterhout et al., 2004) was used to test for evidence of stuttering, allele dropout, and the presence of null alleles at each locus. The Brookfield 1 equation (Brookfield, 1996) was used to calculate null allele frequencies. We identified 143 alleles at 16 microsatellite loci, with an average of 8.9 alleles per locus. The summary statistics for genetic variability across and within populations are presented in Table 2. The deficit of heterozygotes, computed over all populations and loci, was significant, as indicated by a relatively high inbreeding coefficient (f = 0.171). Eight out of 16 loci were not in Hardy–Weinberg equilibrium (Table 2), which might be due to high levels of self-pollination and the strong bottleneck effect of newly founded expanding populations. No signs of stuttering or large allele dropout were detected. The average null allele frequency for each locus calculated using the Brookfield method detected the presence of null alleles at five loci (Table 2).
Table 2.

Genetic characterization of 16 newly developed polymorphic microsatellite loci across six populations of Atriplex tatarica.

LocusBulgaria (11A, n = 20)Poland (25A, n = 20)Germany (30A, n = 20)Romania (44A, n = 20)Hungary (62A, n = 20)Czech Republic (70A, n = 20)Overall (n = 120)
BAHoHefAHoHefAHoHefAHoHefAHoHefAHoHefAHoHef
Multiplex 1
 AT380.12420.100.260.62*1NDNDND1NDNDND20.250.22−0.121NDNDND20.100.10−0.0330.080.100.28*
 AT220.12440.400.610.36*50.750.70−0.0740.370.580.38*60.550.610.1020.250.300.1640.700.64−0.1070.500.610.12*
 AT280.22370.410.840.52*60.650.770.1650.680.750.1050.500.600.1740.250.590.59*60.550.670.18120.510.800.28*
 AT15−0.03070.650.62−0.0580.750.780.0480.630.770.1890.850.82−0.0440.650.57−0.1430.400.470.14110.660.790.02
 AT44−0.00520.110.10−0.0330.150.14−0.0420.050.050.001NDNDND20.000.121.00*20.160.310.5050.080.130.37*
 AT27−0.00830.150.14−0.0440.550.47−0.1830.370.32−0.1740.350.380.075NDNDND1NDNDND60.240.24−0.09
 AT200.22750.350.770.55*60.530.730.28*70.530.850.39*40.850.75−0.1410.300.620.52*50.600.740.2080.530.830.30*
 AT170.00040.900.71−0.2740.320.630.51*50.630.630.0140.200.270.2750.600.57−0.0640.700.68−0.0350.560.670.04
 AT070.19740.400.760.48*50.060.690.92*50.210.710.71*60.500.740.33*30.160.230.3340.250.650.62*120.260.710.58*
Multiplex 2
 AT040.01050.550.580.0580.500.820.40*120.650.900.29*60.200.740.74*20.350.460.24130.500.880.44*250.460.870.38*
 AT05−0.07450.650.55−0.1950.700.60−0.1750.400.430.0770.500.500.0040.550.45−0.2360.600.660.0980.570.68−0.07
 AT42−0.09630.600.47−0.2860.600.710.1660.890.77−0.1660.850.73−0.1820.500.570.1250.600.57−0.0680.670.71−0.06
 AT310.01880.800.860.0760.420.630.3490.850.860.0160.850.81−0.0530.700.62−0.1460.800.78−0.0390.740.840.03
 AT25−0.01530.450.44−0.0250.780.68−0.1450.680.710.0460.600.790.25*30.050.050.0050.700.62−0.1470.540.670.02
 AT30−0.01440.500.49−0.0250.500.680.2730.630.52−0.2230.300.27−0.102NDNDND50.400.490.1960.390.460.05
 AT410.24660.290.740.61*40.400.600.3420.110.11−0.0350.060.450.87*20.390.470.1950.350.660.47*110.270.610.48*
Mean4.500.460.560.19*5.060.510.640.21*5.130.510.600.15*5.000.490.580.15*2.810.370.430.16*4.750.490.590.17*8.940.440.610.17*
s.d.1.790.230.230.251.730.210.160.202.850.250.270.162.850.270.210.171.280.230.190.342.670.210.190.185.030.200.250.21

Note: A = number of alleles; B = null allele frequency averaged over all populations using the Brookfield 1 equation (Brookfield, 1996); f = inbreeding coefficient; He = expected heterozygosity; Ho = observed heterozygosity; n = number of individuals sampled; ND = not determined.

Codes presented with populations correspond to voucher accession numbers. Voucher and locality information are provided in Appendix 1.

Significant deviation from Hardy–Weinberg equilibrium (P < 0.05).

Loci with null alleles.

Genetic characterization of 16 newly developed polymorphic microsatellite loci across six populations of Atriplex tatarica. Note: A = number of alleles; B = null allele frequency averaged over all populations using the Brookfield 1 equation (Brookfield, 1996); f = inbreeding coefficient; He = expected heterozygosity; Ho = observed heterozygosity; n = number of individuals sampled; ND = not determined. Codes presented with populations correspond to voucher accession numbers. Voucher and locality information are provided in Appendix 1. Significant deviation from Hardy–Weinberg equilibrium (P < 0.05). Loci with null alleles. Fifteen microsatellite loci were successfully cross-amplified from some of the species tested (Table 3). The cross-amplification was more successful with closely related species of the genus Atriplex than of Chenopodium (Table 3).
Table 3.

Results of cross-amplification (allele size ranges) of 16 microsatellite loci developed for Atriplex tatarica tested in seven Chenopodium and four other Atriplex species.

LocusA. oblongifolia (n = 15)A. patula (n = 15)A. prostrata (n = 3)A. sagittata (n = 20)C. bonus-henricus (n = 7)C. hybridum (n = 6)C. polyspermum (n = 4)C. pumilio (n = 6)C. rubrum (n = 4)C. suecicum (n = 6)C. urbicum (n = 4)
Multiplex 1
 AT38102−108106100−104102−108100−106108108
 AT22114−125114−118118118128−148118−147111−121121110−113
 AT28152−200200−201187−233206219160−219160−163
 AT15127104124113−138111
 AT44146−154144−146142151160−183157160−186153155153155
 AT27218−230230230227−230199−218213218213−218207218207
 AT20173119−173129150
 AT17127134123
 AT07
Multiplex 2
 AT0490−20491−12691−204232254131
 AT05928692104104
 AT42180−187180−184186−184196
 AT31141−143143141−191143−179148−150159145−161
 AT25227215271288301
 AT30134−145134−148139134−14599−117
 AT41190−198194−198194−210190−198187

Note: n = number of individuals used.

Locality and population information are provided in Appendix 1.

Results of cross-amplification (allele size ranges) of 16 microsatellite loci developed for Atriplex tatarica tested in seven Chenopodium and four other Atriplex species. Note: n = number of individuals used. Locality and population information are provided in Appendix 1.

CONCLUSIONS

Sixteen polymorphic microsatellite loci were developed for A. tatarica. These markers will be valuable for investigating the population genetic structure, mating system, and phylogeographic pattern of this species. The cross-species amplification of these markers indicates that they may be widely useful in related Amaranthaceae species. We conclude that the SSRs described here will facilitate ecological and evolutionary studies of A. tatarica and related species.
Appendix 1.

Geographic information on Atriplex and Chenopodium populations in this study.

SpeciesVoucher specimen accession no.aNCollection localityLatitude (°N)Longitude (°E)
Atriplex tatarica L.B. Mandak 1Ab1Győr, Hungary47.7063317.48802
B. Mandak 3Ab1Nagyhegyes, Hungary47.5179521.35765
B. Mandak 5Ab1Siculeni, Romania46.4417425.76171
B. Mandak 7Ab1Constanty, Romania44.2817828.55689
B. Mandak 9Ab1Dragodana, Romania44.7250125.34959
B. Mandak 11Ab,c20Sofia, Bulgaria42.7424523.25354
B. Mandak 12Ab1Popovitsa, Bulgaria42.1360725.05463
B. Mandak 25Ac20Wielgolas Brzeziński, Poland52.2005321.41598
B. Mandak 30Ac20Berlin, Germany52.3009013.19406
B. Mandak 44Ac20Tețcani, Romania47.0300926.86970
B. Mandak 62Ac20Hegyháthodász, Hungary46.9346616.66857
B. Mandak 70Ac20Velké Němčice, Czech Republic49.0104616.68755
Species used for cross-amplification
A. oblongifolia Waldst. & Kit.B. Mandak 9305Cluj-Napoca, Apahida, Romania46.8181423.74997
B. Mandak 9325Vlădeni. Romania47.4146927.37454
B. Mandak 9365Horoměřice, Czech Republic50.1317514.35309
A. patula L.B. Mandak 9275Ladná, Czech Republic48.8095616.89302
B. Mandak 9335Vlădeni, Romania47.4097127.37309
B. Mandak 9285Cluj-Napoca, Barai, Romania46.8579623.90922
A. prostrata DC.B. Mandak 953Helnæs, Denmark55.1227810.03095
A. sagittata Borkh.B. Mandak 9295Cluj-Napoca, Apahida, Romania46.7999923.75494
B. Mandak 9315Vlădeni, Romania47.4146927.37454
B. Mandak 9345Praha-Suchdol, Štěpnice, Czech Republic50.1289814.36737
B. Mandak 9355Litohlavy, Czech Republic49.7703513.55190
Chenopodium bonus-henricus L.B. Mandak 3793Kladrubce, Czech Republic49.4861813.68160
B. Mandak 3833Plužná, Czech Republic50.4715114.79743
B. Mandak 3941Praha, Czech Republic50.1159614.43306
C. hybridum L.B. Mandak 2873Velké Němčice, Czech Republic48.9978616.67289
B. Mandak 2953Kunszentmiklós, Hungary46.9832519.25014
C. polyspermum L.B. Mandak 3112Virt, Slovakia47.7432518.32589
B. Mandak 3942Cehnice, Czech Republic49.2274714.03011
C. pumilio R. Br.B. Mandak 3273Praha, Czech Republic50.0872314.40689
B. Mandak 3623Bachkovo, Bulgaria41.9426024.85230
C. rubrum L.B. Mandak 2812Rejšice, Czech Republic50.3199714.97881
B. Mandak 3122Virt, Slovakia47.7432518.32589
C. suecicum MurrB. Mandak 2643Rumšiškės, Lithuania54.8794024.19795
B. Mandak 3283Švermov, Czech Republic50.1768114.10547
C. urbicum L.B. Mandak 3354Hortobágy, Hungary47.5812521.15842

Note: N = number of individuals used.

One voucher was collected from each sampled population. Herbarium vouchers are deposited in the author’s collection at the Czech University of Life Sciences in Prague. Collector name and unique population number in our database are indicated.

Individual used to create a DNA genomic library.

Populations used for evaluating the quality of developed microsatellite loci.

  10 in total

1.  QDD: a user-friendly program to select microsatellite markers and design primers from large sequencing projects.

Authors:  Emese Meglécz; Caroline Costedoat; Vincent Dubut; André Gilles; Thibaut Malausa; Nicolas Pech; Jean-François Martin
Journal:  Bioinformatics       Date:  2009-12-10       Impact factor: 6.937

2.  A simple new method for estimating null allele frequency from heterozygote deficiency.

Authors:  J F Brookfield
Journal:  Mol Ecol       Date:  1996-06       Impact factor: 6.185

3.  High-throughput microsatellite isolation through 454 GS-FLX Titanium pyrosequencing of enriched DNA libraries.

Authors:  Thibaut Malausa; André Gilles; Emese Meglécz; Hélène Blanquart; Stéphanie Duthoy; Caroline Costedoat; Vincent Dubut; Nicolas Pech; Philippe Castagnone-Sereno; Christophe Délye; Nicolas Feau; Pascal Frey; Philippe Gauthier; Thomas Guillemaud; Laurent Hazard; Valérie Le Corre; Brigitte Lung-Escarmant; Pierre-Jean G Malé; Stéphanie Ferreira; Jean-François Martin
Journal:  Mol Ecol Resour       Date:  2011-02-21       Impact factor: 7.090

4.  Genetic structure of experimental populations and reproductive fitness in a heterocarpic plant Atriplex tatarica (Chenopodiaceae).

Authors:  Bohumil Mandák; Katerina Bímová; Ivana Placková
Journal:  Am J Bot       Date:  2006-11       Impact factor: 3.844

5.  genepop'007: a complete re-implementation of the genepop software for Windows and Linux.

Authors:  François Rousset
Journal:  Mol Ecol Resour       Date:  2008-01       Impact factor: 7.090

6.  ESTIMATING F-STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE.

Authors:  B S Weir; C Clark Cockerham
Journal:  Evolution       Date:  1984-11       Impact factor: 3.694

7.  Microsatellite markers isolated from a polyploid saltbush, Atriplex nummularia Lindl. (Chenopodiaceae).

Authors:  Margaret Byrne; Margaret Hankinson; Jane F Sampson; Sean Stankowski
Journal:  Mol Ecol Resour       Date:  2008-08-14       Impact factor: 7.090

8.  How much genetic variation is stored in the seed bank? A study of Atriplex tatarica (Chenopodiaceae).

Authors:  B Mandák; K Bímová; V Mahelka; I Placková
Journal:  Mol Ecol       Date:  2006-08       Impact factor: 6.185

9.  Loss of genetic variation in geographically marginal populations of Atriplex tatarica (Chenopodiaceae).

Authors:  Bohumil Mandák; Katerina Bímová; Ivana Placková; Václav Mahelka; Jindrich Chrtek
Journal:  Ann Bot       Date:  2005-08-17       Impact factor: 4.357

10.  The complexity underlying invasiveness precludes the identification of invasive traits: A comparative study of invasive and non-invasive heterocarpic Atriplex congeners.

Authors:  Jana Doudová; Jan Douda; Bohumil Mandák
Journal:  PLoS One       Date:  2017-04-26       Impact factor: 3.240

  10 in total

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