Literature DB >> 31993259

Seventeen new microsatellites for Tamarix gallica and cross-amplification in Tamarix species.

Alejandro Terrones1, Ana Juan1.   

Abstract

PREMISE: Microsatellite markers were developed for the western Mediterranean tree Tamarix gallica (Tamaricaceae) as part of a study of its genetic diversity and structure. METHODS AND
RESULTS: Seventeen microsatellite markers were developed for T. gallica, 14 of which were polymorphic. These microsatellites have di-, tri-, and tetranucleotide repeats with 1-13 alleles per locus and population. Levels of observed and expected heterozygosity ranged from 0.000 to 0.900 and from 0.000 to 0.863, respectively. Six microsatellites showed significant deviations from Hardy-Weinberg equilibrium in at least one population. Cross-amplification in 19 Tamarix species showed a wide transferability to other species of the genus.
CONCLUSIONS: The 14 new polymorphic microsatellite markers will be used to assess the genetic diversity and population genetic structure of T. gallica. Additionally, the successful cross-species amplification suggests their potential usefulness for investigating species delimitation and population genetics in the genus Tamarix.
© 2020 Terrones and Juan. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America.

Entities:  

Keywords:  Tamaricaceae; Tamarix gallica; genetic diversity; saltcedar; simple sequence repeat (SSR) markers; species delimitation

Year:  2020        PMID: 31993259      PMCID: PMC6976893          DOI: 10.1002/aps3.11317

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


Tamarix gallica L. is a widespread tree that forms woodlands in the western Mediterranean Basin in saline habitats such as salt marshes, ravines, and rivers with brackish waters (Baum, 1978). This species is closely related to and commonly confused with T. canariensis Willd. because of their similar morphology, anatomy, and phenology (Villar et al., 2019). Hybridization is common in the genus Tamarix L., making the species delimitation of T. gallica not well resolved (Villar et al., 2019). In addition, this and various other species of Tamarix have been reported as widespread invasives in North America (Villar et al., 2019). Simple sequence repeat (SSR) markers (also referred to as microsatellites) are useful tools to help resolve species delimitation. Some microsatellite markers have already been described in the genus Tamarix (Gaskin et al., 2006; Terzoli et al., 2010, 2013; Zhang et al., 2019), but no study has focused on describing genomic SSR markers for T. gallica. Consequently, as part of a study of the genetic diversity and structure of T. gallica in the western Mediterranean Basin, the aim of this work is to characterize new polymorphic microsatellite markers for T. gallica. Cross‐species amplification was also tested in 19 species of Tamarix to aid with future taxon delimitation studies and population genetic studies of the genus both in native and invaded areas, particularly with respect to hybridization.

METHODS AND RESULTS

DNA extraction was carried out from silica gel–dried leaves by a modified cetyltrimethylammonium bromide (CTAB) method (Csiba and Powell, 2006). For the microsatellite library, 12 individuals of T. gallica and T. boveana Bunge were selected from two different populations. A microsatellite library enriched with TG, TC, AAC, AAG, AGG, ACG, ACAT, and ACTC motifs was prepared from the pooled DNA by Genoscreen (Lille, France) using a 454 GS‐FLX (Roche Diagnostics, Meylan, France) high‐throughput DNA sequencer (Malausa et al., 2011). Sequencing provided 22,418 reads with an average length of 220 bp. Raw sequences were searched for microsatellites with QDD version 3.1.2 (Meglécz et al., 2014) with default settings, which produced primers for 248 loci. To identify and eliminate known transposable elements and contaminants, these sequences were queried with RepeatMasker version open‐4.0.3 (Smit et al., 2015) in the database Repbase version 20140131 (Bao et al., 2015), and with BLAST+ version 2.2.28+ (https://blast.ncbi.nlm.nih.gov/Blast.cgi) in the National Center for Biotechnology Information (NCBI) nucleotide database. A total of 219 loci were developed for downstream testing. The number of primer pairs was reduced according to the following criteria (based on Guichoux et al., 2011 and Meglécz et al., 2014): (1) high number of repeats, (2) pure repeats over compound repeats, (3) tri‐ and tetranucleotide repeats over dinucleotide repeats, (4) varying PCR product sizes and repeat motifs, (5) MIN_PRIMER_TARGET_DIST > 20, and (6) DESIGN A or B. Based on these criteria, primers for 52 loci were synthesized (Eurofins Genomics, Ebersberg, Germany). An M13 tail was attached to the 5′ end of the forward primers (Schuelke, 2000). Each locus was amplified for 12 individuals of T. gallica from four different populations (Appendix 1). PCRs were conducted in a final volume of 25 μL with DreamTaq PCR Master Mix (2×) (Thermo Scientific, Vilnius, Lithuania) with 40 ng of template DNA, and a final concentration of 0.2 μM of each primer and 20 ng/μL of bovine serum albumin (BSA) (Thermo Scientific). PCRs were conducted on a GeneAmp PCR System 9700 (Applied Biosystems, Foster City, California, USA) with the following conditions: an initial denaturation of 95°C for 5 min; followed by 35 cycles of 95°C for 30 s, 56°C for 45 s, and 72°C for 45 s; and a final extension at 72°C for 10 min. PCR products were run on a 2.5% agarose gel stained with ethidium bromide. Loci with multiple bands or with non‐successful amplification across all samples were discarded. Fluorescent labeling of the 29 loci that amplified successfully was performed in simplex for the 12 samples with a three‐primer protocol including a universal M13 primer fluorescently labeled with FAM, HEX, or TAMRA dyes (Schuelke, 2000). Fluorescent‐labeled PCRs were conducted in a final volume of 10 μL with DreamTaq PCR Master Mix (2×) with 20 ng of template DNA, and a final concentration of 0.04 μM of the M13‐tailed forward primer, 0.16 μM of the reverse primer, 0.16 μM of the fluorescent‐labeled M13 primer, and 50 ng/μL of BSA. PCR conditions were as follows: an initial denaturation of 95°C for 5 min; followed by 30 cycles of 95°C for 30 s, 56°C for 45 s, and 72°C for 45 s; followed by 10 cycles of 95°C for 30 s, 53°C for 45 s, and 72°C for 45 s; and a final extension at 72°C for 10 min. PCR products were pooled in equimolar concentrations and run on an ABI Prism 310 Genetic Analyzer (Applied Biosystems) with GeneScan 500 Size Standard (Applied Biosystems) in the Research Technical Services of the University of Alicante (Alicante, Spain). Electropherograms were scored with Peak Scanner Software 2 (Thermo Fisher Scientific, Waltham, Massachusetts, USA). Markers with excessive stuttering, with more than two alleles, or that were difficult to score were discarded, resulting in 17 microsatellite loci, 14 of which were polymorphic (Table 1). These 14 loci were analyzed across 122 individuals from four populations of T. gallica in subsequent analyses (Appendix 1). To reduce the number of PCR reactions, some loci were multiplexed. Markers were combined to avoid size overlap, resulting in nine reactions, four in simplex and five in 2‐plex, that were pooled and run in three different mixes (Table 1). For the simplex reactions, the PCR conditions were the same as described above. In the 2‐plex reactions, PCR conditions were the same as described for fluorescent‐labeled simplex reactions except for the final primer concentrations (Table 1) and the double concentration of the fluorescent‐labeled M13 primer (0.32 μM). Allele calling was done with Peak Scanner Software 2, and allelic binning was done manually with the use of cumulative frequency plots of size distribution (Guichoux et al., 2011).
Table 1

Characteristics of the 17 microsatellite loci developed in Tamarix gallica that successfully amplified.

Locusa Primer sequences (5′–3′)Repeat motifAllele size range (bp) A MixFluorescent dyeConcentration (F/R) (μM)b GenBank accession no.
T125‐4 F: TGGAAGGTAAGAAGAGGATAAGAGA (TGTA)7 121–14571FAM0.04/0.16 MN497849
R: AAAGCCTCACCCAAACCTCT
T133‐2 F: AGCAGAATGGTTGATCCTTG (TC)10 129–15171HEX0.04/0.16 MN497850
R: TGGGTGCTAATTTCTGGAGTG
T129‐2 F: CACTATAGAAATAGGTGACACATGC (CA)7 115–151161TAMRA0.06/0.24 MN497851
R: CCATTTCTAGGGTGATTAGGTTG
T163‐3 F: CGAAGGTAAGACCCAGTTGC (CTC)7 186–19851TAMRA0.04/0.16 MN497852
R: TGGAGAGTGCTTGAACTTGA
T140‐31 F: TGGTTTGAAGCTTACTGGTTG (TTC)8 137–15272FAM0.04/0.16 MN497853
R: GGATTACTTCAGAATATACAAGCTCA
T113‐3 F: TGAGAAGCATTCCAAACCAA (GAT)7 93–9932HEX0.04/0.16 MN497854
R: GAGGACATTAATGCCACTGGA
T190‐32 F: CTCCAATCCATCGCTCTCA (CGA)8 128–13542HEX0.04/0.16 MN497855
R: GGCGGACGACTTTGCTTAT
T190‐3 F: GAAATAATCTTAACTTGATGGCCAAG (GAG)7 168–18962TAMRA0.04/0.16 MN497856
R: GGAGCTAAAGTTGAAAAAGAGTTGA
T214‐3 F: TTGACATGCCTCTTGAGGTG (ATT)5 104–10722TAMRA0.04/0.16 MN497857
R: TCCATTCCTAGTTGCTACAATCA
T145‐3 F: ACTTGCTTTCTTCACCGCAT (TCT)13 90–117103FAM0.04/0.16 MN497858
R: GGAGGATTTGAAGAATGTTGGA
T134‐31 F: CCCTTAGCCTCCCTTGTTTC (TCT)12 141–16873HEX0.04/0.16 MN497859
R: TCATGCTTGCAGAGAAGACG
T190‐33 F: TTGTTGCTGATGGGTGATTC (CTT)6 107–11333HEX0.04/0.16 MN497860
R: CCTTGTACTTGAAGTGTATGGCA
T140‐32 F: CCTTCACTCCTTCTGTTGCC (CTT)7 123–13243TAMRA0.04/0.16 MN497861
R: TTGGTGGATGTGGTATGGTG
T230‐2 F: AACAAAGCAAATTTGGCAGC (TC)12 232–265143TAMRA0.06/0.24 MN497862
R: CGTGTTAAATTCTGGGACGG
T168‐2 F: TGGACCGTCTTCTCGTCTTC (GA)7 169M MN560186
R: TAAGTGATGGCACAGAACGC
T193‐3 F: TGGGAGTTTAGTTGTCTGTAGCC (TTC)14 188M MN560187
R: AAGAGAAGCATCATTAGCAAGG
T300‐2 F: AAACTAATCCCCAACCCTTTC (AC)6 299M MN560185
R: TCAGGAACAATGGCAAGTGA

A = number of alleles; M = monomorphic.

The annealing temperature was 56°C for all loci.

PCR primer concentration.

Characteristics of the 17 microsatellite loci developed in Tamarix gallica that successfully amplified. A = number of alleles; M = monomorphic. The annealing temperature was 56°C for all loci. PCR primer concentration. GenAlEx version 6.503 (Peakall and Smouse, 2006) was used to calculate the number of alleles, effective number of alleles, and levels of observed and expected heterozygosities for each population, and to test for Hardy–Weinberg equilibrium (P < 0.05) (Table 2). Evidence of linkage disequilibrium was assessed by GENEPOP version 4.7.2 (Rousset, 2008) based on 10,000 permutations (P < 0.05). MICRO‐CHECKER version 2.2.3 (van Oosterhout et al., 2004) was used to estimate null allele frequencies.
Table 2

Genetic properties of the 14 polymorphic microsatellites developed in Tamarix gallica.

LocusAntas (n = 30)Cagliari (n = 30)Elche (n = 30)Tablas de Daimiel (n = 32)
A A e H o H e Null alleles A A e H o H e Null alleles A A e H o H e Null alleles A A e H o H e Null alleles
T125‐462.6630.8330.62452.8750.5670.65264.3270.7670.76951.9280.5000.481
T133‐241.5150.133* 0.3400.22762.4590.433* 0.5930.11752.2170.233* 0.5490.25442.5570.281* 0.6090.244
T129‐2135.9410.9000.83297.3170.8330.86382.9650.7330.66353.1310.8130.681
T163‐331.2680.2330.21242.0020.4330.50131.4120.2670.29221.0640.0630.061
T140‐3163.1140.6330.67932.4560.5330.59342.3080.5000.56742.1140.5000.527
T113‐332.3350.300* 0.5720.22131.8020.5000.44532.2990.500* 0.56531.5750.3750.365
T190‐3242.0020.533* 0.50121.3420.3000.25521.7630.5000.43321.8820.3130.4690.152
T190‐321.2200.2000.18051.9500.5000.48741.3670.3000.26821.3980.2810.285
T214‐311.0000.0000.00021.7630.5000.43311.0000.0000.00011.0000.0000.000
T145‐3a 84.0940.357* 0.7560.25686.0810.400* 0.8360.25253.1470.333* 0.6820.24674.8300.469* 0.7930.202
T134‐3141.4100.2670.29142.4620.6330.59441.4680.3330.31942.1900.5310.543
T190‐3311.0000.0000.00031.3500.3000.25911.0000.0000.00011.0000.0000.000
T140‐3242.7990.400* 0.6430.18321.4710.200* 0.3200.15341.9780.5330.49432.1180.3440.5280.165
T230‐283.7110.467* 0.7310.17763.3960.7000.706103.2730.5330.6940.11641.6530.3130.395

A = number of alleles; A e = effective number of alleles; H e = expected heterozygosity; H o = observed heterozygosity; n = number of individuals sampled.

For locus T145‐3 in Antas population, n = 28.

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

Genetic properties of the 14 polymorphic microsatellites developed in Tamarix gallica. A = number of alleles; A e = effective number of alleles; H e = expected heterozygosity; H o = observed heterozygosity; n = number of individuals sampled. For locus T145‐3 in Antas population, n = 28. Significant deviation from Hardy–Weinberg equilibrium (P < 0.05). The number of alleles per population ranged from one to 13 (Table 2). Levels of observed and expected heterozygosity ranged from 0.000 to 0.900 and from 0.000 to 0.863, respectively. Almost all markers were polymorphic in the four populations, except for T214‐3 and T190‐33, which were only polymorphic in the Cagliari population. Six microsatellites showed null alleles and significant deviations from Hardy–Weinberg equilibrium in at least one population (Table 2), so these markers should be treated with caution in posterior analyses. Seven comparisons between pairs of markers showed significant linkage disequilibrium: T125‐4 with T129‐2, T125‐4 with T163‐3, T125‐4 with T190‐33, T133‐2 with T134‐31, T129‐2 with T190‐33, T163‐3 with T134‐31, and T190‐32 with T190‐3. In addition, we performed cross‐species amplification in 88 individuals from 19 species of the genus Tamarix with the same simplex and 2‐plex PCR reactions used in T. gallica (Appendix 1), demonstrating wide transferability to other species of the genus such as T. boveana, T. africana Poir., and T. canariensis (Table 3).
Table 3

Size ranges (in base pairs) of the 14 polymorphic microsatellite loci developed in Tamarix gallica cross‐amplified in 19 Tamarix species.

SpeciesT125‐4T133‐2T129‐2T163‐3T140‐31T113‐3T190‐32T190‐3T214‐3T145‐3T134‐31T190‐33T140‐32T230‐2
T. africana (n = 16)131–159116–137184–187134–16387–99129165–17110493–111150–165208–209229–247
T. amplexicaulis (n = 4)129–133118186160–17296129122–13796–102144208129236–240
T. aphylla (n = 3)128192131–13493 (1)104156209–210132
T. arceuthoides (n = 2)131115183–189128–16193129–135171–18310496–105156–165110126234–239
T. boveana (n = 18)113–129131–133119–129184–195137–15796–99129–132171–19510496–114150–162110114–129232–247
T. canariensis (n = 12)117–141131–159115–133187–189128–15793–96129165–177104–10793–117150–162110–209126–132 (5)229–261
T. chinensis (n = 1)131–1351011801289612616810499156183123238
T. dalmatica (n = 4)131–139123 (1)181–186137–15796 (1)129 (1)165 (1)10496 (2)150–159 (2)198–208126–189229–243 (3)
T. hampeana (n = 3)131–139104–125180–195128–13593–96129–135174–192 (2)10493–99110–209123
T. hispida (n = 1)131–135109189143–14696129–13216710496150107123239
T. hohenackeri (n = 2)117–129 (1)131117–134183–195126–129129–132171–18010499–126150 (1)110–113123232–241
T. leptostachya (n = 1)131123–127186135–142129168–17410490–99150123234–245
T. minoa (n = 3)131–139119–127186–189137–15793–96129–132192–195104150–153110–208123–126235–260
T. nilotica (n = 6)13111518912893129171104109153–159110126–129240–267
T. parviflora (n = 3)160 (2)131–149123–133189128–1449312917710496153–165110–208123232–236
T. ramosissima (n = 1)13112418012812616810490208123238
T. smyrnensis (n = 2)131–149113–123180–189129129–132171–18310499 (1)150 (1)208123 (1)234–236
T. tetragyna (n = 3)129–133113–127183–19513796129–132174–177 (2)10491–99 (2)150–162110126235–243
T. usneoides (n = 3)135–137183–189137–14093153–165 (2)104162–168208141

Numbers in parentheses indicate the number of samples that successfully amplified. No number in parentheses indicates that all samples were successfully amplified. A dash indicates no successful amplification for any sample.

Size ranges (in base pairs) of the 14 polymorphic microsatellite loci developed in Tamarix gallica cross‐amplified in 19 Tamarix species. Numbers in parentheses indicate the number of samples that successfully amplified. No number in parentheses indicates that all samples were successfully amplified. A dash indicates no successful amplification for any sample.

CONCLUSIONS

The 14 polymorphic microsatellite markers described here showed high variability and will be used to assess the genetic diversity and population genetic structure of T. gallica. Additionally, the successful rates of cross‐species amplification suggest their potential usefulness to assess population genetic parameters and provide data on the role of interspecific hybridization in the genus.

AUTHOR CONTRIBUTIONS

A.T. helped design the experiment, conducted the lab work, analyzed the results, and helped write the article. A.J. helped design the experiment and write the article.
SpeciesVoucher specimen accession no.a Collection localityGeographic coordinates (WGS84) N
T. africana Poir.ABH 73511Portugal, Baixo Alentejo, Melides, Lagoa de Melides38.129, −8.7892
 ABH 70789Spain, Castellón, Burriana, Clot de la Mare de Déu39.879, −0.05512
 ABH 70742Spain, Murcia, Águilas, Rambla de Minglano de Cañarete37.433, −1.6292
T. amplexicaulis Ehrenb.ABH 70685Algeria, Biskra, N3 crossing with Oumache, Km 33634.719, 5.7394
T. aphylla (L.) H. KarstABH 70064Italy, Sardinia, Oristano, Cabras, Is Aruttas39.954, 8.4031
 ABH 71909Morocco, Nador, Berkane, Oued Moulouya35.103, −2.3601
 ABH 54208Morocco, Nador, Driouch34.972, −3.3601
T. arceuthoides BungeMO 5568719Iran, Esfahan, Road from Tehran to Nain, south of junction to Esfahan33.0152, 52.52381
 MO 5568891Iran, Qom, old rd. from Tehran to Qom35.1705, 50.97771
T. boveana BungeABH 70782Spain, Alicante, Santa Pola, Salinas de Santa Pola38.184, −0.6026
 ABH 68315Spain, Almería, Cabo de Gata36.773, −2.23812
T. canariensis Willd.ABH 69606Spain, Canary Islands, Gran Canaria, beach of La Aldea de San Nicolás27.996, −15.82412
T. chinensis Lour.Gaskin 202South Korea1
T. dalmatica B. R. BaumABH 57833Albania, Shkoder, next to rd. at south of Shkoder41.968, 19.5471
 ABH 57829Albania, Vlore, Sarande, Borsh40.047, 19.8461
 ABH 57830Albania, Vlore, Sarande, Vrion, rd. from Greece to Sarande39.904, 20.0841
 ABH 57843Montenegro, Bar, south of Bar42.093, 19.1041
T. gallica L.ABH 70037Italy, Sardinia, Cagliari, Stani Simbirizzi39.2631, 9.208630
 ABH 69543Spain, Alicante, Elche, Pantano de Elche38.3174, −0.71830
 ABH 67467Spain, Almería, Vera, río Antas37.2054, −1.829130
 ABH 73456Spain, Ciudad Real, Daimiel, Tablas de Daimiel39.1521, −3.710632
T. hampeana Boiss. & Heldr.ABH 59877Greece, Central Greece, Molos‐Agios Konstantinos, Neo Thronio38.834, 22.7031
 ABH 59025Greece, Epirus, Igoumenitsa, Marshes at NW of Igoumenitsa39.525, 20.1981
 ABH 57891Montenegro, Ulcinj, Sveti Nikola, Bojana river41.870, 19.3521
T. hispida Willd.Gaskin 10164China1
T. hohenackeri BungeMO 5568893Iran, Gilan, rd. from Rasht to Tehran, near Gangeh, south of Rasht36.8641, 49.48111
 MO 5568696Iran, Semnan, NE of Sharud toward Gorgon36.7252, 55.29751
T. leptostachya BungeGaskin 10177China1
T. minoa J. L. Villar, Turland, Juan, Gaskin, M. Á. Alonso & M. B. CrespoABH 54194Greece, Crete, Chania, Georgioupoli35.365, 24.2481
 ABH 54195Greece, Crete, Chania, near Platanias35.356, 24.2601
 MO 6207620Greece, Crete, Nomos Chanion, Eparchia Apokoronou Georgioupoli beach35.359, 24.2661
T. nilotica (Ehrenb.) BungeABH 54320Greece, Crete, Chania, Paleochora beach35.223, 23.6701
 ABH 54314Greece, Crete, Heraklion, Aposelemis35.330, 25.3271
 ABH 54317Greece, Crete, Heraklion, Kalo Nero35.014, 26.0461
 ABH 54326Greece, Crete, Heraklion, near Dermatos34.979, 25.3351
 ABH 54323Greece, Crete, Heraklion, near Dermatos34.979, 25.3241
 ABH 54316Greece, Crete, Lassithi, Xerokambos35.051, 26.2321
T. parviflora DC.ABH 54197Greece, Crete, Heraklion, near Aposelemis35.321, 25.3271
 ABH 54321Greece, Crete, Heraklion, near Dermatos34.979, 25.3241
 ABH 55398Spain, Alicante, Biar, Santuario Mare de Déu de Gràcia38.629, −0.7601
T. ramosissima Ledeb.W 2009‐19143Argentina, San Juan, Ullum, at Termas de Talacasto−31.03, −68.751
T. smyrnensis BungeW 2003‐14043Armenia, Vayots'Dzor, Yeghegnadzor39.68, 45.221
 Gaskin 4690‐06Turkey1
T. tetragyna Ehrenb.W 2007‐14048Egypt, New Valley, Western Desert Dakhleh Oasis25.667, 28.8701
 W 2007‐25728Egypt, South Sinai, Dahab, Wadi Qnai, Oase, salzreicher Feuchtstandort28.4532, 34.44921
 W 2007‐07364Jordan, Al Asimah, 11.5 km NE end of Dead Sea, 2 km N v. Tell Iktanu31.833, 35.6761
T. usneoides E. Mey.ABH 58684Namibia, Erongo, Swerkobmund−22.708, 14.9612
 ABH 58683South Africa, Western Cape, Prince Albert, betw. Lainsburg and Beaufort West−33.085, 21.5791

N = number of individuals.

Vouchers were deposited at the herbaria of Universidad de Alicante, Spain (ABH); research collection of John F. Gaskin, Sidney, Montana, USA (Gaskin); Missouri Botanical Garden, St. Louis, Missouri, USA (MO); and Naturhistorisches Museum Wien, Vienna, Austria (W).

  9 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

2.  Repbase Update, a database of repetitive elements in eukaryotic genomes.

Authors:  Weidong Bao; Kenji K Kojima; Oleksiy Kohany
Journal:  Mob DNA       Date:  2015-06-02

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

Review 4.  Current trends in microsatellite genotyping.

Authors:  E Guichoux; L Lagache; S Wagner; P Chaumeil; P Léger; O Lepais; C Lepoittevin; T Malausa; E Revardel; F Salin; R J Petit
Journal:  Mol Ecol Resour       Date:  2011-05-12       Impact factor: 7.090

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.  QDD version 3.1: a user-friendly computer program for microsatellite selection and primer design revisited: experimental validation of variables determining genotyping success rate.

Authors:  Emese Meglécz; Nicolas Pech; André Gilles; Vincent Dubut; Pascal Hingamp; Aurélie Trilles; Rémi Grenier; Jean-François Martin
Journal:  Mol Ecol Resour       Date:  2014-05-26       Impact factor: 7.090

7.  Development of a novel set of EST-SSR markers and cross-species amplification in Tamarix africana (Tamaricaceae).

Authors:  Serena Terzoli; Isacco Beritognolo; Maurizio Sabatti; Elena Kuzminsky
Journal:  Am J Bot       Date:  2010-05-21       Impact factor: 3.844

8.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

9.  Development and characterization of genomic SSR markers for Tamarix chinensis (Tamaricaceae).

Authors:  Ruhua Zhang; Qiang Wen; Li-An Xu
Journal:  Appl Plant Sci       Date:  2019-01-30       Impact factor: 1.936

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.