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. 2017 Jul 26;5(7):apps.1700023. doi: 10.3732/apps.1700023

Characterization of microsatellite markers in the African tropical tree species Guibourtia ehie (Fabaceae, Detarioideae)1

Félicien Tosso 2,3,7, Jean-Louis Doucet 2, Jérémy Migliore 3, Kasso Daïnou 2,4,5,6, Esra Kaymak 3, Franck S Monthe Kameni 3, Olivier J Hardy 3
PMCID: PMC5546166  PMID: 28791206

Abstract

Premise of the study:

Microsatellite primers (simple sequence repeats [SSRs]) were developed in Guibourtia ehie (Fabaceae, Detarioideae) to study population genetic structure and the history of African vegetation.

Methods and Results:

We isolated 18 polymorphic SSRs from a nonenriched genomic library. This set of primer pairs was tested on four populations, and the results showed two to 16 alleles per locus with mean observed and expected heterozygosities of 0.27 ± 0.05 and 0.57 ± 0.05, respectively. Cross-amplification tests in 13 congeneric species were successful for the four taxa belonging to the subgenus Gorskia.

Conclusions:

This set of microsatellite markers will be useful to investigate the phylogeography and population genetics of G. ehie, a key representative of African semideciduous moist forests.

Keywords: Fabaceae, Guibourtia ehie, microsatellites, next-generation sequencing


Guibourtia ehie (A. Chev.) J. Léonard (Fabaceae, Detarioideae) is a timber species found in evergreen and semideciduous moist forests from Liberia to Gabon (Tosso et al., 2015). It is distributed on both sides of the Dahomey Gap, a portion of forest–savanna mosaic separating the Upper and Lower Guinean rainforest blocks (Salzmann and Hoelzmann, 2005). Guibourtia ehie is an insect-pollinated and wind-dispersed species (Tosso et al., 2015) exhibiting an abundant natural regeneration around the mother plant (Lemmens et al., 2008). Known as ovengkol in Gabon and amazakoué in Ivory Coast, it produces wood of high economic value. The major threat to this species (registered as vulnerable on the IUCN Red List) is logging, which causes local population declines (Hawthorne, 1995). Guibourtia ehie is therefore a good candidate to assess the impact of logging on gene flow (pollen and seed dispersal) and to study spatial genetic diversity issues before considering conservation plans. In addition, the wide spatial distribution of this species will likely be useful to better understand the history of African vegetation and the role of the Dahomey Gap in relation to successive past environmental changes. Because only a few of the microsatellites (simple sequence repeats [SSRs]) previously developed for G. tessmannii (Harms) J. Léonard (a central African species) cross-amplified in G. ehie (Tosso et al., 2016), we developed here a new set of polymorphic SSRs.

METHODS AND RESULTS

Development of microsatellites

To identify and characterize SSRs, total genomic DNA was extracted (from G. ehie dry leaf, voucher FT0272; Appendix 1) following the cetyltrimethylammonium bromide (CTAB) protocol described in Fu et al. (2005). We used the Illumina MiSeq platform (GIGA platform, Liège, Belgium; Illumina, San Diego, California, USA) to construct a nonenriched genomic DNA library following Mariac et al. (2014), generating 255,460 paired-end reads 145 ± 3 bp long, which were pair-assembled with PANDAseq (Masella et al., 2012). The software QDD with the default settings (Meglécz et al., 2014) was used to identify 3597 microsatellite loci following the three classical steps: (i) SSR detection, (ii) elimination of similar sequences, and (iii) primer design. Among the 3597 loci, we selected a subset of 64 loci according to the following criteria: (i) having at least eight di- or trinucleotide repeats, (ii) having primers located at least 20 bp from the SSR motif, and (iii) characterized by PCR products 130–300 bp long. To have a good distribution of loci sizes and to facilitate multiplexing in the next steps, we then selected 48 loci for amplification tests. Each locus was labeled with the fluorochromes FAM, NED, VIC, or PET by adding one of four possible linkers (Q1–Q4; Micheneau et al., 2011) to the 5′ end of the forward primer (Table 1).

Table 1.

Characteristics of 19 nuclear microsatellite markers developed for Guibourtia ehie.

Locusa Primer sequences (5′–3′) Fluorescent labelb Repeat motif Allele size range (bp) GenBank accession no.
Multiplex 1
 GuiE-ssr39 F: CACTGCTTAGAGCGATGCTCGGTTAGTGAAATGGTTGTTG Q3-VIC (AT)14 132–156 KY929303
R: ATTAGTTCCATGATCATTACTTCAAA
 GuiE-ssr34 F: TAGGAGTGCAGCAAGCATGCATTGTTGGAATGATAAATTCAC Q2-NED (AT)10 152–180 KY929300
R: GGATTCAACTATGAAAGGAAACA
 GuiE-ssr18 F: TAGGAGTGCAGCAAGCATCAAGTGGGTTCATTGCGTTA Q2-NED (AG)14 180–190 KY929294
R: CGTTGGCTGTGAAGAGAAAGT
 GuiE-ssr05 F: TGTAAAACGACGGCCAGTTGACCCAACATATAGAGCATGAG Q1-6-FAM (TC)9 262–264 KY929289
R: CCCTATGGGTGATTGTATGC
 GuiE-ssr33 F: TGTAAAACGACGGCCAGTTTAAACCCTAAAGCACAATCAAA Q1-6-FAM (AG)11 142–153 KY929299
R: CCAAGGCATCCACATGAACTA
Multiplex 2
 GuiE-ssr36 F: TAGGAGTGCAGCAAGCATCAAAGGACCTTCCTGCAACT Q2-NED (CT)13 147–163 KY929301
R: TCAAGTACGATCCTCAGAAATCTT
 GuiE-ssr03 F: CTAGTTATTGCTCAGCGGTAATGAGGCAGCTTGCATTG Q4-PET (TG)13 219–283 KY929287
R: CGCTAATTAGTTGATACTATGCTCG
 GuiE-ssr02 F: CACTGCTTAGAGCGATGCTTAGTAGCTGAATTTCTCATGCAA Q3-VIC (ATT)10 262–294 KY929286
R: CGCTAATTAGTTGATACTATGCTCG
 GuiE-ssr06 F: CACTGCTTAGAGCGATGCCCTAAAGCCAAGTGATCCCA Q3-VIC (TA)14 232–294 KY929290
R: GAATTGAAGAATGAGATGCCAA
 GuiE-ssr31 F: TGTAAAACGACGGCCAGTTTAAACCCTAAAGCACAATCAAA Q1-6-FAM (AG)11 143–153 KY929298
R: CCAAGGCATCCACATGAAC
Multiplex 3
 GuiE-ssr01 F: TGTAAAACGACGGCCAGTCATGGATCACAAACCCGTTA Q1-6-FAM (AG)11 308–316 KY929285
R: GTGCTAAATTCCTATTTGGTCTTACTG
 GuiE-ssr04c F: CTAGTTATTGCTCAGCGGTAATGCCTAATGGGTAAAGCC Q4-PET (CAT)8 267 KY929288
R: TCCAAGTTTAGAACTTTAAATAGGTTG
 GuiE-ssr15 F: CACTGCTTAGAGCGATGCTGGACTCAGATGATCCATTGTT Q3-VIC (CT)14 200–230 KY929293
R: TGCATACACTAGGAAGGAACGA
 GuiE-ssr21 F: TGTAAAACGACGGCCAGTCCCACGAGTGAGAGTGAAGG Q1-6-FAM (TC)22 141–189 KY929295
R: TCACATTACCAGTCTTCCTTGTC
 GuiE-ssr38 F: TAGGAGTGCAGCAAGCATTGTGCCAAAGATACTCCCAA Q2-NED (AG)10 143–152 KY929302
R: TGTGGTAGTCAAGCACCCAA
Multiplex 4
 GuiE-ssr08 F: CTAGTTATTGCTCAGCGGTACATGGCTTCTGGTGACGTT Q4-PET (TA)21 222–260 KY929291
R: GAACGGCCTTACAAACGAAA
 GuiE-ssr11 F: CTAGTTATTGCTCAGCGGTTTCTCACGTCTACTTTCAAATCATTG Q3-VIC (AT)14 205–245 KY929292
R: CAAATTGCCTGTTGGGTTCT
 GuiE-ssr28 F: CTAGTTATTGCTCAGCGGTTTCTCACGTCTACTTTCAAATCATTG Q4-PET (TA)10 159–167 KY929296
R: AAACAAATTTAGTTAAAGGAAGAGGG
 GuiE-ssr30 F: TAGGAGTGCAGCAAGCATATTGATTTCGACAAACACAACA Q2-NED (AG)14 145–157 KY929297
R: CTGAGATATCCTTTGCACATCG
a

Optimal annealing temperature was 57°C and 53°C, respectively, for PCR cycles 1 and 2.

b

The linkers (Q1, Q2, Q3, Q4) attached to the forward primers are underlined in the forward primer sequences.

c

Monomorphic locus.

Microsatellite screening

Amplification tests of 48 primer pairs were performed using two individuals of G. ehie (FT0288 and FT0478; Appendix 1) in 15-μL PCR reactions with the following conditions: 1.5 μL of buffer (10×), 0.6 μL of MgCl2 (25 mM), 0.45 μL of dNTPs (10 mM each), 0.3 μL of each primer (0.2 μM), 0.08 μL of TopTaq DNA Polymerase (5 U/μL; QIAGEN, Venlo, The Netherlands), 1.5 μL of Coral Load, 1 μL of template DNA (of ca. 10–50 ng/μL), and 9.27 μL of water. PCR conditions were: 94°C (4 min); 30 cycles of 94°C (30 s), 57°C (45 s), and 72°C (1 min); and a final extension at 72°C (10 min). Amplification products stained with 9 μL of TE 1× were examined using the QIAxcel DNA Screening Kit (method AL420; alignment marker 15–5000 bp; size marker 100–2500 bp; QIAGEN). Thirty loci amplified the expected target fragments out of the 48 primer pairs selected for the initial trial.

These 30 loci were further tested in eight individuals from Ghana and Cameroon (Appendix 1). PCR reactions were performed for each of the 30 loci in 15-μL total volumes: 0.15 μL of the reverse and 0.1 μL of the forward (0.2 μM for both) microsatellite primers, 0.15 μL of Q1–Q4 labeled primers (0.2 μM each), 7.5 μL of Type-it Microsatellite PCR Kit (QIAGEN), 3 μL of 5× Q-solution, 3.1 μL of H2O, and 1 μL of DNA. PCR conditions were: 5-min initial denaturation at 95°C; followed by 25 cycles of 95°C for 30 s, 57°C for 90 s, and 72°C for 1 min; 10 cycles of 94°C for 30 s, 53°C for 45 s, and 72°C for 60 s; and a final elongation step at 60°C for 30 min. All individuals were genotyped on an ABI3730 sequencer (Applied Biosystems, Lennik, The Netherlands) at the Department of Evolutionary Biology and Ecology, Université Libre de Bruxelles (Brussels, Belgium) using 1.1 μL of each PCR product, 12 μL of Hi-Di Formamide (Life Technologies, Carlsbad, California, USA), and 0.3 μL of MapMarker 500 labeled with DY-632 (Eurogentec, Seraing, Belgium). We selected 19 primer pairs exhibiting clear chromatograms with no ambiguity in allele size determination. Eighteen primer pairs were polymorphic, and one locus (GuiE-ssr04) was monomorphic.

These loci were included in four multiplexed reactions (Table 1) using Multiplex Manager 1.0 software (Holleley and Geerts, 2009). To assess their polymorphism level, we genotyped between 15 and 23 individuals in each of four populations from Ghana, Ivory Coast, Liberia, and Cameroon, totaling 78 samples (Table 2, Appendix 1). We conducted multiplexed PCR reactions with the conditions as previously described, except that we readjusted the quantity of H2O to obtain a total volume of 15 μL.

Table 2.

Genetic characterization of 19 newly developed microsatellite markers in four populations of Guibourtia ehie.a

Ghana (N = 20) Ivory Coast (N = 23) Cameroon (N = 15) Liberia (N = 20)
Locus A Ho He Fb A Ho He Fb A Ho He Fb A Ho He Fb
Multiplex 1
 GuiE-ssr39 2 0.10 0.19 0.47 2 0.04 0.33 0.87 2 0.07 0.30 0.78 7 0.65 0.77 0.16
 GuiE-ssr34 3 0.45 0.66 0.32 3 0.09 0.64 0.86*** 5 0.07 0.74 0.91*** 3 0.30 0.55 0.46**
 GuiE-ssr18 3 0.00 0.68 1.00*** 3 0.39 0.75 0.48 3 0.67 0.69 0.03 2 0.05 0.50 0.90***
 GuiE-ssr05 1 0.00 0.00 1.00 1 0.00 0.23 1.00 1 0.00 0.24 1.00 2 0.05 0.14 0.65
 GuiE-ssr33 1 0.00 0.00 1.00 1 0.00 0.09 1.00 1 0.00 0.00 1.00 1 0.00 0.00 1.00
Multiplex 2
 GuiE-ssr36 3 0.10 0.53 0.81*** 7 0.22 0.72 0.70*** 8 0.67 0.71 0.07 4 0.10 0.38 0.74
 GuiE-ssr03 3 0.50 0.47 −0.07 7 0.26 0.65 0.60** 8 0.67 0.87 0.23 3 0.10 0.41 0.75
 GuiE-ssr02 5 0.15 0.49 0.69*** 2 0.00 0.54 1.00*** 0 0.00 0.00 1.00 1 0.00 0.43 1.00
 GuiE-ssr06 9 0.60 0.88 0.32*** 7 0.26 0.70 0.63** 7 0.33 0.86 0.61*** 7 0.50 0.84 0.41
 GuiE-ssr31 1 0.00 0.00 1.00 3 0.09 0.44 0.80** 1 0.00 0.00 1.00 1 0.00 0.18 1.00
Multiplex 3
 GuiE-ssr01 2 0.05 0.05 0.00 1 0.00 0.43 1.00 1 0.00 0.24 1.00 1 0.00 0.26 1.00
 GuiE-ssr04 1 0.00 0.00 1.00 1 0.00 0.50 1.00 1 0.00 0.24 1.00 1 0.00 0.26 1.00
 GuiE-ssr15 1 0.00 0.00 1.00 2 0.00 0.51 1.00 4 0.20 0.31 0.35 2 0.00 0.19 1.00*
 GuiE-ssr21 5 0.85 0.78 −0.09 8 0.48 0.86 0.45 4 0.13 0.36 0.63* 4 0.40 0.57 0.30
 GuiE-ssr38 2 0.25 0.22 −0.11 2 0.26 0.65 0.60 3 0.00 0.68 1.00*** 2 0.40 0.58 0.31
Multiplex 4
 GuiE-ssr08 11 0.75 0.92 0.18* 11 0.39 0.88 0.55*** 2 0.00 0.57 1.00** 7 0.50 0.82 0.39
 GuiE-ssr11 8 0.40 0.72 0.44*** 10 0.43 0.84 0.48 10 0.27 0.88 0.69*** 3 0.20 0.72 0.72*
 GuiE-ssr28 4 0.50 0.48 −0.03 3 0.26 0.68 0.61 1 0.00 0.24 1.00 2 0.45 0.67 0.33
 GuiE-ssr30 3 0.65 0.66 0.01 3 0.26 0.75 0.65** 5 0.53 0.77 0.31 4 0.45 0.77 0.41

Note: A = number of alleles; F = fixation index; He = expected heterozygosity; Ho = observed heterozygosity; N = number of individuals sampled.

a

Locality and voucher information are available in Appendix 1.

b

Significance of deviation from Hardy–Weinberg equilibrium: *P < 0.05; **P < 0.01; ***P < 0.001.

Data analysis

INEst 1.0 (Chybicki and Burczyk, 2009) was used to calculate the following indices on each of the four populations: number of alleles per locus, observed and expected heterozygosities, and inbreeding coefficient. We also tested deviation from Hardy–Weinberg equilibrium for each locus with SPAGeDi (Hardy and Vekemans, 2002).

The mean number of alleles per locus among the four populations was seven (range 1–11). The observed heterozygosity (mean ± SE) was 0.28 ± 0.10 (range 0–0.85), 0.18 ± 0.17 (range 0–0.48), 0.19 ± 0.09 (range 0–0.67), and 0.22 ± 0.07 (range 0–0.65) for the Ghana, Ivory Coast, Cameroon, and Liberia populations, respectively. The expected heterozygosity was 0.41 ± 0.11 (range 0–0.92), 0.59 ± 0.07 (range 0–0.88), 0.46 ± 0.10 (range 0–0.88), and 0.48 ± 0.08 (range 0–0.84) for the Ghana, Ivory Coast, Cameroon, and Liberia populations, respectively. Significant deviation from Hardy–Weinberg equilibrium was observed for 13 loci at least in one population, in part due to the presence of null alleles (Table 2). All these SSR sequences have been deposited in GenBank (Table 1).

Cross-amplification in other Guibourtia species

We tested the 19 loci on 13 congeneric species using the PCR conditions described above. Three to eight of the 19 loci successfully amplified in four species from subgenus Gorskia J. Léonard (to which G. ehie belongs), whereas two to six amplified for subgenus Pseudocopaiva J. Léonard and two to three amplified for subgenus Guibourtia (Table 3). The locus GuiE-ssr15 amplified in all species. The limited transferability of G. ehie SSRs, which was also observed for G. tessmannii SSRs (Tosso et al., 2016), indicates a rather deep molecular divergence among Guibourtia species.

Table 3.

Cross-amplification results of 19 microsatellite markers isolated from Guibourtia ehie and tested in 13 congeneric species belonging to three Guibourtia subgenera.a

Locus Subgenus Gorskia Subgenus Pseudocopaiva Subgenus Guibourtia
G. arnoldiana (N = 3) G. schliebenii (N = 3) G. conjugata (N = 1) G. dinklagei (N = 1) G. tessmannii (N = 10) G. pellegriniana (N = 7) G. coleosperma (N = 6) G. leonensis (N = 1) G. hymenaefolia (N = 1) G. carrissoana (N = 2) G. copallifera (N = 5) G. demeusei (N = 6) G. sousae (N = 1)
Multiplex 1
 GuiE-ssr39 122–136 130 154–156 130 130–136 118 118 132
 GuiE-ssr34
 GuiE-ssr18 180 196–198
 GuiE-ssr05 268–274 248–266 262–270
 GuiE-ssr33
Multiplex 2
 GuiE-ssr36 153–155 136–154 148–172 154–156 144–156 182–206
 GuiE-ssr03
 GuiE-ssr02 278–280
 GuiE-ssr06 200
 GuiE-ssr31
Multiplex 3
 GuiE-ssr01 314 266–272
 GuiE-ssr04
 GuiE-ssr15 242 200–266 200 210–224 204 194–206 174–206 204 214 208 160 208–240 206
 GuiE-ssr21 146 148 156–168 141–146 141 144
 GuiE-ssr38
Multiplex 4
 GuiE-ssr08
 GuiE-ssr11 174–182 182 182
 GuiE-ssr28
 GuiE-ssr30 150–160 157

Note: — = not applicable; N = number of individuals sampled.

a

Locality and voucher information are available in Appendix 1.

CONCLUSIONS

In this study, we developed 18 polymorphic microsatellite markers in G. ehie. These microsatellite markers will be useful to study intraspecific diversity and gene flow. They are also suitable to study the demographic history of G. ehie and provide insights into the past changes in African moist forest cover.

Appendix 1.

Voucher information for the Guibourtia samples used in this study.a

Species N Voucher no. Country Latitude Longitude
Guibourtia ehie (A. Chev.) J. Léonardb 1 FT0272 Ghana 7.09241 −2.11953
Guibourtia ehiec 1 FT0288 Ghana 7.08999 −2.11845
Guibourtia ehiec 1 FT0478 Ivory Coast 6.30892 −5.28866
Guibourtia ehied 5 FT0497, FT0491, FT0515, FT0510, FT0521 Ivory Coast 6.21 −3.41
Guibourtia ehied 3 FT0241, FT0261, FT0241 Ghana 7.07 −2.08
Guibourtia ehied 8 OH4661–OH4668 Cameroon 2.31 9.96
Guibourtia ehied 20 FT0029, FT0038, FT0059, FT0078, FT0087, FT0095, FT0102, FT0104, FT0115, FT0125, FT0137, FT0146, FT0158, FT0163, FT0169, FT0180, FT0192, FT0192a, FT0193, FT0197 Ghana 7.06 −2.08
Guibourtia ehied 23 FT0398–FT0400, FT0336, FT0355, FT0363, FT0373, FT0382, FT0384, FT0389, FT0411, FT0430, FT0465, FT0489, FT0491, FT0497, FT0498, FT0510, FT0515, FT0519, FT0521, FT0858, FT0859 Ivory Coast 6.21 −2.42
Guibourtia ehied 15 FT0398, FT0336, FT0355, FT0363, FT0373, FT0382, FT0384, FT0389, FT0411, FT0430, FT0465, FT0489, FT0491, FT0497, FT0498, FT0510, FT0515, FT0519, FT0521, FT0858, FT0859 Cameroon 2.44 9.92
Guibourtia ehied 20 NB116, NB389, NB391, NB395, NB399, NB401, NB402, NB403, NB405, NB408, NB413, NB414, NB415, NB417, NB418, NB419, NB423, NB424, NB425, NB91 Liberia 7.56 −8.64
Guibourtia arnoldiana (De Wild. & T. Durand) J. Léonarde 3 HB00527556 Gabon −1.3465 9.7232
HB00253056 Congo −4.5 12.23
GiD2040 Gabon −3.4098 11.4185
Guibourtia schliebenii (Harms) J. Léonarde 3 B23-HB10151 Mozambique −11.1529 39.7343
B50-HB3015138 Mozambique −11.8175 40.34167
B51-HB6893814 Mozambique −11.0005 39.7358
Guibourtia conjugata (Bolle) J. Léonarde 1 B33-HB3499528 Mozambique −23.6548 32.1746
Guibourtia dinklagei (Harms) J. Léonarde 1 B21-HB11235 Liberia 6.279 −10.7603
Guibourtia tessmannii (Harms) J. Léonarde 10 FT0607–FT0613, FT0635–FT0636 Cameroon 2.2236 10.3793
FT0001 Gabon 1.4286 11.5886
Guibourtia pellegriniana J. Léonarde 7 B11-HB1578 Congo −1.94472 9.86578
FT0641–FT0646 Gabon −2.53 9.77
Guibourtia coleosperma (Benth.) Léonarde 6 FT0021–FT0025, FT0028 Namibia −17.85 19.67
Guibourtia leonensis J. Léonarde 1 B45-HB3015140 Sierra Leone 8.9852 −11.7169
Guibourtia hymenaefolia (Moric.) J. Léonarde 1 B44-HB252852 Cuba 22.1315 −80.3382
Guibourtia carrissoana (M. A. Exell) J. Léonarde 2 B19-HB10458 Angola −8.9341 13.1864
B20-HB11322 Angola −8.836 13.2593
Guibourtia copallifera Benn.e 5 FT0880–FT0884 Burkina-Faso 9.95 −4.67
Guibourtia demeusei (Harms) J. Léonarde 6 FT0873–FT0875, OH3245 Congo −0.8831 18.123
B15-HB0069 Gabon −2.2487 9.5929
B38-HB527577 DRC 0.807 24.4529
Guibourtia sousae J. Léonarde 1 B52-HB892206 Mozambique −24.6254 33.9579

Note: DRC = Democratic Republic of the Congo; N = number of individuals.

a

Vouchers are deposited at the Herbarium of the Université Libre de Bruxelles, Brussels, Belgium (BRLU), silica gel collection of Dr. Olivier Hardy.

b

Individual used for genomic library.

c

Individuals used for amplification tests.

d

Individuals used for polymorphism tests.

e

Individuals used for cross-amplification tests.

LITERATURE CITED

  1. Chybicki I. J., Burczyk J. 2009. Simultaneous estimation of null alleles and inbreeding coefficients. Journal of Heredity 100: 106–113. [DOI] [PubMed] [Google Scholar]
  2. Fu X., Huang Y., Deng S., Zhou R., Yang G., Ni X., Li W., Shi S. 2005. Construction of a SSH library of Aegiceras corniculatum under salt stress and expression analysis of four transcripts. Plant Science 169: 147–154. [Google Scholar]
  3. Hardy O. J., Vekemans X. 2002. SPAGeDi: A versatile computer program to analyse spatial genetic structure at the individual or population levels. Molecular Ecology Notes 2: 618–620. [Google Scholar]
  4. Hawthorne W. D. 1995. Ecological profiles of Ghanaian forest trees. Tropical Forestry Papers 29. Oxford Forestry Institute, Oxford, United Kingdom. [Google Scholar]
  5. Holleley C. E., Geerts P. G. 2009. Multiplex Manager 1.0: A cross-platform computer program that plans and optimizes multiplex PCR. BioTechniques 46: 511–517. [DOI] [PubMed] [Google Scholar]
  6. Lemmens R. H. M. J., Louppe D., Oteng-Amoako A. A. 2008. Bois d’oeuvre, vol. 2. PROTA, Wageningen, The Netherlands. [Google Scholar]
  7. Mariac C., Scarcelli N., Pouzadou J., Barnaud A., Billot C., Faye A., Kougbeadjo A., et al. 2014. Cost-effective enrichment hybridization capture of chloroplast genomes at deep multiplexing levels for population genetics and phylogeography studies. Molecular Ecology Resources 14: 1103–1113. [DOI] [PubMed] [Google Scholar]
  8. Masella A. P., Bartram A. K., Truszkowski J. M., Brown D. G., Neufeld J. D. 2012. PANDAseq: Paired-end assembler for Illumina sequences. BMC Bioinformatics 13: 31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Meglécz E., Pech N., Gilles A., Dubut V., Hingamp P., Trilles A., Grenier R., Martin J. F. 2014. QDD version 3.1: A user-friendly computer program for microsatellite selection and primer design revisited: Experimental validation of variables determining genotyping success rate. Molecular Ecology Resources 14: 1302–1313. [DOI] [PubMed] [Google Scholar]
  10. Micheneau C., Dauby G., Bourland N., Doucet J.-L., Hardy O. J. 2011. Development and characterization of microsatellite loci in Pericopsis elata (Fabaceae) using a cost-efficient approach. American Journal of Botany 98: e268–e270. [DOI] [PubMed] [Google Scholar]
  11. Salzmann U., Hoelzmann P. 2005. The Dahomey Gap: An abrupt climatically induced rain forest fragmentation in West Africa during the late Holocene. Holocene 15: 190–199. [Google Scholar]
  12. Tosso F., Daïnou K., Hardy O. J., Sinsin B., Doucet J.-L. 2015. Le genre Guibourtia Benn., un taxon à haute valeur commerciale et sociétale (synthèse bibliographique). Biotechnologie, Agronomie, Société et Environnement 19: 71–88. [Google Scholar]
  13. Tosso F., Doucet J.-L., Kaymak E., Daïnou K., Duminil J., Hardy O. J. 2016. Microsatellite development for the genus Guibourtia (Fabaceae, Caesalpinioideae) reveals diploid and polyploid species. Applications in Plant Sciences 4: 1600029. [DOI] [PMC free article] [PubMed] [Google Scholar]

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