Skip to main content
Applications in Plant Sciences logoLink to Applications in Plant Sciences
. 2014 Mar 4;2(3):apps.1300075. doi: 10.3732/apps.1300075

Development of 12 chloroplast microsatellite markers in Vigna unguiculata (Fabaceae) and amplification in Phaseolus vulgaris1

Lei Pan 2,3, Yi Li 2,3, Rui Guo 2,3, Hua Wu 2,3, Zhihui Hu 2,3, Chanyou Chen 2,3,4
PMCID: PMC4103102  PMID: 25202608

Abstract

Premise of the study: Vigna unguiculata is an economically important legume, and the complexity of its variability and evolution needs to be further understood. Based on publicly available databases, we developed chloroplast microsatellite primers to investigate genetic diversity within V. unguiculata and its related species Phaseolus vulgaris.

Methods and Results: Twelve polymorphic chloroplast microsatellite markers were developed and characterized in 62 V. unguiculata individuals. The number of alleles per locus varied between two and four, the unbiased haploid diversity per locus ranged from 0.123 to 0.497, and the polymorphism information content varied from 0.114 to 0.369. In cross-species amplifications, nine of these markers showed polymorphism in 29 P. vulgaris individuals.

Conclusions: The newly developed chloroplast microsatellite markers exhibit variation in V. unguiculata as well as their transferability in P. vulgaris. These markers can be used to investigate genetic diversity and evolution in V. unguiculata and P. vulgaris.

Keywords: chloroplast microsatellite, cross-amplification, Fabaceae, Phaseolus vulgaris, Vigna unguiculata


Cowpea (Vigna unguiculata (L.) Walp.) (2n = 2x = 22), a legume crop of economic importance, is widely distributed in the arid and semiarid regions of Africa, Asia, Europe, Latin America, and some parts of the United States (Citadin et al., 2011). As a member of the legume family, it belongs to Phaseoleae, the same tribe as common bean (Phaseolus vulgaris L.). Compared to its close relatives and many other crop species, V. unguiculata shows a greater tolerance to drought and has the ability to fix nitrogen in poor soils (Muchero et al., 2009). Its grains are a major source of dietary protein for humans, and cowpea hay is fed to livestock as a nutritious fodder (Badiane et al., 2012). However, even though restriction fragment length polymorphism (RFLP), amplified fragment length polymorphism (AFLP), random amplified polymorphic DNA (RAPD), and simple sequence repeat (SSR) molecular makers have been developed for the cowpea nuclear genome, knowledge of variability and evolution in the chloroplast genome of V. unguiculata is limited at the molecular level (Provan et al., 2001; Xu et al., 2010).

Chloroplast microsatellite, or chloroplast simple sequence repeat (cpSSR), markers can be used to detect DNA variability in the chloroplast genome. They have the same characteristics as nuclear microsatellites, including a multiallelic and codominant nature. Moreover, cpSSR markers are found to be polymorphic and transferable among related species because the flanking regions of cpSSR loci are conserved. Of particular importance, cpSSR markers are maternally inherited in most angiosperms, which allow monitoring of influence on population structure by seed-mediated gene flow and pollen flow (Provan et al., 2001). Therefore, they are useful for analysis of population genetics, genetic diversity, paternity analysis, and germplasm resource identification (Provan et al., 2001). In this study, we developed 12 cpSSR markers for V. unguiculata and evaluated their transferability to a related legume species, P. vulgaris. These results will be helpful for the future exploration and germplasm conservation in both V. unguiculata and P. vulgaris, although chloroplast microsatellite diversity in P. vulgaris has been investigated (Angioi et al., 2009; Desiderio et al., 2013).

METHODS AND RESULTS

The complete chloroplast genome sequence of V. unguiculata was downloaded from GenBank (GenBank accession no. NC_018051). The cpSSR loci distributed throughout the V. unguiculata chloroplast genome were screened using SSRHunter 1.3 software (Li and Wan, 2005). SSRs were selected based on the length of the core repeat motif (≥10 nucleotides), for example, five units of dinucleotide repeat motifs, four units of trinucleotide repeat motifs, or three units of tetranucleotide repeat motifs. Primer pairs were designed based on the flanking regions of each SSR locus using Primer3 (Rozen and Skaletsky, 2000). The parameters of each primer were set using the following criteria: (1) primer size of 20–24 nucleotides in length; (2) GC content of 40–60%; (3) annealing temperature between 50–60°C; and (4) expected amplicon size of 100–300 bp. In total, 15 cpSSR primer pairs of V. unguiculata were designed and synthesized (Sangon, Shanghai, China). Twelve of them showed polymorphic bands in V. unguiculata accessions, two were monomorphic, and one primer pair gave no products. The 12 polymorphic markers were used in the following analysis.

A total of 91 samples were used in this study, including 62 V. unguiculata accessions and 29 P. vulgaris accessions (Appendix 1). All the samples were collected from an agricultural field in Anshan (30.46°N, 113.94°E), Caidian District, Wuhan City, and preserved in Hubei Province Engineering Research Center of Legume Plants, Wuhan, China. Tender young leaves of each sample were collected and stored at −80°C until use. Total DNA was extracted from all the samples using the cetyltrimethylammonium bromide (CTAB) method (Doyle and Doyle, 1987). The yield and purity of the DNA were measured using a spectrophotometer SP-1910UVPC (Shanghai, China) at an A260/A280-nm wavelength.

Characteristics of cpSSR markers were examined in both V. unguiculata and P. vulgaris. The same PCR conditions were applied in the two species. The PCR amplifications were performed in a 20-μL reaction mixture containing 1× Taq buffer, 30 ng of genomic DNA, 1.5 mM MgCl2, 200 μM dNTPs, 0.5 μM for each primer, and 0.5 U Taq polymerase (MBI Fermentas, Vilnius, Lithuania). The PCR conditions were as follows: an initial denaturation at 94°C for 5 min; followed by 35 cycles of 30 s at 94°C, 30 s at the locus-specific annealing temperature (Table 1), and 40 s at 72°C; and a final extension at 72°C for 5 min. The PCR products were separated using 6% denaturing polyacrylamide gels (Acr:Bis = 19:1) and visualized with silver staining. Due to the nonrecombining nature of the chloroplast genome, each pair of chloroplast microsatellite primers was considered as a “locus” at a cpSSR site. Length variants of chloroplast microsatellites at each cpSSR site were treated as alleles. Alleles detected from polymorphic primer pairs were used to generate a chloroplast haplotype of each individual; multilocus haplotypes were obtained by combining alleles from all polymorphic loci. Based on the polymorphic cpSSR markers, the fragment size amplified from each locus was scored by referring to a 20-bp DNA ladder (TaKaRa Biotechnology Co., Dalian, China). The number of alleles (A) and unbiased haploid diversity index (h) per polymorphic locus were calculated using the software GenAlEx version 6.41 (Peakall and Smouse, 2006). To estimate the informativeness of each SSR marker, the polymorphism information content (PIC) was calculated using the formula described by Botstein et al. (1980).

Table 1.

Characteristics of 12 polymorphic cpSSR markers developed in Vigna unguiculata.

Locus Repeat motif Primer sequences (5′–3′) Ta (°C) Positiona Region GenBank accession no. Size range in V. unguiculata (bp) Size range in P. vulgaris (bp)
VgcpSSR1 (TA)5 F: GGTGGATGTTTATACCCAATCG 60 trnK-rbcL IGS LSC KF662476 190–220 190–196
R: TCTTTCTGCGATACAAACAAGAA
VgcpSSR2 (AAT)5 F: TTTTCTATGTATGGCGCAACC 60 rbcL-atpB IGS LSC KF662477 180–190 186–190
R: CGGGGATAAAGCTGCCTATT
VgcpSSR3 (TA)12 F: AAACCACTCGAATATTATGGAAA 57 ndhJ-trnF IGS LSC KF662478 185–305 265–355
R: CCAGTTCAAATCTGGTTCCTG
VgcpSSR4 (AT)5 F: GAAAAGAACAAGCAAATCCACA 60 ycf3 exon LSC KF662479 180–280 180–280
R: TGATCCTTACGATGCTTCCTTT
VgcpSSR5 (TA)5 F: AGCCCACTTTTCCGTAGGTT 58 psaB-rps14 IGS LSC KF662480 190–202 190–202
R: CTTTTCCTTGCCATAATGGTT
VgcpSSR7 (TA)6 F: TCAACCATTTCCCAACACCT 59 psbD-trnT IGS LSC KF662481 136–196 196
R: CATCGAGTTCATGGATTTGC
VgcpSSR9 (TA)5 F: TGAAATTTGAAAAACGGGGTA 57 trnR-trnS IGS LSC KF662482 144–156 160
R: AAGCGATACGGATAGATTCCT
VgcpSSR10 (AT)5 F: GGGCTCATTGGCTGTAGAAA 59 trnR-trnS IGS LSC KF662483 150–182 182–186
R: CCATCTCTCCCCAATTGAAA
VgcpSSR11 (AT)6 F: TTTGAGAAGGTTCAATTGTTCG 59 petA-psbJ IGS LSC KF662484 168–186 168–170
R: TCGGACTCTAGGAAAGGACAA
VgcpSSR12 (AT)6 F: GGCCATTTATCCCACTTTCC 56 psbJ-psbL-psbF IGS LSC KF662485 162–220 170–220
R: CCAGTCTCTACTGGGGGTTA
VgcpSSR13 (TA)5 F: TATTGGTTTTGCACCAATCG 60 rpl20-rps12 IGS LSC KF662486 162–210 210
R: ACCAGGGTGTATGTGCGACT
VgcpSSR14 (AT)5 F: TGGATCATAATCCTTGAACATCA 59 psaC-ndhE IGS SSC KF662487 162–210 178–180
R: TGCGAAAACAAAGATAAGAAATCA

Note: IGS = intergenic spacer; LSC = long single-copy region; SSC = short single-copy region; Ta = annealing temperature.

a

Position of each SSR in chloroplast complete genome of Vigna unguiculata (GenBank accession number: NC_018051).

As shown in Table 2, the characteristics of the 12 polymorphic cpSSR loci are tested in 62 V. unguiculata samples. A ranged from two to four in V. unguiculata (average: 2.75), h ranged from 0.123 (VgcpSSR4) to 0.497 (VgcpSSR5) (average: 0.240), and PIC ranged from 0.114 (VgcpSSR4) to 0.369 (VgcpSSR5) (average: 0.211).

Table 2.

Characterization of the 12 cpSSR markers in V. unguiculata and their cross-species amplification in P. vulgaris.

V. unguiculata group P. vulgaris group
Locus A h PIC A h PIC
VgcpSSR1 3 0.210 0.196 2 0.323 0.262
VgcpSSR2 3 0.362 0.303 2 0.516 0.374
VgcpSSR3 2 0.153 0.139 2 0.212 0.183
VgcpSSR4 2 0.123 0.114 2 0.380 0.298
VgcpSSR5 2 0.497 0.369 2 0.467 0.332
VgcpSSR7 2 0.125 0.116 1 0.000
VgcpSSR9 2 0.151 0.138 1 0.000
VgcpSSR10 4 0.256 0.237 2 0.529 0.374
VgcpSSR11 3 0.202 0.185 2 0.441 0.329
VgcpSSR12 4 0.270 0.255 2 0.349 0.280
VgcpSSR13 3 0.154 0.146 1 0.000
VgcpSSR14 3 0.383 0.328 2 0.529 0.374
Average 2.75 0.240 0.211 1.75 0.312 0.312

Note: A = number of alleles for each locus; h = unbiased haploid diversity; PIC = polymorphism information content.

The transferability of the 12 V. unguiculata cpSSR markers was assessed in a related species, P. vulgaris; parameters of genetic variation were evaluated in 29 P. vulgaris individuals (the P. vulgaris group) (Table 2). All of the 12 cpSSR markers were successfully amplified in the P. vulgaris group, and nine showed polymorphisms, with the exception of VgcpSSR7, VgcpSSR9, and VgcpSSR13, which were monomorphic markers. Therefore, it indicated that 75% of these markers can amplify polymorphic bands. In P. vulgaris, A ranged from one to two, with an average value of 1.75. For each cpSSR locus, h was between 0.000 (VgcpSSR7, VgcpSSR9, and VgcpSSR13) and 0.529 (VgcpSSR10 and VgcpSSR14) (average: 0.312). The PIC value varied between 0.183 (VgSSR3) and 0.374 (VgcpSSR2, VgcpSSR10, and VgcpSSR14) (average: 0.312).

CONCLUSIONS

Twelve polymorphic cpSSR markers were developed in V. unguiculata and showed high transferability in P. vulgaris. Further analyses indicated that the cpSSR markers of V. unguiculata could reveal a relatively high level of genetic diversity in both V. unguiculata and P. vulgaris germplasm. These markers can be used to investigate genetic diversity and evolution in V. unguiculata and P. vulgaris.

Appendix

Appendix 1.

Voucher information for legume species used for the cpSSR polymorphism study. All vouchers are deposited at the Hubei Province Engineering Research Center of Legume Plants, Wuhan, China.

Species Voucher accession no. Country of origin/source
Phaseolus vulgaris B48 China
C-1 China
C-2 China
C-3 China
C-4 China
C-6 China
C-7 China
C-8 China
C-11 China
C-12 China
(13*20)-2 China
(13*20)-5 China
(13*20)-10 China
(13*20)-7 China
(13*20)-1 China
(13*20)-9 China
(13*20)-4 China
(1*7)-1 China
(1*7)-2 China
(1*7)-7 China
(1*7)-9 China
(1*7)-10 China
(1*7)-3 China
(3*10)-4 China
(3*10)-5 China
(3*10)-6 China
(3*10)-7 China
(3*10)-8 China
(3*10)-9 China
Vigna unguiculata B28 China
B30 China
B32 United States
B34 China
B35 China
B36 China
B37 China
B39 China
B42 China
J2 United States
J3 United States
J5 United States
J7 United States
J9 Africa
J11 Mexico
J13 Germany
B3 Japan
B4 China
B5 China
B6 China
B7 China
B8 China
B9 China
B10 China
B11 China
B12 China
B15 China
B16 China
B17 China
B18 China
B20 China
A80 China
A89 China
A93 China
A96 China
A98 China
A104 China
A105 China
A115 China
A125 China
A136 China
A143 China
A1 China
A8 China
A27 China
A33 China
A58 China
A70 China
A156 China
A162 China
A168 China
A171 China
A176 China
A181 China
A182 China
A185 China
A189 China
A192 China
A194 China
A71 China
A82 China
A155 China

LITERATURE CITED

  1. Angioi S. A., Rau D., Rodriguez M., Logozzo G., Desiderio F., Papa R., Attene G. 2009. Nuclear and chloroplast microsatellite diversity in Phaseolus vulgaris L. from Sardinia (Italy). Molecular Breeding 23: 413–429 [Google Scholar]
  2. Badiane F. A., Gowda B. S., Cissé N., Diouf D., Sadio O., Timko M. P. 2012. Genetic relationship of cowpea (Vigna unguiculata) varieties from Senegal based on SSR markers. Genetics and Molecular Research 11: 292–304 [DOI] [PubMed] [Google Scholar]
  3. Botstein D., White R. L., Skolnick M., Davis R. W. 1980. Construction of a genetic linkage map in man using restriction fragment length polymorphism. American Journal of Human Genetics 32: 314–331 [PMC free article] [PubMed] [Google Scholar]
  4. Citadin C. T., Ibrahim A. B., Aragão F. J. 2011. Genetic engineering in cowpea (Vigna unguiculata): History, status and prospects. GM Crops 2: 144–149 [DOI] [PubMed] [Google Scholar]
  5. Desiderio F., Bitocchi E., Bellucci E., Rau D., Rodriguez M., Attene G., Papa R., Nanni L. 2013. Chloroplast microsatellite diversity in Phaseolus vulgaris. Frontiers in Plant Science 3: 312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Doyle J. J., Doyle J. L. 1987. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin 19: 11–15 [Google Scholar]
  7. Li Q., Wan J. M. 2005. SSRHunter: Development of a local searching software for SSR sites. Hereditas 27: 808–810 (in Chinese) [PubMed] [Google Scholar]
  8. Muchero W., Ehlers J. D., Close T. J., Roberts P. A. 2009. Mapping QTL for drought stress-induced premature senescence and maturity in cowpea [Vigna unguiculata (L.) Walp.]. Theoretical and Applied Genetics 118: 849–863 [DOI] [PubMed] [Google Scholar]
  9. Peakall R., Smouse P. E. 2006. GenAlEx 6: Genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Resources 6: 288–295 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Provan J., Powell W., Hollingsworth P. M. 2001. Chloroplast microsatellites: New tools for studies in plant ecology and evolution. Trends in Ecology & Evolution 16: 142–147 [DOI] [PubMed] [Google Scholar]
  11. Rozen S., Skaletsky H. 2000. Primer3 on the WWW for general users and for biologist programmers. In S. Misener and S. A. Krawetz [eds.], Methods in molecular biology, vol. 132: Bioinformatics methods and protocols, 365–386. Humana Press, Totowa, New Jersey, USA. [DOI] [PubMed] [Google Scholar]
  12. Xu P., Wu X., Wang B., Liu Y., Qin D., Ehlers J. D., Close T. J., et al. 2010. Development and polymorphism of Vigna unguiculata ssp. unguiculata microsatellite markers used for phylogenetic analysis in asparagus bean (Vigna unguiculata ssp. sesquipedialis (L.) Verdc.). Molecular Breeding 25: 675–684 [Google Scholar]

Articles from Applications in Plant Sciences are provided here courtesy of Wiley

RESOURCES