Literature DB >> 25202608

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

Lei Pan1, Yi Li1, Rui Guo1, Hua Wu1, Zhihui Hu1, Chanyou Chen1.   

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.

Entities:  

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

Year:  2014        PMID: 25202608      PMCID: PMC4103102          DOI: 10.3732/apps.1300075

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


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.
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.

SpeciesVoucher accession no.Country of origin/source
Phaseolus vulgarisB48China
C-1China
C-2China
C-3China
C-4China
C-6China
C-7China
C-8China
C-11China
C-12China
(13*20)-2China
(13*20)-5China
(13*20)-10China
(13*20)-7China
(13*20)-1China
(13*20)-9China
(13*20)-4China
(1*7)-1China
(1*7)-2China
(1*7)-7China
(1*7)-9China
(1*7)-10China
(1*7)-3China
(3*10)-4China
(3*10)-5China
(3*10)-6China
(3*10)-7China
(3*10)-8China
(3*10)-9China
Vigna unguiculataB28China
B30China
B32United States
B34China
B35China
B36China
B37China
B39China
B42China
J2United States
J3United States
J5United States
J7United States
J9Africa
J11Mexico
J13Germany
B3Japan
B4China
B5China
B6China
B7China
B8China
B9China
B10China
B11China
B12China
B15China
B16China
B17China
B18China
B20China
A80China
A89China
A93China
A96China
A98China
A104China
A105China
A115China
A125China
A136China
A143China
A1China
A8China
A27China
A33China
A58China
A70China
A156China
A162China
A168China
A171China
A176China
A181China
A182China
A185China
A189China
A192China
A194China
A71China
A82China
A155China
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.

LocusRepeat motifPrimer sequences (5′–3′)Ta (°C)PositionaRegionGenBank accession no.Size range in V. unguiculata (bp)Size range in P. vulgaris (bp)
VgcpSSR1(TA)5F: GGTGGATGTTTATACCCAATCG60trnK-rbcL IGSLSCKF662476190–220190–196
R: TCTTTCTGCGATACAAACAAGAA
VgcpSSR2(AAT)5F: TTTTCTATGTATGGCGCAACC60rbcL-atpB IGSLSCKF662477180–190186–190
R: CGGGGATAAAGCTGCCTATT
VgcpSSR3(TA)12F: AAACCACTCGAATATTATGGAAA57ndhJ-trnF IGSLSCKF662478185–305265–355
R: CCAGTTCAAATCTGGTTCCTG
VgcpSSR4(AT)5F: GAAAAGAACAAGCAAATCCACA60ycf3 exonLSCKF662479180–280180–280
R: TGATCCTTACGATGCTTCCTTT
VgcpSSR5(TA)5F: AGCCCACTTTTCCGTAGGTT58psaB-rps14 IGSLSCKF662480190–202190–202
R: CTTTTCCTTGCCATAATGGTT
VgcpSSR7(TA)6F: TCAACCATTTCCCAACACCT59psbD-trnT IGSLSCKF662481136–196196
R: CATCGAGTTCATGGATTTGC
VgcpSSR9(TA)5F: TGAAATTTGAAAAACGGGGTA57trnR-trnS IGSLSCKF662482144–156160
R: AAGCGATACGGATAGATTCCT
VgcpSSR10(AT)5F: GGGCTCATTGGCTGTAGAAA59trnR-trnS IGSLSCKF662483150–182182–186
R: CCATCTCTCCCCAATTGAAA
VgcpSSR11(AT)6F: TTTGAGAAGGTTCAATTGTTCG59petA-psbJ IGSLSCKF662484168–186168–170
R: TCGGACTCTAGGAAAGGACAA
VgcpSSR12(AT)6F: GGCCATTTATCCCACTTTCC56psbJ-psbL-psbF IGSLSCKF662485162–220170–220
R: CCAGTCTCTACTGGGGGTTA
VgcpSSR13(TA)5F: TATTGGTTTTGCACCAATCG60rpl20-rps12 IGSLSCKF662486162–210210
R: ACCAGGGTGTATGTGCGACT
VgcpSSR14(AT)5F: TGGATCATAATCCTTGAACATCA59psaC-ndhE IGSSSCKF662487162–210178–180
R: TGCGAAAACAAAGATAAGAAATCA

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

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

Characteristics of 12 polymorphic cpSSR markers developed in Vigna unguiculata. Note: IGS = intergenic spacer; LSC = long single-copy region; SSC = short single-copy region; Ta = annealing temperature. 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 groupP. vulgaris group
LocusAhPICAhPIC
VgcpSSR130.2100.19620.3230.262
VgcpSSR230.3620.30320.5160.374
VgcpSSR320.1530.13920.2120.183
VgcpSSR420.1230.11420.3800.298
VgcpSSR520.4970.36920.4670.332
VgcpSSR720.1250.11610.000
VgcpSSR920.1510.13810.000
VgcpSSR1040.2560.23720.5290.374
VgcpSSR1130.2020.18520.4410.329
VgcpSSR1240.2700.25520.3490.280
VgcpSSR1330.1540.14610.000
VgcpSSR1430.3830.32820.5290.374
Average2.750.2400.2111.750.3120.312

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

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

1.  Chloroplast microsatellites: new tools for studies in plant ecology and evolution.

Authors:  J Provan; W Powell; P M. Hollingsworth
Journal:  Trends Ecol Evol       Date:  2001-03-01       Impact factor: 17.712

2.  [SSRHunter: development of a local searching software for SSR sites].

Authors:  Qiang Li; Jian-Min Wan
Journal:  Yi Chuan       Date:  2005-09

3.  Genetic relationship of cowpea (Vigna unguiculata) varieties from Senegal based on SSR markers.

Authors:  F A Badiane; B S Gowda; N Cissé; D Diouf; O Sadio; M P Timko
Journal:  Genet Mol Res       Date:  2012-02-08

Review 4.  Genetic engineering in Cowpea (Vigna unguiculata): history, status and prospects.

Authors:  Cristiane T Citadin; Abdulrazak B Ibrahim; Francisco J L Aragão
Journal:  GM Crops       Date:  2011-06-01

Review 5.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

6.  Mapping QTL for drought stress-induced premature senescence and maturity in cowpea [Vigna unguiculata (L.) Walp.].

Authors:  Wellington Muchero; Jeffrey D Ehlers; Timothy J Close; Philip A Roberts
Journal:  Theor Appl Genet       Date:  2009-01-08       Impact factor: 5.699

7.  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

8.  Chloroplast Microsatellite Diversity in Phaseolus vulgaris.

Authors:  F Desiderio; E Bitocchi; E Bellucci; D Rau; M Rodriguez; G Attene; R Papa; L Nanni
Journal:  Front Plant Sci       Date:  2013-01-22       Impact factor: 5.753

  8 in total
  5 in total

1.  The evolutionary fate of the chloroplast and nuclear rps16 genes as revealed through the sequencing and comparative analyses of four novel legume chloroplast genomes from Lupinus.

Authors:  J Keller; M Rousseau-Gueutin; G E Martin; J Morice; J Boutte; E Coissac; M Ourari; M Aïnouche; A Salmon; F Cabello-Hurtado; A Aïnouche
Journal:  DNA Res       Date:  2017-08-01       Impact factor: 4.458

2.  Chloroplast microsatellite markers for Pseudotaxus chienii developed from the whole chloroplast genome of Taxus chinensis var. mairei (Taxaceae).

Authors:  Qi Deng; Hanrui Zhang; Yipeng He; Ting Wang; Yingjuan Su
Journal:  Appl Plant Sci       Date:  2017-03-14       Impact factor: 1.936

3.  Development of high transferability cpSSR markers for individual identification and genetic investigation in Cupressaceae species.

Authors:  Li-Sha Huang; Yan-Qiang Sun; Yuqing Jin; Qiong Gao; Xian-Ge Hu; Fu-Ling Gao; Xiao-Lei Yang; Ji-Jun Zhu; Yousry A El-Kassaby; Jian-Feng Mao
Journal:  Ecol Evol       Date:  2018-04-20       Impact factor: 2.912

4.  The Complete Chloroplast Genome of Carya cathayensis and Phylogenetic Analysis.

Authors:  Jianshuang Shen; Xueqin Li; Xia Chen; Xiaoling Huang; Songheng Jin
Journal:  Genes (Basel)       Date:  2022-02-18       Impact factor: 4.096

5.  Chloroplast genome analyses and genomic resource development for epilithic sister genera Oresitrophe and Mukdenia (Saxifragaceae), using genome skimming data.

Authors:  Luxian Liu; Yuewen Wang; Peizi He; Pan Li; Joongku Lee; Douglas E Soltis; Chengxin Fu
Journal:  BMC Genomics       Date:  2018-04-04       Impact factor: 3.969

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.