Genetic Diversity and Population Genetic Structure of Jatropha curcas L. Accessions from Different Provenances Revealed by Amplified Fragment-Length Polymorphism and Inter-Simple Sequence Repeat Markers
Abstract
:1. Introduction
2. Materials and Methods
2.1. Plant Materials and DNA Extraction
2.2. ISSR-PCR Amplification
2.3. AFLP-PCR Amplification
2.4. Data Analysis
3. Results
3.1. Analysis of Polymorphism Using ISSR and AFLP Markers
3.2. Genetic Diversity among J. curcas Populations
3.3. Genetic Structure and Differentiation among J. curcas Populations
3.4. Genetic Distances and Clustering among J. curcas Populations
4. Discussion
4.1. Genetic Diversity of J. curcas
4.2. Genetic Structure of J. curcas Populations
4.3. Genetic Relationships among J. curcas Populations
4.4. Comparative Analysis between ISSR and AFLP Markers
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Heller, J. Physic Nut. Jatropha curcas L.; International Plant Genetic Resources Institute: Rome, Italy, 1996. [Google Scholar]
- Openshaw, K. A review of Jatropha curcas: An oil plant of unfulfilled promise. Biomass Bioenergy 2000, 19, 1–15. [Google Scholar] [CrossRef]
- Dehgan, B. Phylogenetic Significance of Interspecific Hybridization in Jatropha (Euphorbiaceae). Syst. Bot. 1984, 9, 467–478. [Google Scholar] [CrossRef]
- Nietsche, S.; Vendrame, W.A.; Crane, J.H.; Pereira, M.C. Assessment of reproductive characteristics of Jatropha curcas L. in south Florida. GCB Bioenergy 2014, 6, 351–359. [Google Scholar] [CrossRef]
- King, A.J.; He, W.; Cuevas, J.A.; Freudenberger, M.; Ramiaramanana, D.; Graham, I.A. Potential of Jatropha curcas as a source of renewable oil and animal feed. J. Exp. Bot. 2009, 60, 2897–2905. [Google Scholar] [CrossRef] [PubMed]
- Nietsche, S.; Vendrame, W.A.; Crane, J.H.; Pereira, M.C.; Costa, A.; Reis, S.T. Variability in reproductive traits in Jatropha curcas L. accessions during early developmental stages under warm subtropical conditions. GCB Bioenergy 2015, 7, 122–134. [Google Scholar] [CrossRef]
- Xiang, Z.; Luo, Q.; Hu, M.; Xiang, Y. The geographical provenances and distribution of Jatropha curcas L. in China. China For. Sci. Technol. 2008, 22, 13–19. [Google Scholar]
- Yuan, L.; Zhao, Q.; Kang, P.; Yang, L.; Zhao, J.; Gou, P.; Wu, K.; Yang, F.; Yang, X.; Li, W.; et al. Investigation of geographical distribution and evaluation of Jatropha curcas in Yunnan province. Southwest China J. Agric. Sci. 2007, 20, 1283–1286. [Google Scholar]
- Semagn, K.; Bjornstad, A.; Ndjiondjop, M.N. An overview of molecular marker methods for plants. Afr. J. Biotechnol. 2006, 5, 2540–2568. [Google Scholar]
- Vos, P.; Hogers, R.; Bleeker, M.; Reijans, M.; Vandelee, T.; Hornes, M.; Frijters, A.; Pot, J.; Peleman, J.; Kuiper, M.; et al. Aflp—A new technique for DNA-fingerprinting. Nucleic Acids Res. 1995, 23, 4407–4414. [Google Scholar] [CrossRef]
- Jones, C.J.; Edwards, K.J.; Castaglione, S.; Winfield, M.O.; Sala, F.; Van de Wiel, C.; Bredemeijer, G.; Vosman, B.; Matthes, M.; Daly, A.; et al. Reproducibility testing of RAPD, AFLP and SSR markers in plants by a network of European laboratories. Mol. Breed. 1997, 3, 381–390. [Google Scholar] [CrossRef]
- Pavithra, H.R.; Shivanna, M.B.; Chandrika, K.; Prasanna, K.T.; Gowda, B. Genetic analysis of Pongamia pinnata (L.) Pierre populations using AFLP markers. Tree Genet. Genomes 2014, 10, 173–188. [Google Scholar] [CrossRef]
- Pecina-Quintero, V.; Anaya-López, J.L.; Zamarripa-Colmenero, A.; Núñez-Colín, C.A.; Montes-García, N.; Solís-Bonilla, J.L.; Jiménez-Becerril, M.F. Genetic structure of Jatropha curcas L. in Mexico and probable centre of origin. Biomass Bioenergy 2014, 60, 147–155. [Google Scholar] [CrossRef]
- Pioto, F.; Costa, R.S.; França, S.C.; Gavioli, E.A.; Bertoni, B.W.; Zingaretti, S.M. Genetic diversity by AFLP analysis within Jatropha curcas L. populations in the State of Sao Paulo, Brazil. Biomass Bioenergy 2015, 80, 316–320. [Google Scholar] [CrossRef]
- Shen, J.; Jia, X.; Ni, H.; Sun, P.; Niu, S.; Chen, X. AFLP analysis of genetic diversity of Jatropha curcas grown in Hainan, China. Trees 2010, 24, 455–462. [Google Scholar] [CrossRef]
- Shen, J.; Pinyopusarerk, K.; Bush, D.; Chen, X. AFLP-based molecular characterization of 63 populations of Jatropha curcas L. grown in provenance trials in China and Vietnam. Biomass Bioenergy 2010, 37, 265–274. [Google Scholar] [CrossRef]
- Tatikonda, L.; Wani, S.; Kannan, S.; Beerelli, N.; Sreedevi, T.K.; Hoisington, D.A.; Devi, P.; Varshney, R.K. AFLP-based molecular characterization of an elite germplasm collection of Jatropha curcas L., a biofuel plant. Plant Sci. 2009, 176, 505–513. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Z.; Guo, X.; Liu, B.; Tang, L.; Chen, F. Genetic diversity and genetic relationship of Jatropha curcas between China and Southeast Asian revealed by amplified fragment length polymorphisms. Afr. J. Biotechnol. 2011, 10, 2825–2832. [Google Scholar]
- Cai, Y.; Sun, D.; Wu, G.; Peng, J. ISSR-based genetic diversity of Jatropha curcas germplasm in China. Biomass Bioenergy 2010, 34, 1739–1750. [Google Scholar] [CrossRef]
- Grativol, C.; da Fonseca Lira-Medeiros, C.; Hemerly, A.S.; Ferreira, P.C.G. High efficiency and reliability of inter-simple sequence repeats (ISSR) markers for evaluation of genetic diversity in Brazilian cultivated Jatropha curcas L. accessions. Mol. Biol. Rep. 2011, 38, 4245–4256. [Google Scholar] [CrossRef]
- Maurya, R.; Gupta, A.; Singh, S.K.; Rai, K.M.; Sawant, S.V.; Yadav, H.K. Microsatellite polymorphism in Jatropha curcas L.—A biodiesel plant. Ind. Crops Prod. 2013, 49, 136–142. [Google Scholar] [CrossRef]
- Vischi, M.; Raranciuc, S.; Baldini, M. Evaluation of genetic diversity between toxic and non toxic Jatropha curcas L. accessions using a set of simple sequence repeat (SSR) markers. Afr. J. Biotechnol. 2013, 12, 265–274. [Google Scholar]
- Wen, M.; Wang, H.; Xia, Z.; Zou, M.; Lu, C.; Wang, W. Developmenrt of EST-SSR and genomic-SSR markers to assess genetic diversity in Jatropha curcas L. BMC Res. Notes 2010, 3, 42. [Google Scholar] [CrossRef]
- Danquah, E.O.; Akromah, R.; Quashie-Sam, S.J.; Oduro, W.; Falk, D.; Thevathasan, N.V.; Gordon, A.M. The genetic diversity of Jatropha curcas (L.) germplasm in Ghana as revealed by random amplified polymorphic DNA (RAPD) primers. Agrofor. Syst. 2012, 86, 443–450. [Google Scholar] [CrossRef]
- Dhillon, R.S.; Saharan, R.P.; Jattan, M.; Rani, T.; Sheokand, R.N.; Dalal, V.; Von Wuehlisch, G. Molecular characterization of induced mutagenesis through gamma radiation using RAPD markers in Jatropha curcas L. Afr. J. Biotechnol. 2014, 13, 806–813. [Google Scholar]
- Rafii, M.Y.; Shabanimofrad, M.; Edaroyati, M.P.; Latif, M.A. Analysis of the genetic diversity of physic nut, Jatropha curcas L. accessions using RAPD markers. Mol. Biol. Rep. 2012, 39, 6505–6511. [Google Scholar] [CrossRef] [PubMed]
- Maurya, R.; Gupta, A.; Singh, S.K.; Rai, K.M.; Katiyar, R.; Sawant, S.V.; Yadav, H.K. Genomic-derived microsatellite markers for diversity analysis in Jatropha curcas. Trees 2015, 29, 849–858. [Google Scholar] [CrossRef]
- Yeh, F.C.; Yang, R.C.; Boyle, T. Popgene Version 1.31 Quick User Guide; University of Alberta, and Centre for International Forestry Research, Edmonton, Alberta, Canada. 1999.
- Nei, M. Analysis of gene diversity in subdivided populations. Proc. Natl. Acad. Sci. USA 1973, 70, 3321–3323. [Google Scholar] [CrossRef] [PubMed]
- Nei, M. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 1978, 89, 583–590. [Google Scholar] [CrossRef]
- Excoffier, L.; Smouse, P.E.; Quattro, J.M. Analysis of molecular variance inferred from metric distances among DNA haplotypes: Application to human mitochondrial DNA restriction data. Genetics 1992, 131, 479–491. [Google Scholar] [CrossRef]
- Rohlf, F.J. NTSYS-pc: Numerical Taxonomy and Multivariate Analysis System, Version 2; Exeter Software: New York, NY, USA, 2000. [Google Scholar]
- Lynch, M.; Milligan, B.G. Analysis of population genetic structure with RAPD markers. Mol. Ecol. 1994, 3, 91–99. [Google Scholar] [CrossRef]
- Palacios, C.; Gonzalez-candelas, F. Analysis of population genetic structure and var iability using RAPD markers in the endemic and endangered Limonium dufourii (PLumbaginaceae). Mol. Ecol. 1997, 6, 1107–1121. [Google Scholar] [CrossRef] [PubMed]
- Zhang, D.; Yang, Y.A. Statistical and Comparative Analysis of Genetic Diversity Detected by Different Molecular Markers. Acta Bot. Yunnanica 2008, 30, 159–167. [Google Scholar]
- Hamrick, J.L.; Godt, M.J.W.; Sherman-Broyles, S.L. Factors influencing levels of genetic diversity in woody plant species. Popul. Genet. For. Trees 1992, 6, 95–124. [Google Scholar]
- Basha, S.D.; Sujatha, M. Inter and intra-population variability of Jatropha curcas L. characterized by RAPD and ISSR markers and development of population-specific SCAR markers. Euphytica, 2007; 156, 375–386. [Google Scholar]
- Gupta, P.; Idris, A.; Mantri, S.; Asif, M.H.; Yadav, H.K.; Roy, J.K.; Tuli, R.; Mohanty, C.S.; Sawant, S.V. Discovery and use of single nucleotide polymorphic (SNP) markers in Jatropha curcas L. Mol. Breed. 2012, 30, 1325–1335. [Google Scholar] [CrossRef]
- Sun, Q.; Li, L.; Li, Y.; Wu, G.; Ge, X. SSR and AFLP markers reveal low genetic diversity in the biofuel plant Jatropha curcas in China. Crop Sci. 2008, 48, 1865–1871. [Google Scholar] [CrossRef]
- Ceccarelli, S.; Grando, S. Drought as a challenge for the plant breeder. Plant Growth Regul. 1996, 20, 149–155. [Google Scholar] [CrossRef]
- O’Connell, M.A. The role of drought-responsive genes in drought resistance. AgBiotech News Inf. 1995, 7, 143–147. [Google Scholar]
- Trejo-Calzada, R.; O’Connell, M.A. Genetic diversity of drought-responsive genes in populations of the desert forage Dactylis glomerata. Plant Sci. 2005, 168, 1327–1335. [Google Scholar] [CrossRef]
- Soltis, P.S.; Soltis, D.E. Genetic variation within and among populations of ferns. Am. Fern J. 1990, 80, 161–172. [Google Scholar] [CrossRef]
- Yang, Q.; Peng, D.; Duan, Z.; Wang, Z.; Sun, Q. Study on Pollination Biology of Jatropha curcas (Euphorbiaceae). J. S. China Agric. Univ. 2007, 28, 62–66. [Google Scholar]
- Maghuly, F.; Jankowicz-Cieslak, J.; Pabinger, S.; Till, B.J.; Laimer, M. Geographic origin is not supported by the genetic variability found in a large living collection of Jatropha curcas with accessions from three continents. Biotechnol. J. 2015, 10, 536–551. [Google Scholar] [CrossRef] [PubMed]
- Montes Osorio, L.R.; Torres Salvador, A.F.; Jongschaap, R.E.E.; Azurdia Perez, C.A.; Berduo Sandoval, J.E.; Trindade, L.M.; Franciscus Visser, R.G.; van Loo, E.N. High level of molecular and phenotypic biodiversity in Jatropha curcas from Central America compared to Africa, Asia and South America. BMC Plant Biol. 2014, 14, 77. [Google Scholar] [CrossRef] [PubMed]
- Luo, C.; Li, K.; Chen, Y.; Sun, Y. Floral display and breeding system of Jatropha curcas L. For. Stud. China 2007, 9, 114–119. [Google Scholar] [CrossRef]
- Nybom, H.; Bartish, I.V. Effects of life history traits and sampling strategies on genetic diversity estimates obtained with RAPD markers in plants. Perspect. Plant Ecol. Evol. Syst. 2000, 3, 93–114. [Google Scholar] [CrossRef]
- Hamrick, J.L. Plant population genetics and evolution. Am. J. Bot. 1982, 69, 1685–1693. [Google Scholar] [CrossRef]
- Qu, R.; Hou, L.; Lu, H.; Li, H. The gene flow of population genetic structure. Hereditas 2004, 26, 377–382. [Google Scholar]
- Wright, S. Evolution in Mendelian populations. Genetics 1931, 16, 97–159. [Google Scholar] [CrossRef]
- Bressan, E.A.; Sebbenn, A.M.; Ferreira, R.R.; Lee, T.S.G.; Figueira, A. Jatropha curcas L. (Euphorbiaceae) exhibits a mixed mating system, high correlated mating and apomixis. Tree Genet. Genomes 2013, 9, 1089–1097. [Google Scholar] [CrossRef]
- Chen, X. Effects of habitat fragmentation on genetic s tructure of plant populations and impl ications for the biodiversity conservation. Acta Ecol. Sin. 2000, 20, 884–892. [Google Scholar]
- Levi, A.; Thomas, C.; Newman, M.; Reddy, O.U.K.; Zhang, X.; Xu, Y. ISSR and AFLP markers differ among American watermelon cultivars with limited genetic diversity. J. Am. Soc. Hortic. Sci. 2004, 129, 553–558. [Google Scholar] [CrossRef]
- Nybom, H. Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants. Mol. Ecol. 2004, 13, 1143–1155. [Google Scholar] [CrossRef] [PubMed]
- Bao, J.; Corke, H.; Sun, M. Analysis of genetic diversity and relationships in waxy rice (Oryza sativa L.) using AFLP and ISSR markers. Genet. Resour. Crop Evol. 2006, 53, 323–330. [Google Scholar] [CrossRef]
Primers | Primer Sequences (5′→3′) | Annealing Temperature Tm (°C) |
---|---|---|
UBC808 | AGAGAGAGAGAGAGAGC | 52.0 |
UBC823 | TCTCTCTCTCTCTCTCC | 52.0 |
UBC825 | ACACACACACACACACT | 50.5 |
UBC834 | AGAGAGAGAGAGAGAGYT | 53.5 |
UBC835 | AGAGAGAGAGAGAGAGYC | 55.5 |
UBC836 | AGAGAGAGAGAGAGAGYA | 52.5 |
UBC856 | ACACACACACACACACYA | 53.0 |
UBC873 | GACAGACAGACAGACA | 49.5 |
UBC884 | HBHAGAGAGAGAGAGAG | 55.5 |
UBC888 | BDBCACACACACACACA | 51.5 |
UBC889 | DBDACACACACACACAC | 51.0 |
UBC891 | HVHTGTGTGTGTGTGTG | 51.0 |
Total | 12 | - |
Primer Combination | Selective EcoRI Primers (5′→3′) | Selective MseI Primers (5′→3′) |
---|---|---|
E-AAG */M-CCC | GACTGCGTACCAATTCAAG | GATGAGTCCTGAGTAACCC |
E-ACA */M-CCT | GACTGCGTACCAATTCACA | GATGAGTCCTGAGTAACCT |
E-AAC */M-CTC | GACTGCGTACCAATTCAAC | GATGAGTCCTGAGTAACTC |
E-AGG */M-CTT | GACTGCGTACCAATTCAGG | GATGAGTCCTGAGTAACTT |
E-AAA */M-CAG | GACTGCGTACCAATTCAAA | GATGAGTCCTGAGTAACAG |
E-AAA */M-CTT | GACTGCGTACCAATTCAAA | GATGAGTCCTGAGTAACTT |
E-AGA */M-CTG | GACTGCGTACCAATTCAGA | GATGAGTCCTGAGTAACTG |
Primer/Primer Combination | Total Number of Fragments | Number of Polymorphic Fragments | Percent Polymorphism (%) |
---|---|---|---|
UBC808 | 10 | 8 | 80.00 |
UBC823 | 8 | 4 | 50.00 |
UBC825 | 12 | 8 | 66.67 |
UBC834 | 14 | 9 | 64.29 |
UBC835 | 13 | 9 | 69.23 |
UBC836 | 12 | 5 | 41.67 |
UBC856 | 13 | 6 | 46.15 |
UBC873 | 16 | 11 | 68.75 |
UBC884 | 10 | 3 | 30.00 |
UBC888 | 10 | 4 | 40.00 |
UBC889 | 12 | 4 | 33.33 |
UBC891 | 10 | 7 | 70.00 |
Total | 140 | 78 | - |
Average | 11.67 | 6.50 | 55.01 |
E-AAG/M-CCC | 73 | 45 | 61.64 |
E-ACA/M-CCT | 67 | 41 | 61.19 |
E-AAC/M-CTC | 102 | 50 | 49.02 |
E-AGG/M-CTT | 83 | 39 | 46.99 |
E-AAA/M-CAG | 48 | 16 | 33.33 |
E-AAA/M-CTT | 88 | 20 | 22.73 |
E-AGA/M-CTG | 65 | 31 | 47.69 |
Total | 526 | 242 | - |
Average | 75.14 | 34.57 | 46.08 |
Pop | ISSR Markers | Pop | AFLP Markers | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Na | Ne | H | I | Np | Pp (%) | Na | Ne | H | I | Np | Pp (%) | ||
SC | 1.350 | 1.238 | 0.134 | 0.196 | 49 | 35.00 | SC | 1.142 | 1.055 | 0.036 | 0.057 | 75 | 14.20 |
GZ | 1.350 | 1.212 | 0.124 | 0.186 | 49 | 35.00 | GZ | 1.171 | 1.122 | 0.068 | 0.099 | 90 | 17.05 |
YN | 1.400 | 1.214 | 0.127 | 0.193 | 56 | 40.00 | YN | 1.309 | 1.190 | 0.113 | 0.168 | 163 | 30.87 |
GX | 1.307 | 1.189 | 0.109 | 0.162 | 43 | 30.71 | GX | 1.239 | 1.171 | 0.094 | 0.137 | 126 | 23.86 |
HN | 1.500 | 1.356 | 0.201 | 0.293 | 70 | 50.00 | HN | 1.305 | 1.207 | 0.117 | 0.172 | 161 | 30.49 |
BR | 1.043 | 1.030 | 0.018 | 0.026 | 6 | 4.29 | BR | 1.008 | 1.005 | 0.003 | 0.005 | 4 | 0.76 |
TL | 1.064 | 1.035 | 0.022 | 0.034 | 9 | 6.43 | TL | 1.011 | 1.006 | 0.004 | 0.006 | 6 | 1.14 |
LA | 1.057 | 1.040 | 0.024 | 0.035 | 8 | 5.71 | LA | 1.006 | 1.004 | 0.002 | 0.003 | 3 | 0.57 |
MM | 1.157 | 1.118 | 0.064 | 0.093 | 22 | 15.71 | MM | 1.042 | 1.019 | 0.012 | 0.018 | 22 | 4.17 |
VN | 1.264 | 1.147 | 0.089 | 0.135 | 37 | 26.43 | VN | 1.015 | 1.005 | 0.004 | 0.006 | 8 | 1.52 |
IN | 1.207 | 1.142 | 0.081 | 0.119 | 29 | 20.71 | IN | 1.074 | 1.040 | 0.025 | 0.038 | 39 | 7.39 |
ID | 1.279 | 1.192 | 0.108 | 0.158 | 39 | 27.86 | ID | 1.125 | 1.079 | 0.044 | 0.066 | 66 | 12.50 |
BZ | 1.200 | 1.141 | 0.083 | 0.121 | 28 | 20.00 | BZ | 1.049 | 1.035 | 0.020 | 0.030 | 26 | 4.92 |
US | 1.000 | 1.000 | 0.000 | 0.000 | 0 | 0.00 | US | 1.000 | 1.000 | 0.000 | 0.000 | 0 | 0 |
ZB | 1.000 | 1.000 | 0.000 | 0.000 | 0 | 0.00 | ZB | 1.000 | 1.000 | 0.000 | 0.000 | 0 | 0 |
BF | 1.000 | 1.000 | 0.000 | 0.000 | 0 | 0.00 | BF | 1.000 | 1.000 | 0.000 | 0.000 | 0 | 0 |
ML | 1.000 | 1.000 | 0.000 | 0.000 | 0 | 0.00 | ML | 1.000 | 1.000 | 0.000 | 0.000 | 0 | 0 |
Total | 1.593 | 1.330 | 0.200 | 0.303 | 83 | 59.29 | Total | 1.464 | 1.216 | 0.132 | 0.204 | 245 | 46.40 |
Molecular Markers | Source of Variation | df | Sum of Squares | Variance Components | Percentage of Variation (%) | ΦST | p-Value |
---|---|---|---|---|---|---|---|
ISSR | inter-population | 16 | 571.55 | 5.081 | 34.12 | 0.341 | <0.001 |
intra-population | 75 | 735.93 | 9.812 | 65.88 | |||
Total | 91 | 1307.48 | 14.894 | 100 | |||
AFLP | inter-population | 16 | 1448.26 | 14.216 | 44.09 | 0.441 | <0.001 |
intra-population | 75 | 1352.16 | 18.029 | 55.91 | |||
Total | 91 | 2800.42 | 32.244 | 100 | |||
ISSR + AFLP | inter-population | 16 | 2019.81 | 19.297 | 40.94 | 0.409 | <0.001 |
intra-population | 75 | 2088.09 | 27.841 | 59.06 | |||
Total | 91 | 4107.90 | 47.138 | 100 |
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Guo, G.; Tang, L.; Xu, Y. Genetic Diversity and Population Genetic Structure of Jatropha curcas L. Accessions from Different Provenances Revealed by Amplified Fragment-Length Polymorphism and Inter-Simple Sequence Repeat Markers. Forests 2024, 15, 1575. https://doi.org/10.3390/f15091575
Guo G, Tang L, Xu Y. Genetic Diversity and Population Genetic Structure of Jatropha curcas L. Accessions from Different Provenances Revealed by Amplified Fragment-Length Polymorphism and Inter-Simple Sequence Repeat Markers. Forests. 2024; 15(9):1575. https://doi.org/10.3390/f15091575
Chicago/Turabian StyleGuo, Guoye, Lin Tang, and Ying Xu. 2024. "Genetic Diversity and Population Genetic Structure of Jatropha curcas L. Accessions from Different Provenances Revealed by Amplified Fragment-Length Polymorphism and Inter-Simple Sequence Repeat Markers" Forests 15, no. 9: 1575. https://doi.org/10.3390/f15091575