Microsatellite marker development for the rubber tree (Hevea brasiliensis): Characterization and cross-amplification in wild Hevea species

被引:24
作者
Camila C Mantello
Fernando I Suzuki
Livia M Souza
Paulo S Gonçalves
Anete P Souza
机构
[1] Centro de Biologia Molecular e Engenharia Genética (CBMEG), Universidade Estadual de Campinas (UNICAMP), Cidade Universitária Zeferino Vaz, CEP 13083-970, Campinas, SP
[2] Instituto Agronômico de Campinas (IAC), Campinas, SP, CEP 13012-970
[3] Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), Cidade Universitária Zeferino Vaz, CEP 13083-970, Campinas, SP
基金
巴西圣保罗研究基金会;
关键词
Characterization; H; brasiliensis; Hevea; Microsatellite; Transferability;
D O I
10.1186/1756-0500-5-329
中图分类号
学科分类号
摘要
Background: The rubber tree (Hevea brasiliensis) is native to the Amazon region and it is the major source of natural rubber in the world. Rubber tree breeding is time-consuming and expensive. However, molecular markers such as microsatellites can reduce the time required for these programs. This study reports new genomic microsatellite markers developed and characterized in H. brasiliensis and the evaluation of their transferability to other Hevea species. Findings: We constructed di- and trinucleotide-enriched libraries. From these two libraries, 153 primer pairs were designed and initially evaluated using 9 genotypes of H. brasiliensis. A total of 119 primer pairs had a good amplification product, 90 of which were polymorphic. We chose 46 of the polymorphic markers and characterized them in 36 genotypes of H. brasiliensis. The expected and observed heterozygosities ranged from 0.1387 to 0.8629 and 0.0909 to 0.9167, respectively. The polymorphism information content (PIC) values ranged from 0.097 to 0.8339, and the mean number of alleles was 6.4 (217). These 46 microsatellites were also tested in 6 other Hevea species. The percentage of transferability ranged from 82% to 87%. Locus duplication was found in H. brasiliensis and also in 5 of other species in which transferability was tested. Conclusions: This study reports new microsatellite markers for H. brasiliensis that can be used for genetic linkage mapping, quantitative trait loci identification and marker- assisted selection. The high percentage of transferability may be useful in the evaluations of genetic variability and to monitor introgression of genetic variability from different Hevea species into breeding programs. © 2012 Mantello et al.; licensee BioMed Central Ltd.
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共 39 条
  • [31] Majumder S.K., Chromosome studies of some species of Hevea, J. Rubber Res. Inst. Malays, 18, pp. 269-273, (1964)
  • [32] Ong S.N., Chromosome morphology at pachytene stage in Hevea brasiliensis: A preliminary report, Proceedings of the International Rubber Conference, pp. 3-12, (1975)
  • [33] Bouharmont J., Recherches taxonomiques et caryologiques chez quelques espèces du genre Hevea, Série Scientifique, (1960)
  • [34] Doyle J.J., Doyle J.L., A rapid DNA isolation procedure for small quantities of fresh leaf tissue, Phytochem Bull, 19, pp. 11-15, (1987)
  • [35] Billotte N., Lagoda P., Risterucci A.M., Baurens F.C., Microsatellite-enriched libraries: Applied methodology for the development of SSR markers in tropical crops, Fruits, 54, pp. 277-288, (1999)
  • [36] Temnykh S., Declerck G., Lukashova A., Lipovich L., Cartinhour S., McCouch S., 2001. Computational and experimental analysis of microsatellites in rice (Oryza sativaL.): Frequency, length variation, transposon associations, and genetic marker potential, Genome Res, 11, pp. 1441-1452, (2001)
  • [37] Untergasser A., Nijveen H., Rao X., Bisseling T., Geurts R., Leunissen J.A.M., Primer3Plus, an enhanced web interface to Primer3, Nucleic Acids Res, 35, (2007)
  • [38] Creste S., Tulmann-Neto A., Figueira A., Detection of single repeat polymorphisms in denaturing polyacrilamide sequencing gels by silver staining, Plant Mol Biol Rep, 19, pp. 229-306, (2001)
  • [39] Miller M.P., Tools for Population Genetic Analysis (TFPGA) 1.3: A Windows Program for the Analysis of Allozyme and Molecular Population Genetic Data, (1997)