Development and characterization of a new set of 164 polymorphic EST-SSR markers for diversity and breeding studies in rubber tree (Hevea brasiliensis Mull. Arg.)

Plant Breed.ISI Document Delivery No.: AJ4WPTimes Cited: 0Cited Reference Count: 31Cited References: Argout X, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-512 BESSE P, 1994, THEOR APPL GENET, V88, P199, DOI 10.1007/BF00225898 Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610 Cubry P, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-10 Ellis JR, 2007, HEREDITY, V99, P125, DOI 10.1038/sj.hdy.6801001 Feng SP, 2009, MOL BREEDING, V23, P85, DOI 10.1007/s11032-008-9216-0 Garcia D, 2011, PHYSIOL MOL PLANT P, V76, P126, DOI 10.1016/j.pmpp.2011.07.006 Gupta PK, 2005, PLANT MOL BIOL, V57, P461, DOI 10.1007/s11103-005-0257-z Gupta S, 2013, PLANT BREEDING, V132, P367, DOI 10.1111/pbr.12070 Kumar Yadav H., 2010, TREE GENET GENOMES, V7, P207 Le Guen V., 2008, EXPLORATION DIVERSIT Le Guen V, 2011, PLANT BREEDING, V130, P294, DOI 10.1111/j.1439-0523.2010.01774.x Le Guen V, 2009, TREE GENET GENOMES, V5, P673, DOI 10.1007/s11295-009-0218-9 Lespinasse D, 2000, THEOR APPL GENET, V100, P127, DOI 10.1007/s001220050018 Li DJ, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-192 Liu KJ, 2005, BIOINFORMATICS, V21, P2128, DOI 10.1093/bioinformatics/bti282 Ohyama A, 2009, MOL BREEDING, V23, P685, DOI 10.1007/s11032-009-9265-z Perovic D, 2009, MOL BREEDING, V23, P641, DOI 10.1007/s11032-009-9262-2 Perrier Xavier, 2003, P31 Perrier X., 2006, DARWIN SOFTWARE Pootakham W, 2012, PLANT BREEDING, V131, P555, DOI 10.1111/j.1439-0523.2012.01982.x Rafalski JA, 2010, CURR OPIN PLANT BIOL, V13, P174, DOI 10.1016/j.pbi.2009.12.004 Rozen S, 2000, Methods Mol Biol, V132, P365 SAITOU N, 1987, MOL BIOL EVOL, V4, P406 Seguin Marc, 2003, P277 Souza LM, 2009, CONSERV GENET RESOUR, V1, P75, DOI 10.1007/s12686-009-9018-7 Triwitayakorn K, 2011, DNA RES, V18, P471, DOI 10.1093/dnares/dsr034 Tyrka M, 2008, J APPL GENET, V49, P127, DOI 10.1007/BF03195605 Varshney RK, 2005, TRENDS BIOTECHNOL, V23, P48, DOI 10.1016/j.tibtech.2004.11.005 Vigouroux Y, 2005, GENETICS, V169, P1617, DOI 10.1534/genetics.104.032086 Wen Mingfu, 2010, BMC Res Notes, V3, P42, DOI 10.1186/1756-0500-3-42Cubry, Philippe Pujade-Renaud, Valerie Garcia, Dominique Espeout, Sandra Le Guen, Vincent Granet, Francoise Seguin, MarcFrench National Research Agency (Agence Nationale pour la Recherche; contrat ANR/Genoplante) [GPLA07017C]This work was performed as part of the CIRAD - Michelin collaborative project 'Genesalb' supported by a grant from the French National Research Agency (Agence Nationale pour la Recherche; contrat ANR/Genoplante no GPLA07017C). We thank the Montpellier Languedoc-Roussillon Grand plateau technique regional for hosting the SSR genotyping activities. ESTtik database was made available by the SouthGreen bioinformatics platform at http://southgreen.cirad.fr/. We thank Ronan Rivallan for technical help, Xavier Argout for computational procedures and data retrieving, Gerald Oliver for keeping some vegetal material in a greenhouse in Montpellier, Jean-Marc Thevenin and Fabien Doare for providing us with some fresh material from CIRAD's Pointe Combi Centre (French Guyana) collection.Wiley-blackwellHoboken

إنجليزي. Despite its economic importance and recent genome release, the need for molecular tools for Hevea brasiliensis is high. In the frame of a disease resistance study, EST sequences were retrieved from public database or generated by sequencing SSH libraries. Sequences were trimmed and microsatellite motifs searched using an ad hoc bioinformatic pipeline, and pairs of primers for the amplification of candidate markers were generated. We found a total of 10499 unigenes from both sources of sequences, and 673 microsatellites motifs were detected using the default parameters of the pipeline. Two hundred sixty-four primer pairs were tested and 226 (85.6%) successfully amplified. Out of the amplified candidate markers, 164 exhibited polymorphism. Relationships based on dendrograms using simple matching index and diversity statistics based on EST-SSRs were compared with Genomic SSRs, showing the potentialities of EST-derived microsatellites for resistance studies but also for population genetics approaches.