Abstract
Simple Sequence Repeat (SSR) markers are one of the most frequently used molecular markers in studies of crop diversity and population structure. This is due to their uniform distribution in the genome, the high polymorphism, reproducibility, and codominant character. Additional advantages are the possibility of automatic analysis and simple interpretation of the results. The M13 tagged PCR reaction significantly reduces the costs of analysis by the automatic genetic analyzers. Here, we also disclose a short protocol of SSR data analysis.
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References
Soranzo N, Provan J, Powell W (1999) An example of microsatellite length variation in the mitochondrial genome of conifers. Genome 42(1):158–161
Powell W, Morgante M, McDevitt R, Vendramin G, Rafalski J (1995) Polymorphic simple sequence repeat regions in chloroplast genomes: applications to the population genetics of pines. Proc Natl Acad Sci U S A 92(17):7759–7763
Tautz D (1989) Hypervariabflity of simple sequences as a general source for polymorphic DNA markers. Nucleic Acids Res 17(16):6463–6471
Gupta P, Balyan H, Sharma P, Ramesh B (1996) Microsatellites in plants: a new class of molecular markers. Curr Sci 45(1):45–54
Wang Z, Weber JL, Zhong G, Tanksley S (1994) Survey of plant short tandem DNA repeats. Theor Appl Genet 88(1):1–6
Li YC, Korol AB, Fahima T, Beiles A, Nevo E (2002) Microsatellites: genomic distribution, putative functions and mutational mechanisms: a review. Mol Ecol 11(12):2453–2465
Tautz D, Renz M (1984) Simple sequences are ubiquitous repetitive components of eukaryotic genomes. Nucleic Acids Res 12(10):4127–4138
Tautz D (1993) Notes on the definition and nomenclature of tandemly repetitive DNA sequences. In: Pena SDJ et al. (eds) DNA fingerprinting: state of the science. Springer, New York, pp 21–28
Eisen J (1999) Mechanistic basis for microsatellite instability. Microsatellites Evol Appl 1:34–48
Schuelke M (2000) An economic method for the fluorescent labeling of PCR fragments. Nat Biotechnol 18(2):233–234
Liu K, Muse SV (2005) PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21(9):2128–2129
Hubisz MJ, Falush D, Stephens M, Pritchard JK (2009) Inferring weak population structure with the assistance of sample group information. Mol Ecol Resour 9(5):1322–1332
Earl DA (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Resour 4(2):359–361
Jakobsson M, Rosenberg NA (2007) CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics 23(14):1801–1806
Rosenberg NA (2004) DISTRUCT: a program for the graphical display of population structure. Mol Ecol Notes 4(1):137–138
Excoffier L, Laval G, Schneider S (2005) Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evol Bioinform Online 1:47–50
Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics 28(19):2537–2539. doi:10.1093/bioinformatics/bts460
Nei M (1973) Analysis of gene diversity in subdivided populations. Proc Natl Acad Sci 70(12):3321–3323
Botstein D, White RL, Skolnick M, Davis RW (1980) Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet 32(3):314
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Onyśk, A., Boczkowska, M. (2017). M13-Tailed Simple Sequence Repeat (SSR) Markers in Studies of Genetic Diversity and Population Structure of Common Oat Germplasm. In: Gasparis, S. (eds) Oat. Methods in Molecular Biology, vol 1536. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6682-0_12
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DOI: https://doi.org/10.1007/978-1-4939-6682-0_12
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