2010
DOI: 10.1038/hdy.2010.93
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Analysis of plant diversity with retrotransposon-based molecular markers

Abstract: Retrotransposons are both major generators of genetic diversity and tools for detecting the genomic changes associated with their activity because they create large and stable insertions in the genome. After the demonstration that retrotransposons are ubiquitous, active and abundant in plant genomes, various marker systems were developed to exploit polymorphisms in retrotransposon insertion patterns. These have found applications ranging from the mapping of genes responsible for particular traits and the manag… Show more

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Cited by 226 publications
(155 citation statements)
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References 109 publications
(135 reference statements)
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“…The simplicity and unequivocal scoring of RBIP markers were previously demonstrated, while multiallelic SSR markers might be less accurate (Cieslarová et al 2011a, b). We applied both markers derived from repetitive sequences and routinely used them in germplasm description (Kalendar et al 2011, Smýkal et al 2011. SSR markers showed a higher polymorphism per locus (average PIC= 0.60, Table 1), since their polymorphism is based on various lengths (alleles) of the amplified fragment from the given locus, while for retrotransposon insertion markers the information is of only one of three possible types (average PIC= 0.32, Table 5).…”
Section: Molecular Data Analysismentioning
confidence: 99%
“…The simplicity and unequivocal scoring of RBIP markers were previously demonstrated, while multiallelic SSR markers might be less accurate (Cieslarová et al 2011a, b). We applied both markers derived from repetitive sequences and routinely used them in germplasm description (Kalendar et al 2011, Smýkal et al 2011. SSR markers showed a higher polymorphism per locus (average PIC= 0.60, Table 1), since their polymorphism is based on various lengths (alleles) of the amplified fragment from the given locus, while for retrotransposon insertion markers the information is of only one of three possible types (average PIC= 0.32, Table 5).…”
Section: Molecular Data Analysismentioning
confidence: 99%
“…Amplifications were performed according to Kalendar et al (2011) in a 25 µl reaction volume, containing PCR Buffer (1x final concentration, invitrogen), 2,5 mM MgCl2, 0,4 mM of each dNTP, 0,4 mM IRAP primer, 50 ng genomic DNA, and 2 unit Taq DNA polymerase. Amplification conditions (thermocycler Model-9700, PerkinElmer, Boston, MA, USA) were as follows: initial denaturation at 95 °C for 3 min, 35 cycles at 95 °C for 15 sec, 55 °C for 30 sec, a ramp to 72 °C reaching in 3 min, followed by a 10 min lag at this temperature, and an indefinite holding at 4 °C, respectively.…”
Section: Irap (Inter-retroelement Amplified Polymorphisms) Pcrmentioning
confidence: 99%
“…DNA markers have been developed using various methods like random amplified polymorphic DNA, restriction fragment length polymorphism, simple sequence repeats, amplified fragment length polymorphism (AFLP), sequence characterized amplified region, and single nucleotide polymorphism (Agarwal et al 2008;Kalendar et al 2011;Varshney et al 2013). Moreover, development of polymorphic markers between close relatives or same species are laborious and time consuming due to its high homologous nature.…”
Section: Introductionmentioning
confidence: 99%
“…TE-based molecular markers such as inter-retrotransposon amplified polymorphism, retrotransposon-microsatellite amplified polymorphism, sequence-specific amplification polymorphism, insertion polymorphism based on retrotransposon and DNA transposon, inter-MITE polymorphism and transposon display (TD) (Agarwal et al 2008;Kalendar et al 2011;Shirasawa et al 2012) have been successfully applied for the various genomics purposes such as genetic diversity, inspection of clonal variation, identifying unambiguous gene flow between closely related species and breeding (Deragon and Zhang 2006;Bire and Rouleux-Bonnin 2012;Carrier et al 2012). DNA polymorphisms are used to identify molecular markers for important agronomic traits controlled by single gene or quantitative trait loci (Monden et al 2009;Kalendar et al 2011;Fattash et al 2013).…”
Section: Introductionmentioning
confidence: 99%
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