Literature DB >> 12582869

Trinucleotide microsatellites in Norway spruce ( Picea abies): their features and the development of molecular markers.

I Scotti1, F Magni, G P Paglia, M Morgante.   

Abstract

Trinucleotide microsatellites have proven to be the markers of choice in human genetic analysis because they are easier to genotype than dinucleotides. Their development can be more time-consuming due to their lower abundance in the genome. We isolated trinucleotide microsatellites in Norway spruce ( Picea abies K.) using an enrichment procedure for the genomic-library construction. Here we report on the characterisation of 85 ATC microsatellite-containing clones, from which 39 markers were developed. Many of the clones showed the occurrence of tandem repeats of higher order than the trinucleotide ones, often resembling minisatellite repeats. The sequencing of a sample of the alleles at one of the loci revealed size homoplasy due to base substitutions within the microsatellite region. The presence of ATC motifs within repetitive sequence families was observed. We found a significant relationship between the level of polymorphism and the length of the microsatellite. The levels of variability for ATC trinucleotide markers were lower than those for dinucleotides, both when tested on all loci in a set of six individuals and on a subset of loci in four natural populations. This difference is most likely attributable to lower mutation rates for trinucleotide than for dinucleotide loci. The availability of markers with different mutation rates allows one to select the proper marker set to investigate population processes on different time scales.

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Year:  2002        PMID: 12582869     DOI: 10.1007/s00122-002-0986-1

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  11 in total

1.  Comparative mapping between quercus and castanea using simple-sequence repeats (SSRs).

Authors:  T Barreneche; M Casasoli; K Russell; A Akkak; H Meddour; C Plomion; F Villani; A Kremer
Journal:  Theor Appl Genet       Date:  2003-10-16       Impact factor: 5.699

2.  Robust simple sequence repeat markers for spruce (Picea spp.) from expressed sequence tags.

Authors:  Dainis Rungis; Yanik Bérubé; Jun Zhang; Steven Ralph; Carol E Ritland; Brian E Ellis; Carl Douglas; Jörg Bohlmann; Kermit Ritland
Journal:  Theor Appl Genet       Date:  2004-10       Impact factor: 5.699

3.  A composite linkage map from two crosses for the species complex Picea mariana x Picea rubens and analysis of synteny with other Pinaceae.

Authors:  Betty Pelgas; Jean Bousquet; Stéphanie Beauseigle; Nathalie Isabel
Journal:  Theor Appl Genet       Date:  2005-11-10       Impact factor: 5.699

4.  Comparative genome mapping among Picea glauca, P. mariana x P. rubens and P. abies, and correspondence with other Pinaceae.

Authors:  Betty Pelgas; Stéphanie Beauseigle; Virginie Acheré; Sylvain Jeandroz; Jean Bousquet; Nathalie Isabel
Journal:  Theor Appl Genet       Date:  2006-10-24       Impact factor: 5.699

5.  Individual reproductive success in Norway spruce natural populations depends on growth rate, age and sensitivity to temperature.

Authors:  Camilla Avanzi; Katrin Heer; Ulf Büntgen; Mariaceleste Labriola; Stefano Leonardi; Lars Opgenoorth; Alma Piermattei; Carlo Urbinati; Giovanni Giuseppe Vendramin; Andrea Piotti
Journal:  Heredity (Edinb)       Date:  2020-03-16       Impact factor: 3.821

6.  Clinal variation at phenology-related genes in spruce: parallel evolution in FTL2 and Gigantea?

Authors:  Jun Chen; Yoshiaki Tsuda; Michael Stocks; Thomas Källman; Nannan Xu; Katri Kärkkäinen; Tea Huotari; Vladimir L Semerikov; Giovanni G Vendramin; Martin Lascoux
Journal:  Genetics       Date:  2014-05-09       Impact factor: 4.562

7.  Cross-species transferability and mapping of genomic and cDNA SSRs in pines.

Authors:  D Chagné; P Chaumeil; A Ramboer; C Collada; A Guevara; M T Cervera; G G Vendramin; V Garcia; J-M Frigerio; C Echt; T Richardson; C Plomion
Journal:  Theor Appl Genet       Date:  2004-09-22       Impact factor: 5.699

8.  Tree growth response along an elevational gradient: climate or genetics?

Authors:  Gregory M King; Felix Gugerli; Patrick Fonti; David C Frank
Journal:  Oecologia       Date:  2013-06-15       Impact factor: 3.225

9.  A full saturated linkage map of Picea abies including AFLP, SSR, ESTP, 5S rDNA and morphological markers.

Authors:  V Acheré; P Faivre-Rampant; S Jeandroz; G Besnard; T Markussen; A Aragones; M Fladung; E Ritter; J-M Favre
Journal:  Theor Appl Genet       Date:  2004-02-27       Impact factor: 5.699

10.  Highly informative single-copy nuclear microsatellite DNA markers developed using an AFLP-SSR approach in black spruce (Picea mariana) and red spruce (P. rubens).

Authors:  Yong-Zhong Shi; Natascha Forneris; Om P Rajora
Journal:  PLoS One       Date:  2014-08-15       Impact factor: 3.240

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