Literature DB >> 14564058

Genetic diversity of inbred rye lines evaluated by RAPD analysis.

B Myśków1, P Masojć, A Banek-Tabor, A Szołkowski.   

Abstract

This study presents an attempt to supply breeders of hybrid rye with more genetic information on inbred lines, using molecular markers. Eighteen polymorphic loci detected by means of the RAPD (Random Amplified Polymorphic DNA) technique and mapped on 2R-7R rye chromosomes, were applied to study genetic similarities among forty inbred lines of rye. The lines were grouped in four main clusters revealed on dendrogram, which was generally consistent with the pedigree data. Mapped RAPD markers were shown to be a useful tool for phenetic studies in rye. Additionally, a system of 20 polymorphic fragments, detected by three primers, was developed for fingerprinting of rye lines. The system of RAPD markers, which was developed in this study, should be helpful in characterisation of rye genetic stocks used for breeding.

Entities:  

Year:  2001        PMID: 14564058

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  11 in total

1.  New genetic map of rye composed of PCR-based molecular markers and its alignment with the reference map of the DS2 x RXL10 intercross.

Authors:  Paweł Milczarski; Aneta Banek-Tabor; Karolina Lebiecka; Stefan Stojałowski; Beata Myśków; Piotr Masojć
Journal:  J Appl Genet       Date:  2007       Impact factor: 3.240

2.  QTLs for resistance to preharvest sprouting in rye (Secale cereale L.).

Authors:  Piotr Masojć; Aneta Banek-Tabor; Paweł Milczarski; Marta Twardowska
Journal:  J Appl Genet       Date:  2007       Impact factor: 3.240

3.  Detection of the quantitative trait loci for α-amylase activity on a high-density genetic map of rye and comparison of their localization to loci controlling preharvest sprouting and earliness.

Authors:  Beata Myśków; Stefan Stojałowski; Anna Lań; Hanna Bolibok-Brągoszewska; Monika Rakoczy-Trojanowska; Andrzej Kilian
Journal:  Mol Breed       Date:  2011-09-28       Impact factor: 2.589

4.  Mapping of sequence-specific markers and loci controlling preharvest sprouting and alpha-amylase activity in rye (Secale cereale L.) on the genetic map of an F2 (S120×S76) population.

Authors:  B Myskow; S Stojalowski; P Milczarski; P Masojc
Journal:  J Appl Genet       Date:  2010       Impact factor: 2.653

5.  DArT markers tightly linked with the Rfc1 gene controlling restoration of male fertility in the CMS-C system in cultivated rye (Secale cereale L.).

Authors:  Stefan Andrzej Stojałowski; Paweł Milczarski; Monika Hanek; Hanna Bolibok-Brągoszewska; Beata Myśków; Andrzej Kilian; Monika Rakoczy-Trojanowska
Journal:  J Appl Genet       Date:  2011-05-11       Impact factor: 3.240

6.  A high density consensus map of rye (Secale cereale L.) based on DArT markers.

Authors:  Paweł Milczarski; Hanna Bolibok-Brągoszewska; Beata Myśków; Stefan Stojałowski; Katarzyna Heller-Uszyńska; Magdalena Góralska; Piotr Brągoszewski; Grzegorz Uszyński; Andrzej Kilian; Monika Rakoczy-Trojanowska
Journal:  PLoS One       Date:  2011-12-06       Impact factor: 3.240

7.  Comparative analysis of genetic architectures for nine developmental traits of rye.

Authors:  Piotr Masojć; P Milczarski; P Kruszona
Journal:  J Appl Genet       Date:  2017-05-09       Impact factor: 3.240

8.  Putative candidate genes responsible for leaf rolling in rye (Secale cereale L.).

Authors:  Beata Myśków; Magdalena Góralska; Natalia Lenarczyk; Ilona Czyczyło-Mysza; Stefan Stojałowski
Journal:  BMC Genet       Date:  2018-08-09       Impact factor: 2.797

9.  DArT markers for the rye genome - genetic diversity and mapping.

Authors:  Hanna Bolibok-Bragoszewska; Katarzyna Heller-Uszyńska; Peter Wenzl; Grzegorz Uszyński; Andrzej Kilian; Monika Rakoczy-Trojanowska
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

10.  The application of high-density genetic maps of rye for the detection of QTLs controlling morphological traits.

Authors:  Beata Myśków; Monika Hanek; Aneta Banek-Tabor; Robert Maciorowski; Stefan Stojałowski
Journal:  J Appl Genet       Date:  2013-12-03       Impact factor: 3.240

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