Literature DB >> 18436990

Variety discrimination in pea (Pisum sativum L.) by molecular, biochemical and morphological markers.

Peter Smykal1, Jiri Horacek, Radmila Dostalova, Miroslav Hybl.   

Abstract

The distinctness, uniformity and stability (DUS) requirements involve expensive, space- and time-consuming measurements of morphological traits. Moreover, for a majority of traits, interactions between genotype and environment complicate the evaluation. Molecular markers have a potential to facilitate this procedure, increase the reliability of decisions, and substantially save the time and space needed for experiments. We chose 25 varieties of pea (Pisum sativum L.) from the list of recommended varieties for cultivation in the Czech Republic, and made both a standard classification by 12 morphological descriptors and a classification by biochemical-molecular markers. Two isozyme systems, 10 microsatellite loci, 2 retrotransposons for multilocus inter-retrotransposon amplified polymorphism (IRAP), and 12 retrotransposon-based insertion polymorphism (RBIP) DNA markers were analysed. The main objective of the study was to examine the potential of each method for discrimination between pea varieties. The results demonstrate a high potential and resolving power of DNA-based methods. Superior in terms of high information content and discrimination power were SSR markers, owing to high allelic variation, which was the only biochemical-molecular method allowing clear identification of all varieties. Retrotransposon markers in RBIP format proved to be the most robust and easy to score method, while multilocus IRAP produced informative fingerprint already in a single analysis. Isozyme analysis offered a fast and less expensive alternative. The results showed that molecular identification could be used to assess distinctness and complement morphological assessment, especially in cases where the time frame plays an important role. Currently developed pea marker systems might serve also for germplasm management and genetic diversity studies.

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Year:  2008        PMID: 18436990     DOI: 10.1007/BF03195609

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


  10 in total

1.  Construction and testing of a microsatellite database containing more than 500 tomato varieties.

Authors:  M. Bredemeijer; J. Cooke; W. Ganal; R. Peeters; P. Isaac; Y. Noordijk; S. Rendell; J. Jackson; S. Röder; K. Wendehake; M. Dijcks; M. Amelaine; V. Wickaert; L. Bertrand; B. Vosman
Journal:  Theor Appl Genet       Date:  2002-09-07       Impact factor: 5.699

2.  Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants.

Authors:  Hilde Nybom
Journal:  Mol Ecol       Date:  2004-05       Impact factor: 6.185

3.  Microsatellite marker polymorphism and mapping in pea (Pisum sativum L.).

Authors:  K Loridon; K McPhee; J Morin; P Dubreuil; M L Pilet-Nayel; G Aubert; C Rameau; A Baranger; C Coyne; I Lejeune-Hènaut; J Burstin
Journal:  Theor Appl Genet       Date:  2005-10-11       Impact factor: 5.699

4.  Use of SSR markers to complement tests of distinctiveness, uniformity, and stability (DUS) of pepper (Capsicum annuum L.) varieties.

Authors:  Yong-Sham Kwon; Je-Min Lee; Gi-Bum Yi; Seung-In Yi; Kyung-Min Kim; Eun-Hee Soh; Kyung-Mi Bae; Eun-Kyung Park; In-Ho Song; Byung-Dong Kim
Journal:  Mol Cells       Date:  2005-06-30       Impact factor: 5.034

5.  Insertional polymorphism and antiquity of PDR1 retrotransposon insertions in pisum species.

Authors:  Runchun Jing; Maggie R Knox; Jennifer M Lee; Alexander V Vershinin; Michael Ambrose; T H Noel Ellis; Andrew J Flavell
Journal:  Genetics       Date:  2005-08-05       Impact factor: 4.562

6.  Development of an efficient retrotransposon-based fingerprinting method for rapid pea variety identification.

Authors:  Petr Smýkal
Journal:  J Appl Genet       Date:  2006       Impact factor: 3.240

7.  The development of multiplex simple sequence repeat (SSR) markers to complement distinctness, uniformity and stability testing of rape (Brassica napus L.) varieties.

Authors:  L Tommasini; J Batley; G M Arnold; R J Cooke; P Donini; D Lee; J R Law; C Lowe; C Moule; M Trick; K J Edwards
Journal:  Theor Appl Genet       Date:  2002-10-22       Impact factor: 5.699

8.  The detection of disease clustering and a generalized regression approach.

Authors:  N Mantel
Journal:  Cancer Res       Date:  1967-02       Impact factor: 12.701

9.  Selection of international molecular standards for DNA fingerprinting of Theobroma cacao.

Authors:  James A Saunders; Sue Mischke; Emily A Leamy; Alaa A Hemeida
Journal:  Theor Appl Genet       Date:  2004-11-12       Impact factor: 5.699

10.  Assessment of genetic and epigenetic stability in long-term in vitro shoot culture of pea (Pisum sativum L.).

Authors:  P Smýkal; L Valledor; R Rodríguez; M Griga
Journal:  Plant Cell Rep       Date:  2007-08-01       Impact factor: 4.964

  10 in total
  11 in total

1.  Diversity and association of phenotypic and metabolomic traits in the close model grasses Brachypodium distachyon, B. stacei and B. hybridum.

Authors:  Diana López-Álvarez; Hassan Zubair; Manfred Beckmann; John Draper; Pilar Catalán
Journal:  Ann Bot       Date:  2017-03-01       Impact factor: 4.357

2.  Estimation of pea (Pisum sativum L.) microsatellite mutation rate based on pedigree and single-seed descent analyses.

Authors:  Jaroslava Cieslarová; Pavel Hanáček; Eva Fialová; Miroslav Hýbl; Petr Smýkal
Journal:  J Appl Genet       Date:  2011-07-19       Impact factor: 3.240

3.  Genetic diversity of cultivated flax (Linum usitatissimum L.) germplasm assessed by retrotransposon-based markers.

Authors:  P Smýkal; N Bačová-Kerteszová; R Kalendar; J Corander; A H Schulman; M Pavelek
Journal:  Theor Appl Genet       Date:  2011-02-04       Impact factor: 5.699

Review 4.  Insights into deployment of DNA markers in plant variety protection and registration.

Authors:  Seyed Hossein Jamali; James Cockram; Lee T Hickey
Journal:  Theor Appl Genet       Date:  2019-05-02       Impact factor: 5.699

5.  SSR-Based Molecular Identification and Population Structure Analysis for Forage Pea (Pisum sativum var. arvense L.) Landraces.

Authors:  Kamil Haliloglu; Aras Turkoglu; Mustafa Tan; Peter Poczai
Journal:  Genes (Basel)       Date:  2022-06-18       Impact factor: 4.141

Review 6.  Genomics Enabled Breeding Strategies for Major Biotic Stresses in Pea (Pisum sativum L.).

Authors:  Ashok Kumar Parihar; Jitendra Kumar; Debjyoti Sen Gupta; Amrit Lamichaney; Satheesh Naik Sj; Anil K Singh; Girish P Dixit; Sanjeev Gupta; Faruk Toklu
Journal:  Front Plant Sci       Date:  2022-05-18       Impact factor: 6.627

7.  Transcriptome sequencing of field pea and faba bean for discovery and validation of SSR genetic markers.

Authors:  Sukhjiwan Kaur; Luke W Pembleton; Noel O I Cogan; Keith W Savin; Tony Leonforte; Jeffrey Paull; Michael Materne; John W Forster
Journal:  BMC Genomics       Date:  2012-03-20       Impact factor: 3.969

Review 8.  Plant Variety Protection: Current Practices and Insights.

Authors:  Ju-Kyung Yu; Yong-Suk Chung
Journal:  Genes (Basel)       Date:  2021-07-25       Impact factor: 4.096

9.  DNA Fingerprinting and Species Identification Uncovers the Genetic Diversity of Katsouni Pea in the Greek Islands Amorgos and Schinoussa.

Authors:  Evangelia Stavridou; Georgios Lagiotis; Lefkothea Karapetsi; Maslin Osathanunkul; Panagiotis Madesis
Journal:  Plants (Basel)       Date:  2020-04-09

10.  Genetic characterization of cassava (Manihot esculenta Crantz) genotypes using agro-morphological and single nucleotide polymorphism markers.

Authors:  Kumba Y Karim; Beatrice Ifie; Daniel Dzidzienyo; Eric Y Danquah; Essie T Blay; Jim B A Whyte; Peter Kulakow; Ismail Rabbi; Elizabeth Parkes; Lucky Omoigui; Prince E Norman; Peter Iluebbey
Journal:  Physiol Mol Biol Plants       Date:  2019-12-23
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