Literature DB >> 18944512

The Genetic Structure of Field Populations of Rhynchosporium secalis from Three Continents Suggests Moderate Gene Flow and Regular Recombination.

S Salamati, J Zhan, J J Burdon, B A McDonald.   

Abstract

ABSTRACT Restriction fragment length polymorphism (RFLP) markers were used to compare the genetic structure of field populations of Rhynchosporium secalis from barley. A total of 543 isolates representing 8 field populations were sampled from Australia, California, Finland, and Norway. Gene and genotype diversity were high in all populations. Nei's average gene diversity across seven RFLP loci was 0.513. Hierarchical gene diversity analysis showed that 9% of the total genetic variability was distributed among continents, 4% was distributed among fields within continents, and 13% was distributed among collection stations within a field. The majority (74%) of genetic variability was distributed within collection areas of approximately 1 m(2) within fields. Gene flow appears to be significant on a regional scale but more restricted among continents. Allele frequencies were significantly different at several RFLP loci. Genetic distances were small among populations within regions and large between regions. Pairwise comparisons of genotype diversity in the populations revealed significant differences among populations that were related mainly to differences in sampling strategies. Isolates from Norway and Finland showed a lower copy hybridization pattern with probe pRS26. This probe functioned as a fingerprint probe for the California and Australian isolates. Seven out of the eight populations studied were at gametic equilibrium for RFLP loci, suggesting that R. secalis populations in Norway, Finland, and Australia undergo regular recombination, although a teleomorph has not yet been recognized.

Entities:  

Year:  2000        PMID: 18944512     DOI: 10.1094/PHYTO.2000.90.8.901

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  8 in total

1.  Isolation and characterisation of the mating-type (MAT) locus from Rhynchosporium secalis.

Authors:  Simon J Foster; Bruce D L Fitt
Journal:  Curr Genet       Date:  2003-09-27       Impact factor: 3.886

Review 2.  Rhynchosporium commune: a persistent threat to barley cultivation.

Authors:  Anna Avrova; Wolfgang Knogge
Journal:  Mol Plant Pathol       Date:  2012-06-27       Impact factor: 5.663

3.  Genetic diversity and population differentiation of the causal agent of citrus black spot in Brazil.

Authors:  Ester Wickert; Antonio de Goes; Andressa de Souza; Eliana Gertrudes de Macedo Lemos
Journal:  ScientificWorldJournal       Date:  2012-05-15

4.  Local adaptation and evolutionary potential along a temperature gradient in the fungal pathogen Rhynchosporium commune.

Authors:  Tryggvi S Stefansson; Bruce A McDonald; Yvonne Willi
Journal:  Evol Appl       Date:  2013-01-03       Impact factor: 5.183

5.  Pathogen populations evolve to greater race complexity in agricultural systems--evidence from analysis of Rhynchosporium secalis virulence data.

Authors:  Jiasui Zhan; Lina Yang; Wen Zhu; Liping Shang; Adrian C Newton
Journal:  PLoS One       Date:  2012-06-18       Impact factor: 3.240

6.  Comparative genomics to explore phylogenetic relationship, cryptic sexual potential and host specificity of Rhynchosporium species on grasses.

Authors:  Daniel Penselin; Martin Münsterkötter; Susanne Kirsten; Marius Felder; Stefan Taudien; Matthias Platzer; Kevin Ashelford; Konrad H Paskiewicz; Richard J Harrison; David J Hughes; Thomas Wolf; Ekaterina Shelest; Jenny Graap; Jan Hoffmann; Claudia Wenzel; Nadine Wöltje; Kevin M King; Bruce D L Fitt; Ulrich Güldener; Anna Avrova; Wolfgang Knogge
Journal:  BMC Genomics       Date:  2016-11-22       Impact factor: 3.969

7.  Genetic diversity of Rhynchosporium secalis in Tunisia as revealed by pathotype, AFLP, and microsatellite analyses.

Authors:  Aida Bouajila; Mathew M Abang; Samira Haouas; Sripada Udupa; Salah Rezgui; Michael Baum; Amor Yahyaoui
Journal:  Mycopathologia       Date:  2007-04-11       Impact factor: 3.785

8.  Assessment and modeling using machine learning of resistance to scald (Rhynchosporium commune) in two specific barley genetic resources subsets.

Authors:  Houda Hiddar; Sajid Rehman; Berhane Lakew; Ramesh Pal Singh Verma; Muamar Al-Jaboobi; Adil Moulakat; Zakaria Kehel; Abdelkarim Filali-Maltouf; Michael Baum; Ahmed Amri
Journal:  Sci Rep       Date:  2021-08-05       Impact factor: 4.379

  8 in total

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