Literature DB >> 11251782

The genetic architecture of disease resistance in plants and the maintenance of recombination by parasites.

P X Kover1, A L Caicedo.   

Abstract

Parasites represent strong selection on host populations because they are ubiquitous and can drastically reduce host fitness. It has been hypothesized that parasite selection could explain the widespread occurrence of recombination because it is a coevolving force that favours new genetic combinations in the host. A review of deterministic models for the maintenance of recombination reveals that for recombination to be favoured, multiple genes that interact with each other must be under selection. To evaluate whether parasite selection can explain the maintenance of recombination, we review 85 studies that investigated the genetic architecture of plant disease resistance and discuss whether they conform to the requirements that emerge from theoretical models. General characteristics of disease resistance in plants and problems in evaluating resistance experimentally are also discussed. We found strong evidence that disease resistance in plants is determined by multiple loci. Furthermore, in most cases where loci were tested for interactions, epistasis between loci that affect resistance was found. However, we found weak support for the idea that specific allelic combinations determine resistance to different host genotypes and there was little data on whether epistasis between resistance genes is negative or positive. Thus, the current data indicate that it is possible that parasite selection can favour recombination, but more studies in natural populations that specifically address the nature of the interactions between resistance genes are necessary. The data summarized here suggest that disease resistance is a complex trait and that environmental effects and fitness trade-offs should be considered in future models of the coevolutionary dynamics of host and parasites.

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Mesh:

Year:  2001        PMID: 11251782     DOI: 10.1046/j.1365-294x.2001.01124.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  20 in total

1.  Quantitative trait loci analysis of powdery mildew disease resistance in the Arabidopsis thaliana accession kashmir-1.

Authors:  I W Wilson; C L Schiff; D E Hughes; S C Somerville
Journal:  Genetics       Date:  2001-07       Impact factor: 4.562

2.  Identification and characterization of regions of the rice genome associated with broad-spectrum, quantitative disease resistance.

Authors:  Randall J Wisser; Qi Sun; Scot H Hulbert; Stephen Kresovich; Rebecca J Nelson
Journal:  Genetics       Date:  2005-02-16       Impact factor: 4.562

3.  Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust.

Authors:  M I Vales; C C Schön; F Capettini; X M Chen; A E Corey; D E Mather; C C Mundt; K L Richardson; J S Sandoval-Islas; H F Utz; P M Hayes
Journal:  Theor Appl Genet       Date:  2005-11-15       Impact factor: 5.699

4.  Mapping interspecific genetic architecture in a host-parasite interaction system.

Authors:  Jian Yang; Weiren Wu; Jun Zhu
Journal:  Genetics       Date:  2008-02-01       Impact factor: 4.562

5.  Genetic architecture of factors underlying partial resistance to Alternaria leaf blight in carrot.

Authors:  Valérie Le Clerc; Anna Pawelec; Christelle Birolleau-Touchard; Anita Suel; Mathilde Briard
Journal:  Theor Appl Genet       Date:  2009-02-13       Impact factor: 5.699

6.  Molecular mapping for resistance to pea rust caused by Uromyces fabae (Pers.) de-Bary.

Authors:  Rashmi Rai; Anil Kumar Singh; Brahma Deo Singh; Arun Kumar Joshi; Ramesh Chand; Chandra Prakash Srivastava
Journal:  Theor Appl Genet       Date:  2011-06-14       Impact factor: 5.699

7.  Powdery mildew resistance in roses: QTL mapping in different environments using selective genotyping.

Authors:  M Linde; A Hattendorf; H Kaufmann; Th Debener
Journal:  Theor Appl Genet       Date:  2006-08-09       Impact factor: 5.699

8.  Quantitative resistance to late blight from Solanum berthaultii cosegregates with R(Pi-ber): insights in stability through isolates and environment.

Authors:  Gilda Rauscher; Ivan Simko; Hilary Mayton; Merideth Bonierbale; Christine D Smart; Niklaus J Grünwald; Andrew Greenland; William E Fry
Journal:  Theor Appl Genet       Date:  2010-08-06       Impact factor: 5.699

9.  On the causes of selection for recombination underlying the red queen hypothesis.

Authors:  Marcel Salathé; Roger D Kouyos; Sebastian Bonhoeffer
Journal:  Am Nat       Date:  2009-07       Impact factor: 3.926

10.  Dissecting the genetic architecture of host-pathogen specificity.

Authors:  Louis Lambrechts
Journal:  PLoS Pathog       Date:  2010-08-05       Impact factor: 6.823

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