Literature DB >> 15372153

Validation of quantitative trait loci for Ascochyta blight resistance in pea ( Pisum sativum L.), using populations from two crosses.

Gail M Timmerman-Vaughan1, Tonya J Frew, Ruth Butler, Sarah Murray, Margy Gilpin, Karla Falloon, Paul Johnston, Michael B Lakeman, Adrian Russell, Tanveer Khan.   

Abstract

Resistance to Ascochyta blight of pea was genetically characterized by mapping quantitative trait loci (QTLs) using two crosses, 3147-A26 (A26, partially resistant) x cultivar Rovar (susceptible) and 3148-A88 (A88, partially resistant) x Rovar, with the aim of developing an increased understanding of the genetics of resistance and of identifying linked molecular markers that may be used to develop resistant germplasm. Molecular linkage maps for both crosses were aligned so that the results of QTL mapping could be compared. Ascochyta blight disease severity in response to natural epidemics was measured in field trials conducted in Western Australia and New Zealand. Eleven putative QTLs for Ascochyta blight resistance were identified from the A26 x Rovar population and 14 putative QTLs from the A88 x Rovar population. Six QTLs were associated with the same genomic regions in both populations. These QTLs reside on linkage groups II, III, IV, V, and VII (two QTLs). The severity of Ascochyta blight disease symptoms on pea increases during field epidemics as plants mature; therefore, QTLs for plant reproductive maturity were mapped. Six QTLs were detected for plant maturity in the A26 x Rovar population, while five plant maturity QTLs were mapped in the A88 x Rovar population. QTLs for plant maturity coincide with Ascochyta blight resistance QTLs in four genomic regions, on linkage groups II (two regions), III, and V. The plant maturity and Ascochyta blight resistance QTLs on III were linked in repulsion phase. Therefore, the coincidence of these QTLs may be explained by linkage of distinct loci for the two traits. The QTLs on linkage groups II and V were linked in coupling phase; therefore, linked QTLs for resistance and maturity may be present in these regions, or the Ascochyta blight resistance QTLs detected in these regions are the result of pleiotropic effects of plant-maturity genetic loci.

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Year:  2004        PMID: 15372153     DOI: 10.1007/s00122-004-1779-5

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


  9 in total

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Authors:  R C de la Pena; K P Smith; F Capettini; G J Muehlbauer; M Gallo-Meagher; R Dill-Macky; D A Somers; D C Rasmusson
Journal:  Theor Appl Genet       Date:  1999-08       Impact factor: 5.699

2.  Accuracy of mapping quantitative trait loci in autogamous species.

Authors:  J W van Ooijen
Journal:  Theor Appl Genet       Date:  1992-09       Impact factor: 5.699

3.  Confidence intervals in QTL mapping by bootstrapping.

Authors:  P M Visscher; R Thompson; C S Haley
Journal:  Genetics       Date:  1996-06       Impact factor: 4.562

4.  Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects.

Authors:  A E Melchinger; H F Utz; C C Schön
Journal:  Genetics       Date:  1998-05       Impact factor: 4.562

5.  Mapping of quantitative trait loci for field resistance to Fusarium head blight in an European winter wheat.

Authors:  L Gervais; F Dedryver; J-Y Morlais; V Bodusseau; S Negre; M Bilous; C Groos; M Trottet
Journal:  Theor Appl Genet       Date:  2002-12-13       Impact factor: 5.699

6.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

7.  Can the QTL for late blight resistance on potato chromosome 5 be attributed to foliage maturity type?

Authors:  M H P W Visker; L C P Keizer; H J Van Eck; E Jacobsen; L T Colon; P C Struik
Journal:  Theor Appl Genet       Date:  2002-08-22       Impact factor: 5.699

8.  Mapping of quantitative trait Loci for fusarium head blight resistance in barley.

Authors:  Z Ma; B J Steffenson; L K Prom; N L Lapitan
Journal:  Phytopathology       Date:  2000-10       Impact factor: 4.025

9.  Restriction fragment length polymorphism analysis of loci associated with disease resistance genes and developmental traits in Pisum sativum L.

Authors:  E Dirlewanger; P G Isaac; S Ranade; M Belajouza; R Cousin; D de Vienne
Journal:  Theor Appl Genet       Date:  1994-04       Impact factor: 5.699

  9 in total
  20 in total

1.  Ascochyta blight disease of pea (Pisum sativum L.): defence-related candidate genes associated with QTL regions and identification of epistatic QTL.

Authors:  Gail M Timmerman-Vaughan; Leire Moya; Tonya J Frew; Sarah R Murray; Ross Crowhurst
Journal:  Theor Appl Genet       Date:  2016-01-22       Impact factor: 5.699

Review 2.  Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).

Authors:  Arun K Pandey; Diego Rubiales; Yonggang Wang; Pingping Fang; Ting Sun; Na Liu; Pei Xu
Journal:  Theor Appl Genet       Date:  2021-01-12       Impact factor: 5.699

3.  Identification of quantitative trait loci and candidate genes for specific cellular resistance responses against Didymella pinodes in pea.

Authors:  E Carrillo; Z Satovic; G Aubert; K Boucherot; D Rubiales; S Fondevilla
Journal:  Plant Cell Rep       Date:  2014-04-05       Impact factor: 4.570

4.  Candidate genes for quantitative resistance to Mycosphaerella pinodes in pea (Pisum sativum L.).

Authors:  S Prioul-Gervais; G Deniot; E-M Receveur; A Frankewitz; M Fourmann; C Rameau; M-L Pilet-Nayel; A Baranger
Journal:  Theor Appl Genet       Date:  2007-01-31       Impact factor: 5.699

5.  A novel lipoxygenase in pea roots. Its function in wounding and biotic stress.

Authors:  Pasqua Veronico; Donato Giannino; M Teresa Melillo; Antonella Leone; Aurelio Reyes; Malcolm W Kennedy; Teresa Bleve-Zacheo
Journal:  Plant Physiol       Date:  2006-05-05       Impact factor: 8.340

6.  Identification of a candidate gene underlying qKRN5b for kernel row number in Zea mays L.

Authors:  Xiaomeng Shen; Ran Zhao; Lei Liu; Can Zhu; Manfei Li; Hewei Du; Zuxin Zhang
Journal:  Theor Appl Genet       Date:  2019-10-14       Impact factor: 5.699

7.  Identification of genes differentially expressed in a resistant reaction to Mycosphaerella pinodes in pea using microarray technology.

Authors:  Sara Fondevilla; Helge Küster; Franziska Krajinski; José I Cubero; Diego Rubiales
Journal:  BMC Genomics       Date:  2011-01-13       Impact factor: 3.969

8.  Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea.

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Review 9.  Genomics-assisted breeding in four major pulse crops of developing countries: present status and prospects.

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Journal:  Theor Appl Genet       Date:  2014-04-08       Impact factor: 5.699

10.  Gene-based SNP discovery and genetic mapping in pea.

Authors:  Anoop Sindhu; Larissa Ramsay; Lacey-Anne Sanderson; Robert Stonehouse; Rong Li; Janet Condie; Arun S K Shunmugam; Yong Liu; Ambuj B Jha; Marwan Diapari; Judith Burstin; Gregoire Aubert; Bunyamin Tar'an; Kirstin E Bett; Thomas D Warkentin; Andrew G Sharpe
Journal:  Theor Appl Genet       Date:  2014-08-15       Impact factor: 5.699

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