Literature DB >> 15947909

Identification and validation of QTL for Sclerotinia midstalk rot resistance in sunflower by selective genotyping.

Z Micic1, V Hahn, E Bauer, A E Melchinger, S J Knapp, S Tang, C C Schön.   

Abstract

Midstalk rot, caused by Sclerotinia sclerotiorum (Lib.) de Bary, is an important cause of yield loss in sunflower (Helianthus annuus L.). Objectives of this study were to: (1) estimate the number, genomic positions and genetic effects of quantitative trait loci (QTL) for resistance to midstalk rot in line TUB-5-3234, derived from an interspecific cross; (2) determine congruency of QTL between this line and other sources of resistance; and (3) make inferences about the efficiency of selective genotyping (SG) in detecting QTL conferring midstalk rot resistance in sunflower. Phenotypic data for three resistance (stem lesion, leaf lesion and speed of fungal growth) and two morphological (leaf length and leaf length with petiole) traits were obtained from 434 F3 families from cross CM625 (susceptible) x TUB-5-3234 (resistant) under artificial infection in field experiments across two environments. The SG was applied by choosing the 60 most resistant and the 60 most susceptible F3 families for stem lesion. For genotyping of the respective F2 plants, 78 simple sequence repeat markers were used. Genotypic variances were highly significant for all traits. Heritabilities and genotypic correlations between reMidstalk rot, caused by Sclerotinia sclerotiorum (Lib.) de Bary, is an important cause of yield loss in sunflower (Helianthus annuus L.). Objectives of this study were to: (1) estimate the number, genomic positions and genetic effects of quantitative trait loci (QTL) for resistance to midstalk rot in line TUB-5-3234, derived from an interspecific cross; (2) determine congruency of QTL between this line and other sources of resistance; and (3) make inferences about the efficiency of selective genotyping (SG) in detecting QTL conferring midstalk rot resistance in sunflower. Phenotypic data for three resistance (stem lesion, leaf lesion and speed of fungal growth) and two morphological (leaf length and leaf length with petiole) traits were obtained from 434 F3 families from cross CM625 (susceptible) x TUB-5-3234 (resistant) under artificial infection in field experiments across two environments. The SG was applied by choosing the 60 most resistant and the 60 most susceptible F3 families for stem lesion. For genotyping of the respective F2 plants, 78 simple sequence repeat markers were used. Genotypic variances were highly significant for all traits. Heritabilities and genotypic correlations between resistance traits were moderate to high. Three to four putative QTL were detected for each resistance trait explaining between 40.8% and 72.7% of the genotypic variance (PTS). Two QTL for stem lesion showed large genetic effects and corroborated earlier findings from the cross NDBLOSsel (resistant) x CM625 (susceptible). Our results suggest that SG can be efficiently used for QTL detection and the analysis of congruency for resistance genes across populations.

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Year:  2005        PMID: 15947909     DOI: 10.1007/s00122-005-2004-x

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


  16 in total

1.  Genetic analysis of sunflower domestication.

Authors:  John M Burke; Shunxue Tang; Steven J Knapp; Loren H Rieseberg
Journal:  Genetics       Date:  2002-07       Impact factor: 4.562

2.  Quantitative trait locus mapping based on resampling in a vast maize testcross experiment and its relevance to quantitative genetics for complex traits.

Authors:  Chris C Schön; H Friedrich Utz; Susanne Groh; Bernd Truberg; Steve Openshaw; Albrecht E Melchinger
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

3.  Trait-based analyses for the detection of linkage between marker loci and quantitative trait loci in crosses between inbred lines.

Authors:  R J Lebowitz; M Soller; J S Beckmann
Journal:  Theor Appl Genet       Date:  1987-02       Impact factor: 5.699

4.  Permutation tests for multiple loci affecting a quantitative character.

Authors:  R W Doerge; G A Churchill
Journal:  Genetics       Date:  1996-01       Impact factor: 4.562

5.  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

6.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

7.  High resolution of quantitative traits into multiple loci via interval mapping.

Authors:  R C Jansen; P Stam
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

8.  Comparative genetic analysis of quantitative traits in sunflower ( Helianthus annuus L.) 1. QTL involved in resistance to Sclerotinia sclerotiorum and Diaporthe helianthi.

Authors:  P.-F. Bert; I. Jouan; D. Tourvieille De Labrouhe; F. Serre; P. Nicolas; F. Vear
Journal:  Theor Appl Genet       Date:  2002-07-17       Impact factor: 5.699

9.  QTL mapping of Sclerotinia midstalk-rot resistance in sunflower.

Authors:  Z Micic; V Hahn; E Bauer; C C Schön; S J Knapp; S Tang; A E Melchinger
Journal:  Theor Appl Genet       Date:  2004-10-09       Impact factor: 5.699

10.  Effectiveness of selective genotyping for detection of quantitative trait loci: an analysis of grain and malt quality traits in three barley populations.

Authors:  M Ayoub; D E Mather
Journal:  Genome       Date:  2002-12       Impact factor: 2.166

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  12 in total

1.  Identification of QTL for increased fibrous roots in soybean.

Authors:  Hussein Abdel-Haleem; Geung-Joo Lee; Roger H Boerma
Journal:  Theor Appl Genet       Date:  2010-12-17       Impact factor: 5.699

2.  QTL mapping of resistance to Sclerotinia midstalk rot in RIL of sunflower population NDBLOSsel x CM625.

Authors:  Z Micic; V Hahn; E Bauer; C C Schön; A E Melchinger
Journal:  Theor Appl Genet       Date:  2005-04-20       Impact factor: 5.699

3.  Candidate gene association mapping of Sclerotinia stalk rot resistance in sunflower (Helianthus annuus L.) uncovers the importance of COI1 homologs.

Authors:  Zahirul I Talukder; Brent S Hulke; Lili Qi; Brian E Scheffler; Venkatramana Pegadaraju; Kevin McPhee; Thomas J Gulya
Journal:  Theor Appl Genet       Date:  2013-11-06       Impact factor: 5.699

4.  Marker-assisted selection for early-season cold tolerance in sorghum: QTL validation across populations and environments.

Authors:  Joseph Knoll; Gebisa Ejeta
Journal:  Theor Appl Genet       Date:  2007-12-19       Impact factor: 5.699

5.  Using near-isogenic barley lines to validate deoxynivalenol (DON) QTL previously identified through association analysis.

Authors:  Stephanie Navara; Kevin P Smith
Journal:  Theor Appl Genet       Date:  2013-12-18       Impact factor: 5.699

6.  Inheritance and molecular mapping of powdery mildew (Golovinomyces orontii) resistance gene(s) in sunflower (Helianthus annuus L.).

Authors:  Prathap Reddy Kallamadi; Sujatha Mulpuri
Journal:  3 Biotech       Date:  2020-05-06       Impact factor: 2.406

7.  Association mapping in sunflower for Sclerotinia Head Rot resistance.

Authors:  Corina M Fusari; Julio A Di Rienzo; Carolina Troglia; Verónica Nishinakamasu; María Valeria Moreno; Carla Maringolo; Facundo Quiroz; Daniel Alvarez; Alberto Escande; Esteban Hopp; Ruth Heinz; Verónica V Lia; Norma B Paniego
Journal:  BMC Plant Biol       Date:  2012-06-18       Impact factor: 4.215

8.  Main and epistatic QTL analyses for Sclerotinia Head Rot resistance in sunflower.

Authors:  Jeremías Enrique Zubrzycki; Carla Andrea Maringolo; Carla Valeria Filippi; Facundo José Quiróz; Verónica Nishinakamasu; Andrea Fabiana Puebla; Julio A Di Rienzo; Alberto Escande; Verónica Viviana Lia; Ruth Amalia Heinz; Horacio Esteban Hopp; Gerardo D L Cervigni; Norma Beatriz Paniego
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

9.  Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower.

Authors:  C V Filippi; J E Zubrzycki; J A Di Rienzo; F J Quiroz; A F Puebla; D Alvarez; C A Maringolo; A R Escande; H E Hopp; R A Heinz; N B Paniego; V V Lia
Journal:  BMC Plant Biol       Date:  2020-07-08       Impact factor: 4.215

10.  Differentially expressed proteins and associated histological and disease progression changes in cotyledon tissue of a resistant and susceptible genotype of brassica napus infected with Sclerotinia sclerotiorum.

Authors:  Harsh Garg; Hua Li; Krishnapillai Sivasithamparam; Martin J Barbetti
Journal:  PLoS One       Date:  2013-06-11       Impact factor: 3.240

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