Literature DB >> 21533837

Mapping Fusarium wilt race 1 resistance genes in cotton by inheritance, QTL and sequencing composition.

Mauricio Ulloa1, Congli Wang, Robert B Hutmacher, Steven D Wright, R Michael Davis, Christopher A Saski, Philip A Roberts.   

Abstract

Knowledge of the inheritance of disease resistance and genomic regions housing resistance (R) genes is essential to prevent expanding pathogen threats such as Fusarium wilt [Fusarium oxysporum f.sp. vasinfectum (FOV) Atk. Sny & Hans] in cotton (Gossypium spp.). We conducted a comprehensive study combining conventional inheritance, genetic and quantitative trait loci (QTL) mapping, QTL marker-sequence composition, and genome sequencing to examine the distribution, structure and organization of disease R genes to race 1 of FOV in the cotton genome. Molecular markers were applied to F(2) and recombinant inbred line (RIL) interspecific mapping populations from the crosses Pima-S7 (G. barbadense L.) × 'Acala NemX' (G. hirsutum L.) and Upland TM-1 (G. hirsutum) × Pima 3-79 (G. barbadense), respectively. Three greenhouse tests and one field test were used to obtain sequential estimates of severity index (DSI) of leaves, and vascular stem and root staining (VRS). A single resistance gene model was observed for the F(2) population based on inheritance of phenotypes. However, additional inheritance analyses and QTL mapping indicated gene interactions and inheritance from nine cotton chromosomes, with major QTLs detected on five chromosomes [Fov1-C06, Fov1-C08, (Fov1-C11 ( 1 ) and Fov1-C11 ( 2)) , Fov1-C16 and Fov1-C19 loci], explaining 8-31% of the DSI or VRS variation. The Fov1-C16 QTL locus identified in the F(2) and in the RIL populations had a significant role in conferring FOV race 1 resistance in different cotton backgrounds. Identified molecular markers may have important potential for breeding effective FOV race 1 resistance into elite cultivars by marker-assisted selection. Reconciliation between genetic and physical mapping of gene annotations from marker-DNA and new DNA sequences of BAC clones tagged with the resistance-associated QTLs revealed defenses genes induced upon pathogen infection and gene regions rich in disease-response elements, respectively. These offer candidate gene targets for Fusarium wilt resistance response in cotton and other host plants.

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Year:  2011        PMID: 21533837     DOI: 10.1007/s00438-011-0616-1

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  25 in total

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Review 3.  Significance of inducible defense-related proteins in infected plants.

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5.  A microsatellite-based, gene-rich linkage map reveals genome structure, function and evolution in Gossypium.

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Review 6.  Elicitors, effectors, and R genes: the new paradigm and a lifetime supply of questions.

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7.  Identification and mapping of microsatellite markers linked to a root-knot nematode resistance gene (rkn1) in Acala NemX cotton (Gossypium hirsutum L.).

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  18 in total

1.  Mapping genomic loci for cotton plant architecture, yield components, and fiber properties in an interspecific (Gossypium hirsutum L. × G. barbadense L.) RIL population.

Authors:  John Z Yu; Mauricio Ulloa; Steven M Hoffman; Russell J Kohel; Alan E Pepper; David D Fang; Richard G Percy; John J Burke
Journal:  Mol Genet Genomics       Date:  2014-10-15       Impact factor: 3.291

2.  Cotton QTLdb: a cotton QTL database for QTL analysis, visualization, and comparison between Gossypium hirsutum and G. hirsutum × G. barbadense populations.

Authors:  Joseph I Said; Joseph A Knapka; Mingzhou Song; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2015-03-11       Impact factor: 3.291

3.  Analyses of Fusarium wilt race 3 resistance in Upland cotton (Gossypium hirsutum L.).

Authors:  Alisher A Abdullaev; Ilkhom B Salakhutdinov; Sharof Sh Egamberdiev; Zarif Kuryazov; Ludmila A Glukhova; Azoda T Adilova; Sofiya M Rizaeva; Mauricio Ulloa; Ibrokhim Y Abdurakhmonov
Journal:  Genetica       Date:  2015-04-21       Impact factor: 1.082

4.  A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations.

Authors:  Joseph I Said; Mingzhou Song; Hantao Wang; Zhongxu Lin; Xianlong Zhang; David D Fang; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2014-12-12       Impact factor: 3.291

5.  Inheritance and QTL mapping of Fusarium wilt race 4 resistance in cotton.

Authors:  Mauricio Ulloa; Robert B Hutmacher; Philip A Roberts; Steven D Wright; Robert L Nichols; R Michael Davis
Journal:  Theor Appl Genet       Date:  2013-03-08       Impact factor: 5.699

6.  Analysis of root-knot nematode and fusarium wilt disease resistance in cotton (Gossypium spp.) using chromosome substitution lines from two alien species.

Authors:  M Ulloa; C Wang; S Saha; R B Hutmacher; D M Stelly; J N Jenkins; J Burke; P A Roberts
Journal:  Genetica       Date:  2016-02-17       Impact factor: 1.082

7.  A genome-wide association study uncovers consistent quantitative trait loci for resistance to Verticillium wilt and Fusarium wilt race 4 in the US Upland cotton.

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8.  QTL analysis for transgressive resistance to root-knot nematode in interspecific cotton (Gossypium spp.) progeny derived from susceptible parents.

Authors:  Congli Wang; Mauricio Ulloa; Teresa R Mullens; John Z Yu; Philip A Roberts
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

9.  A high-density simple sequence repeat and single nucleotide polymorphism genetic map of the tetraploid cotton genome.

Authors:  John Z Yu; Russell J Kohel; David D Fang; Jaemin Cho; Allen Van Deynze; Mauricio Ulloa; Steven M Hoffman; Alan E Pepper; David M Stelly; Johnie N Jenkins; Sukumar Saha; Siva P Kumpatla; Manali R Shah; William V Hugie; Richard G Percy
Journal:  G3 (Bethesda)       Date:  2012-01-01       Impact factor: 3.154

10.  Systematic analysis and comparison of nucleotide-binding site disease resistance genes in a diploid cotton Gossypium raimondii.

Authors:  Hengling Wei; Wei Li; Xiwei Sun; Shuijin Zhu; Jun Zhu
Journal:  PLoS One       Date:  2013-08-06       Impact factor: 3.240

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