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

Publication Overview
TitleMapping fusarium wilt race 1 resistance genes in cotton by inheritance, QTL and sequencing composition
AuthorsUlloa M, Wang C, Hutmacher RB, Wright SD, Davis RM, Saski CA, Roberts PA
TypeJournal Article
Journal NameMolecular genetics and genomics MGG
Volume286
Issue1
Year2011
Page(s)21-36
CitationUlloa M, Wang C, Hutmacher RB, Wright SD, Davis RM, Saski CA, Roberts PA. Mapping fusarium wilt race 1 resistance genes in cotton by inheritance, QTL and sequencing composition. Molecular genetics and genomics MGG. 2011; 286(1):21-36.

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 F2 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 F2 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 F2 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.
Features
This publication contains information about 10 features:
Feature NameUniquenameType
M-CAA_E-AAC-85M-CAA_E-AAC-85genetic_marker
M-CAA_E-AGC-169M-CAA_E-AGC-169genetic_marker
fusarium wilt resistanceqFWR.PN-F2_ch16.1QTL
fusarium wilt resistanceqFWR.PN-F2_ch16.2QTL
fusarium wilt resistanceqFWR.T3-RIL_ch16QTL
fusarium wilt resistanceqFWR.T3-RIL_ch06QTL
fusarium wilt resistanceqFWR.T3-RIL_ch08QTL
fusarium wilt resistanceqFWR.T3-RIL_ch11.1QTL
fusarium wilt resistanceqFWR.T3-RIL_ch11.2QTL
fusarium wilt resistanceqFWR.T3-RIL_ch19QTL
Projects
This publication contains information about 2 projects:
Project NameDescription
PN-F2-2011
T3-RIL-2011
Featuremaps
This publication contains information about 2 maps:
Map Name
Pima-S7 x NemX, F2 (2011)
TM-1 x 3-79, RIL (2011)
Properties
Additional details for this publication include:
Property NameValue
Publication TypeJournal Article
Publication Date2011
Published Location|||
Language Abbreng
Publication Model[electronic resource].
URLhttp://dx.doi.org/10.1007/s00438-011-0616-1
KeywordsGossypium, plant pathogenic fungi, genetic resistance, disease resistance, chromosome mapping, genes, quantitative trait loci, Fusarium wilt, Fusarium oxysporum f. sp. vasinfectum, genetic markers, genome, inbred lines, crossing, Gossypium hirsutum, Gossypium barbadense, greenhouse experimentation, field experimentation, disease severity, leaves, stems, roots, chromosomes