Article

Hessian fly resistance gene H13 is mapped to a distal cluster of resistance genes in chromosome 6DS of wheat.

Department of Entomology and Plant Science and Entomology Research Unit, USDA-ARS, Kansas State University, Manhattan, 66506, USA.
Theoretical and Applied Genetics (Impact Factor: 3.51). 08/2005; 111(2):243-9. DOI: 10.1007/s00122-005-2009-5
Source: PubMed

ABSTRACT H13 is inherited as a major dominant resistance gene in wheat. It was previously mapped to chromosome 6DL and expresses a high level of antibiosis against Hessian fly (Hf) [Mayetiola destructor (Say)] larvae. The objective of this study was to identify tightly linked molecular markers for marker-assisted selection in wheat breeding and as a starting point toward the map-based cloning of H13. Fifty-two chromosome 6D-specific microsatellite (simple sequence repeat) markers were tested for linkage to H13 using near-isogenic lines Molly (PI 562619) and Newton-207, and a segregating population consisting of 192 F(2:3) families derived from the cross PI 372129 (Dn4) x Molly (H13). Marker Xcfd132 co-segregated with H13, and several other markers were tightly linked to H13 in the distal region of wheat chromosome 6DS. Deletion analysis assigned H13 to a small region closely proximal to the breakpoint of del6DS-6 (FL 0.99). Further evaluation and comparison of the H13-linked markers revealed that the same chromosome region may also contain H23 in KS89WGRC03, an unnamed H gene (H(WGRC4)) in KS89WGRC04, the wheat curl mite resistance gene Cmc4, and a defense response gene Ppo for polyphenol oxidase. Thus, these genes comprise a cluster of arthropod resistance genes. Marker analysis also revealed that a very small intercalary chromosomal segment carrying H13 was transferred from the H13 donor parent to the wheat line Molly.

0 Bookmarks
 · 
114 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Biotic stresses including diseases (leaf, stem and stripe rusts), arthropods (greenbug [GB], Hessian fly [Hf], Russian wheat aphid [RWA], and wheat curl mite [WCM]) and their transmitted viral diseases significantly affect grain yield and end-use quality of hard winter wheat (Triticum aestivum L.) in the U.S. Great Plains. Many genes or quantitative trait loci (QTL) have been identified for seedling or adult-plant resistance to these stresses. Molecular markers for these genes or QTL have been identified using mapping or cloning. This study summarizes the markers associated with various effective genes, including genes or QTL conferring resistances to arthropods, such as GB (7), RWA (4), Hf (9), and WCM (4) and diseases including leaf, stem and stripe rusts (26) and Wheat streak mosaic virus (WSMV; 2); genes or QTL for end-use quality traits such as high (3) and low (13) molecular weight glutenin subunits, gliadin (3), polyphenol oxidase (2), granule-bound starch synthase (3), puroindoline (2), and preharvesting sprouting (1); genes on wheat–rye (Secale cereale L.) chromosomal translocations of 1AL.1RS and 1BL.1RS; and genes controlling plant height (12), photoperiod sensitivity (1), and vernalization (2). A subset of the markers was validated using a set of diverse wheat lines developed by breeding programs in the Great Plains. These analyses showed that most markers are diagnostic in only limited genetic backgrounds. However, some markers developed from the gene sequences or alien fragments are highly diagnostic across various backgrounds, such as those markers linked to Rht-B1, Rht-D1, Ppd-D1, Glu-D1, Glu-A1, and 1AL.1RS. Knowledge of both genotype and phenotype of advanced breeding lines could help breeders to select the optimal parents to integrate various genes into new cultivars and increase the efficiency of wheat breeding.
    Crop Science 07/2014; 54(4-4):1304-1321. DOI:10.2135/cropsci2013.08.0564 · 1.48 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The gene-for-gene interaction is a battle whose outcome depends on genetic variation at specific resistance genes (R/– and r/r) and cognate parasite avirulence genes (A/– and a/a). Parasites use a host of effector proteins, represented as small shapes, to attack specific targets (T1 and T2) in plant cells. In the red panel, resistance proteins (R) that perceive the presence of a cognate effector (E) elicit effector-triggered immunity. In the green panels, perception fails due to the absence of R or E, and susceptibility results.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Highly specialized obligate plant-parasites exist within several groups of arthropods (insects and mites). Many of these are important pests, but the molecular basis of their parasitism and its evolution are poorly understood. One hypothesis is that plant parasitic arthropods use effector proteins to defeat basal plant immunity and modulate plant growth. Because avirulence (Avr) gene discovery is a reliable method of effector identification, we tested this hypothesis using high-resolution molecular genetic mapping of an Avr gene (vH13) in the Hessian fly (HF, Mayetiola destructor), an important gall midge pest of wheat (Triticum spp.). Chromosome walking resolved the position of vH13, and revealed alleles that determine whether HF larvae are virulent (survive) or avirulent (die) on wheat seedlings carrying the wheat H13 resistance gene. Association mapping found three independent insertions in vH13 that appear to be responsible for H13-virulence in field populations. We observed vH13 transcription in H13-avirulent larvae and the salivary glands of H13-avirulent larvae, but not in H13-virulent larvae. RNA-interference-knockdown of vH13 transcripts allowed some H13-avirulent larvae to escape H13-directed resistance. vH13 is the first Avr gene identified in an arthropod. It encodes a small modular protein with no sequence similarities to other proteins in GenBank. These data clearly support the hypothesis that an effector-based strategy has evolved in multiple lineages of plant parasites, including arthropods.
    PLoS ONE 06/2014; 9(6):e100958. DOI:10.1371/journal.pone.0100958 · 3.53 Impact Factor

Full-text (2 Sources)

Download
27 Downloads
Available from
May 21, 2014