Literature DB >> 15166159

A physically anchored genetic map and linkage to avirulence reveals recombination suppression over the proximal region of Hessian fly chromosome A2.

Susanta K Behura1, Fernando H Valicente, S Dean Rider, Ming Shun-Chen, Scott Jackson, Jeffrey J Stuart.   

Abstract

Resistance in wheat (Triticum aestivum) to the Hessian fly (Mayetiola destructor), a major insect pest of wheat, is based on a gene-for-gene interaction. Close linkage (3 +/- 2 cM) was discovered between Hessian fly avirulence genes vH3 and vH5. Bulked segregant analysis revealed two DNA markers (28-178 and 23-201) within 10 cM of these loci and only 3 +/- 2 cM apart. However, 28-178 was located in the middle of the short arm of Hessian fly chromosome A2 whereas 23-201 was located in the middle of the long arm of chromosome A2, suggesting the presence of severe recombination suppression over its proximal region. To further test that possibility, an AFLP-based genetic map of the Hessian fly genome was constructed. Fluorescence in situ hybridization of 20 markers on the genetic map to the polytene chromosomes of the Hessian fly indicated good correspondence between the linkage groups and the four Hessian fly chromosomes. The physically anchored genetic map is the first of any gall midge species. The proximal region of mitotic chromosome A2 makes up 30% of its length but corresponded to <3% of the chromosome A2 genetic map.

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Year:  2004        PMID: 15166159      PMCID: PMC1470865          DOI: 10.1534/genetics.167.1.343

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  21 in total

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Authors:  S D Tanksley; M W Ganal; J P Prince; M C de Vicente; M W Bonierbale; P Broun; T M Fulton; J J Giovannoni; S Grandillo; G B Martin
Journal:  Genetics       Date:  1992-12       Impact factor: 4.562

2.  Bacterial avirulence genes.

Authors:  J E Leach; F F White
Journal:  Annu Rev Phytopathol       Date:  1996       Impact factor: 13.078

3.  Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.

Authors:  R W Michelmore; I Paran; R V Kesseli
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

4.  Genetic variation among populations of the Hessian fly Mayetiola destructor (Diptera: Cecidomyiidae) in Morocco and Syria.

Authors:  N Naber; M El Bouhssini; M Labhilili; S M Udupa; M M Nachit; M Baum; S Lhaloui; A Benslimane; H El Abbouyi
Journal:  Bull Entomol Res       Date:  2000-06       Impact factor: 1.750

5.  Relationship between transcription and initiation of meiotic recombination: toward chromatin accessibility.

Authors:  A Nicolas
Journal:  Proc Natl Acad Sci U S A       Date:  1998-01-06       Impact factor: 11.205

6.  Experiments on chromosome elimination in the gall midge, Mayetiola destructor.

Authors:  C R Bantock
Journal:  J Embryol Exp Morphol       Date:  1970-09

7.  Molecular genetic mapping of three X-linked avirulence genes, vH6, vH9 and vH13, in the Hessian fly.

Authors:  S J Schulte; S D Rider; J H Hatchett; J J Stuart
Journal:  Genome       Date:  1999-10       Impact factor: 2.166

8.  A high-density cytogenetic map of the Aegilops tauschii genome incorporating retrotransposons and defense-related genes: insights into cereal chromosome structure and function.

Authors:  Elena Boyko; Ruslan Kalendar; Victor Korzun; John Fellers; Abraham Korol; Alan H Schulman; Bikram S Gill
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

9.  Genotypic interaction between resistance genes in wheat and virulence genes in the Hessian fly Mayetiola destructor (Diptera: Cecidomyiidae).

Authors:  M El Bouhssini; J H Hatchett; T S Cox; G E Wilde
Journal:  Bull Entomol Res       Date:  2001-10       Impact factor: 1.750

10.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

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  6 in total

1.  Rapid mobilization of membrane lipids in wheat leaf sheaths during incompatible interactions with Hessian fly.

Authors:  Lieceng Zhu; Xuming Liu; Haiyan Wang; Chitvan Khajuria; John C Reese; R Jeff Whitworth; Ruth Welti; Ming-Shun Chen
Journal:  Mol Plant Microbe Interact       Date:  2012-07       Impact factor: 4.171

2.  Genome structure and emerging evidence of an incipient sex chromosome in Populus.

Authors:  Tongming Yin; Stephen P Difazio; Lee E Gunter; Xinye Zhang; Michell M Sewell; Scott A Woolbright; Gery J Allan; Collin T Kelleher; Carl J Douglas; Mingxiu Wang; Gerald A Tuskan
Journal:  Genome Res       Date:  2008-02-06       Impact factor: 9.043

3.  A neo-sex chromosome that drives postzygotic sex determination in the hessian fly (Mayetiola destructor).

Authors:  Thiago R Benatti; Fernando H Valicente; Rajat Aggarwal; Chaoyang Zhao; Jason G Walling; Ming-Shun Chen; Sue E Cambron; Brandon J Schemerhorn; Jeffrey J Stuart
Journal:  Genetics       Date:  2009-12-21       Impact factor: 4.562

4.  Genomic analysis of a 1 Mb region near the telomere of Hessian fly chromosome X2 and avirulence gene vH13.

Authors:  Neil F Lobo; Susanta K Behura; Rajat Aggarwal; Ming-Shun Chen; Frank H Collins; Jeff J Stuart
Journal:  BMC Genomics       Date:  2006-01-16       Impact factor: 3.969

5.  A BAC-based physical map of the Hessian fly genome anchored to polytene chromosomes.

Authors:  Rajat Aggarwal; Thiago R Benatti; Navdeep Gill; Chaoyang Zhao; Ming-Shun Chen; John P Fellers; Brandon J Schemerhorn; Jeff J Stuart
Journal:  BMC Genomics       Date:  2009-07-02       Impact factor: 3.969

6.  Avirulence effector discovery in a plant galling and plant parasitic arthropod, the Hessian fly (Mayetiola destructor).

Authors:  Rajat Aggarwal; Subhashree Subramanyam; Chaoyang Zhao; Ming-Shun Chen; Marion O Harris; Jeff J Stuart
Journal:  PLoS One       Date:  2014-06-25       Impact factor: 3.240

  6 in total

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