Literature DB >> 17115126

A high-density consensus map of barley to compare the distribution of QTLs for partial resistance to Puccinia hordei and of defence gene homologues.

T C Marcel1, R K Varshney, M Barbieri, H Jafary, M J D de Kock, A Graner, R E Niks.   

Abstract

A consensus map of barley was constructed based on three reference doubled haploid (DH) populations and three recombinant inbred line (RIL) populations. Several sets of microsatellites were used as bridge markers in the integration of those populations previously genotyped with RFLP or with AFLP markers. Another set of 61 genic microsatellites was mapped for the first time using a newly developed fluorescent labelling strategy, referred to as A/T labelling. The final map contains 3,258 markers spanning 1,081 centiMorgans (cM) with an average distance between two adjacent loci of 0.33 cM. This is the highest density of markers reported for a barley genetic map to date. The consensus map was divided into 210 BINs of about 5 cM each in which were placed 19 quantitative trait loci (QTL) contributing to the partial resistance to barley leaf rust (Puccinia hordei Otth) in five of the integrated populations. Each parental barley combination segregated for different sets of QTLs, with only few QTLs shared by any pair of cultivars. Defence gene homologues (DGH) were identified by tBlastx homology to known genes involved in the defence of plants against microbial pathogens. Sixty-three DGHs were located into the 210 BINs in order to identify candidate genes responsible for the QTL effects. Eight BINs were co-occupied by a QTL and DGH(s). The positional candidates identified are receptor-like kinase, WIR1 homologues and several defence response genes like peroxidases, superoxide dismutase and thaumatin.

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Year:  2006        PMID: 17115126     DOI: 10.1007/s00122-006-0448-2

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


  44 in total

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Journal:  Genetics       Date:  2000-12       Impact factor: 4.562

2.  Differential gene expression in individual papilla-resistant and powdery mildew-infected barley epidermal cells.

Authors:  Torben Gjetting; Timothy L W Carver; Leif Skøt; Michael F Lyngkjaer
Journal:  Mol Plant Microbe Interact       Date:  2004-07       Impact factor: 4.171

3.  Genome-wide SNP discovery and linkage analysis in barley based on genes responsive to abiotic stress.

Authors:  Nils Rostoks; Sharon Mudie; Linda Cardle; Joanne Russell; Luke Ramsay; Allan Booth; Jan T Svensson; Steve I Wanamaker; Harkamal Walia; Edmundo M Rodriguez; Peter E Hedley; Hui Liu; Jenny Morris; Timothy J Close; David F Marshall; Robbie Waugh
Journal:  Mol Genet Genomics       Date:  2005-10-22       Impact factor: 3.291

4.  Genetic mapping and BAC assignment of EST-derived SSR markers shows non-uniform distribution of genes in the barley genome.

Authors:  R K Varshney; I Grosse; U Hähnel; R Siefken; M Prasad; N Stein; P Langridge; L Altschmied; A Graner
Journal:  Theor Appl Genet       Date:  2006-06-01       Impact factor: 5.699

5.  Construction of an RFLP map of barley.

Authors:  A Graner; A Jahoor; J Schondelmaier; H Siedler; K Pillen; G Fischbeck; G Wenzel; R G Herrmann
Journal:  Theor Appl Genet       Date:  1991-12       Impact factor: 5.699

6.  AFLP: a new technique for DNA fingerprinting.

Authors:  P Vos; R Hogers; M Bleeker; M Reijans; T van de Lee; M Hornes; A Frijters; J Pot; J Peleman; M Kuiper
Journal:  Nucleic Acids Res       Date:  1995-11-11       Impact factor: 16.971

7.  Use of locus-specific AFLP markers to construct a high-density molecular map in barley.

Authors:  X Qi; P Stam; P Lindhout
Journal:  Theor Appl Genet       Date:  1998-03       Impact factor: 5.699

8.  Transient expression of a vacuolar peroxidase increases susceptibility of epidermal barley cells to powdery mildew.

Authors:  B K Kristensen; H Ammitzbøll; S K Rasmussen; K A Nielsen
Journal:  Mol Plant Pathol       Date:  2001-11-01       Impact factor: 5.663

9.  Candidate defense genes from rice, barley, and maize and their association with qualitative and quantitative resistance in rice.

Authors:  J Ramalingam; C M Vera Cruz; K Kukreja; J M Chittoor; J L Wu; S W Lee; M Baraoidan; M L George; M B Cohen; S H Hulbert; J E Leach; H Leung
Journal:  Mol Plant Microbe Interact       Date:  2003-01       Impact factor: 4.171

10.  Cytological and molecular analysis of the Hordeum vulgare-Puccinia triticina nonhost interaction.

Authors:  Christina Neu; Beat Keller; Catherine Feuillet
Journal:  Mol Plant Microbe Interact       Date:  2003-07       Impact factor: 4.171

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  48 in total

1.  Construction of a high-density composite map and comparative mapping of segregation distortion regions in barley.

Authors:  Haobing Li; Andrzej Kilian; Meixue Zhou; Peter Wenzl; Eric Huttner; Neville Mendham; Lynne McIntyre; René E Vaillancourt
Journal:  Mol Genet Genomics       Date:  2010-08-29       Impact factor: 3.291

2.  Assessment of genetic diversity by simple sequence repeat markers among forty elite varieties in the germplasm for malting barley breeding.

Authors:  Jun-mei Wang; Jian-ming Yang; Jing-huan Zhu; Qiao-jun Jia; Yue-zhi Tao
Journal:  J Zhejiang Univ Sci B       Date:  2010-10       Impact factor: 3.066

3.  A high density barley microsatellite consensus map with 775 SSR loci.

Authors:  R K Varshney; T C Marcel; L Ramsay; J Russell; M S Röder; N Stein; R Waugh; P Langridge; R E Niks; A Graner
Journal:  Theor Appl Genet       Date:  2007-03-08       Impact factor: 5.699

4.  Structure-function analysis of the barley genome: the gene-rich region of chromosome 2HL.

Authors:  Andrew Chen; Anita Brûlé-Babel; Ute Baumann; Nicholas C Collins
Journal:  Funct Integr Genomics       Date:  2008-10-29       Impact factor: 3.410

5.  Meta-analysis of transcripts associated with race-specific resistance to stripe rust in wheat demonstrates common induction of blue copper-binding protein, heat-stress transcription factor, pathogen-induced WIR1A protein, and ent-kaurene synthase transcripts.

Authors:  Tristan E Coram; Xueling Huang; Gangming Zhan; Matthew L Settles; Xianming Chen
Journal:  Funct Integr Genomics       Date:  2009-11-24       Impact factor: 3.410

6.  The complex quantitative barley-Rhynchosporium secalis interaction: newly identified QTL may represent already known resistance genes.

Authors:  C Wagner; G Schweizer; M Krämer; A G Dehmer-Badani; F Ordon; W Friedt
Journal:  Theor Appl Genet       Date:  2008-09-20       Impact factor: 5.699

7.  Linkage mapping of putative regulator genes of barley grain development characterized by expression profiling.

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Journal:  BMC Plant Biol       Date:  2009-01-09       Impact factor: 4.215

8.  Construction of a consensus linkage map for red clover (Trifolium pratense L.).

Authors:  Sachiko Isobe; Roland Kölliker; Hiroshi Hisano; Shigemi Sasamoto; Tshyuko Wada; Irina Klimenko; Kenji Okumura; Satoshi Tabata
Journal:  BMC Plant Biol       Date:  2009-05-14       Impact factor: 4.215

9.  Development and implementation of high-throughput SNP genotyping in barley.

Authors:  Timothy J Close; Prasanna R Bhat; Stefano Lonardi; Yonghui Wu; Nils Rostoks; Luke Ramsay; Arnis Druka; Nils Stein; Jan T Svensson; Steve Wanamaker; Serdar Bozdag; Mikeal L Roose; Matthew J Moscou; Shiaoman Chao; Rajeev K Varshney; Péter Szucs; Kazuhiro Sato; Patrick M Hayes; David E Matthews; Andris Kleinhofs; Gary J Muehlbauer; Joseph DeYoung; David F Marshall; Kavitha Madishetty; Raymond D Fenton; Pascal Condamine; Andreas Graner; Robbie Waugh
Journal:  BMC Genomics       Date:  2009-12-04       Impact factor: 3.969

10.  An eQTL analysis of partial resistance to Puccinia hordei in barley.

Authors:  Xinwei Chen; Christine A Hackett; Rients E Niks; Peter E Hedley; Clare Booth; Arnis Druka; Thierry C Marcel; Anton Vels; Micha Bayer; Iain Milne; Jenny Morris; Luke Ramsay; David Marshall; Linda Cardle; Robbie Waugh
Journal:  PLoS One       Date:  2010-01-06       Impact factor: 3.240

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