Literature DB >> 26704418

A novel Phakopsora pachyrhizi resistance allele (Rpp) contributed by PI 567068A.

Zachary R King1, Donna K Harris1, Kerry F Pedley2, Qijian Song3, Dechun Wang4, Zixiang Wen4, James W Buck5, Zenglu Li6, H Roger Boerma1.   

Abstract

KEY MESSAGE: The Rpp6 locus of PI 567102B was mapped from 5,953,237 to 5,998,461 bp (chromosome 18); and a novel allele at the Rpp6 locus or tightly linked gene Rpp[PI567068A] of PI 567068A was mapped from 5,998,461 to 6,160,481 bp. Soybean rust (SBR), caused by the obligate, fungal pathogen Phakopsora pachyrhizi is an economic threat to soybean production, especially in the Americas. Host plant resistance is an important management strategy for SBR. The most recently described resistance to P. pachyrhizi (Rpp) gene is Rpp6 contributed by PI 567102B. Rpp6 was previously mapped to an interval of over four million base pairs on chromosome 18. PI 567068A was recently demonstrated to possess a resistance gene near the Rpp6 locus, yet PI 567068A gave a differential isolate reaction to several international isolates of P. pachyrhizi. The goals of this research were to fine map the Rpp6 locus of PI 567102B and PI 567068A and determine whether or not PI 567068A harbors a novel Rpp6 allele or another allele at a tightly linked resistance locus. Linkage mapping in this study mapped Rpp6 from 5,953,237 to 5,998,461 bp (LOD score of 58.3) and the resistance from PI 567068A from 5,998,461 to 6,160,481 bp (LOD score of 4.4) (Wm82.a1 genome sequence). QTL peaks were 139,033 bp apart from one another as determined by the most significant SNPs in QTL mapping. The results of haplotype analysis demonstrated that PI 567102B and PI 567068A share the same haplotype in the resistance locus containing both Rpp alleles, which was designated as the Rpp6/Rpp[PI567068A] haplotype. The Rpp6/Rpp[PI567068A] haplotype identified in this study can be used as a tool to rapidly screen other genotypes that possess a Rpp gene(s) and detect resistance at the Rpp6 locus in diverse germplasm.

Entities:  

Mesh:

Year:  2015        PMID: 26704418     DOI: 10.1007/s00122-015-2645-3

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


  11 in total

1.  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

2.  Identification of a new soybean rust resistance gene in PI 567102B.

Authors:  Shuxian Li; James R Smith; Jeffery D Ray; Reid D Frederick
Journal:  Theor Appl Genet       Date:  2012-02-29       Impact factor: 5.699

Review 3.  Phakopsora pachyrhizi, the causal agent of Asian soybean rust.

Authors:  Katharina Goellner; Marco Loehrer; Caspar Langenbach; Uwe Conrath; Eckhard Koch; Ulrich Schaffrath
Journal:  Mol Plant Pathol       Date:  2010-03       Impact factor: 5.663

4.  Fine mapping of the Asian soybean rust resistance gene Rpp2 from soybean PI 230970.

Authors:  Neil Yu; Myungsik Kim; Zachary R King; Donna K Harris; James W Buck; Zenglu Li; Brian W Diers
Journal:  Theor Appl Genet       Date:  2014-12-12       Impact factor: 5.699

5.  Identification of a second Asian soybean rust resistance gene in Hyuuga soybean.

Authors:  Mandy D Kendrick; Donna K Harris; Bo-Keun Ha; David L Hyten; Perry B Cregan; Reid D Frederick; H Roger Boerma; Kerry F Pedley
Journal:  Phytopathology       Date:  2011-05       Impact factor: 4.025

6.  Fine mapping and identification of candidate genes controlling the resistance to southern root-knot nematode in PI 96354.

Authors:  Anh-Tung Pham; Kaitlin McNally; Hussein Abdel-Haleem; H Roger Boerma; Zenglu Li
Journal:  Theor Appl Genet       Date:  2013-04-09       Impact factor: 5.699

7.  Identification and analyses of candidate genes for rpp4-mediated resistance to Asian soybean rust in soybean.

Authors:  Jenelle D F Meyer; Danielle C G Silva; Chunling Yang; Kerry F Pedley; Chunquan Zhang; Martijn van de Mortel; John H Hill; Randy C Shoemaker; Ricardo V Abdelnoor; Steven A Whitham; Michelle A Graham
Journal:  Plant Physiol       Date:  2009-02-27       Impact factor: 8.340

8.  SNP assay to detect the 'Hyuuga' red-brown lesion resistance gene for Asian soybean rust.

Authors:  Maria J Monteros; Bo-Keun Ha; Daniel V Phillips; H Roger Boerma
Journal:  Theor Appl Genet       Date:  2010-06-08       Impact factor: 5.699

9.  Flapjack--graphical genotype visualization.

Authors:  Iain Milne; Paul Shaw; Gordon Stephen; Micha Bayer; Linda Cardle; William T B Thomas; Andrew J Flavell; David Marshall
Journal:  Bioinformatics       Date:  2010-10-18       Impact factor: 6.937

10.  Development and evaluation of SoySNP50K, a high-density genotyping array for soybean.

Authors:  Qijian Song; David L Hyten; Gaofeng Jia; Charles V Quigley; Edward W Fickus; Randall L Nelson; Perry B Cregan
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

View more
  3 in total

Review 1.  Breeding for disease resistance in soybean: a global perspective.

Authors:  Feng Lin; Sushil Satish Chhapekar; Caio Canella Vieira; Marcos Paulo Da Silva; Alejandro Rojas; Dongho Lee; Nianxi Liu; Esteban Mariano Pardo; Yi-Chen Lee; Zhimin Dong; Jose Baldin Pinheiro; Leonardo Daniel Ploper; John Rupe; Pengyin Chen; Dechun Wang; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2022-07-05       Impact factor: 5.699

2.  Identification and characterization of a new soybean promoter induced by Phakopsora pachyrhizi, the causal agent of Asian soybean rust.

Authors:  L Cabre; S Peyrard; C Sirven; L Gilles; B Pelissier; S Ducerf; N Poussereau
Journal:  BMC Biotechnol       Date:  2021-03-25       Impact factor: 2.563

3.  Discovery of a seventh Rpp soybean rust resistance locus in soybean accession PI 605823.

Authors:  Silas P Childs; Zachary R King; David R Walker; Donna K Harris; Kerry F Pedley; James W Buck; H Roger Boerma; Zenglu Li
Journal:  Theor Appl Genet       Date:  2017-10-04       Impact factor: 5.699

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.