Literature DB >> 15290049

Identification and mapping of AFLP markers linked to peanut (Arachis hypogaea L.) resistance to the aphid vector of groundnut rosette disease.

L Herselman1, R Thwaites, F M Kimmins, B Courtois, P J A van der Merwe, S E Seal.   

Abstract

Groundnut rosette disease is the most destructive viral disease of peanut in Africa and can cause serious yield losses under favourable conditions. The development of disease-resistant cultivars is the most effective control strategy. Resistance to the aphid vector, Aphis craccivora, was identified in the breeding line ICG 12991 and is controlled by a single recessive gene. Bulked segregant analysis (BSA) and amplified fragment length polymorphism (AFLP) analysis were employed to identify DNA markers linked to aphid resistance and for the development of a partial genetic linkage map. A F(2:3) population was developed from a cross using the aphid-resistant parent ICG 12991. Genotyping was carried out in the F2 generation and phenotyping in the F3 generation. Results were used to assign individual F2 lines as homozygous-resistant, homozygous-susceptible or segregating. A total of 308 AFLP (20 EcoRI+3/MseI+3, 144 MluI+3/MseI+3 and 144 PstI+3/MseI+3) primer combinations were used to identify markers associated with aphid resistance in the F(2:3) population. Twenty putative markers were identified, of which 12 mapped to five linkage groups covering a map distance of 139.4 cM. A single recessive gene was mapped on linkage group 1, 3.9 cM from a marker originating from the susceptible parent, that explained 76.1% of the phenotypic variation for aphid resistance. This study represents the first report on the identification of molecular markers closely linked to aphid resistance to groundnut rosette disease and the construction of the first partial genetic linkage map for cultivated peanut.

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Year:  2004        PMID: 15290049     DOI: 10.1007/s00122-004-1756-z

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


  11 in total

1.  Identification of DNA polymorphism in cultivated groundnut using random amplified polymorphic DNA (RAPD) assay.

Authors:  V Subramanian; S Gurtu; R C Nageswara Rao; S N Nigam
Journal:  Genome       Date:  2000-08       Impact factor: 2.166

2.  Development of PCR-based SNP markers for rice blast resistance genes at the Piz locus.

Authors:  K Hayashi; N Hashimoto; M Daigen; I Ashikawa
Journal:  Theor Appl Genet       Date:  2004-01-23       Impact factor: 5.699

3.  Effects of binocular deprivation on the development of clustered horizontal connections in cat striate cortex.

Authors:  E M Callaway; L C Katz
Journal:  Proc Natl Acad Sci U S A       Date:  1991-02-01       Impact factor: 11.205

4.  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

5.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

6.  Identification of RAPD, SCAR, and RFLP markers tightly linked to nematode resistance genes introgressed from Arachis cardenasii into Arachis hypogaea.

Authors:  G M Garcia; H T Stalker; E Shroeder; G Kochert
Journal:  Genome       Date:  1996-10       Impact factor: 2.166

7.  Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics.

Authors:  M A Saghai-Maroof; K M Soliman; R A Jorgensen; R W Allard
Journal:  Proc Natl Acad Sci U S A       Date:  1984-12       Impact factor: 11.205

8.  Microsatellite identification and characterization in peanut ( A. hypogaea L.).

Authors:  M E Ferguson; M D Burow; S R Schulze; P J Bramel; A H Paterson; S Kresovich; S Mitchell
Journal:  Theor Appl Genet       Date:  2003-12-11       Impact factor: 5.699

9.  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

10.  RFLP variability in peanut (Arachis hypogaea L.) cultivars and wild species.

Authors:  G Kochert; T Halward; W D Branch; C E Simpson
Journal:  Theor Appl Genet       Date:  1991-05       Impact factor: 5.699

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  16 in total

1.  A microsatellite-based, gene-rich linkage map for the AA genome of Arachis (Fabaceae).

Authors:  M C Moretzsohn; L Leoi; K Proite; P M Guimarães; S C M Leal-Bertioli; M A Gimenes; W S Martins; J F M Valls; D Grattapaglia; D J Bertioli
Journal:  Theor Appl Genet       Date:  2005-10-11       Impact factor: 5.699

2.  A QTL study on late leaf spot and rust revealed one major QTL for molecular breeding for rust resistance in groundnut (Arachis hypogaea L.).

Authors:  Y P Khedikar; M V C Gowda; C Sarvamangala; K V Patgar; H D Upadhyaya; R K Varshney
Journal:  Theor Appl Genet       Date:  2010-06-06       Impact factor: 5.699

3.  Mapping soybean aphid resistance genes in PI 567598B.

Authors:  Carmille Bales; Guorong Zhang; Menghan Liu; Clarice Mensah; Cuihua Gu; Qijian Song; David Hyten; Perry Cregan; Dechun Wang
Journal:  Theor Appl Genet       Date:  2013-05-21       Impact factor: 5.699

4.  Identification and characterization of resistance to cowpea aphid (Aphis craccivora Koch) in Medicago truncatula.

Authors:  Lars G Kamphuis; Lingling Gao; Karam B Singh
Journal:  BMC Plant Biol       Date:  2012-07-04       Impact factor: 4.215

5.  Genetic mapping and legume synteny of aphid resistance in African cowpea (Vigna unguiculata L. Walp.) grown in California.

Authors:  Bao-Lam Huynh; Jeffrey D Ehlers; Arsenio Ndeve; Steve Wanamaker; Mitchell R Lucas; Timothy J Close; Philip A Roberts
Journal:  Mol Breed       Date:  2015-01-21       Impact factor: 2.589

6.  Genomewide association studies for 50 agronomic traits in peanut using the 'reference set' comprising 300 genotypes from 48 countries of the semi-arid tropics of the world.

Authors:  Manish K Pandey; Hari D Upadhyaya; Abhishek Rathore; Vincent Vadez; M S Sheshshayee; Manda Sriswathi; Mansee Govil; Ashish Kumar; M V C Gowda; Shivali Sharma; Falalou Hamidou; V Anil Kumar; Pawan Khera; Ramesh S Bhat; Aamir W Khan; Sube Singh; Hongjie Li; Emmanuel Monyo; H L Nadaf; Ganapati Mukri; Scott A Jackson; Baozhu Guo; Xuanqiang Liang; Rajeev K Varshney
Journal:  PLoS One       Date:  2014-08-20       Impact factor: 3.240

7.  Identification of candidate genome regions controlling disease resistance in Arachis.

Authors:  Soraya C M Leal-Bertioli; Ana Carolina V F José; Dione M T Alves-Freitas; Márcio C Moretzsohn; Patrícia M Guimarães; Stephan Nielen; Bruna S Vidigal; Rinaldo W Pereira; Jodie Pike; Alessandra P Fávero; Martin Parniske; Rajeev K Varshney; David J Bertioli
Journal:  BMC Plant Biol       Date:  2009-08-22       Impact factor: 4.215

8.  Mapping quantitative trait loci (QTLs) and estimating the epistasis controlling stem rot resistance in cultivated peanut (Arachis hypogaea).

Authors:  Ziliang Luo; Renjie Cui; Carolina Chavarro; Yu-Chien Tseng; Hai Zhou; Ze Peng; Ye Chu; Xiping Yang; Yolanda Lopez; Barry Tillman; Nicholas Dufault; Timothy Brenneman; Thomas G Isleib; Corley Holbrook; Peggy Ozias-Akins; Jianping Wang
Journal:  Theor Appl Genet       Date:  2020-01-23       Impact factor: 5.699

9.  Groundnut improvement: use of genetic and genomic tools.

Authors:  Pasupuleti Janila; S N Nigam; Manish K Pandey; P Nagesh; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2013-02-25       Impact factor: 5.753

10.  Construction of a SNP-based genetic linkage map in cultivated peanut based on large scale marker development using next-generation double-digest restriction-site-associated DNA sequencing (ddRADseq).

Authors:  Xiaojing Zhou; Youlin Xia; Xiaoping Ren; Yulin Chen; Li Huang; Shunmou Huang; Boshou Liao; Yong Lei; Liyin Yan; Huifang Jiang
Journal:  BMC Genomics       Date:  2014-05-09       Impact factor: 3.969

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