Literature DB >> 16328235

Detection of two quantitative trait loci for resistance to ascochyta blight in an intra-specific cross of chickpea (Cicer arietinum L.): development of SCAR markers associated with resistance.

M Iruela1, J Rubio, F Barro, J I Cubero, T Millán, J Gil.   

Abstract

Two quantitative trait loci (QTLs), (QTL(AR1) and QTL(AR2)) associated with resistance to ascochyta blight, caused by Ascochyta rabiei, have been identified in a recombinant inbred line population derived from a cross of kabulixdesi chickpea. The population was evaluated in two cropping seasons under field conditions and the QTLs were found to be located in two different linkage groups (LG4a and LG4b). LG4b was saturated with RAPD markers and four of them associated with resistance were sequenced to give sequence characterized amplified regions (SCARs) that segregated with QTL(AR2). This QTL explained 21% of the total phenotypic variation. However, QTL(AR1), located in LG4a, explained around 34% of the total phenotypic variation in reaction to ascochyta blight when scored in the second cropping season. This LG4a region only includes a few markers, the flower colour locus (B/b), STMS GAA47, a RAPD marker and an inter-simple-sequence-repeat and corresponds with a previously reported QTL. From the four SCARs tagging QTL(AR2), SCAR (SCY17(590)) was co-dominant, and the other three were dominant. All SCARs segregated in a 1:1 (presence:absence) ratio and the scoring co-segregated with their respective RAPD markers. QTL(AR2) on LG4b was mapped in a highly saturated genomic region covering a genetic distance of 0.8 cM with a cluster of nine markers (three SCARs, two sequence-tagged microsatellite sites (STMS) and four RAPDs). Two of the four SCARs showed significant alignment with genes or proteins related to disease resistance in other species and one of them (SCK13(603)) was sited in the highly saturated region linked to QTL(AR2). STMS TA72 and TA146 located in LG4b were described in previous maps where QTL for blight resistance were also localized in both inter and intraspecific crosses. These findings may improve the precision of molecular breeding for QTL(AR2) as they will allow the choice of as much polymorphism as possible in any population and could be the starting point for finding a candidate resistant gene for ascochyta blight resistance in chickpea.

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Year:  2005        PMID: 16328235     DOI: 10.1007/s00122-005-0126-9

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


  19 in total

1.  Construction of BAC and BIBAC libraries and their applications for generation of SSR markers for genome analysis of chickpea, Cicer arietinum L.

Authors:  J Lichtenzveig; C Scheuring; J Dodge; S Abbo; H-B Zhang
Journal:  Theor Appl Genet       Date:  2004-12-11       Impact factor: 5.699

2.  DNA polymorphisms amplified by arbitrary primers are useful as genetic markers.

Authors:  J G Williams; A R Kubelik; K J Livak; J A Rafalski; S V Tingey
Journal:  Nucleic Acids Res       Date:  1990-11-25       Impact factor: 16.971

3.  Characterization and mapping of sequence-tagged microsatellite sites in the chickpea (Cicer arietinum L.) genome.

Authors:  P Winter; T Pfaff; S M Udupa; B Hüttel; P C Sharma; S Sahi; R Arreguin-Espinoza; F Weigand; F J Muehlbauer; G Kahl
Journal:  Mol Gen Genet       Date:  1999-08

4.  Structural analysis of Arabidopsis thaliana chromosome 3. I. Sequence features of the regions of 4,504,864 bp covered by sixty P1 and TAC clones.

Authors:  S Sato; Y Nakamura; T Kaneko; T Katoh; E Asamizu; S Tabata
Journal:  DNA Res       Date:  2000-04-28       Impact factor: 4.458

5.  Integration of sequence tagged microsatellite sites to the chickpea genetic map.

Authors:  M. Tekeoglu; N. Rajesh; J. Muehlbauer
Journal:  Theor Appl Genet       Date:  2002-07-02       Impact factor: 5.699

6.  Construction of a HindIII Bacterial Artificial Chromosome library and its use in identification of clones associated with disease resistance in chickpea.

Authors:  P N Rajesh; C Coyne; K Meksem; K Dev Sharma; V Gupta; F J Muehlbauer
Journal:  Theor Appl Genet       Date:  2003-10-16       Impact factor: 5.699

7.  Linkage among isozyme, RFLP and RAPD markers in Vicia faba.

Authors:  A M Torres; N F Weeden; A Martín
Journal:  Theor Appl Genet       Date:  1993-02       Impact factor: 5.699

8.  Preliminary investigation of QTLs associated with seedling resistance to ascochyta blight from Cicer echinospermum, a wild relative of chickpea.

Authors:  B C Y Collard; E C K Pang; P K Ades; P W J Taylor
Journal:  Theor Appl Genet       Date:  2003-05-24       Impact factor: 5.699

9.  Improving chickpea yield by incorporating resistance to ascochyta blight.

Authors:  K B Singh; M V Reddy
Journal:  Theor Appl Genet       Date:  1996-04       Impact factor: 5.699

10.  Structural analysis of a Lotus japonicus genome. V. Sequence features and mapping of sixty-four TAC clones which cover the 6.4 mb regions of the genome.

Authors:  Tomohiko Kato; Shusei Sato; Yasukazu Nakamura; Takakazu Kaneko; Erika Asamizu; Satoshi Tabata
Journal:  DNA Res       Date:  2003-12-31       Impact factor: 4.458

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  23 in total

1.  Differential transcript accumulation in chickpea during early phases of compatible interaction with a necrotrophic fungus Ascochyta rabiei.

Authors:  Purnima Jaiswal; Jyothi Reddy Cheruku; Kamal Kumar; Saurabh Yadav; Archana Singh; Pragati Kumari; Sunil Chandra Dube; Kailash C Upadhyaya; Praveen Kumar Verma
Journal:  Mol Biol Rep       Date:  2011-09-29       Impact factor: 2.316

2.  RAPD-SCAR marker and genetic relationship analysis of three Demodex species (Acari: Demodicidae).

Authors:  Ya-E Zhao; Li-Ping Wu
Journal:  Parasitol Res       Date:  2011-12-29       Impact factor: 2.289

3.  Defence gene expression profiling to Ascochyta rabiei aggressiveness in chickpea.

Authors:  Audrey E Leo; Celeste C Linde; Rebecca Ford
Journal:  Theor Appl Genet       Date:  2016-04-15       Impact factor: 5.699

4.  Transcription factor profiling leading to the identification of putative transcription factors involved in the Medicago truncatula-Uromyces striatus interaction.

Authors:  E Madrid; J Gil; D Rubiales; F Krajinski; A Schlereth; T Millán
Journal:  Theor Appl Genet       Date:  2010-06-27       Impact factor: 5.699

5.  Characterization and genetic analysis of an EIN4-like sequence (CaETR-1) located in QTL(AR1) implicated in ascochyta blight resistance in chickpea.

Authors:  E Madrid; P N Rajesh; J Rubio; J Gil; T Millán; W Chen
Journal:  Plant Cell Rep       Date:  2012-01-12       Impact factor: 4.570

6.  The marker SCK13(603) associated with resistance to ascochyta blight in chickpea is located in a region of a putative retrotransposon.

Authors:  Marta Iruela; Fernando Pistón; José Ignacio Cubero; Teresa Millán; Francisco Barro; Juan Gil
Journal:  Plant Cell Rep       Date:  2008-09-25       Impact factor: 4.570

7.  Genetic analyses and conservation of QTL for ascochyta blight resistance in chickpea (Cicer arietinum L.).

Authors:  Y Anbessa; Bunyamin Taran; T D Warkentin; A Tullu; A Vandenberg
Journal:  Theor Appl Genet       Date:  2009-06-11       Impact factor: 5.699

8.  Multi-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arietinum L.).

Authors:  A Hamwieh; M Imtiaz; R S Malhotra
Journal:  Theor Appl Genet       Date:  2013-01-03       Impact factor: 5.699

9.  Integration of new CAPS and dCAPS-RGA markers into a composite chickpea genetic map and their association with disease resistance.

Authors:  Carmen Palomino; M D Fernández-Romero; J Rubio; A Torres; M T Moreno; T Millán
Journal:  Theor Appl Genet       Date:  2008-11-26       Impact factor: 5.699

Review 10.  Current advances in chickpea genomics: applications and future perspectives.

Authors:  Uday Chand Jha
Journal:  Plant Cell Rep       Date:  2018-06-02       Impact factor: 4.570

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