Literature DB >> 8514141

Toward an integrated linkage map of common bean. III. Mapping genetic factors controlling host-bacteria interactions.

R O Nodari1, S M Tsai, P Guzmán, R L Gilbertson, P Gepts.   

Abstract

Restriction fragment length polymorphism (RFLP)-based genetic linkage maps allow us to dissect the genetic control of quantitative traits (QT) by locating individual quantitative trait loci (QTLs) on the linkage map and determining their type of gene action and the magnitude of their contribution to the phenotype of the QT. We have performed such an analysis for two traits in common bean, involving interactions between the plant host and bacteria, namely Rhizobium nodule number (NN) and resistance to common bacterial blight (CBB) caused by Xanthomonas campestris pv. phaseoli. Analyses were conducted in the progeny of a cross between BAT93 (fewer nodules; moderately resistant to CBB) and Jalo EEP558 (more nodules; susceptible to CBB). An RFLP-based linkage map for common bean based on 152 markers had previously been derived in the F2 of this cross. Seventy F2-derived F3 families were inoculated in separate greenhouse experiments with Rhizobium tropici strain UMR1899 or X. c. pv. phaseoli isolate isolate W18. Regression and interval mapping analyses were used to identify genomic regions involved in the genetic control of these traits. These two methods identified the same genomic regions for each trait, with a few exceptions. For each trait, at least four putative QTLs were identified, which accounted for approximately 50% and 75% of the phenotypic variation in NN and CBB resistance, respectively. A chromosome region on linkage group D7 carried factor(s) influencing both traits. In all other cases, the putative QTLs affecting NN and CBB were located in different linkage groups or in the same linkage group, but far apart (more than 50 cM). Both BAT93 and Jalo EEP558 contributed alleles associated with higher NN, whereas CBB resistance was always associated with BAT93 alleles. Further investigations are needed to determine whether the QTLs for NN and CBB on linkage group D7 represent linked genes or the same gene with pleiotropic effects. Identification of the QTLs raises the possibility of initiating map-based cloning and marker-assisted selection for these traits.

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Year:  1993        PMID: 8514141      PMCID: PMC1205436     

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


  13 in total

1.  Restriction fragment length polymorphisms associated with water use efficiency in tomato.

Authors:  B Martin; J Nienhuis; G King; A Schaefer
Journal:  Science       Date:  1989-03-31       Impact factor: 47.728

2.  RFLP mapping in soybean: association between marker loci and variation in quantitative traits.

Authors:  P Keim; B W Diers; T C Olson; R C Shoemaker
Journal:  Genetics       Date:  1990-11       Impact factor: 4.562

Review 3.  Phenolic compounds as regulators of gene expression in plant-microbe relations.

Authors:  N K Peters; D P Verma
Journal:  Mol Plant Microbe Interact       Date:  1990 Jan-Feb       Impact factor: 4.171

4.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

5.  Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action.

Authors:  M D Edwards; C W Stuber; J F Wendel
Journal:  Genetics       Date:  1987-05       Impact factor: 4.562

6.  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

7.  Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

Authors:  A H Paterson; S Damon; J D Hewitt; D Zamir; H D Rabinowitch; S E Lincoln; E S Lander; S D Tanksley
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562

8.  Isoflavonoid-inducible resistance to the phytoalexin glyceollin in soybean rhizobia.

Authors:  M Parniske; B Ahlborn; D Werner
Journal:  J Bacteriol       Date:  1991-06       Impact factor: 3.490

9.  Anthocyanidins and Flavonols, Major nod Gene Inducers from Seeds of a Black-Seeded Common Bean (Phaseolus vulgaris L.).

Authors:  M Hungria; C M Joseph; D A Phillips
Journal:  Plant Physiol       Date:  1991-10       Impact factor: 8.340

10.  Rhizobium nod Gene Inducers Exuded Naturally from Roots of Common Bean (Phaseolus vulgaris L.).

Authors:  M Hungria; C M Joseph; D A Phillips
Journal:  Plant Physiol       Date:  1991-10       Impact factor: 8.340

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  30 in total

1.  Construction and characterization of a common bean bacterial artificial chromosome library.

Authors:  W Vanhouten; S MacKenzie
Journal:  Plant Mol Biol       Date:  1999-08       Impact factor: 4.076

2.  Identification of metabolites related to mechanisms of resistance in barley against Fusarium graminearum, based on mass spectrometry.

Authors:  Venkatesh Bollina; Ajjamada C Kushalappa; Thin M Choo; Yves Dion; Sylvie Rioux
Journal:  Plant Mol Biol       Date:  2011-08-10       Impact factor: 4.076

3.  A genome-wide analysis of differentiation between wild and domesticated Phaseolus vulgaris from Mesoamerica.

Authors:  R Papa; J Acosta; A Delgado-Salinas; P Gepts
Journal:  Theor Appl Genet       Date:  2005-10-11       Impact factor: 5.699

4.  A genetic linkage map of Phaseolus vulgaris L. and localization of genes for specific resistance to six races of anthracnose (Colletotrichum lindemuthianum).

Authors:  Cristina Rodríguez-Suárez; Belén Méndez-Vigo; Astrid Pañeda; Juan José Ferreira; Ramón Giraldez
Journal:  Theor Appl Genet       Date:  2006-12-22       Impact factor: 5.699

5.  Co-segregation analysis and mapping of the anthracnose Co-10 and angular leaf spot Phg-ON disease-resistance genes in the common bean cultivar Ouro Negro.

Authors:  M C Gonçalves-Vidigal; A S Cruz; G F Lacanallo; P S Vidigal Filho; L L Sousa; C M N A Pacheco; P McClean; P Gepts; M A Pastor-Corrales
Journal:  Theor Appl Genet       Date:  2013-06-13       Impact factor: 5.699

6.  Mapping quantitative trait loci for seedling vigor in rice using RFLPs.

Authors:  E D Redoña; D J Mackill
Journal:  Theor Appl Genet       Date:  1996-03       Impact factor: 5.699

7.  Genetic dissection of nitrogen nutrition in pea through a QTL approach of root, nodule, and shoot variability.

Authors:  Virginie Bourion; Syed Masood Hasan Rizvi; Sarah Fournier; Henri de Larambergue; Fabien Galmiche; Pascal Marget; Gérard Duc; Judith Burstin
Journal:  Theor Appl Genet       Date:  2010-02-24       Impact factor: 5.699

8.  Genome-wide association analysis of symbiotic nitrogen fixation in common bean.

Authors:  Kelvin Kamfwa; Karen A Cichy; James D Kelly
Journal:  Theor Appl Genet       Date:  2015-07-02       Impact factor: 5.699

9.  Synteny mapping between common bean and soybean reveals extensive blocks of shared loci.

Authors:  Phillip E McClean; Sujan Mamidi; Melody McConnell; Shireen Chikara; Rian Lee
Journal:  BMC Genomics       Date:  2010-03-18       Impact factor: 3.969

10.  Extension of the core map of common bean with EST-SSR, RGA, AFLP, and putative functional markers.

Authors:  Luiz Ricardo Hanai; Luciane Santini; Luis Eduardo Aranha Camargo; Maria Helena Pelegrinelli Fungaro; Paul Gepts; Siu Mui Tsai; Maria Lucia Carneiro Vieira
Journal:  Mol Breed       Date:  2009-07-03       Impact factor: 2.589

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