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It is not clear whether Plant and Soil is the original source of publication of this article. It is recommended that this article is cited as: Plant and Soil breeding for one BNF trait affects the expression of —, During the past decade, several attempts have been A.

One of the main constraints for BNF im- chosen because of their divergent evolutionary ori- provement is that quantitatively inherited traits such as gins and contrasting interactions with pathogens and nodulation are greatly influenced by the environment Rhizobium.

Two main options S Temple at the Centro International de Agricultura for improving N2 fixation are: management of the Tropical CIAT, Cali, Colombia and derived from a legume to maximise growth and minimise stresses double cross involving four Middle American geno- such as mineral nitrogen shortage Tsai et al. The selection process could be greatly en- BAT is resistant to bean common mosaic virus hanced by the use of genetic markers, such as restric- BCMV , rust Uromyces phaseoli , common bacter- tion fragment length polymorphisms RFLP , linked ial blight Xanthomonas campestris bv.

RFLPs could be useful as susceptible to angular leaf spot Phaseoisariopsis an- markers to determine genetic relationships, to identify gularis. Nodule number was ana- Paterson et al. First, it et al. The parental lines were chosen from provides information on the genetic control of traits, several programmes for morpho-agronomic traits in- especially those with complex inheritance, and on cluding BNF. The N experiment was carried out in the their linkage relationships to other traits Lander and greenhouse and consisted of a completely randomised Botstein, Molecular markers can also be used design with four replicates with two plants per pot.

Identification of genetic loci affecting Romero et al. Rhizobia nodules formed NN and their possible associations were grown in yeast extract mannitol media Vin- with other QTLs involved in responses to the com- cent, The surface of each jar campestris bv. NN data were collected optimum 0. Correlation coefficients between NN as inoculum source. Data for NN were also plied with 8 mM N, with four replicates per family. After 32 days, A. For the high N test, only NN Analyses for NN Figure 1 produced three ma- data were collected because the plants showed uniform jor genotypic groupings: high — nodules per development.

All data are based on four replicates per plant — Puebla through Jalo EEP; medium treatment with two plants per replicate. One previous 45— nodules per plant — BAT through Mexico- experiment was carried out to determine the inhibitory ; and low 8 and 0 nodules per plant — G levels of N on nodulation. Left: Effects of host plant genotype on root nodulation in common bean cultivars inoculated with R.

Table 1. Actual NN data ranged from 58 to nodules per plant in the F3 families Table 2. Effects of high mineral N. The 56 nodules per plant in the F1 plants un- der high N suggests heterosis. As in the low-N tests, several F3 families a total of 14 exhibited transgres- sive segregation for NN, varying from 1 to 97 nodules.

A tendency for assymetry was observed in the F3 - generation distribution curve. The coefficient of variation of Under low N, loci located in four regions of three different linkage groups D1, D3 and D7 of Genotypic effects on root nodule number the bean genome presented a positive effect on NN Effects of low mineral N. An analysis of variance Table 4, Figure 3.

In D3, two considering the type of trait studied. Because of the loci D and D covered 0. Genetic linkage groups in common bean with codes indicating locations of QTLs in this study. By close to marker D D7 linkage group , close to the regression analysis, the contribution of these regions gene Phs 2 cm apart. Georges, M. Microsatellite mapping of a gene affecting horn development in Bos taurus.

Keim, P. RFLP mapping in soybean: association between marker loci and variation in quantitative traits. Genetics , — Edwards, M. Molecular-marker-facilitated investigations of quantitative-trait loci in maize. Numbers, genomic distribution and types of gene action. Beckmann, J. Detection of linkage between marker loci and loci affecting quantitative traits in crosses between segregating populations.

Luo, Z. Maximum likelihood estimation of linkage between a marker gene and a quantitative trait locus. Heredity 63 , — PubMed Google Scholar. Lander, E. Genetics , — ; erratum , One of the key papers on QTL mapping that used intervals of molecular markers.

Knapp, S. Mapping quantitative trait loci using molecular marker linkage maps. Carbonell, E. Interval mapping in the analysis of nonadditive quantitative trait loci. Biometrics 48 , — Jansen, R. A general mixture model for mapping quantitative trait loci by using molecular markers. One of many influential publications by Ritsert Jansen detailing the use of general mixture models for QTL mapping. Knott, S. Aspects of maximum likelihood methods for the mapping of quantitative trait loci in line crosses.

Lincoln, S. The first technical report detailing QTL-mapping software for interval mapping using the Lander and Botstein approach see reference Darvasi, A. On the use of the moments method of estimation to obtain approximate maximum likelihood estimates of linkage between a genetic marker and a quantitative locus. Heredity 68 , 43—46 Doerge, R. Zeng, Z. Theoretical basis of precision mapping of quantitative trait loci.

USA 90 , — This paper details the theoretical development of composite interval mapping. Cooper, M. Relationships among analytical methods used to study genotypic variation and genotype-by-environmental interaction in plant breeding multi-environment experiments.

Dupuis, J. Kearsey, M. QTL analysis: a simple 'marker—regression' approach. Precision mapping of quantitative trait loci. Companion paper to Zeng's reference 24 theoretical development of composite interval mapping. Xu, S. Mixed model analysis of quantitative trait loci. USA 97 , — Interval mapping of multiple quantitative trait loci. High resolution of quantitative traits into multiple loci via interval mapping. Jiang, C. Multiple trait analysis of genetic mapping for quantitative trait loci.

Kao, C. Multiple interval mapping for quantitative trait loci. Ronin, Y. Linkage between loci of quantitative traits and marker loci: multi-trait analysis with a single marker. Korol, A. Interval mapping of quantitative trait loci employing correlated trait complexes. Multi-interval mapping of correlated trait complexes. Heredity 80 , — Frary, A.

A quantitative trait locus key to the evolution of tomato fruit size. Science , 85—88 The Chipping Forecast. Ewing, R. Large-scale statistical analyses of rice ESTs reveal correlated patterns of gene expression. Genome Res. Kim, S. A gene expression map for Caenorhabditis elegans. Iyer, V. The transcriptional program in the response of human fibrolasts to serum. Science , 83—87 Perou, C. Distinctive gene expression patterns in human mammary epithelial cells and breast cancers. USA 96 , — Zhu, H.

Global analysis of protein activities using proteome chips. Thiellement, H. Proteomics for genetic and physiological studies in plants. Electrophoresis 20 , — Tanksley, S. Mapping polygenes. Statistical issues in the search for genes affecting quantitative traits in experimental populations.

Detailed review of the statistical issues involved in QTL mapping. Lynch, M. Liu, B. Quackenbush, J. Computational analysis of microarray data. Nature Rev. Schadt, E. Enhancing candidate gene detection via experimental genome annotation and treating transcript abundance as quantitative traits. Pezcoller Found.

Genetical genomics: the added value from segregation. Trends Genet. Model selection for quantitative trait locus analysis in polyploids. Xie, C. Mapping quantitative trait loci in tetraploid populations. Mackay, T. Quantitative trait loci in Drosophila. Large upward bias in estimation of locus-specific effects from genomewide scans. Neter, J. Detailed reference text on the use of linear models in applied regression. Sourdille, P. Linkage between RFLP markers and genes affecting kernel hardness in wheat.

Timmerman-Vaughan, G. Linkage mapping of quantitative trait loci controlling seed weight in pea Pisum sativum L. Woodfield, A microsatellite map of white clover.

Theor Appl Genet — Basten, C. Zeng, Zmap-a QTL cartographer. In: J. Smith, B. Benkel, W. Chesnais, J. Gibson, B. Burnside Eds. Weir, Z. QTL Cartographer. Beattie, A. Larsen, T. Pauls, Mapping quantitative trait loci for a common bean Phaseolus vulgaris L. Beavis, W. In: A. Paterson Ed. Beckmann, J. Soller, Restriction fragment length polymorphisms in plant genetic improvement. Bernacchi, D. Beck-Bunn, Y. Eshed, S. Inai, J. Lopez, V. Petiard, H. Sayama, J. Uhlig, D. Tanksley, Advanced backcross QTL analysis of tomato.

Evaluation of near-isogenic lines carrying single-donor introgressions for desirable wild QTL-alleles derived from Lycopersicon hirsutum and L-pimpinellifolium.

Blair, M. Garris, A. Iyer, B. Chapman, S. McCouch, High resolution genetic mapping and candidate gene identification at the xa5 locus for bacterial blight resistance in rice Oryza sativa L. Theor Appl Genet 62— Bohn, M. Groh, M. Khairallah, D. Hoisington, H. Melchinger, Re-evaluation of the prospects of marker-assisted selection for improving insect resistance against Diatraea spp.

Brondani, C. Hideo, N. Rangel, T. Cristina, O. Borba, R. Brondani, Transferability of microsatellite and sequence tagged site markers in Oryza species.

Hereditas — Article PubMed Google Scholar. Cakir, M. Gupta, G. Platz, G. Ablett, R. Loughman, L. Emebiri D. Poulsen, C. Li, R. Lance, N. Galwey, M. Appels, Mapping and validation of the genes for resistance to Pyrenophora teres f.

Campbell, A. Daggard, F. Bekes, A. Pedler, M. Cato, S. Gardner, J. Richardson, Chalmers, K. Campbell, J. Kretschmer, A. Karakousis, P. Henschke, S. Pierens, N. Harker, M. Pallotta, G. Cornish, M. Shariflou, L. Rampling, A. McLauchlan, G.

Daggard, P. Sharp, T. Holton, M. Sutherland, R. Langridge, Construction of three linkage maps in bread wheat, Triticum aestivum. Aust J Ag Res — Chunwongse, J. Doganlar, C. Crossman, J. High-resolution genetic map the Lv resistance locus in tomato. Churchill, G. Doerge, Empirical threshold values for quantitative trait mapping. Genetics — Collard, B. Taylor, Selection of wild Cicer accessions for the generation of mapping populations segregating for resistance to ascochyta blight.

Euphytica 1—9. Collins, H. Panozzo, S. Logue, S. Barr, Mapping and validation of chromosome regions associated with high malt extract in barley Hordeum vulgare L. Danesh, D. Aarons, G. Young, Genetic dissection of oligogenic resistance to bacterial wilt in tomato. Mol Plant—Microbe Interact 7: — Darvasi, A. Weinreb, V. Minke, J. Davierwala, A. Chowdari, S. Kumar, A. Reddy, P. Gupta, Use of three different marker systems to estimate genetic diversity of Indian elite rice varieties.

Genetica — Doerge, R. Mapping and analysis of quantitative trait loci in experimental populations. Nat Rev Genet 3: 43— Donini, P.

Stephenson, G. Koebner, The potential of microsatellites for high throughput genetic diversity assessment in wheat and barley. Genet Resour Crop Evol — Dreher, K. Khairallah, J. Morris, Mol Breed — Eagles, H. Bariana, F. Ogbonnaya, G. Rebetzke, G. Hollamby, R. Henry, P. Carter, Implementation of markers in Australian wheat breeding. Ellis, M. Spielmeyer, K. Gale, G. Richards, Faris, J.

Gill, Saturation mapping of a gene-rich recombination hot spot region in wheat. Fasoula, V. Harris, M. Bailey, D. Boerma, Identification, mapping, and confirmation of a soybean gene for bud blight resistance. Crop Sci — Flandez-Galvez, H. Ades, R. Ford, E. Taylor, a. QTL analysis for ascochyta blight resistance in an intraspecific population of chickpea Cicer arietinum L.

Taylor, b. An intraspecific linkage map of the chickpea Cicer arietinum L. Theor Appl Genet — Foolad, M. Jones, Mapping salt-tolerance genes in tomato Lycopersicon esculentum using trait-based marker analysis. Ford, R. Genetics of resistance to ascochyta blight Ascochyta lentis of lentil and the identification of closely linked RAPD markers. Theor Appl Genet 93— Forster, J. Jones, R. Kolliker, M. Drayton, J. Dumsday, M. Dupal, K.

Guthridge, N. Mahoney, E. Smith, Development and implementation of molecular markers for crop improvement. Spangenberg ed. Fregene, M. Okogbenin, C.

Mba, F. Angel, M. Suarez, G. Janneth, P. Chavarriaga, W. Roca, M. Tohme, Genome mapping in cassava improvement: Challenges, achievements and opportunities. Euphytica — Frisch, M. Comparison of selection strategies for marker-assisted backcrossing of a gene.

J Hered 86— Gale, M. Devos, Plant comparative genetics after 10 years. Science — Gardiner, J. Coe, S. Melia-Hancock, D. Chao, Genetics — Gebhardt, C. Valkonen, Organization of genes controlling disease resistance in the potato genome.

Annu Rev Phytopathol 79— George, M. Prasanna, R. Rathore, T. Setty, F. Kasim, M. Azrai, S. Vasal, O. Balla, D. Hautea, A. Canama, E. Regalado, M. Vargas, M. Hoisington, Identification of QTLs conferring resistance to downy mildews of maize in Asia. Giovannoni, J. Wing, M. Isolation of molecular markers from specific chromosomal intervals using DNA pools from existing mapping populations.

Nucleic Acid Res — Glover, K. Wang, P. Arelli, S. Carlson, S. Diers, Near isogenic lines confirm a soybean cyst nematode resistance gene from PI on linkage group J. Gu, W.

Weeden, J. Wallace, Large-scale, cost-effective screening of PCR products in marker-assisted selection applications. Gupta, P. Varshney, P. Ramesh, Molecular markers and their applications in wheat breeding. Prasad, Single nucleotide polymorphisms: A new paradigm for molecular marker technology and DNA polymorphism detection with emphasis on their use in plants.

Curr Sci — Hackett, C. Statistical methods for QTL mapping in cereals. Plant Mol Biol — Haley, C. Andersson, Linkage mapping of quantitative trait loci in plants and animals, pp. In: P. Dear Ed. Han, F. Kleinhofs, S. Ullrich, A. Kilian, M. Sasaki, Synteny with rice: Analysis of barley malting quality QTLs and rpg4 chromosome regions. Harker, N. Rampling, M. Shariflou, M. Hayden, T.

Morell, P. Sharp, R. Edwards, Microsatellites as markers for Australian wheat improvement. Hartl, D. Hayashi, K.

Hashimoto, M. Ashikawa, Henry, R. Molecular markers in plant improvement. Hittalmani, S. Shashidhar, P. Bagali, N. Huang, J. Sidhu, V. Khush, Molecular mapping of quantitative trait loci for plant growth, yield and yield related traits across three diverse locations in a doubled haploid rice population. Hori, K. Kobayashi, A. Shimizu, K. Sato, K. Kawasaki, Efficient construction of high-density linkage map and its application to QTL analysis in barley. Huettel, B. Winter, K.

Weising, W. Choumane, F. Kahl, Sequence-tagged microsatellite site markers for chickpea Cicer arietinum L. Ishimaru, K. Yano, N. Aoki, K. Ono, T. Hirose, S. Lin, L. Monna, T. Ohsugi, Toward the mapping of physiological and agronomic characters on a rice function map: QTL analysis and comparison between QTLs and expressed sequence tags. Jahufer, M. Cooper, J. Bray, Identification of research to improve the efficiency of breeding strategies for white clover in Australia: A review.

Barret, A. DNA fingerprinting and genetic relationships among white clover cultivars. Morton Ed.



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