Abstract
In order to detect the genetic architecture of maize tolerance to Alachlor, a widely used chloroacetanilide, linkage analysis between the expression of the trait and allelic composition of molecular markers was performed. The experiment was carried out on a population of 142 recombinant inbred lines, developed starting from the F1 between two lines with different reactivity to the herbicide, and self-fertilized for 10 generations; the lines were typed by 48 RFLP markers and 66 microsatellites (SSR). Besides seedling tolerance, evaluated as proportion of normal (non-injured) plants after herbicide treatment, other minor components of tolerance were studied: seed germination ability, pollen germination and tube growth in the presence of the herbicide. The analysis, performed by three statistical methods, revealed the presence of factors controlling seedling tolerance on seven chromosomal regions. Five QTLs appeared to be involved in seed germination ability in the presence of Alachlor, four QTLs in pollen tolerance in terms of germination and four in tube growth under stress were detected. Three loci, on chromosomes 1, 7 and 10, explained most of the variation of seedling tolerance, thus being interesting candidate for marker-assisted selection.
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References
Ahn S, Tanksley SD: Comparative linkage maps of the rice and maize genomes. Proc Natl Acad Sci USA 90: 7980–7984 (1993).
Bala Narsaiah D, Harvey RG: Differential responses of corn inbreds and hybrids to Alachlor. Crop Sci 17: 657–659 (1977).
Francis TR, Hamill AS: Inheritance ofmaize seedling tolerance to Alachlor. Can J Plant Sci 60: 1045–1047 (1980).
Frascaroli E, Landi P, Villa M, Sari-Gorla M: Effect of pollen selection for Alachlor tolerance in maize. Crop Sci 35: 1322–1326 (1995).
Frova C, Sari Gorla M:Quantitative trait loci (QTLs) for pollen thermotolerance detected in maize. Mol Gen Genet 245: 424–430 (1994).
Genstat 5 Committee 1993 Genstat 5 Release 3 Reference Manual. Clarendon Press, Oxford
Gressel J: Appearance of single and multi-group herbicide resistances and strategies for their prevention. British Crop Protect Conference, Weeds 5–3, pp. 479–488 (1987).
Haley CS, Knott SA: A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity 69: 315–324 (1987).
Helentjaris T, Weber D, Wright S: Identification of the genomic locations of duplicate nucleotide sequences in maize by analysis of restriction fragment length polymorphisms. Genetics 118: 353–363 (1988).
Hospital F, Dillmann C, Melchinger AE: Ageneral algorithmto compute multilocus genotype frequencies under various mating systems. CABIOS 12: 455–462 (1996).
Hyne V, Kearsey MJ, Pike DJ, Snape JW: QTL analysis: unreliability and bias in estimation procedures. Mol Breed 1: 273–282 (1995).
Hyne V, Kearsey MJ, Martinez O, Gang W, Snape JW: A partial genome assay for quantitative loci in wheat (Triticum aestivum) using different analytical techniques. Theor Appl Genet 89: 735–741 (1995).
Jaworski EF: Analysis of the mode of action of herbicidal _-chloroacetamides. J Agric Food Chem 17: 165–170 (1969).
Kearsey MJ, Hyne V: QTL analysis: a simple ‘marker regression’ approach. Theor Appl Genet 89: 698–702 (1994).
Korol AB, Yefim IR, Kirzhner VM: Linkage between quantitative trait loci and marker loci: resolution power of three statistical approaches in single marker analysis. Biometrics 52: 426–441 (1996).
Lander E, Green P, Abrahamson J, Barlow A, Daley M, Lincoln S, Newburg L: MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1: 174–181 (1987).
Pè ME, Gianfranceschi L, Taramino G, Tarchini R, Angelini P, Dani M, Binelli G: Mapping QTLs for resistance to Gibberella zeae infection in maize. Mol Gen Genet 241: 11–16 (1993).
Rebai A, Goffinet B, Mangin B: Comparing power of different methods for QTL detection. Biometrics 51: 87–99 (1995).
Rossini L, Jepson I, Greenland A, Sari-Gorla M: Characterisation of GST isoforms in three maize inbred lines exhibiting differential sensitivity to alachlor. Plant Physiol 112: 1595–1600 (1996).
Sari-Gorla M, Calinski T, Kaczmarek Z, Krajewski P: Detection of QTL × environment interaction in maize by a least squares interval mapping method. Heredity 78: 146–157 (1997).
Sari-Gorla M, Ferrario S, Frascaroli E, Frova C, Landi P, Villa M: Sporophytic response to pollen selection for Alachlor tolerance in maize. Theor Appl Genet 88: 812–817 (1994).
Sari-Gorla M, Ferrario S, Rossini L, Frova C, Villa M: Developmental expression of glutathione-S-transferase in maize and its possible connection with herbicide tolerance. Euphytica 86: 213–220 (1993).
Sari-Gorla M, Pè ME, Mulcahy DL, Ottaviano E: Genetic dissection of pollen competitive ability in maize. Heredity 69: 423–430 (1992).
Sari-Gorla M, Pè ME, Rossini L: Detection of QTLs controlling pollen germination and growth in maize. Heredity 72: 332–335 (1994).
Sari-Gorla M, Rampoldi L, Binelli G, Frova C, Pèe ME: Identification of genetic factors for Alachlor tolerance in maize by molecular markers. Mol Gen Genet 251: 551–555 (1996).
SAS Institute: SAS user's guide. Statistics, SAS Institute, Cary, NC (1995).
Utz HF, Melchinger AE: Comparison of different approaches to interval mapping of quantitative trait loci. In: van Oijen JW, Jansen J (eds) Biometrics in Plant Breeding: Applications of Molecular Markers, pp. 195–204. Proc. Eucarpia Meeting, Wageningen, (1994).
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Sari-Gorla, M., Krajewski, P., Binelli, G. et al. Genetic dissection of herbicide tolerance in maize by molecular markers. Molecular Breeding 3, 481–493 (1997). https://doi.org/10.1023/A:1009631301428
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DOI: https://doi.org/10.1023/A:1009631301428