Theoretical and Applied Genetics

, Volume 111, Issue 2, pp 337–346 | Cite as

Quantitative trait loci for cell-wall components in recombinant inbred lines of maize (Zea mays L.) I: stalk tissue

Original Paper

Abstract

Maize silage is a significant energy source for animal production operations, and the efficiency of the conversion of forage into animal mass is an important consideration when selecting cultivars for use as feed. Fiber and lignin are negatively correlated with digestibility of feed, so the development of forage with reduced levels of these cell-wall components (CWCs) is desirable. While variability for fiber and lignin is present in maize germplasm, traditional selection has focused on the yield of the ear rather than the forage quality of the whole plant, and little information is available concerning the genetics of fiber and lignin. The objectives of this study were to map quantitative trait loci (QTLs) for fiber and lignin in the maize stalk and compare them with QTLs from other populations. Stalk samples were harvested from 191 recombinant inbred lines (RILs) of B73 (an inbred line with low-to-intermediate levels of CWCs) × De811 (an inbred line with high levels of CWCs) at two locations in 1998 and one in 1999 and assayed for neutral detergent fiber (NDF), acid detergent fiber (ADF), and acid detergent lignin (ADL). The QTLs were detected on nine chromosomes, mostly clustered in concordance with the high genetic correlations between NDF and ADF. Adjustment of NDF for ADF and ADF for ADL revealed that most of the variability for CWCs in this population is in ADF. Many of the QTLs detected in this study have also been detected in other populations, and several are linked to candidate genes for cellulose or starch biosynthesis. The genetic information obtained in this study should be useful to breeding efforts aimed at improving the quality of maize silage.

References

  1. Austin DF, Lee M, Veldboom LR, Hallauer AR (2000) Genetic mapping in maize with hybrid progeny across testers and generations: grain yield and grain moisture. Crop Sci 40:30–39Google Scholar
  2. Beavis WD (1994) The power and deceit of QTL experiments: lessons from comparative QTL studies. In: ASTA (ed) 49th Annu Corn Sorghum Industry Res Conf. ASTA, Washington, D.C., pp 250–266Google Scholar
  3. Beeghly HH, Coors JG, Lee M (1997) Plant fiber composition and resistance to European corn borer in four maize populations. Maydica 42:297–303Google Scholar
  4. Buchanan BB, Gruissem W, Jones RL (2000) Biochemistry and molecular biology of plants. ASPP, Rockville, Md.Google Scholar
  5. Buendgen MR, Coors JG, Grombacher AW, Russell WA (1990) European corn borer resistance and cell wall composition of three maize populations. Crop Sci 30:505–510Google Scholar
  6. Cardinal A, Lee M, Moore KJ (2003) Genetic mapping and analysis of quantitative trait loci (QTL) affecting fiber and lignin content in maize. Theor Appl Genet 106:866–874PubMedGoogle Scholar
  7. Causse M, Rocher J, Henry AM, Charcosset A, Prioul J, de Vienne D (1995a) Genetic dissection of the relationship between carbon metabolism and early growth in maize, with emphasis on key-enzyme loci. Mol Breed 1:259–272Google Scholar
  8. Causse M, Rocher J, Pelleschi S, Barriére Y, de Vienne D, Prioul J (1995b) Sucrose phosphate synthase: an enzyme with heterotic activity correlated with maize growth. Crop Sci 35:995–1001Google Scholar
  9. Causse M, Santoni S, Damerval C, Maurice A, Charcosset A, Deatrick J, de Vienne D (1996) A composite map of expressed sequences in maize. Genome 39:418–432Google Scholar
  10. Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138:963–971PubMedGoogle Scholar
  11. Cochran WG, Cox GM (1957) Experimental designs, 2nd edn. Wiley, New YorkGoogle Scholar
  12. Deinum B, Struik PC (1986) Improving the nutritive value of forage maize. In: Dolstra O, Miedema P (eds) Breed Silage Maize. Proc 13th Cong Maize Sorghum Sect EUCARPIA. Pudoc, Wageningen, pp 77–90Google Scholar
  13. Delmer DP, Amor Y (1995) Cellulose biosynthesis. Plant Cell 7:987–1000CrossRefPubMedGoogle Scholar
  14. Delmer DP, Haigler CH (2002) The regulation of metabolic flux to cellulose, a major sink for carbon in plants. Metab Eng 4:22–28CrossRefPubMedGoogle Scholar
  15. Fehr WR (ed) (1987) Principles of cultivar development. McGraw-Hill, New YorkGoogle Scholar
  16. Ferret A, Casañas F, Verdú AM, Bosch L, Nuez F (1991) Breeding for yield and nutritive value in forage maize: an easy criterion for stover quality, and genetic analysis of Lancaster variety. Euphytica 53:61–66CrossRefGoogle Scholar
  17. Gaut BS (2001) Patterns of chromosomal duplication in maize and their implications for comparative maps of the grasses. Genome Res 11:55–66CrossRefPubMedGoogle Scholar
  18. Georges MD, Nielsen D, Mackinnon M, Mishra A, Okimoto R, Pasquino AT, Sargeant LS, Sorensen A, Steele MR, Zhoa Z, Womack JE, Hoeschele I (1995) Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing. Genetics 139:907–920PubMedGoogle Scholar
  19. Helentjaris T, Weber D, Wright S (1988) Identification of genomic locations of duplicate nucleotide sequences in maize by analysis of restriction fragment length polymorphisms. Genetics 118:353–363Google Scholar
  20. Holland JB (1998) epistacy: a SAS program for detecting two-locus epistatic interactions using genetic marker information. J Hered 89:374–375CrossRefGoogle Scholar
  21. Holland JB, Moser HS, O’Donoughue LS, Lee M (1997) QTLs and epistasis associated with vernalization responses in oat. Crop Sci 38:1306–1316Google Scholar
  22. Holland N, Holland D, Helentjaris T, Dhugga KS, Xoconostle-Cazares B, Delmer DP (2000) A comparative analysis of the plant cellulose synthase (CesA) gene family. Plant Physiol 123:1313–1324PubMedGoogle Scholar
  23. Hunt CW, Kezar W, Vinande R (1992) Yield, chemical composition, and ruminal fermentability of corn whole plant, ear, and stover as affected by hybrid. J Prod Agric 5:286–290Google Scholar
  24. Hunter RB (1978) Selection and evaluation procedures for whole-plant corn silage. Can J Plant Sci 58:661–678Google Scholar
  25. Jansen RC (1993) Interval mapping of multiple quantitative trait loci. Genetics 135:205–211PubMedGoogle Scholar
  26. Jansen RC, Stam P (1994) High resolution of quantitative traits with multiple loci via interval mapping. Genetics 136:1447–1455PubMedGoogle Scholar
  27. Knapp SJ, Stroup WW, Ross WM (1985) Exact confidence intervals for heritability on a progeny mean basis. Crop Sci 25:192–194Google Scholar
  28. Krakowsky MD, Beeghly HH, Coors JG, Lee M (2003) Characterization of quantitative trait loci affecting fiber and lignin in maize (Zea mays L). Maydica 48:283–292Google Scholar
  29. Krakowsky MD, Lee M, Woodman-Clikeman WL, Long MJ, Sharpova N (2004) QTL mapping of resistance to stalk tunneling by the European corn borer in RILs of maize population B73 × De811. Crop Sci 44:274–282Google Scholar
  30. Lander ES, Botstein D (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199PubMedGoogle Scholar
  31. Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln ES, Newburg L (1987) mapmaker: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181CrossRefPubMedGoogle Scholar
  32. Lübberstedt T, Melchinger AE, Klein D, Degenhardt H, Paul C (1997) QTL mapping in testcrosses of European flint lines of maize: II. Comparison of different testers for forage quality traits. Crop Sci 37:1913–1922Google Scholar
  33. Lundvall JP, Buxton DR, George JR (1994) Forage quality variation among maize inbreds: in vitro digestibility and cell-wall components. Crop Sci 34:1672–1678Google Scholar
  34. Méchin V, Argillier O, Hébert Y, Guingo E, Moreau L, Charcosset A, Barrière Y (2001) Genetic analysis and QTL mapping of cell wall digestibility and lignification in silage maize. Crop Sci 41:690–697Google Scholar
  35. Mode CJ, Robinson HF (1959) Pleiotropism and the genetic variance and covariance. Biometrics 15:518–537Google Scholar
  36. Ooijen JW van (1992) Accuracy of mapping quantitative trait loci in autogamous species. Theor Appl Genet 84:803–811Google Scholar
  37. Papst C, Bohn M, Utz HF, Melchinger AE, Klein D, Eder J (2004) QTL mapping for European corn borer resistance (Ostrinia nubilalis Hb.), agronomic and forage quality traits of testcross progenies in early-maturing European maize (Zea mays L.) germplasm. Theor Appl Genet 108:1545–1554Google Scholar
  38. Preiss J (1982) Regulation of the biosynthesis and degradation of starch. Annu Rev Plant Physiol 33:431–454CrossRefGoogle Scholar
  39. Prioul JL, Pelleschi S, Séne M, Thévenot C, Causse M, deVienne D, Leonardi A (1999) From QTLs for enzyme activity to candidate genes in maize. J Exp Bot 50:1281–1288CrossRefGoogle Scholar
  40. Robertson JB, van Soest PJ (1980) Detergent system of analysis and its application to human foods. In: James WPT, Theander O (eds) The analysis of dietary fiber in food. Marcel Dekker, New York, pp 123–158Google Scholar
  41. Roth LS, Marten GC, Compton WA, Stuthman DD (1970) Genetic variation of quality traits in maize (Zea mays L.) forage. Crop Sci 10:365–367Google Scholar
  42. SAS Institute (1999) SAS OnlineDoc, version 8. SAS Institute, Cary, N.C.Google Scholar
  43. Senior ML, Murphy JP, Goodman MM, Stuber CW (1996) Utility of SSRs for determining genetic similarities and relationships in maize using an agarose gel system. Crop Sci 38:1088–1098Google Scholar
  44. Shanker A, Salazar RW, Taliercio EW, Chourey PS (1995) Cloning and characterization of full-length cDNA encoding cell-wall invertase from maize. Plant Physiol 108:873–4CrossRefPubMedGoogle Scholar
  45. van Soest PJ (1994) Nutritional ecology of the ruminant, 2nd edn. Cornell University Press, IthacaGoogle Scholar
  46. Utz HF, Melchinger AE (1996) plabqtl: a program for composite interval mapping of QTL. JQTL 2:1Google Scholar
  47. Veldboom LR, Lee M, Woodman W (1994) Molecular marker-facilitated studies in an elite maize population: I linkage analysis and determination of QTL for morphological traits. Theor Appl Genet 88:7–16Google Scholar
  48. Visscher PM, Thompson R, Haley CS (1996) Confidence intervals in QTL mapping by bootstrapping. Genetics 143:1013–1020PubMedGoogle Scholar
  49. Whetten R, Sederoff R (1998) Lignin biosynthesis. Plant Cell 7:1001–1013CrossRefGoogle Scholar
  50. Wolf DP, Coors JG, Albrecht KA, Undersander DJ, Carter PR (1993) Forage quality of maize genotypes selected for extreme fiber concentrations. Crop Sci 33:1353–1359Google Scholar
  51. Zeng Z (1994) Precision mapping of quantitative trait loci. Genetics 136:1457–1468PubMedGoogle Scholar

Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.Department of AgronomyIowa State UniversityAmesUSA
  2. 2.Department of AgronomyUniversity of WisconsinMadisonUSA

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