Detection of different QTL for antibody responses to Keyhole Lympet Hemocyanin and Mycobacterium butyricum in two unrelated population in laying hens

M.Z. Siwek-Gapinska, A.J. Buitenhuis, S.J.B. Cornelissen, M.G.B. Nieuwland, H. Bovenhuis, R.P.M.A. Crooijmans, M.A.M. Groenen, G. de Vries Reilingh, H.K. Parmentier, J.J. van der Poel

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29 Citations (Scopus)

Abstract

Quantitative trait loci involved in the primary antibody response to keyhole lympet hemocyanin (KLH) and Mycobacterium butyricum were detected in two independent populations of laying hens. The first population was an F-2 cross (H/L) of lines divergently selected for either high or low primary antibody responses to SRBC, and the second population was an F-2 cross between 2 commercial layer lines displaying differences in feather pecking behavior (FP). Both populations were typed with microsatellite markers widely distributed over the genome with similar intervals between markers. Titers of antibodies binding KLH and M. butyricum were measured for all individuals by ELISA. Two genetic models were applied to detect QTL involved in the humoral immune response: a half-sib model and a line-cross model, both using the regression interval method. In the half-sib analysis, 2 QTL (on GGA14 and GGA27) were detected for the antibody response to KLH for the H/L population, and 2 QTL (on GGA14 and GGA18) were detected for the FP population. Only I QTL was detected for M. butyricum on GGA14 in the FP population using the half-sib analysis model. Two QTL were detected for the FP population on GGA2 and GGA3 using the line-cross analysis model. A QTL for the primary antibody response to KLH detected on GGA14 was validated in both populations under the half-sib analysis model. The present data suggest differences in the genetic regulation of antibody responses to two different T-cell dependent antigens.Quantitative trait loci involved in the primary antibody response to keyhole lympet hemocyanin (KLH) and Mycobacterium butyricum were detected in two independent populations of laying hens. The first population was an F-2 cross (H/L) of lines divergently selected for either high or low primary antibody responses to SRBC, and the second population was an F-2 cross between 2 commercial layer lines displaying differences in feather pecking behavior (FP). Both populations were typed with microsatellite markers widely distributed over the genome with similar intervals between markers. Titers of antibodies binding KLH and M. butyricum were measured for all individuals by ELISA. Two genetic models were applied to detect QTL involved in the humoral immune response: a half-sib model and a line-cross model, both using the regression interval method. In the half-sib analysis, 2 QTL (on GGA14 and GGA27) were detected for the antibody response to KLH for the H/L population, and 2 QTL (on GGA14 and GGA18) were detected for the FP population. Only I QTL was detected for M. butyricum on GGA14 in the FP population using the half-sib analysis model. Two QTL were detected for the FP population on GGA2 and GGA3 using the line-cross analysis model. A QTL for the primary antibody response to KLH detected on GGA14 was validated in both populations under the half-sib analysis model. The present data suggest differences in the genetic regulation of antibody responses to two different T-cell dependent antigens.
Original languageEnglish
Pages (from-to)1845-1852
JournalPoultry Science
Volume82
Issue number12
DOIs
Publication statusPublished - 2003

Keywords

  • red-blood-cells
  • low humoral responsiveness
  • chain constant-region
  • growing layer hens
  • mareks-disease
  • affecting susceptibility
  • microsatellite markers
  • immune responsiveness
  • sheep erythrocytes
  • escherichia-coli

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