4.5 Article

Age-dependent quantitative trait loci affecting growth traits in Scottish Blackface sheep

Journal

ANIMAL GENETICS
Volume 40, Issue 2, Pages 165-175

Publisher

WILEY-BLACKWELL PUBLISHING, INC
DOI: 10.1111/j.1365-2052.2008.01814.x

Keywords

growth; growth model; growth parameter; growth rate; longitudinal trait; marker assisted selection; quantitative trait loci; sheep

Funding

  1. Marie Curie Host Fellowships for Early Stage Research Training
  2. Defra
  3. BBSRC [BBS/E/D/05191132] Funding Source: UKRI
  4. Biotechnology and Biological Sciences Research Council [BBS/E/D/05191132] Funding Source: researchfish

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To dissect age-dependent quantitative trait loci (QTL) associated with growth and to examine changes in QTL effects over time, the Gompertz growth model was fitted to longitudinal live weight data on 788 Scottish Blackface lambs from nine half-sib families. QTL were mapped for model parameters and weekly live weights and growth rates using microsatellite markers on chromosomes 1, 2, 3, 5, 14, 18, 20 and 21. QTL significance (using alpha = 0.05 chromosome-wide significance thresholds, unless otherwise stated) varied with age, and those for growth rate occurred earlier than equivalent QTL for live weight. A chromosome 20 QTL for growth rate was significant from 4 to 9 weeks (maximum significance at 6 weeks) and for maximum growth rate. For live weight, this QTL was significant from 8 to 16 weeks (maximum significance at 12 weeks). A nominally significant chromosome 14 QTL was detected for growth rates from birth to week 2 in the same families and location as an 8-week weight QTL. In addition, at the same position on chromosome 14, a QTL was significant for growth rate for 17-28 weeks (maximum significance at 24 weeks). A chromosome 3 QTL was significant for weights at early ages (birth to week 4) and a growth rate QTL on chromosome 18 was significant from 8 to 12 weeks. Fitting growth curves allowed the combination of information from multiple measurements into a few biologically meaningful variables, and the detection of growth QTL that were not observed from analyses of raw weight data. These QTL describe distinct parts of an animal's growth curve trajectory, possibly enabling manipulation of this trajectory.

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