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Scientia Silvae Sinicae ›› 1999, Vol. 35 ›› Issue (2): 100-117.

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STATISTICAL METHODS FOR MAPPING QUANTITATIVE TRAIT LOCI IN FOREST TREES

Rongling Wu1,2,Hongxia Liu3,Yifan Han2   

  1. 1. Forest Biotechnology Group, Department Of Forestry, North Carolina State University, Raleigh, NC 98195 USA
    2. Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091
    3. Department of Forestry, Beijing Forestry University, Beijing 100083
  • Received:1998-08-14 Online:1999-03-25 Published:1999-03-25

Abstract:

The objective of mapping quantitative trait loci (QTLs) is to search for genes affecting quantitative traits with the aid of genetic linkage maps constructed from molecular markers. As a prerequisite for map-based cloning of important genes in biology, medicine and agriculture, the genetic mapping of QTLs has being brought about a revolutionary change in quantitative genetics. In the past decade, many statistical methods have been developed to estimate the effects of QTLs and locate their positions throughout the genome. Although these methods are based on well-defined pedigrees, such as F2 and backcrosses, initiated with inbred lines, their theoretical framework can be developed to map QTLs in outbred forest trees. In this article, we review the principle of constructing genetic linkage maps and statistical basis for QTL mapping using the maps. Further directions for developing statistical mapping methods in forest trees are discussed.

Key words: Quantitative trait loci, Mapping, Molecular marker, Tree