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Treffer: Methodologies for segregation analysis and QTL mapping in plants.

Title:
Methodologies for segregation analysis and QTL mapping in plants.
Authors:
Zhang YM; Section on Statistical Genomics, State Key Laboratory of Crop Genetics and Germplasm Enhancement and National Center for Soybean Improvement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, China. soyzhang@njau.edu.cn, Gai J
Source:
Genetica [Genetica] 2009 Jun; Vol. 136 (2), pp. 311-8. Date of Electronic Publication: 2008 Aug 23.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't; Review
Language:
English
Journal Info:
Publisher: Kluwer Academic Country of Publication: Netherlands NLM ID: 0370740 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-6857 (Electronic) Linking ISSN: 00166707 NLM ISO Abbreviation: Genetica Subsets: MEDLINE
Imprint Name(s):
Publication: Dordrecht : Kluwer Academic
Original Publication: s'-Gravenhage.
Number of References:
52
References:
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Substance Nomenclature:
0 (Genetic Markers)
Entry Date(s):
Date Created: 20080830 Date Completed: 20090713 Latest Revision: 20220321
Update Code:
20250114
DOI:
10.1007/s10709-008-9313-3
PMID:
18726162
Database:
MEDLINE

Weitere Informationen

Most characters of biological interest and economic importance are quantitative traits. To uncover the genetic architecture of quantitative traits, two approaches have become popular in China. One is the establishment of an analytical model for mixed major-gene plus polygenes inheritance and the other the discovery of quantitative trait locus (QTL). Here we review our progress employing these two approaches. First, we proposed joint segregation analysis of multiple generations for mixed major-gene plus polygenes inheritance. Second, we extended the multilocus method of Lander and Green (1987), Jiang and Zeng (1997) to a more generalized approach. Our methodology handles distorted, dominant and missing markers, including the effect of linked segregation distortion loci on the estimation of map distance. Finally, we developed several QTL mapping methods. In the Bayesian shrinkage estimation (BSE) method, we suggested a method to test the significance of QTL effects and studied the effect of the prior distribution of the variance of QTL effect on QTL mapping. To reduce running time, a penalized maximum likelihood method was adopted. To mine novel genes in crop inbred lines generated in the course of normal crop breeding work, three methods were introduced. If a well-documented genealogical history of the lines is available, two-stage variance component analysis and multi-QTL Haseman-Elston regression were suggested; if unavailable, multiple loci in silico mapping was proposed.