TY - JOUR
T1 - A model for linkage analysis with apomixis
AU - Hou, Wei
AU - Lin, Shen
AU - Li, Yao
AU - Pang, Xiaoming
AU - Zeng, Yanru
AU - Wu, Rongling
N1 - Funding Information:
This work is partially supported by an Open Fund 200602 from former Zhejiang Forestry University, a grant 30771752 from the NSF of China, NSF/IOS-0923975, Changjiang Scholars Award, and “Thousand-person Plan” Award.
PY - 2011/9
Y1 - 2011/9
N2 - Apomixis, or asexual reproduction through seeds, occurs in over 400 species of angiosperms. Although apomixis can favorably perpetuate desired genotypes through successive seed generation, it may also bring about some difficulty for linkage analysis and quantitative trait locus mapping. In this article, we explore the issue of how apomixis affects the precision and power of linkage analysis with molecular markers. We derive a statistical model for estimating the linkage between different markers when some progeny are derived from apomixis. The model was constructed within the maximum likelihood framework and implemented with the EM algorithm. A series of procedures are formulated to test the linkage of markers, the rate of apomixis, and the degree of genetic interference during meiosis. The model was examined and validated through simulation studies. The model will provide a tool for linkage mapping and evolutionary studies for plant species that undergo apomixis.
AB - Apomixis, or asexual reproduction through seeds, occurs in over 400 species of angiosperms. Although apomixis can favorably perpetuate desired genotypes through successive seed generation, it may also bring about some difficulty for linkage analysis and quantitative trait locus mapping. In this article, we explore the issue of how apomixis affects the precision and power of linkage analysis with molecular markers. We derive a statistical model for estimating the linkage between different markers when some progeny are derived from apomixis. The model was constructed within the maximum likelihood framework and implemented with the EM algorithm. A series of procedures are formulated to test the linkage of markers, the rate of apomixis, and the degree of genetic interference during meiosis. The model was examined and validated through simulation studies. The model will provide a tool for linkage mapping and evolutionary studies for plant species that undergo apomixis.
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U2 - 10.1007/s00122-011-1618-4
DO - 10.1007/s00122-011-1618-4
M3 - Article
C2 - 21625991
AN - SCOPUS:80054791414
SN - 0040-5752
VL - 123
SP - 681
EP - 691
JO - Theoretical and Applied Genetics
JF - Theoretical and Applied Genetics
IS - 5
ER -