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Legume Genomics and Genetics 2012, Vol.3, No.1, 1
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Research Report Open Access
Mapping and Meta-Analysis of Height QTLs in Soybean
Ya'nan Sun
1,2
, Huaihai Luan
1
, Zhaoming Qi
2
, Dapeng Shan
4
, Chunyan Liu
1
, Guohua Hu
1,3
, Qingshan
Chen
2
1. The Crop Research and Breeding Center of Land-Reclamation, Harbin, 150090, P.R. China
2. Northeast Agricultural University, Harbin, 150030, P.R. China
3. The National Research Center of Soybean Engineering and Technology, Harbin, 150030, P.R. China
4. HeilongjiangAcademy of Agricultural Sciences, Suihua Institute, Suihua, 152052, P.R. China
Corresponding authors email:
hugh757@vip.163.com; qshchen@126.com;
Authors
Legume Genomics and Genetics, 2012, Vol.3, No.1 doi: 10.5376/lgg.2012.03.0001
Received: 19 Dec., 2011
Accepted: 13 Jan., 2012
Published: 16 Jan., 2012
This article was first published in Molecular Plant Breeding in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:
Sun et al., 2012, Mapping and Meta-Analysis of Height QTLs in Soybean, Legume Genomics and Genetics, Vol.3, No.1 1
-
7 (doi: 10.5376/lgg.2012.03.0001)
Abstract
Plant height is one of very complicated quantitative traits of soybean yield and the phenotype data is variable to
environment. Since molecular marker technology appeared, many studies about soybean height QTL have been reported. In this study,
we analyzed QTLs data of soybean height between 2006 and 2008 with a recombination inbred lines (RIL) population derived from a
cross between Charleston and Dongnong594 by mixed linear model approach. The results showed that 15 QTLs for plant height were
mapped in the linkage group (LG) B1, LG D1a, LG G by software Windows QTL Cartographer Ver. 2.5. Furthermore, another 78
QTLs of plant height mapped in different populations and environments were collected, combined with the QTLs above, projected
and integrated the reference map with the software BioMercator2.1. Finally, a total of 12 consensus QTLs and their corresponding
markers were obtained respectively. The minimum CI was shrunk to 0.24 cM. These results would lay the foundation for mapping
plant height QTL genes precisely in soybean in future.
Keywords
Soybean (
Glycine max
(L.)
Merr
.); Plant height; QTL mapping; Meta-analysis
Background
Soybean (
Glycine max
(L.)
Merr
.), grown worldwide
as the major crop, enrich seed protein and oil.
Nowadays, obtaining high and steady yield is the main
goal to soybean researchers. Molecular markers have
provided a powerful new tool for breeders to search
for new sources of variation and to investigate genetic
factors controlling quantitatively inherited traits. Plant
height is an important factor of yield, Wilcox et al
(1981) found plant height have greater effect on yield.
Luo (2001) confirmed the lower plants were stronger
resistance to lodging and high-yielding in the research
of soybean density cultivation. Wang et al (2004)
detected 5 soybean height QTLs from a BC
2
F
4
lines
derived from the cross of IA2008
×
PI468916, 4
height QTLs of position matched to yield, further
verified that plant height related to yield. Currently,
mapping QTLs tend to use the data of field trials with
multiple years and sites, but the stability and validity
of the QTL mapping still stay in the traditional
quantitative genetics research stage. Therefore, research
based on stability analysis of traits and quantitative
genetics is necessary (Wang et al., 2007).
With the development of molecular genetics and
molecular marker technology, some high-density
integrated genetic maps, such as the map by Gong
(2006), have been constructed, especially soymap2
with high density (Song et al., 2004), lay the foundation
for soybean height QTL from fine-mapping to gene
mapping. The information of 78 soybean plant height
QTLs by using CIM and MIM methods were listed in
the public database Soybase (http:// soybase.org/) and
published in recent published papers. Sun (2006)
investigated the developmental behavior of plant
height QTL by unconditional and conditional QTL
mapping methods (Zhu, 1995). But the reports on
matured soybean plant height QTL under different
environment were rare.
Mining the major QTL has become a hot spot recently