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Identification of quantitative trait loci associated with soybean seed protein content using two populations derived from crosses between Glycine max and Glycine soja

Published online by Cambridge University Press:  16 July 2014

Long Yan
Affiliation:
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, People's Republic of China Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang Branch Center of National Center for Soybean Improvement, The Key Laboratory of Crop Genetics and Breeding, Shijiazhuang 050035, People's Republic of China
Li-Li Xing
Affiliation:
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, People's Republic of China
Chun-Yan Yang
Affiliation:
Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang Branch Center of National Center for Soybean Improvement, The Key Laboratory of Crop Genetics and Breeding, Shijiazhuang 050035, People's Republic of China
Ru-Zhen Chang
Affiliation:
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, People's Republic of China
Meng-Chen Zhang
Affiliation:
Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang Branch Center of National Center for Soybean Improvement, The Key Laboratory of Crop Genetics and Breeding, Shijiazhuang 050035, People's Republic of China
Li-Juan Qiu*
Affiliation:
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, People's Republic of China
*
* Corresponding author. E-mail: qiulijuan@caas.cn
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Abstract

Seed protein content is one of the most important traits controlled by quantitative trait loci (QTLs) in soybean. In this study, a Glycine soja accession (ZYD2738) was crossed with two elite cultivars Jidou 12 and Jidou 9 separately and subsequently the resulting F2:3 populations were used to identify QTLs associated with seed protein content. Protein contents in either population appeared to have a normal distribution with transgressive segregation. A total of five QTLs associated with high protein content were identified and mapped to chromosomes 2, 6, 13, 18 and 20, respectively. Of these QTLs, three (qPRO_2_1, qPRO_13_1 and qPRO_20_1) were identified in the same region in both the populations, whereas the other two (qPRO_6_1 and qPRO_18_1) were mapped in two different regions. qPRO_2_1 appears to be a novel protein QTL. qPRO_6_1, qPRO_18_1 and qPRO_20_1 had additive effects on seed protein content, while qPRO_13_1 had an over-dominant effect on seed protein content. These QTLs and their linked markers could serve as effective tools for marker-assisted selection to increase seed protein content.

Figure 0

Table 1 Quantitative trait loci (QTLs), chromosome locations, linkage markers, and genetic contributions to seed protein content from QTLs identified using composite interval mapping in two F2:3 populations derived from the Glycine max×Glycine soja crosses of Jidou 12×ZYD2738 and Jidou 9×ZYD2738

Figure 1

Fig. 1 Logarithm of the odds score plot for qPRO_2_1 in two populations of Jidou 12 × ZYD2738 and Jidou 9 × ZYD2738 in chromosome 2. Genetic positions of the markers are given in centimorgans.