Title |
Expression quantitative trait loci infer the regulation of isoflavone accumulation in soybean (Glycine max L. Merr.) seed
|
---|---|
Published in |
BMC Genomics, August 2014
|
DOI | 10.1186/1471-2164-15-680 |
Pubmed ID | |
Authors |
Yan Wang, Yingpeng Han, Weili Teng, Xue Zhao, Yongguang Li, Lin Wu, Dongmei Li, Wenbin Li |
Abstract |
Mapping expression quantitative trait loci (eQTL) of targeted genes represents a powerful and widely adopted approach to identify putative regulatory variants. Linking regulation differences to specific genes might assist in the identification of networks and interactions. The objective of this study is to identify eQTL underlying expression of four gene families encoding isoflavone synthetic enzymes involved in the phenylpropanoid pathway, which are phenylalanine ammonia-lyase (PAL; EC 4.3.1.5), chalcone synthase (CHS; EC 2.3.1.74), 2-hydroxyisoflavanone synthase (IFS; EC1.14.13.136) and flavanone 3-hydroxylase (F3H; EC 1.14.11.9). A population of 130 recombinant inbred lines (F5:11), derived from a cross between soybean cultivar 'Zhongdou 27' (high isoflavone) and 'Jiunong 20' (low isoflavone), and a total of 194 simple sequence repeat (SSR) markers were used in this study. Overlapped loci of eQTLs and phenotypic QTLs (pQTLs) were analyzed to identify the potential candidate genes underlying the accumulation of isoflavone in soybean seed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 3% |
Unknown | 29 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 27% |
Student > Ph. D. Student | 5 | 17% |
Researcher | 4 | 13% |
Student > Bachelor | 3 | 10% |
Student > Postgraduate | 2 | 7% |
Other | 2 | 7% |
Unknown | 6 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 47% |
Business, Management and Accounting | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Social Sciences | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 33% |