Comparative Inference of Duplicated Genes Produced by Polyploidization in Soybean Genome

Joint Authors

Wang, Jinpeng
Yang, Yanmei
Di, Jianyong

Source

International Journal of Genomics

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-4, 4 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-10-09

Country of Publication

Egypt

No. of Pages

4

Main Subjects

Natural & Life Sciences (Multidisciplinary)
Biology

Abstract EN

Soybean (Glycine max) is one of the most important crop plants for providing protein and oil.

It is important to investigate soybean genome for its economic and scientific value.

Polyploidy is a widespread and recursive phenomenon during plant evolution, and it could generate massive duplicated genes which is an important resource for genetic innovation.

Improved sequence alignment criteria and statistical analysis are used to identify and characterize duplicated genes produced by polyploidization in soybean.

Based on the collinearity method, duplicated genes by whole genome duplication account for 70.3% in soybean.

From the statistical analysis of the molecular distances between duplicated genes, our study indicates that the whole genome duplication event occurred more than once in the genome evolution of soybean, which is often distributed near the ends of chromosomes.

American Psychological Association (APA)

Yang, Yanmei& Wang, Jinpeng& Di, Jianyong. 2013. Comparative Inference of Duplicated Genes Produced by Polyploidization in Soybean Genome. International Journal of Genomics،Vol. 2013, no. 2013, pp.1-4.
https://search.emarefa.net/detail/BIM-459566

Modern Language Association (MLA)

Yang, Yanmei…[et al.]. Comparative Inference of Duplicated Genes Produced by Polyploidization in Soybean Genome. International Journal of Genomics No. 2013 (2013), pp.1-4.
https://search.emarefa.net/detail/BIM-459566

American Medical Association (AMA)

Yang, Yanmei& Wang, Jinpeng& Di, Jianyong. Comparative Inference of Duplicated Genes Produced by Polyploidization in Soybean Genome. International Journal of Genomics. 2013. Vol. 2013, no. 2013, pp.1-4.
https://search.emarefa.net/detail/BIM-459566

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-459566