A computational approach to understand Arabidopsis thaliana and soybean resistance to Fusarium solani (Fsg)

Jiazheng Yuan, Michelle Zhu, M. Javed Iqbal, Jack Y. Yang, David A. Lightfoot

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

Abstract

In this study, we reported the analysis of Arabidopsis thaliana microarray gene expression profile of root tissues after the plant was challenged with fungal pathogen Fusarium solani f. sp. glycines (Fsg). Our microarray analysis showed that the infection caused 130 transcript abundances (TAs) to increase by more than 2 fold and 32 out of 130 TAs were increased by more than 3 fold in the root tissues. However, only nineteen ESTs were observed with a decrease in TAs by more than 2 fold and 13 of them went down more than 3 fold due to the pathogen infection. In addition, the number of the up-regulated genes was nearly seven times more than that of down-regulated genes. The coordinate regulation of adjacent genes was detected and the distance distribution of the nearest neighbor genes was less likely to be randomly scattered in genome. The results of this study enabled us to decipher the resistance mechanism to Fsg through an integrated computational approach.

Original languageEnglish
Title of host publicationProceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Pages585-592
Number of pages8
DOIs
StatePublished - 1 Dec 2007
Event7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE - Boston, MA, United States
Duration: 14 Jan 200717 Jan 2007

Publication series

NameProceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Other

Other7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
CountryUnited States
CityBoston, MA
Period14/01/0717/01/07

Fingerprint

Fusarium
Soybeans
Arabidopsis
Genes
Pathogens
Microarrays
Expressed Sequence Tags
Tissue
Microarray Analysis
Infection
Transcriptome
Glycine
Gene expression
Genome
Amino acids

Cite this

Yuan, J., Zhu, M., Iqbal, M. J., Yang, J. Y., & Lightfoot, D. A. (2007). A computational approach to understand Arabidopsis thaliana and soybean resistance to Fusarium solani (Fsg). In Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE (pp. 585-592). [4375620] (Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE). https://doi.org/10.1109/BIBE.2007.4375620
Yuan, Jiazheng ; Zhu, Michelle ; Iqbal, M. Javed ; Yang, Jack Y. ; Lightfoot, David A. / A computational approach to understand Arabidopsis thaliana and soybean resistance to Fusarium solani (Fsg). Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE. 2007. pp. 585-592 (Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE).
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Yuan, J, Zhu, M, Iqbal, MJ, Yang, JY & Lightfoot, DA 2007, A computational approach to understand Arabidopsis thaliana and soybean resistance to Fusarium solani (Fsg). in Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE., 4375620, Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE, pp. 585-592, 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE, Boston, MA, United States, 14/01/07. https://doi.org/10.1109/BIBE.2007.4375620

A computational approach to understand Arabidopsis thaliana and soybean resistance to Fusarium solani (Fsg). / Yuan, Jiazheng; Zhu, Michelle; Iqbal, M. Javed; Yang, Jack Y.; Lightfoot, David A.

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE. 2007. p. 585-592 4375620 (Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Yuan J, Zhu M, Iqbal MJ, Yang JY, Lightfoot DA. A computational approach to understand Arabidopsis thaliana and soybean resistance to Fusarium solani (Fsg). In Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE. 2007. p. 585-592. 4375620. (Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE). https://doi.org/10.1109/BIBE.2007.4375620