TY - GEN
T1 - PFGD
T2 - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
AU - Si, Jingna
AU - Cheng, Jin
AU - Wu, Rongling
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/29
Y1 - 2014/12/29
N2 - As the model species for woody plants, the poplar has excellent experimental properties. The studies of functional genes make up the foundation of improving genetic traits and cultivating elite lines at the molecular level. Although studies of functional genes have been carried out for many years, plenty of experimental data are still scattered across documents and are not unified by a comprehensive statistical analysis, Consequentially, the disjoint in information severely hinders systematic utilization of the accumulated data. This problem can be solved through the use of bioinformatic methodology and technology to gather and organize data to construct this Poplar Functional Gene Database (PFGD). By complining information from an array of studies, this study collected 207 poplar functional genes. 164 of the collected genes, selected for their detailed annotations, were input into Populus Database (http://ccb.bjfu.edu.cn/app/pfgd/). Many important stress genes were located in the database. As an example, we investigate the target genes function of Populus euphratica in response to salt stress. Two small cDNA libraries from P. euphratica plantlets treated with or without salt (300 mM NaCl, 3 days) in the root. Using high-throughput sequencing to identify miRNAs, we found 179 conserved miRNAs and 62 novel miRNAs which have differential expression. After the detailed analysis of these miRNAs, 1254 target genes from conserved miRNAs and 479 target genes from novel miRNAs were predicted, and functional information was annotated using the Gene Ontology databases. These information provides a primary visual field for understanding the gene regulatory network in response to salt stress in Populus.
AB - As the model species for woody plants, the poplar has excellent experimental properties. The studies of functional genes make up the foundation of improving genetic traits and cultivating elite lines at the molecular level. Although studies of functional genes have been carried out for many years, plenty of experimental data are still scattered across documents and are not unified by a comprehensive statistical analysis, Consequentially, the disjoint in information severely hinders systematic utilization of the accumulated data. This problem can be solved through the use of bioinformatic methodology and technology to gather and organize data to construct this Poplar Functional Gene Database (PFGD). By complining information from an array of studies, this study collected 207 poplar functional genes. 164 of the collected genes, selected for their detailed annotations, were input into Populus Database (http://ccb.bjfu.edu.cn/app/pfgd/). Many important stress genes were located in the database. As an example, we investigate the target genes function of Populus euphratica in response to salt stress. Two small cDNA libraries from P. euphratica plantlets treated with or without salt (300 mM NaCl, 3 days) in the root. Using high-throughput sequencing to identify miRNAs, we found 179 conserved miRNAs and 62 novel miRNAs which have differential expression. After the detailed analysis of these miRNAs, 1254 target genes from conserved miRNAs and 479 target genes from novel miRNAs were predicted, and functional information was annotated using the Gene Ontology databases. These information provides a primary visual field for understanding the gene regulatory network in response to salt stress in Populus.
UR - http://www.scopus.com/inward/record.url?scp=84922817760&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84922817760&partnerID=8YFLogxK
U2 - 10.1109/BIBM.2014.6999298
DO - 10.1109/BIBM.2014.6999298
M3 - Conference contribution
AN - SCOPUS:84922817760
T3 - Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
SP - 18
EP - 22
BT - Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
A2 - Zheng, Huiru
A2 - Hu, Xiaohua Tony
A2 - Berrar, Daniel
A2 - Wang, Yadong
A2 - Dubitzky, Werner
A2 - Hao, Jin-Kao
A2 - Cho, Kwang-Hyun
A2 - Gilbert, David
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 November 2014 through 5 November 2014
ER -