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From single genes to co-expression networks: extracting knowledge from barley functional genomics
被引:27
作者:
Faccioli, P
Provero, P
Herrmann, C
Stanca, AM
Morcia, C
Terzi, V
机构:
[1] CRA, Ist Sperimentale Cerealicoltura, I-29017 Fiorenzuola dArda, PC, Italy
[2] Univ Turin, Dipartimento Genet Biol & Biochim, I-10100 Turin, Italy
[3] Univ Mediterranee, CNRS, INSERM, IBDM,Lab Genet & Physiol Dev, F-13288 Marseille, France
关键词:
barley;
co-expression networks;
functional genomics;
Systems Biology;
D O I:
10.1007/s11103-005-8159-7
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
The paper reports an 'in silico' approach to gene expression analysis based on a barley gene co-expression network resulting from the study of several publicly available cDNA libraries. The work is an application of Systems Biology to plant science: at the end of the computational step we identified groups of potentially related genes. The communities of co-expressed genes constructed from the network are remarkably characterized from the functional point of view, as shown by the statistical analysis of the Gene Ontology annotations of their members. Experimental, lab-based testing has been carried out to check the relationship between network and biological properties and to identify and suggest effective strategies of information extraction from the network-derived data.
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页码:739 / 750
页数:12
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