Analysis of Metabolic Pathway Topologies
Author Information
Author(s): Zhang Yong, Li Shaojuan, Skogerbø Geir, Zhang Zhihua, Zhu Xiaopeng, Zhang Zefeng, Sun Shiwei, Lu Hongchao, Shi Baochen, Chen Runsheng
Primary Institution: Institute of Biophysics, Chinese Academy of Sciences
Hypothesis
The study aims to measure the 'phylophenetic' contents of different metabolic pathway topologies from a global perspective.
Conclusion
The topology of different metabolic pathways provides varying phylogenetic and phenetic information, indicating evolutionary pressures on metabolic structures.
Supporting Evidence
- The comprehensive tree showed higher similarity to the 16S rRNA-based tree than any single pathway tree.
- The study found that nearly 90% of the pathways had a similarity value of more than 0.1 when compared to 16S rRNA-based trees.
- The phylogenetic information content of the comprehensive tree is substantially higher than that of any tree based on a single pathway.
Takeaway
This study looks at how the shapes of metabolic pathways in different organisms can tell us about their evolution and how they adapt to their environments.
Methodology
The study reconstructed phylophenetic trees for metabolic pathways based on topological similarities and compared them to 16S rRNA-based trees.
Limitations
The study could not show how modified pathways help organisms adapt to specific environments and may be affected by errors in KEGG pathway maps or enzyme annotations.
Participant Demographics
The study included 184 fully sequenced organisms, comprising 19 archaea, 152 bacteria, and 13 eukarya.
Digital Object Identifier (DOI)
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