<｜begin▁of▁sentence｜>### Instruction:
Imagine you're investigating the lineage of two separate genealogical trees of unique species, where T1 represents one evolutionary pathway with interactions [(1, 2), (2, 3)] and T2 represents another with interactions [(4, 5), (5, 6)]. As a molecular biologist, you're interested in hypothesizing a common ancestor that would serve as a new root connecting these distinct genetic lineages. How might you structure a hypothetical phylogenetic tree to represent the merging of these two trees at a single progenitor node? This scenario would be documented in a dataset for further analysis, possibly involving computational tools such as NetworkX to model the interconnected paths of descent.
### Response:
import networkx as nx

# Create two separate trees
T1 = nx.Graph()
T1.add_edges_from([(1, 2), (2, 3)])
T2 = nx.Graph()
T2.add_edges_from([(4, 5), (5, 6)])

# Join the trees by creating a new node (0) that connects to the roots of T1 and T2
T3 = nx.join_trees([T1, T2], root=0)

print('Nodes:', T3.nodes())
print('Edges:', T3.edges())
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