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Abstract The chloroplast (cp) genome is a widely used tool for exploring plant evolutionary relationships, yet its effectiveness in fully resolving these relationships remains uncertain. Integrating cp genome data with nuclear DNA information offers a more comprehensive view but often requires separate datasets.
Abstract The chloroplast (cp) genome is a widely used tool for exploring plant evolutionary relationships, yet its effectiveness in fully resolving these relationships remains uncertain. Integrating cp genome data with nuclear DNA information offers a more comprehensive view but often requires separate datasets. Nuclear DNA analyses are hindered by the need for high-quality sequences and high costs.
Abstract The chloroplast (cp) genome sequence, which is a widely used and affordable tool, is utilized for plant classification. However, its effectiveness remains unclear. This study contrasts the phylogenetics derived from whole cp genome sequences with those obtained using Read2Tree, another cost-efficient method capable of extracting multiple conserved nuclear gene sequences.
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