Abstract
This study is an example of collaborative faculty-student scholarship: the students are first authors, the faculty last (i.e., supervising) author. It describes the results of a large data mining study in which more than 200 plant plastid genomes were analyzed. The results of this study indicate that the quality of plant plastid genome data often depends on how evenly and deeply the DNA was sequenced, which is influenced by the type of genome and laboratory methods employed.
Document Type
Article
Source Publication
Scientific Reports
Version
Published Version
Publication Date
7-19-2025
Volume
15
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
The Author(s)
Recommended Citation
Jenke, N., Smith, G.M., Magar, B.T. et al. Variation of and associations with the depth and evenness of sequencing coverage in archived plastid genomes. Sci Rep 15, 26294 (2025). https://doi.org/10.1038/s41598-025-11568-9
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