Molecular Phylogenetics
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Systematics, Taxonomy, Nomenclature and Classification".
Deadline for manuscript submissions: closed (30 August 2019) | Viewed by 9355
Special Issue Editors
Interests: gene function and evolution; bioinformatics; genome biology; comparative genomics; microbiome; molecular phylogenetics; next-generation sequencing; RNA-seq analysis; correlation network analysis; DNA barcoding
Special Issue Information
Dear Colleagues,
Plants originated from algae, came ashore as liverworts and mosses, and then evolved as vascular plants, which includes gymnosperms and angiosperms. To construct the phylogenetic tree of plants along with their speciation, in these decades, molecular-based approaches have been performed, such as the APG system.
For the construction of the phylogenetic tree of plants, particular genes that exist in the most plants are used, e.g., small subunits of ribosomal DNA (16S or 18S rDNA) and internal transcribed spacers (ITS) of ribosomal DNA, cytochrome oxidase 1 (CO1), ribulose-1,5-bisphosphate carboxylase/oxygenase (rbcL), and maturase K (matK). Recent reports on the evolution of plant genes has showed that the genes evolved with more or less divergence from the speciation. It is surely expected that the number of such reports will increase because next-generation sequencers have been used in various fields of plant science.
Therefore, this Special Issue will publish articles (original research papers, perspectives, hypotheses, opinions, reviews, modeling approaches, and methods) that focus on molecular phylogenetics in plants and the evolution and diversity of plant genes. Studies of whole plants, model plants, crop plants, trees, aquatic plants, and native species are most welcome.
Dr. Yoshiyuki Ogata
Prof. Dr. Akira Nagatani
Guest Editors
Manuscript Submission Information
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Keywords
- phylogenetics
- phylogenetic tree
- genome evolution
- phylogenetic diversity
- speciation
- evolution and gene function
- comparative genomics
