Tempo and Mode of Diversification in Plant Evolution
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Molecular Biology".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 1167
Special Issue Editors
Interests: molecular systematics; Iridaceae; Poaceae; plant evolution; plant conservation
Interests: population genetics and genomics; phylogeography; molecular ecology; plant evolution and conservation
Interests: molecular systematics; phylogenomics; biogeography; macroevolution; taxonomy
Special Issue Information
Dear Colleagues,
In the last few years, omics approaches in plant evolution have enabled a comprehensive analysis of genomes, transcriptomes, proteomes, and metabolomes, yielding significant insights into the genetic and molecular mechanisms that drive evolutionary adaptations and diversification in plant species. High-throughput omics approaches have been adopted to reconstruct phylogenetic trees and to study relationships at the intraspecific level in plants. The ultimate goal when using the large datasets obtained with these technologies is to estimate relationships at different taxonomic levels, not only with good support, but with information from different genomic regions. The availability of universal genomic probe sets has made target sequencing capture a promising approach for macroevolution studies, while the restriction-site associated DNA sequencing technique has been revolutionizing species-level studies. Classifications of major plant lineages are being revisited through the light of genomic data, while this information gives the opportunity to bring new insights into the patterns of diversification and distribution of different groups. High-quality information on plant diversity is extremely important for the conservation and policy-making of the world flora. In addition to the importance of obtaining genomic data, biogeographic and ecological evidence has provided a better understanding of the evolution of plant lineages.
This Special Issue aims to unite articles that make use of omics tools to investigate plant diversification at macro and micro scales and use integrative analyses to understand tempo and mode of species distribution, evolution of morphological characters and other taxonomic traits, such as cytology, genome size, anatomy, biochemistry, ecology, etc.
Prof. Dr. Tatiana Teixeira de Sousa-Chies
Prof. Dr. Caroline Turchetto
Prof. Dr. Verônica Aydos Thode
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Plants is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- diversity
- diversification
- distribution
- biogeography
- biodiversity
- conservation
- climate change
- population genomics
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