Multi-Omics-Driven Breeding for Tropical Horticultural Crops
A special issue of Horticulturae (ISSN 2311-7524). This special issue belongs to the section "Genetics, Genomics, Breeding, and Biotechnology (G2B2)".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 1079
Special Issue Editors
Interests: metabolomics; genomics; phenomics; plant multi-omics database
Interests: molecular genetics; molecular population genetics; genomics; multiomics
Special Issue Information
Dear Colleagues,
Tropical plants are predominantly found in regions such as Southeast Asia, South Asia, the Amazon River Basin in South America, and the Congo River Basin in Africa, with the total number of species estimated to reach up to 200,000. These plants are characterized by their irreplaceability, high species diversity, and scarcity, making them highly sought after across various countries, which in turn drives robust market demand and a promising industrial outlook.
However, in comparison to plants from other regions, research utilizing multi-omics approaches on tropical plants remains relatively underdeveloped, with many tropical species still lacking corresponding genomic data and comprehensive analyses of key metabolites or traits. To address this gap and promote further research on tropical plants, we have organized a special issue titled "Multi-Omics-Driven Breeding for Tropical Horticultural Crops".
This Research Topic aims to collect various omics data of tropical plants, including the genomes, transcriptomes, metabolomes, and proteomes, as well as the latest research advancements related to relevant databases and omics analysis tools. We also welcome submissions of original research and review articles, including but not limited to studies on the following topics:
Including
- The deciphering of tropical plant genomes.
- Tropical plant genome databases and omics analysis tools.
- Analysis of important traits of tropical plants based on comparative genomics.
- Transcriptome, metabolome and other multi-omics joint analysis mining tropical plant gene functions.
Dr. Zhuang Yang
Dr. Pengfei Wang
Prof. Dr. Zhiqiang Xia
Guest Editors
Manuscript Submission Information
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Keywords
- tropical plant
- genome
- multi-omics
- databases
- analysis tools
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