Collection 

Genomics data for plant ecology, conservation and agriculture

Submission status
Closed
Submission deadline

Genomics and transcriptomics data can support a myriad of research questions in ecology, sustainability, and agriculture with data collected via primary acquisition, updated or curated from existing datasets. This Collection presents a series of articles describing genomics, transcriptomics, metagenomics, or datasets related to plant sciences or plants of ecological or agricultural interest. The Collection will also include all types of data in advanced and developed genomics and transcriptomics research areas. Data are presented without significant analyses to support areas such as taxonomic classification, phenomics, gene adaption, crop science, polyploidy, and other topics within plant sciences and agriculture. Descriptions of data on pests and pathogens of wild or domesticated plant species will also be considered.

golden wheat field

Editors

  • Seungill Kim

    University of Seoul, Republic of Korea

  • Yong-Min Kim

    Korea Research Institute of Bioscience and Biotechnology, Republic of Korea

  • Seon-In Yeom

    Gyeongsang National University, Republic of Korea

Seungill Kim is an Assistant Professor at the Department of Environmental Horticulture, University of Seoul, Republic of Korea. His research is mainly focused on the field of plant genomics. Specifically, his major interests are i) evolution and adaptation of agricultural trait-related genes, ii) development of assembly and annotation update pipeline and iii) identification of trait-related genes or variations based on machine learning approaches.

 

 

Yong-Min Kim is a Senior Researcher at the Plant Systems Research Engineering Center, Korea Research Institute of Bioscience and Biotechnology, Republic of Korea. His major research topics are: constructing reference genomes of polyploidy plants, population studies using genome resequencing, evolution of gene families and construction of Prometheus supporting comparative genomics. Recently, he has been working on developments of deep learning-based genomics and phenomics analysis programs.

 

 

Seon-In Yeom is an Associate Professor at the Division of Applied Life Science, Gyeongsang National University. His research focuses include functional characterization related to environmental stress response and adaptation based on plant genomic and transcriptomics areas. He is interested in revealing key factors in plant-biotic or abiotic interactions to apply in agriculture and their determining gene function. Dr Yeom has been an Editorial Board Member for Scientific Data since 2022.