About this Research Topic
Various “omics” approaches are being currently applied not only to laboratory studies but also to field studies in agricultural science, ecology, and evolutionary biology. Omics is a powerful tool that can tackle the analysis of attractive traits in non-model plants. Even in model plants, responses at the molecular level under complex field environments is still veiled. Omics approaches, e.g. genomics, epigenomics, transcriptomics, proteomics, metabolomics, ionomics, phenomics, metagenomics, and viromics, provide valuable insights, revealing the lives of wild plants in natural habitats and domesticated plants in agricultural fields.
Integration of laboratory and field studies is a long-standing challenge to understanding plant systems, but there still is a big divide between laboratory and field studies. Omics is one of the promising tools to cope with this divide. Advances in omics technologies and progression in accumulation of omics datasets are leading breakthroughs in various areas of field studies. For example, statistical analysis using massive time-series transcriptome data in field and corresponding meteorological data have revealed how weather affects expressions of individual genes under complex natural environments. Genome sequences of hundreds or thousands of lines and high-throughput genome-wide genotyping technologies have enabled us to study population structure and evolutionary history of wild species and to perform genome-wide association study (GWAS) and genomic selection in crops. Genome sequencing, especially using long-read sequencers, and functional genomic technologies has cleared the way for revealing the molecular basis of fascinating traits in non-model plants, from algae to angiosperms.
The aim of this Research Topic is to drive these field-related omics studies for establishing a comprehensive understanding of plants from the laboratory to the field. Omics data collected in the field are not essential. Studies focusing on field-oriented laboratory studies will be considered. We welcome the submission of Original Research, Brief Case Report, Reviews, Mini- Review and other article types falling under, but not limited to:
- Field omics: integrative analysis of omics data and meteorological data
- Field-oriented laboratory study using omics, e.g. ambient temperature responses, fluctuating light responses
- EvoDevo study using omics
- Population genomics
- GWAS and genomic selection
Comparative transcriptomic analyses or descriptive studies will not be considered for review unless they are extended to provide meaningful insights into gene/protein function and/or the biology of plants.
Keywords: Transcriptomics, Genomics, Metabolomics, GWAS, Genomic selection
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