ReviewPlant biotechnology journal2020
PANOMICS meets germplasm.
Review in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
72 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning for multi-omics data integration in crop improvement: a systematic review.BMC bioinformatics · 2026Pooled it
- Melatonin-enabled omics: understanding plant responses to single and combined abiotic stresses for climate-smart agriculture.GM crops & food · 2026Review
- Advances in causal discovery methods for ecological time series.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Deciphering Cold Stress Resilience: Multiomics Insights in Contrasting Wheat Genotypes From the Western Himalayas.Plant biotechnology journal · 2026Article
- Revolutionizing drug discovery from natural products: The roles of artificial intelligence and multi-omics in accelerating innovation.Acta pharmaceutica Sinica. B · 2026Article
- Beyond Data: Artificial intelligence, knowledge graphs, and the next revolution in wheat breeding.Plant communications · 2026Review
- Clusia genomes shed light on the evolution and diversity of crassulacean acid metabolism physiotypes.Nature communications · 2026Article
- Machine learning-based prediction of dynamic heterosis for plant height with pathway biomarkers in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Photo-Oxidative Stress in Plants: ROS Signaling, Damage Propagation, and Systems-Level Resilience.Antioxidants (Basel, Switzerland) · 2026Review
- Kernel-DMD for multiome data integration and control.PLoS computational biology · 2026Article
- Protein Extraction Protocol for Legumes Compatible with Detergent: Gel Fractionation and Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Harnessing the untapped genetic diversity of local landraces: omics technologies as a gateway to horticultural breeding.Frontiers in plant science · 2026Review
- Genome-Wide, High-Density Genotyping Approaches for Plant Germplasm Characterisation (Methods and Applications).International journal of molecular sciences · 2025Review
- Natural variation of the wheat root exudate metabolome and its influence on biological nitrification inhibition activity.Plant biotechnology journal · 2025Article
- Molecular Docking as a Key Driver of Biocontrol for Agri-Food Security.Biotech (Basel (Switzerland)) · 2025Review
- Establishment and phenotypic characterization of genetically diverse core collections of Lupinus albus.BMC plant biology · 2025Article
- Integrating multiomics and modern breeding tools for accelerating genetic improvement in Annonas.Functional & integrative genomics · 2025Review
- A panomics-driven framework for the improvement of major food legume crops: advances, challenges, and future prospects.Horticulture research · 2025Article
- Heat stress-induced sterility in oilseed crops: a focus on Brassica napus.Molecular biology reports · 2025Review
- Pan-omics insights into abiotic stress responses: bridging functional genomics and precision crop breeding.Functional & integrative genomics · 2025Review
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Genotyping-by-sequencing has enabled approaches for genomic selection to improve yield, stress resistance and nutritional value. More and more resource studies are emerging providing 1000 and more genotypes and millions of SNPs for one species covering a hitherto inaccessible intraspecific genetic variation. The larger the databases are growing, the better statistical approaches for genomic selection will be available. However, there are clear limitations on the statistical but also on the biological part. Intraspecific genetic variation is able to explain a high proportion of the phenotypes, but a large part of phenotypic plasticity also stems from environmentally driven transcriptional, post-transcriptional, translational, post-translational, epigenetic and metabolic regulation. Moreover, regulation of the same gene can have different phenotypic outputs in different environments. Consequently, to explain and understand environment-dependent phenotypic plasticity based on the available genotype variation we have to integrate the analysis of further molecular levels reflecting the complete information flow from the gene to metabolism to phenotype. Interestingly, metabolomics platforms are already more cost-effective than NGS platforms and are decisive for the prediction of nutritional value or stress resistance. Here, we propose three fundamental pillars for future breeding strategies in the framework of Green Systems Biology: (i) combining genome selection with environment-dependent PANOMICS analysis and deep learning to improve prediction accuracy for marker-dependent trait performance; (ii) PANOMICS resolution at subtissue, cellular and subcellular level provides information about fundamental functions of selected markers; (iii) combining PANOMICS with genome editing and speed breeding tools to accelerate and enhance large-scale functional validation of trait-specific precision breeding.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.