MetwareBio will attend the 2026 ASHS Annual Conference in Dallas, Texas, from August 3–7, 2026. The meeting brings together researchers, scientists, industry professionals, academic teams, government groups, and students to share advances in horticultural science and specialty crop research. If you are attending ASHS 2026, we welcome you to connect with MetwareBio to discuss how plant metabolomics, proteomics, lipidomics, spatial metabolomics, and multi-omics analysis can support research in crop quality, stress physiology, postharvest biology, plant metabolism, functional genomics, and trait-focused horticultural studies. You are also invited to attend Bobby Wei’s 15-minute Hort Theater presentation on integrating metabolomics and proteomics for plant research.
| Event | 2026 ASHS Annual Conference |
|---|---|
| Theme | Growing Collaboration, Growing Horticulture |
| Date | August 3–7, 2026 |
| Location | Hyatt Regency Dallas, Dallas, Texas, USA |
| Hort Theater Presentation | Bridging Metabolomics and Proteomics for Plant Research |
| Speaker | Bobby Wei |
| Presentation Time | Tuesday, August 4, 11:30–11:45 a.m. |
Attend Bobby Wei's Hort Theater Presentation
As part of ASHS 2026, Bobby Wei will present “Bridging Metabolomics and Proteomics for Plant Research” in the Hort Theater on Tuesday, August 4, from 11:30 to 11:45 a.m. This short presentation will introduce how integrated metabolomics and proteomics approaches can provide complementary molecular insights into plant metabolism, stress responses, trait development, and functional pathway interpretation.
The session is designed for researchers who want to better connect molecular profiling with biological questions. By combining metabolite-level readouts with protein-level information, plant scientists can gain a more complete view of pathway activity, stress adaptation, phenotype formation, and candidate mechanisms for downstream validation. If you are planning a plant omics project, this presentation is a practical starting point for thinking about study design and data interpretation.
Why Horticultural Research Benefits from Multi-Omics
Horticultural traits are shaped by many connected biological layers. Gene regulation, protein abundance, enzyme activity, metabolite accumulation, lipid remodeling, phytohormone signaling, tissue-specific molecular patterns, and environmental interactions can all influence plant growth, stress response, fruit development, postharvest quality, nutritional value, and market-relevant crop traits.
Multi-omics is valuable because it helps researchers move from isolated molecular changes toward clearer biological interpretation. A transcript or protein change in a stress-response pathway becomes more informative when paired with metabolite, lipid, or phytohormone data. Spatial metabolomics can add tissue context by showing where metabolites and lipids are distributed across roots, leaves, fruits, seeds, or other plant structures. For horticultural researchers, the goal is not simply to generate more data, but to connect molecular readouts with meaningful phenotypes and better experimental decisions.
Horticulture Research Questions MetwareBio Can Help Address
Crop Quality, Flavor, and Nutritional Traits
Crop quality often depends on measurable biochemical traits, including sugars, organic acids, amino acids, flavonoids, pigments, lipids, aroma-related compounds, and specialized metabolites. Plant metabolomics and lipidomics can help researchers compare cultivars, treatments, tissues, or developmental stages to identify molecular patterns associated with quality, flavor, nutritional composition, and trait improvement.
Stress Physiology and Environmental Adaptation
Drought, heat, salinity, nutrient limitation, pathogen pressure, and postharvest stress can trigger coordinated changes across proteins, metabolites, lipids, and signaling pathways. Omics approaches can support studies comparing control versus stress-treated plants, tolerant versus sensitive lines, or different time points after stress exposure. Integrated analysis can help prioritize pathways related to osmotic adjustment, antioxidant response, membrane adaptation, hormone signaling, and defense metabolism.
Fruit Development, Seed Biology, and Postharvest Research
Fruit, seed, and postharvest studies often require a time-resolved view of molecular change. Metabolomics can reveal developmental transitions, ripening-related biochemical shifts, storage-associated changes, and quality-related metabolic signatures. Proteomics and multi-omics analysis can further help connect these biochemical patterns with regulatory pathways and biological phenotypes.
Functional Genomics and Trait-Focused Studies
For researchers studying gene function, breeding materials, or trait variation, molecular profiling can help connect genetic or treatment differences with biochemical consequences. Proteomics, metabolomics, lipidomics, and multi-omics analysis can support interpretation of how candidate genes, pathways, or interventions influence measurable plant traits.
Spatial Molecular Patterns in Plant Tissues
Many horticultural traits are spatially organized. Roots, leaves, flowers, fruits, seeds, stems, and reproductive tissues can contain localized molecular gradients and tissue-specific metabolic patterns. Spatial metabolomics can help researchers examine the distribution of metabolites and lipids within plant tissues, adding location-based context that bulk profiling may not capture.
Which Omics Technology Fits Your ASHS Research Question?
| Research Goal | Useful Omics Approach | What It Can Help Reveal |
|---|---|---|
| Improve crop quality and nutritional traits | Plant metabolomics; lipidomics | Flavor-related metabolites, nutritional composition, lipid remodeling, and trait-associated pathways |
| Study abiotic or biotic stress response | Proteomics + metabolomics + lipidomics | Stress-regulated proteins, osmotic adjustment, antioxidant response, hormone signaling, and membrane adaptation |
| Investigate fruit, seed, or postharvest biology | Metabolomics + targeted panels + multi-omics analysis | Developmental transitions, storage-related metabolic shifts, ripening, and postharvest quality changes |
| Connect gene function with biochemical phenotypes | Proteomics + metabolomics + multi-omics analysis | Pathway-level interpretation linking gene function, proteins, metabolites, and phenotypes |
| Map tissue-level molecular variation | Spatial metabolomics | Metabolite and lipid distributions across roots, leaves, fruits, seeds, and other plant tissues |
Selected Horticulture and Plant Omics Publications
MetwareBio technologies have supported plant and horticulture-related studies across fruit development, crop quality, germplasm utilization, nutritional improvement, specialized metabolism, and plant phenotype interpretation. These selected publications show how metabolomics, phytohormone analysis, genome-informed interpretation, and multi-omics strategies can help researchers connect molecular profiles with horticultural traits and biological questions.
| Year | Journal | Title | Crop / System |
|---|---|---|---|
| 2025 | BMC Plant Biology | Growth regulation during early fruit development in apple: a temporal event map of transcriptome and phytohormone changes | Apple |
| 2025 | Journal of the American Society for Horticultural Science | Fruit and seed metabolomic profiles provide insights into the utilization of sour jujube germplasm | Sour jujube |
| 2024 | New Phytologist | In a nutshell pistachio genome and kernel development | Pistachio |
| 2024 | Plants | Spatio-temporal dynamics of lettuce metabolome: a framework for targeted nutritional quality improvement | Lettuce |
Connect with MetwareBio at ASHS 2026
If you are attending the 2026 ASHS Annual Conference, we invite you to meet MetwareBio in Dallas and discuss your plant research questions, sample types, study design, and omics strategy. Whether you are exploring crop quality, stress physiology, postharvest biology, fruit development, phytohormone signaling, spatial tissue patterns, or multi-omics data integration, our team can help you think through a practical research workflow.
You can also attend Bobby Wei’s Hort Theater presentation, “Bridging Metabolomics and Proteomics for Plant Research,” on Tuesday, August 4, from 11:30 to 11:45 a.m. Bring your research question, sample plan, or early-stage study idea, and connect with MetwareBio to explore how plant metabolomics, proteomics, lipidomics, spatial metabolomics, and multi-omics analysis may help turn molecular data into horticultural insight.
FAQ: Plant Omics and the 2026 ASHS Annual Conference
When is Bobby Wei’s Hort Theater presentation at ASHS 2026?
Bobby Wei’s 15-minute Hort Theater presentation is scheduled for Tuesday, August 4, from 11:30 to 11:45 a.m. The presentation title is “Bridging Metabolomics and Proteomics for Plant Research,” and it will focus on how integrated omics approaches can support plant metabolism, stress response, trait development, and pathway interpretation.
What can I discuss with MetwareBio at ASHS 2026?
You can discuss plant research questions, sample types, study design, omics technology selection, and data interpretation strategies. Common topics include crop quality, stress response, postharvest biology, fruit development, phytohormone analysis, spatial metabolomics, and multi-omics integration.
Which omics technology is most useful for crop quality research?
Metabolomics is often central for crop quality research because it measures small molecules related to flavor, nutrition, pigmentation, aroma, and specialized metabolism. Depending on the question, lipidomics, proteomics, targeted metabolomics, or multi-omics analysis may provide complementary information.
How can multi-omics support horticultural stress studies?
Multi-omics can support horticultural stress studies by connecting protein regulation, metabolite changes, lipid remodeling, hormone signaling, and phenotypic responses. This can help researchers identify candidate pathways involved in stress tolerance, sensitivity, adaptation, or treatment response.
When should researchers consider spatial metabolomics for plant samples?
Spatial metabolomics is useful when tissue location matters. It can help researchers examine where metabolites and lipids are distributed across roots, leaves, fruits, seeds, flowers, stems, or other plant tissues, providing spatial context that bulk profiling may not capture.
Read More
Explore these related articles on plant multi-omics, horticultural research, and spatial metabolomics to learn how integrated omics approaches can support your horticultural science projects.
Discover how combining proteomics and metabolomics drives agricultural innovation, from crop quality improvement to stress response characterization.
A case study showing how multi-omics integration reveals color development, stress tolerance, and fruit development in tomato, applicable to horticultural crop research.
A practical guide to protein extraction methods for plant tissues, essential for horticultural proteomics studies on fruit, leaf, root, and seed samples.
Learn how spatial metabolomics resolution affects plant tissue imaging, relevant for mapping metabolite distributions in fruits, seeds, and other horticultural tissues.
Understand drought stress responses through combined transcriptome and metabolome analysis, supporting horticultural stress physiology and adaptation research.
An overview of specialized metabolite detection methods for plant research, covering flavonoids, phenolics, and other quality-relevant compounds in horticultural crops.