ReviewThe plant genome2021
Systems biology for crop improvement.
Review in The plant genome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses 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
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Multi-omics revolution to promote plant breeding efficiency.Frontiers in plant science · 2022Pooled it
- Mainstreaming orphan millets for advancing climate smart agriculture to secure nutrition and health.Frontiers in plant science · 2022Pooled it
- Transcriptional networks shaping malting quality in barley: From grain development to brewing performance.Food chemistry. Molecular sciences · 2026Review
- Decoding plant physiology through systems biology: Integrative multi-omics and computational perspectives for next-generation crop design.Plant communications · 2026Review
- Evaluation of forage oat cultivars for alpine saline-alkaline environments: Trade-offs between yield, quality and stability.PloS one · 2026Article
- Advancements in photosynthetic efficiency: Pathways, regulation, and biotechnological applications for enhancing crop productivity.Plant signaling & behavior · 2025Review
- A Forward Genetics Strategy for High-Throughput Gene Identification via Precise Image-Based Phenotyping of an Indexed EMS Mutant Library.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Interspecies predictions of growth traits from quantitative transcriptome data acquired during fruit development.Journal of experimental botany · 2025Article
- Integrating multi-omic data to identify key genes and pathways involved in rice bacterial leaf streak disease.Scientific reports · 2025Article
- New insights in metabolism modelling to decipher plant-microbe interactions.The New phytologist · 2025Review
- Elucidating the Secondary Metabolite Biosynthesis Networks in Underutilized Tree Bean (Parkia timoriana) Through Integrated Metabolomic and Transcriptomic Approaches.Applied biochemistry and biotechnology · 2025Article
- Harnessing Multi-Omics Strategies and Bioinformatics Innovations for Advancing Soybean Improvement: A Comprehensive Review.Plants (Basel, Switzerland) · 2024Review
- Fungal Disease Tolerance with a Focus on Wheat: A Review.Journal of fungi (Basel, Switzerland) · 2024Review
- Transcriptomics, proteomics, and metabolomics interventions prompt crop improvement against metal(loid) toxicity.Plant cell reports · 2024Review
- An Integrated Approach for Biofortification of Carotenoids in Cowpea for Human Nutrition and Health.Plants (Basel, Switzerland) · 2024Review
- BpGRP1 acts downstream of BpmiR396c/BpGRF3 to confer salt tolerance in Betula platyphylla.Plant biotechnology journal · 2024Article
- How far can omics go in unveiling the mechanisms of floral senescence?Biochemical Society transactions · 2023Article
- Review
- Analysis of companion cell and phloem metabolism using a transcriptome-guided model of Arabidopsis metabolism.Plant physiology · 2023Article
- Article
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
No grant is acknowledged in the PubMed record.
Abstract
In recent years, generation of large-scale data from genome, transcriptome, proteome, metabolome, epigenome, and others, has become routine in several plant species. Most of these datasets in different crop species, however, were studied independently and as a result, full insight could not be gained on the molecular basis of complex traits and biological networks. A systems biology approach involving integration of multiple omics data, modeling, and prediction of the cellular functions is required to understand the flow of biological information that underlies complex traits. In this context, systems biology with multiomics data integration is crucial and allows a holistic understanding of the dynamic system with the different levels of biological organization interacting with external environment for a phenotypic expression. Here, we present recent progress made in the area of various omics studies-integrative and systems biology approaches with a special focus on application to crop improvement. We have also discussed the challenges and opportunities in multiomics data integration, modeling, and understanding of the biology of complex traits underpinning yield and stress tolerance in major cereals and legumes.
Indexed as
Identifiers
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.