ArticleiScience2021
Functional physiological phenotyping with functional mapping: A general framework to bridge the phenotype-genotype gap in plant physiology.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- From phenomics to post-phenomics: Multidisciplinary integration driving autonomous agricultural systems.Plant communications · 2026Article
- A panomics-driven framework for the improvement of major food legume crops: advances, challenges, and future prospects.Horticulture research · 2025Article
- A mathematical framework for the quantitative analysis of genetic buffering.PLoS genetics · 2025Article
- Converging functional phenotyping with systems mapping to illuminate the genotype-phenotype associations.Horticulture research · 2024Article
- Three-Dimensional Phenotyping Pipeline of Potted Plants Based on Neural Radiation Fields and Path Segmentation.Plants (Basel, Switzerland) · 2024Article
- Veterinary systems biology for bridging the phenotype-genotype gap via computational modeling for disease epidemiology and animal welfare.Briefings in bioinformatics · 2024Review
- Using chlorophyll fluorescence parameters and antioxidant enzyme activity to assess drought tolerance of spring wheat.Photosynthetica · 2024Article
- Dynamic physiological response of tef to contrasting water availabilities.Frontiers in plant science · 2024Article
- Understanding water conservation vs. profligation traits in vegetable legumes through a physio-transcriptomic-functional approach.Horticulture research · 2023Article
- Editorial: Improvement for Quality and Safety Traits in Horticultural Plants.Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent years have witnessed the emergence of high-throughput phenotyping techniques. In particular, these techniques can characterize a comprehensive landscape of physiological traits of plants responding to dynamic changes in the environment. These innovations, along with the next-generation genomic technologies, have brought plant science into the big-data era. However, a general framework that links multifaceted physiological traits to DNA variants is still lacking. Here, we developed a general framework that integrates functional physiological phenotyping (FPP) with functional mapping (FM). This integration, implemented with high-dimensional statistical reasoning, can aid in our understanding of how genotype is translated toward phenotype. As a demonstration of method, we implemented the transpiration and soil-plant-atmosphere measurements of a tomato introgression line population into the FPP-FM framework, facilitating the identification of quantitative trait loci (QTLs) that mediate the spatiotemporal change of transpiration rate and the test of how these QTLs control, through their interaction networks, phenotypic plasticity under drought stress.
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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.