Plant phenotypic analysis is a key link in understanding plant gene functions and environmental effects. With the advancement of plant functional genomics and crop molecular breeding research, traditional plant phenotypic analysis is small in scale (involving few samples and trait categories), low in efficiency (largely manual), high in error (difficult to exclude human and environmental interference), and weak inapplicability (difficult to cross-species reference analysis methods and data), This has become a major bottleneck to its development. The high-throughput plant phenome analysis technology and plant phenomics research are effective ways to solve this dilemma.

What We Offer

The plant phenome is determined or influenced by genomic and environmental factors and reflects all physical, physiological, and biochemical characteristics and traits of plant structure and composition, plant growth and development processes, and outcomes. Based on the characteristics of plant phenome, Lifeasible has analyzed plant phenomics at different levels and from different perspectives and established a professional analysis platform with linkage.

Levels	Categories
Gene level	Characteristics of DNA or RNA such as SNP and molecular marker.
Transcriptional level	Characteristics of chromatin or transcription such as DNA methylation and histone modification.
Biochemistry level	Characteristics of protein or metabolites such as metabolism regulation, protein marker, and   functional component.
Physiology and development level	Development or physiology characteristics such as photoperiod, photosynthetic efficiency and   growth dynamic.
Morphology and anatomy level	Morphology or anatomy characteristics of organ, tissue, cell, and subcellar, such as plant type,   leaf area, index of decease infection and grain weight.
Ultimate trait level	Property or function of plant such as drought resistance, disease resistance, and high yielding ability.

We provide plant phenomics analysis not only at the genetic, transcriptional, biochemical, physiological developmental, and morphological anatomical levels, but also covering a wide range of traits, including identifiable traits/quasi-phenome, mapped traits, unmapped traits, target traits, non-target traits, non-identifiable traits, recessive traits, and unknown traits. Our services can be subdivided into detection phenomics, targeted phenomics, and ontogenetic phenomics from different research directions. We can meet your various research needs with different contents and directions.

Service Flow

• Determine the categories, testing protocols, and technical standards of phenotypic characteristics and environmental parameters of specific species, and construct a unified category library and testing standards for plant phenotypes.
• Determine the technical methods and operation modes of phenomics data collection, storage, organization, and presentation, and integrate engineering, instrumentation, computer, informatics, and biological technologies to build a data collection and processing system with high efficiency, effectiveness, and economy.
• Determine the representation and validation procedures for the relationship between phenotypic information, phenome, genome, and environment, and build plant phenomics ontology and validation model.

We Do Better

Standardized and accurate phenotypic analysis plays an irreplaceable role in basic research and molecular breeding and is an important guarantee for the efficient development of plant functional analysis, crop resource selection, breeding of superior varieties, varietal comparison, and cultivation techniques. Lifeasible applies mass spectrometry (MS), near-infrared spectrometry (NIR), nuclear magnetic resonance spectrometry (NMR), immunohistochemistry (IHC), immunofluorescence (IF), and flow cytometry (FC), molecular interaction analysis, SNPs, etc., to establish a platform for plant genotype and phenotype mapping analysis. We also use some automated image analysis techniques, such as RGB imaging, fluorescence imaging, thermal imaging, imaging spectroscopy, etc., developed specifically for plant research, in the acquisition of phenomics data such as leaf area, plant type, biomass, and physiological characteristics.

Reference

1. Zhao C. Z., et al., "Crop Phenomics: Current Status and Perspectives." Front. Plant Sci., 2019, 10:714.

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For research use only, not intended for any clinical use.

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