Impact Factor 5.753 | CiteScore 8.2
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in Plant Science

Crop and Product Physiology

Functional Plant Ecology

Marine and Freshwater Plants

Plant Abiotic Stress

Plant Bioinformatics

Plant Biophysics and Modeling

Plant Biotechnology

Plant Breeding

Plant Cell Biology

Plant Development and EvoDevo

Plant Membrane Traffic and Transport

Plant Metabolism and Chemodiversity

Plant Nutrition

Plant Pathogen Interactions

Plant Physiology

Plant Proteomics and Protein Structural Biology

Plant Symbiotic Interactions

Plant Systematics and Evolution

Plant Systems and Synthetic Biology

Sustainable and Intelligent Phytoprotection

Technical Advances in Plant Science

Scope

Plant Biophysics and Modeling focuses on the basic principles guiding plant development, growth, and physiology, and how these lead to well-adapted and optimized systems — publishing research at the interface of physics, mathematics, and plant biology.

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Editorial Board

Scope

Plant Biophysics and Modeling focuses on the basic physical principles guiding plant physiology, development, homeostasis and growth, and how these processes lead to well-adapted and optimized systems. Plant Biophysics and Modeling is a multi- and interdisciplinary section that aims to publish the best research at the interface of physics, mathematics, bioinformatics and plant biology, and welcomes a wide range of research, both empirical and theoretical in nature, and at all scales of organization — from the molecular to the organismic level. We especially welcome contributions in the area of molecular and cell biophysics, physiology, bionics, computational cell biology, structural protein analyses, synthetic biology, quantitative developmental studies, and biomechanics.

Please consider the requirements for experimental studies as listed below

Quantitative analysis need to be performed on a minimum number of 3 biological replicates in order to enable an assessment of significance. This includes quantitative omics studies (transcriptomics, proteomics, metabolomics) as well as phenotypic measurements, quantitative assays, and qPCR expression analysis. Studies that do not comply with these replication requirements will not be considered for review.

Studies falling into the categories below will not be considered for review, unless they are expanded and provide insight into the biological system or process being studied:

i) Descriptive collection of transcripts, proteins or metabolites, including comparative sets as a result of different conditions or treatments;
ii) Descriptive studies that define gene families using basic phylogenetics and the assignment of cursory functional attributions (e.g. expression profiles, hormone or metabolites levels, promoter analysis, informatic parameters).

Studies using transgenic plants or mutants should be based on data from multiple independent alleles (at least 2) displaying a common and stable phenotype. Examples include, T-DNA, transposon, RNAi, CRISPR/Cas9, chemically induced, overexpressors, reporter fusions (GUS, FPs, LUC) etc. Qualitative data can be presented from a single allele but should be indicative of observations from multiple alleles which should be explicitly stated in the text. Quantitative data should be derived from multiple alleles (at least 2) and should be displayed separately for each allele (with at least 3 independent replications for each allele). Studies reporting single alleles may be considered acceptable when:

i) Complementation via transformation is used for confirmation;
ii) The allele has been previously characterized and published and is representative of multiple independent lines;
iii) Systems where genetic transformation is difficult or not yet possible, alternative evidence should be presented supporting the reported allele.

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in Plant Science

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