Plants are made up of highly specialised cell types organised across roots, shoots, leaves, meristems and reproductive tissues. Even within the same tissue, neighbouring cells can differ substantially in their developmental state, function and response to environmental signals.

Bulk RNA sequencing has transformed plant transcriptomics by revealing gene expression changes across tissues and experimental conditions. However, these measurements represent an average across many cells. Signals from less abundant cell populations can therefore be masked, while differences between individual cell types may remain unresolved.

Single-cell RNA sequencing (scRNA-seq) provides a way to examine plant gene expression at cellular resolution, helping researchers explore how individual cell populations contribute to development, differentiation and responses to changing conditions.

Resolving cell types within complex plant tissues

Plant tissues contain multiple cell types with distinct functions and transcriptional programs.

Roots, for example, contain specialised cell layers involved in nutrient uptake, transport, growth and environmental sensing. Developing tissues can also contain cells at different stages of differentiation, creating transcriptional gradients that may be difficult to distinguish using bulk approaches.

By profiling gene expression across individual cells, plant scRNA-seq can help researchers identify transcriptionally distinct cell populations and investigate the genes and pathways associated with them.

This can support questions such as:

• Which cell populations are present within a plant tissue?
• How do transcriptional profiles differ between cell types?
• Which genes are associated with particular developmental states?
• How do cell populations change across developmental stages or experimental conditions?

Single-cell studies across diverse plant tissues have increasingly been used to investigate cell identity, developmental trajectories and cell-type-specific gene expression.

Following plant development and differentiation

Plant development depends on tightly coordinated changes in gene expression as cells divide, differentiate and acquire specialised functions.

Single-cell transcriptomics can help resolve these processes by capturing cells occupying different transcriptional states within the same sample. Researchers can then investigate how gene-expression patterns change along developmental trajectories and identify potential regulators associated with particular cell states or transitions.

This has particular value in tissues where development is continuous or spatially organised, such as roots and meristems, where cells at different stages of differentiation can exist close together.

Rather than viewing development only as a change in average expression across an entire tissue, scRNA-seq provides a way to examine how those changes are distributed among individual cell populations.

Understanding plant responses cell by cell

Plants continuously respond to environmental conditions, including changes in water availability, temperature, nutrients, pathogens and other stresses.

These responses are not necessarily uniform across a tissue. Particular cell types or cell layers may respond differently, and some responses may occur only in relatively small populations of cells.

Plant scRNA-seq can help reveal these cell-type-specific responses, allowing researchers to explore which populations respond to a particular condition and how their transcriptional programs change.

Recent plant single-cell studies and reviews highlight applications including abiotic and biotic stress responses, developmental plasticity and cell-specific regulatory programs.

This level of resolution can complement conventional transcriptomic comparisons by helping researchers move from the question of which genes change to which cells are driving those changes.

Why plant sample preparation matters

Plant single-cell studies also come with challenges that are distinct from many animal systems.

The plant cell wall makes it more difficult to generate the single-cell suspensions required for scRNA-seq. Plant scRNA-seq commonly involves removal of the cell wall to generate protoplasts, and the efficiency of this process can vary between species, tissues and cell types. Some cells can be more difficult to release than others, while enzymatic digestion itself can influence transcriptional profiles.

This means that species, tissue type, developmental stage and sample quality are important considerations when planning a plant single-cell experiment.

Careful experimental design is therefore essential, not only for generating suitable material but also for interpreting the resulting cell populations and gene-expression patterns.

Single-cell and bulk RNA-seq answer different questions

Plant scRNA-seq does not replace bulk RNA sequencing.

Bulk RNA-seq remains highly effective for comparing overall transcriptomic changes between tissues, genotypes, treatments or experimental conditions. Single-cell analysis becomes particularly valuable when the biological question depends on understanding heterogeneity within those samples.

For example, a bulk RNA-seq experiment might identify a transcriptional response following a treatment, while scRNA-seq can help investigate whether that response is shared across many cells or concentrated within particular cell populations.

The appropriate approach therefore depends on the biological question and the level of resolution required.

Plant scRNA-seq at Novogene Europe

Novogene Europe now supports plant single-cell RNA sequencing using 10x Genomics technology, extending our single-cell gene expression capabilities to plant research.

The 10x Genomics Chromium 3′ Gene Expression platform supports plant applications and enables transcriptome profiling across individual cells.

Plant scRNA-seq can support research into cellular heterogeneity, plant development and differentiation, and cell-specific responses to biological or experimental conditions.

Together with our wider genomics, transcriptomics and bioinformatics capabilities, single-cell RNA sequencing provides another layer of resolution for researchers exploring complex plant biology.

Planning a plant single-cell RNA sequencing project?

Explore our Single-Cell Gene Expression service or talk to our specialists about your research question and plant sample requirements.