Disrupting plant inositol pyrophosphates to mitigate P pollution

Inositol pyrophosphates (PP-InsP) are plant signaling molecules that regulate phosphate homeostasis and related metabolic processes. But a global phosphate crisis, due to resource depletion and environmental pollution from excess phosphate, has raised the need for phosphate management. Freed et al. investigated strategies for enhancing phosphate management by manipulating PP-InsP signal pathways using both synthetic and native genes in Arabidopsis and pennycress, a cover crop. Their findings revealed that expressing Diadenosine and Diphosphoinositol Polyphosphate Phosphohydrolase (DDP1),  a yeast enzyme, decreases PP-InsP levels, activates phosphate starvation response, and enhances phosphate accumulation in Arabidopsis and pennycress. These results suggest that altering plant PP-InsP levels can be a strategy through which plants can be engineered to reclaim phosphate from soils. A native Arabidopsis gene, Nucleoside diphosphate-linked moiety X 13 (NUDIX13), which encodes an enzyme similar to DDP1, was also identified as promising target for regulating PP-InsP pathways. This study suggests the possibility of using DDP1 and NUDIX13 as tools for development of plants to manage phosphate resources and mitigate environmental impacts of excess phosphate, therefore, addressing phosphate pollution issues. (Summary by Idowu Arinola Obisesan, @IdowuAobisesan) Plant Physiol. 10.1093/plphys/kiae582

A trade-off between investment in molecular defense repertoires and growth in plants

The reduction in crop yields caused by pathogens and pests poses a significant challenge to global food security. Genetic engineering, aimed at strengthening plant defense mechanisms, offers a cost-effective solution for disease control. However, this approach often comes with a growth penalty, commonly referred to as the growth-defense trade-off. Despite extensive research, the precise molecular mechanisms underlying this phenomenon remain incompletely understood. A recent breakthrough by Giolai and Laine highlights the importance of intra- and interspecific variation in observing the growth-defense trade-off. By analyzing the relationship between R-gene density and growth traits, the authors demonstrated that elevated genomic R-gene density is negatively associated with growth in wild plants but not in agricultural or domesticated plants. This finding suggests that maintaining diverse defense repertoires shapes R-gene evolution in wild plant species, balancing growth and defense to maximize fitness and survival. However, this life-history-driven variation appears to be highly sensitive to domestication, underscoring the profound impact of agricultural practices on plant evolutionary dynamics. (Summary by Ching Chan @ntnuchanlab) Science 10.1126/science.adn2779

Plant Science Research Weekly: December 6, 2024

Review: Bringing purple tomatoes to market

This interesting article by Cathie Martin and Eugenio Butelli describes the process through which purple, anthocyanin-accumulating tomatoes were brought to the US market, from idea to business plan to regulatory status review and finally direct-to-consumer sales. Although these tomatoes have demonstrated health benefits, the developers had difficulty finding partners who wanted to help commercialize them, so they themselves worked through the long process by first forming a company called Norfolk Plant Sciences (NPS). The article describes the science behind elevated accumulation of anthocyanin, caused by increased expression of two key transcription factors in the metabolic pathway, as well as the characterization of the nutritional qualities of the tomatoes. The remainder of the article is particularly interesting and useful to plant scientists, as it lays out the steps that the authors undertook to get regulatory approval from the USDA/APHIS (Animal and Plant Health Inspection Service). It’s not often we get a first-hand perspective into how a genetically-engineered food can be made available to consumers, so this story will be particularly useful to other small-scale entrepreneurs. (Summary by Mary Williams @plantteaching.bsky.social @PlantTeaching) ACS Food Sci. Technol.  10.1021/acsfoodscitech.4c00692

Metabolites through the looking glass with CEST MRI

Non-invasive imaging technologies like computed tomography and magnetic resonance imaging (MRI) have revolutionized medicine by improving diagnostics and guiding treatment. Due to its versatility, MRI also holds potential for plant sciences, where it can be used to visualize and quantify metabolites within organs, tissues, and cells. However, challenges specific to plant tissues have hindered its implementation. Mayer et al. addressed these challenges by integrating chemical exchange saturation transfer (CEST), an MRI contrast technique that enhances signal detection and reduces susceptibility to magnetic field disturbances in plant tissues. CEST MRI enables high-resolution visualization of metabolites like amino acids and sugars. The researchers tested their method on various plant systems, from model crops like potato tubers to more complex tissues such as maize kernels. Compared to standard MRI, CEST MRI offers a higher signal-to-noise ratio, better spatial resolution, and faster detection times. Additionally, its ability to image live and complex plant tissues, such as barley grains on the spike, make it a powerful tool for the in vivo detection of metabolites in economically important sink organs including tubers, roots, and grains. Unlike most metabolomics techniques, which measure specific metabolites destructively, CEST MRI captures broad metabolite classes non-invasively, in live tissues, and with high resolution. This remarkable advancement in the field of plant metabolism has exciting potential for plant phenotyping platforms, breeding programs, and biofortification strategies by selecting traits linked to optimal metabolite concentrations. (Summary by Thomas Depaepe @thdpaepe.bsky.social @thdpaepe) Science Advances 10.1126/sciadv.adq4424

Crowd control by DCP5 – a new cytoplasmic osmosensor

Osmosis, driving water uptake and transport, is crucial for plants. It supports nutrient uptake, turgidity, and overall plant health. In hyperosmotic conditions, caused by drought, salinity, and cold stress, water loss triggers osmotic responses. A key question is: what sensors detect osmotic changes? While traditional sensors are ligand-receptor based or stretch-activated, internal cytoplasmic sensors are also presumed to exist. Recent studies suggest that proteins with intrinsically disordered regions (IDRs) are sensitive to changes in their physicochemical environment. These proteins could therefore serve as sensors that transmit information about the cell’s state. In a recent study, Wang and co-authors identified  Arabidopsis Decapping 5 (DCP5) as an intracellular cytoplasmic osmosensor. Their work demonstrates that DCP5 accumulates in cytoplasmic condensates under osmotic or salinity stress, aggregating in a dynamic, reversible manner. They further showed that molecular crowding resulting from volumetric changes – and not other osmotic signals – drives DCP5 aggregation. Additional bioinformatic and genetic analyses revealed that DCP5’s leucine-rich IDR is required for phase separation, driving aggregation and forming stress granules that sequester mRNA molecules. The authors show that these stress granules result in transcriptomic and translational changes that facilitate stress adaptation. In conclusion, Wang and colleagues uncovered a novel mechanism by which plants sense osmotic changes. Their study further highlights important roles for IDRs and protein phase separation in plant stress responses – an area that really deserves more attention. (Summary by Thomas Depaepe @thdpaepe.bsky.social @thdpaepe) Science 10.1126/science.adk9067

Many plant transcription factor families have evolutionarily conserved binding motifs

The regulated expression of genes is fundamental to all biological processes, including development, cell growth, and responses to environmental signals. Transcription factors (TFs) are sequence-specific DNA-binding proteins that play a central role in transcriptional regulation by directly interacting with cis-regulatory elements of gene targets. During evolution, the specificity of these interactions can shift due to genome variations or gene duplications. Such changes have been particularly pronounced in yeast, whereas they appear more conserved in flies and humans. To explore this in plants, Zenker and colleagues revisited existing plant TF databases and recalculated TF binding consensus sequences using a standardized pipeline. By comparing angiosperm species with the bryophyte Marchantia polymorpha, their analyses revealed a spectrum of sequence conservation across different TF families, with some binding motifs showing remarkable conservation, tracing back 450 million years. While the relative contributions of cis– and trans-regulation might be challenging to disentangle, this comprehensive catalog of plant TF binding motifs offers valuable insights for studying neofunctionalization and improving TF annotation in emerging plant models. (Summary by Ching Chan @ntnuchanlab) bioRxiv 10.1101/2024.10.31.621407

Changes in regulatory regions shape C3 to C4 evolution

In most land plants, carbon fixation into a three-carbon compound by the enzyme Rubisco takes place in the leaf mesophyll cells; these are called C3 plants. However, a different and more efficient pathway has evolved independently many times, in which a four-carbon metabolite is first produced in the mesophyll cells, followed by Rubisco activity in the bundle sheath cells surrounding the leaf veins; such plants are called C4 plants. While mesophyll and bundle sheath cells exist in both C3 and C4 plants, the specialization of bundle sheath cells for photosynthesis is a particular feature of C4 species. Swift, Luginbuehl et al. focused on rice (C3) and sorghum (C4) to elucidate the molecular changes underlying the specialization of bundle sheath cells for photosynthetic functions. The authors found that genes showing specialized expression in sorghum bundle sheath cells show an enrichment in DOF (DNA binding with one finger) binding motifs. Such motifs are absent in the regulatory regions of their mesophyll-specific rice counterparts, despite a similar expression of DOF transcription factors in the two species. Based on their findings, the authors propose a general model whereby changes in the promoter of photosynthesis genes of C4 plants, and in particular an enrichment in DOF motifs, control expression of such genes in bundle sheath cells instead of mesophyll cells. In C3 plants, different motifs in the promoter of photosynthesis genes drive their expression in mesophyll cells but not in bundle sheath cells. This work provides new insights into the transcriptional changes associated with C4 photosynthesis at the single-cell level, and will contribute to international efforts to engineer C4 photosynthesis in C3 plants to increase their efficiency. Moreover, it provides an example of the importance of changes in cis-regulatory sequences to shape important evolutionary traits. Summary by Laura Turchi, @turchil.bsky.social @turchi_l) Nature 10.1038/s41586-024-08204-3

Regulatory mechanisms of strigolactone perception in rice 

Strigolactones (SLs), a group of carotenoid-derived small signaling molecules and a class of phytohormones, play key roles in regulating various growth and developmental processes in plants. Additionally, they act as rhizosphere signaling molecules that promote symbiosis with arbuscular mycorrhizal (AM) fungi. Despite the identification of key components involved in SL perception and signaling through genetic and biochemical assays, the molecular mechanisms underlying SL signaling remain only partially understood. In a recent study, Hu and colleagues investigated DWARF14 (D14), a crucial SL receptor, and its associated receptor complex components. Their findings reveal that the formation of the D14-D3-ASK1 complex is essential for activating SL perception. SL induces the ubiquitination and degradation of D14, a process that requires direct interaction with D3. This regulatory mechanism is particularly significant in rice under low nitrogen conditions, where it affects tillering. This study provides new insights into the multi-layered regulation of SL signaling and opens opportunities for crop improvement and breeding programs. (Summary by Ching Chan @ntnuchanlab) Cell 10.1016/j.cell.2024.10.009

Epigenetic clocks in plants: uncovering DNA methylation decay in aging

What if plants could teach us about aging? Understanding how and why living organisms age is a fundamental question in biology and medicine. While most research focuses on humans, the model plant Arabidopsis thaliana offers unique insights into how organisms age. In a recent study, Dai et al. analyzed first true leaves at various ages and observed an intriguing pattern: a progressive loss of methylation integrity in heterochromatin regions as the tissues aged. This loss reflects patterns observed in human aging and diseases like cancer. These cumulative methylation losses result in significant differentially methylated regions in senescent leaves, accompanied by an increase in transposable element transcripts. This finding not only highlights the ability of plants to decouple biological and chronological age but also introduces an exciting parallel to the “epigenetic clocks” used to predict biological age in mammals. Even more fascinating is the discovery that new organs are epigenetically young and can age at independent rates from the rest of the organism, suggesting that meristems are “ageless,” producing germline cells and somatic organs that age independently. The study also identifies key regulatory genes, such as TCX5 and TCX6, which act as molecular switches repressing DNA methylation maintenance during aging. Mutants for this mechanism prevent epigenetic aging entirely, opening doors to understanding—and potentially manipulating—aging at a fundamental level. Lastly, but just as importantly, this study highlights that both the organ’s age and the timing of its emergence are critical factors that must be carefully accounted for when sampling! This work emphasizes the tremendous potential of Arabidopsis as a model species in the field of aging research. (Summary by Ileana Tossolini @IleanaDrt  @ileanadrt.bsky.social) bioRxiv https://www.biorxiv.org/content/10.1101/2024.11.04.621941v1

Disrupting plant inositol pyrophosphates to mitigate P pollution

Inositol pyrophosphates (PP-InsP) are plant signaling molecules that regulate phosphate homeostasis and related metabolic processes. But a global phosphate crisis, due to resource depletion and environmental pollution from excess phosphate, has raised the need for phosphate management. Freed et al. investigated strategies for enhancing phosphate management by manipulating PP-InsP signal pathways using both synthetic and native genes in Arabidopsis and pennycress, a cover crop. Their findings revealed that expressing Diadenosine and Diphosphoinositol Polyphosphate Phosphohydrolase (DDP1),  a yeast enzyme, decreases PP-InsP levels, activates phosphate starvation response, and enhances phosphate accumulation in Arabidopsis and pennycress. These results suggest that altering plant PP-InsP levels can be a strategy through which plants can be engineered to reclaim phosphate from soils. A native Arabidopsis gene, Nucleoside diphosphate-linked moiety X 13 (NUDIX13), which encodes an enzyme similar to DDP1, was also identified as promising target for regulating PP-InsP pathways. This study suggests the possibility of using DDP1 and NUDIX13 as tools for development of plants to manage phosphate resources and mitigate environmental impacts of excess phosphate, therefore, addressing phosphate pollution issues. (Summary by Idowu Arinola Obisesan, @IdowuAobisesan) Plant Physiol. 10.1093/plphys/kiae582

A trade-off between investment in molecular defense repertoires and growth in plants

The reduction in crop yields caused by pathogens and pests poses a significant challenge to global food security. Genetic engineering, aimed at strengthening plant defense mechanisms, offers a cost-effective solution for disease control. However, this approach often comes with a growth penalty, commonly referred to as the growth-defense trade-off. Despite extensive research, the precise molecular mechanisms underlying this phenomenon remain incompletely understood. A recent breakthrough by Giolai and Laine highlights the importance of intra- and interspecific variation in observing the growth-defense trade-off. By analyzing the relationship between R-gene density and growth traits, the authors demonstrated that elevated genomic R-gene density is negatively associated with growth in wild plants but not in agricultural or domesticated plants. This finding suggests that maintaining diverse defense repertoires shapes R-gene evolution in wild plant species, balancing growth and defense to maximize fitness and survival. However, this life-history-driven variation appears to be highly sensitive to domestication, underscoring the profound impact of agricultural practices on plant evolutionary dynamics. (Summary by Ching Chan @ntnuchanlab) Science 10.1126/science.adn2779

 

How to Choose a Suitable Statistical Method for Your Experiment

Introduction:

In plant science – as in most exact sciences – there are many experimental routes to answer specific research questions. These experiments can range from studying gene expression of plants under stress conditions to observing phenotypic traits like plant height or yield. To derive meaningful results from an experiment and enable proper interpretation of your datasets, applying proper statistical analyses is essential. Regardless of the type of experiment, choosing the right statistical method is critical for transforming raw data into valuable insights. The right statistical tools can reveal patterns, test hypotheses, and ensure that findings are robust and reproducible. In this infographic, we will explore how to select the appropriate statistical methods for plant science experiments, whether working with complex genetic datasets or straightforward phenotypic measurements. It is important to note that the statistical inference methods discussed are based on frequentist inference, which employs null hypothesis significance testing, p-value calculations, and the generation of confidence intervals. Other statistical frameworks, such as Bayesian inference, are also used in scientific research, with their own advantages and drawbacks, but are not the focus of this article. Furthermore, it is crucial to emphasize that the outcomes of statistical tests, like p-values, are informative but insufficient on their own for forming conclusions. Complementary considerations, such as effect size estimation, replication, and the use of alternative statistical methods, are essential to ensure robust conclusions from your analyses.

 

Conclusion:

Statistics may often seem like a complex addition to an already intricate research process, but its proper application is a powerful tool in the plant scientist’s arsenal. The right statistical methods not only enhance the reliability of your results but also reveal new insights that might otherwise be overlooked. It is crucial, however, to recognize that achieving reliable experimental results requires thoughtful planning before, attentive execution during, and thorough analysis after the experiment. As Ronald Fisher rightly noted, “To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.”

As plant science advances with increasingly sophisticated experiments, understanding and applying the appropriate statistical tools will be key to pushing the boundaries of what we know about the natural world. The decisions you make today will drive the innovations of tomorrow.

 

Some free resources to learn more:

  1. R for Data Science: https://r4ds.had.co.nz/; R for Data Science” by Hadley Wickham and Garrett Grolemund is a great free resource for learning how to use R for statistical analysis. R is widely used in plant science research for analyzing data. The book covers data wrangling, visualization, and statistical analysis with R.
  2. EdX: Data Science for Plant Biologists; This free course on EdX (by UC San Diego) covers basic statistical analysis and the applications of data science methods in plant biology, helping you analyze complex datasets like those often found in plant science research.
  3. StatQuest with Josh Starmer; Josh Starmer has an excellent YouTube channel, StatQuest, where he explains statistical concepts in simple terms. While it’s not plant science-specific, his explanations of statistical methods such as regression, ANOVA, and hypothesis testing can be directly applied to plant science research https://www.youtube.com/user/joshstarmer
  4. “Introduction to Statistical Learning”; While this course is not plant-specific, it provides a strong foundation in statistical learning and machine learning methods that can be applied to plant science, Coursera (Free Courses)
  5. Data Science for Everyone”; This course, offered by IBM, includes basic statistics and data analysis techniques, which can be applied to plant data, Coursera (Free Courses)

 

 

______________________________________________

About the Authors

Thomas Depaepe is a postdoctoral researcher at Ghent University in Belgium. He is fascinated by plant-environment interactions and is currently studying the role of local ethylene responses to guide plant growth during abiotic stress. He is passionate about teaching, equal rights, and science writing. In his free time, he enjoys cooking, good music and movies, is a full-time cat dad, and loves videogames. X: @thdpaepe

Kumanan N. Govaichelvan is a PhD student at Universiti Malaya, Malaysia and a 2024 Plantae Fellow. Coming from a rice consuming country, he believes that his current research project will help enhance crop breeding process and sustain food security. He also likes discussing philosophy, Kazuo Ishiguro novels and human evolution. You can find him on X at @NGKumanan.

Arijit Mukherjee is presently a final-year PhD candidate at the National University of Singapore, studying how plants and their extraordinarily diverse microorganisms influence each other’s functioning under nutrient deficiency. If he is not in the lab, you might find him playing football :). X: @ArijitM61745830

Spotlight: The role of fossils for reconstructing the evolution of plant development

I suspect if we asked someone to describe a fossil we’d hear a lot about dinosaur bones. Certainly, science museums are full of fossilized animal remains, which have greatly informed our understanding of animal evolution. Plant fossils similarly are rich sources of information about plant evolution and evolutionary development (evo-devo), as highlighted here by Hetherington. The author starts with an observation that reconstructing evolution using only extant species misses out on all the stages that have become extinct, so can miss key forms and events (imagine trying to understand where birds came from without knowing about dinosaurs). He notes that piecing together plant evo-devo is challenging because most of the major innovations in plant form occurred 350 million years ago, well before the time when most terrestrial animals were around. He makes the important point that if we only studied living plants, we would assume that leaves and roots each arise a single time, yet when we add in information from the fossil record it is apparent that the arose at least twice. This is a fascinating Spotlight article certainly worth sharing with students. (Summary by Mary Williams @PlantTeaching) Development 10.1242/dev.204322

Perspective: Enzymatic routes to designer hemicelluloses for use in biobased materials

This article poses the interesting question of whether we can use our knowledge of plant cell wall-modifying, carbohydrate-active enzymes to produce biobased materials. Specifically, the authors point out that much of the hemicellulose contained in agricultural and wood fiber could provide a starting point for making useful products such as aerogels, films, and coatings. Compared to common chemical processes, enzymes can be both more specific about what is produced, and greener in terms of waste. This Perspective article gives a comprehensive review of the substrates and products of many different characterized enzymes (a good review for those interested) and also proposes steps to overcome some of the challenges inherent in creating designer hemicelluloses. For example, the authors propose screening enzymes for application rather than function, e.g., by measuring changes in sample viscosity or light-scattering, and they call for more collaboration between enzymologists and materials scientists. (Summary by Mary Williams @PlantTeaching) JACS Au 10.1021/jacsau.4c00469

Review: Cracking the plant VOC sensing code and its practical applications

Many studies have demonstrated the importance of volatile organic compounds (VOCs) in communication between plants. VOCs emitted by a plant damaged by herbivory promote defenses in nearby plants. It is thought that these compounds may have originated as intra-plant signals, capable of moving long-distances faster than signals through the plant vascular system, with the inter-plant signaling function a fortuitous consequence. Notably, plants respond to signals produced by both conspecific and heterospecific individuals. A new review by Arimura and Uemura looks at these signals, reviewing their diverse functions but also highlighting what is known and not known about how they are perceived and elicit responses. Whether VOCs interact with specific plasma membrane-localized receptors (by analogy to animal olfactory system) remains an open question, and there is also some evidence that certain VOCs interact with proteins intracellularly. Some VOCs interact with the TOPLESS corepressor which may lead to changed in transcription and also chromatin remodeling. The review concludes with a discussion about how these insights might be used for protection of crop and horticultural plants, for example by the use of VOC-producing companion plants or synthetic VOCs. (Summary by Mary Williams @PlantTeaching) Trends Plant Sci 10.1016/j.tplants.2024.09.005

Review. Decoding resilience: Ecology, regulation, and evolution of biosynthetic gene clusters

Although clusters of functionally related genes are common in prokaryotes, until recently it was thought that they were not a feature of eukaryotic genomes. However, several studies have identified biosynthetic gene clusters (BGCs) in plants. Many of these gene clusters include sets of enzymes that act sequentially in the production of specialized metabolites, such as defense or signaling molecules, enabling rapid and cost-effective production of the compound. A new review by Cawood and Ton discusses the function and regulation of these BGCs and speculates on how they are formed. Unlike prokaryotes, which have polycistronic BGCs (with many proteins encoded by a single mRNA), BGCs in eukaryotes are monocistronic, yet closely co-regulated, raising the question of how.  Many studies suggest a role for histone modifications and histone variants (e.g., H2A.Z) in BGC co-regulation. There is also evidence for 3D chromatin topology and the formation of topologically associated domains (TADs) in BGC regulation. For example, in one case a chromatin loop structure leads to five BGC promoters simultaneously interacting with transcription factors and coactivators. Finally, the review turns to the question of how these BGCs were formed. It is generally assumed that they are derived from gene duplication and neofunctionalization, but the details of how this took place are not known. The authors describe a model in which stress induces activation of transposable elements, leading to gene duplication, exon shuffling, and gene fusion, providing opportunities for neofunctionalization. The authors also postulate that topologically associated domains could lead to related genes repositioning into BGCs. Finally, they note that in addition to positive selection of functional BGCs, there can be negative selection against incomplete BGCs due to the accumulation of potentially harmful metabolites.  (Summary by Mary Williams @PlantTeaching) Trends Plant Sci 10.1016/j.tplants.2024.09.008

PCMD: an interactive library for comparative metabolomics studies

Albert Einstein once said, “The only thing that you absolutely have to know is the location of the library.” Libraries house vast troves of information for readers to explore, analyze, and use. With the exponential increase in data, libraries have also evolved into digital databases and online platforms. For example, large-scale omics studies yield tremendous amounts of data on genes, proteins, and metabolites that can help us understand plant development, provided they are accessible to researchers. In a recent issue of Plant Communications, Hu and colleagues introduced the Plant Comparative Metabolome Database (PCMD; https://yanglab.hzau.edu.cn/PCMD) for comparative metabolomics. Built on genome-based predictions of metabolites and associated metabolic pathways, along with supporting experimental data, PCMD provides metabolic profiles for 530 plant species. It offers unique features such as metabolite enrichment determination for cross-species comparative analysis, setting it apart from other databases. Each metabolite entry also includes data on associated proteins, metabolic reactions, and relevant literature, and links to databases like PubChem and MetaCyc. Future updates include tools for uploading experimental data and visualizing metabolic networks to deepen studies of gene-metabolite relationships. In conclusion, like a library, PCMD provides researchers interested in comparative metabolomics with a robust starting point for exploring metabolites, metabolic profiles, and the evolution of metabolic networks and can even support biotechnological research focused on plant-derived compounds for pharmaceutical or therapeutic applications. (Summary by Thomas Depaepe @thdpaepe) Plant Communications 10.1016/j.xplc.2024.101038.