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Leaf senescence can be induced by stress or aging, sometimes in a synergistic manner. It is generally acknowledged that the ability to withstand senescence-inducing conditions can provide plants with stress resilience. Although the signaling and transcriptional networks responsible for a delayed senescence phenotype, often referred to as a functional stay-green trait, have been actively investigated, very little is known about the subsequent metabolic adjustments conferring this aptitude to survival. First, using the individually darkened leaf (IDL) experimental setup, we compared IDLs of wild-type (WT) Arabidopsis (Arabidopsis thaliana) to several stay-green contexts, that is IDLs of two functional stay-green mutant lines, oresara1-2 (ore1-2) and an allele of phytochrome-interacting factor 5 (pif5), as well as to leaves from a WT plant entirely darkened (DP). We provide compelling evidence that arginine and ornithine, which accumulate in all stay-green contexts—likely due to the lack of induction of amino acids (AAs) transport—can delay the progression of senescence by fueling the Krebs cycle or the production of polyamines (PAs). Secondly, we show that the conversion of putrescine to spermidine (SPD) is controlled in an age-dependent manner. Thirdly, we demonstrate that SPD represses senescence via interference with ethylene signaling by stabilizing the ETHYLENE BINDING FACTOR1 and 2 (EBF1/2) complex. Taken together, our results identify arginine and ornithine as central metabolites influencing the stress- and age-dependent progression of leaf senescence. We propose that the regulatory loop between the pace of the AA export and the progression of leaf senescence provides the plant with a mechanism to fine-tune the induction of cell death in leaves, which, if triggered unnecessarily, can impede nutrient remobilization and thus plant growth and survival.

Carbon storage and cycling in boreal forests-the largest terrestrial carbon store-is moderated by complex interactions between trees and soil microorganisms. However, existing methods limit our ability to predict how changes in environmental conditions will alter these associations and the essential ecosystem services they provide. To address this, we developed a metatranscriptomic approach to analyze the impact of nutrient enrichment on Norway spruce fine roots and the community structure, function, and tree-microbe coordination of over 350 root-associated fungal species. In response to altered nutrient status, host trees redefined their relationship with the fungal community by reducing sugar efflux carriers and enhancing defense processes. This resulted in a profound restructuring of the fungal community and a collapse in functional coordination between the tree and the dominant Basidiomycete species, and an increase in functional coordination with versatile Ascomycete species. As such, there was a functional shift in community dominance from Basidiomycetes species, with important roles in enzymatically cycling recalcitrant carbon, to Ascomycete species that have melanized cell walls that are highly resistant to degradation. These changes were accompanied by prominent shifts in transcriptional coordination between over 60 predicted fungal effectors, with more than 5,000 Norway spruce transcripts, providing mechanistic insight into the complex molecular dialogue coordinating host trees and their fungal partners. The host-microbe dynamics captured by this study functionally inform how these complex and sensitive biological relationships may mediate the carbon storage potential of boreal soils under changing nutrient conditions. 

Iron (Fe) is an essential element for the development and physiology of plants, owing to its presence in numerous proteins involved in central biological processes. Here, we established an exhaustive, manually curated inventory of genes encoding Fe-containing proteins in Arabidopsis thaliana, and summarized their subcellular localization, spatiotemporal expression and evolutionary age. We have currently identified 1068 genes encoding potential Fe-containing proteins, including 204 iron-sulfur (Fe-S) proteins, 446 haem proteins and 330 non-Fe-S/non-haem Fe proteins (updates of this atlas are available at https://conf.arabidopsis.org/display/COM/Atlas+of+Fe+containing+proteins). A fourth class, containing 88 genes for which iron binding is uncertain, is indexed as ‘unclear’. The proteins are distributed in diverse subcellular compartments with strong differences per category. Interestingly, analysis of the gene age index showed that most genes were acquired early in plant evolutionary history and have progressively gained regulatory elements, to support the complex organ-specific and development-specific functions necessitated by the emergence of terrestrial plants. With this gene atlas, we provide a valuable and updateable tool for the research community that supports the characterization of the molecular actors and mechanisms important for Fe metabolism in plants. This will also help in selecting relevant targets for breeding or biotechnological approaches aiming at Fe biofortification in crops.

The emergence of yellow and red hued foliage in plants, which we commonly associate with vegetal decline or a foreshadowing of winter, signals the progression of a process known as leaf senescence. It is characterised by a series of carefully orchestrated degradation events, which liberate nutrients from senescing tissues and redistribute them to growing organs such as young leaves and reproductive structures. As the timing and execution of this process is essential to maximising the viability of succeeding plant generations and fruit production, it has tremendous implications for the agricultural industry. In this issue of Physiologia Plantarum, Zhang et al. (2020) describes the way in which a novel microRNA (miRNA) affects the timing of leaf senescence in tomato (Solanum lycopersicum) by modulating biosynthesis of the phytohormone cytokinin.

Gene co-expression networks (GCNs) can be prepared using a variety of mathematical approaches based on data sampled across diverse developmental processes, tissue types, pathologies, mutant backgrounds, and stress conditions. These networks are used to identify genes with similar expression dynamics but are prone to introducing false-positive and false-negative relationships, especially in the instance of large and heterogenous datasets. With the aim of optimizing the relevance of edges in GCNs and enhancing global biological insight, we propose a novel approach that involves a data-centering step performed simultaneously per gene and per sub-experiment, called centralization within sub-experiments (CSE). Using a gene set encoding the plant mitochondrial proteome as a case study, our results show that all CSE-based GCNs assessed had significantly more edges within the majority of the considered functional sub-networks, such as the mitochondrial electron transport chain and its complexes, than GCNs not using CSE; thus demonstrating that CSE-based GCNs are efficient at predicting canonical functions and associated pathways, here referred to as the core gene network. Furthermore, we show that correlation analyses using CSE-processed data can be used to fine-tune prediction of the function of uncharacterized genes; while its use in combination with analyses based on non-CSE data can augment conventional stress analyses with the innate connections underpinning the dynamic system being examined. Therefore, CSE is an effective alternative method to conventional batch correction approaches, particularly when dealing with large and heterogenous datasets. The method is easy to implement into a pre-existing GCN analysis pipeline and can provide enhanced biological relevance to conventional GCNs by allowing users to delineate a core gene network. Author Summary Gene co-expression networks (GCNs) are the product of a variety of mathematical approaches that identify causal relationships in gene expression dynamics but are prone to the misdiagnoses of false-positives and false-negatives, especially in the instance of large and heterogenous datasets. In light of the burgeoning output of next-generation sequencing projects performed on a variety of species, and developmental or clinical conditions; the statistical power and complexity of these networks will undoubtedly increase, while their biological relevance will be fiercely challenged. Here, we propose a novel approach to generate a "core" GCN with enhanced biological relevance. Our method involves a data-centering step that effectively removes all primary treatment/tissue effects, which is simple to employ and can be easily implemented into pre-existing GCN analysis pipelines. The gain in biological relevance resulting from the adoption of this approach was assessed using a plant mitochondrial case study.

Efforts to decipher the processes underpinning biological systems now have a plethora of approaches from which to choose. Transcriptomics and proteomics provide a global snapshot of the abundance of gene products in a sample, from which researchers can learn a great deal about the inner machinations of a cell. However, when attempting to piece together a roadmap of an organism's metabolism, these strategies illuminate only a portion of the cellular landscape, and the evidence provided is often once- or even twice-removed from the actual players (the metabolites) involved. In this issue of Physiologia Plantarum, Jia et al. (2020) used metabolomic approaches to directly analyse the molecular soup of substrates and products contained in plant cells (known as the metabolome) to unravel the metabolic and physiological differences separating a drought-sensitive and a drought-tolerant species of the ecologically and economically important woody plant, poplar.

Soils represent the largest and most stable carbon pools on Earth, exceeding even the carbon aggregate found in the atmosphere and global phytomass. However, our understanding of how CO2 travels from the soil to the atmosphere, and the role of plants in this journey, is not fully understood. An article in this issue of Physiologia Plantarum (Shimono et al. 2019) sheds light on this process and unearths the dramatic effect pH can have on the fate of CO2 in plants.

Drought is an increasingly common climatic event that can devastate ecosystems, as well as surrounding agricultural and forestry industries. Few places face this challenge more than Australia, where millennia of droughts linked to geography and climatic drivers, such as El Niño, have shaped the flora and fauna into forms predicated on resilience and economy. How an organism responds to these cyclic challenges is a combination of the inherent tolerance mechanisms encoded in their genome and outside influences, such as the effect of nutrients and symbiotic interactions. In this issue of Physiologia Plantarum, Tariq et al. (2019) describes how the presence of the element phosphorus can bolster the physiological and biochemical response of eucalypt seedlings to severe drought conditions.

Putrescine is a member of a group of aliphatic compounds, known as polyamines, which are derived from the breakdown of amino acids in living (and dead) cells. Along with the grimly named cadaverine, putrescine was discovered in 1885 by the German physician Ludwig Brieger, who identified these polyamines as the primary constituent of the foul odours we associate with the rot and putrification of flesh. From this morbid origin, it is difficult to believe that putrescine has since been recognised as having numerous beneficial roles for living cells, ranging from increasing the tolerance of plants to biotic and abiotic stresses to possible roles in treating major mood disorders in humans. In this issue of Physiologia Plantarum, Zhu et al. (2019) describes how the addition of putrescine to the roots of rice (Oryza sativa) can alter the building blocks of the cell wall and, in doing so, alleviate aluminium toxicity.

Glutathione transferases (GSTs) belong to a ubiquitous multigenic family of enzymes involved in diverse biological processes including xenobiotic detoxification and secondary metabolism. A canonical GST is formed by two domains, the N-terminal one adopting a thioredoxin (TRX) fold and the C-terminal one an all-helical structure. The most recent genomic and phylogenetic analysis based on this domain organization allowed the classification of the GST family into 14 classes in terrestrial plants. These GSTs are further distinguished based on the presence of the ancestral cysteine (Cys-GSTs) present in TRX family proteins or on its substitution by a serine (Ser-GSTs). Cys-GSTs catalyze the reduction of dehydroascorbate and deglutathionylation reactions whereas Ser-GSTs catalyze glutathione conjugation reactions and eventually have peroxidase activity, both activities being important for stress tolerance or herbicide detoxification. Through non-catalytic, so-called ligandin properties, numerous plant GSTs also participate in the binding and transport of small heterocyclic ligands such as flavonoids including anthocyanins, and polyphenols. So far, this function has likely been underestimated compared to the other documented roles of GSTs. In this review, we compiled data concerning the known enzymatic and structural properties as well as the biochemical and physiological functions associated to plant GSTs having a conserved serine in their active site.