Nigel G. Halford

The Arabidopsis CDPK-SnRK Superfamily of Protein Kinases

The CDPK-SnRK superfamily consists of seven types of serine-threonine protein kinases: calcium-dependent protein kinase (CDPKs), CDPK-related kinases (CRKs), phosphoenolpyruvate carboxylase kinases (PPCKs), PEP carboxylase kinase-related kinases (PEPRKs), calmodulin-dependent protein kinases (CaMKs), calcium and calmodulin-dependent protein kinases (CCaMKs), and SnRKs. Within this superfamily, individual isoforms and subfamilies contain distinct regulatory domains, subcellular targeting information, and substrate specificities. Our analysis of the Arabidopsis genome identified 34 CDPKs, eight CRKs, two PPCKs, two PEPRKs, and 38 SnRKs. No definitive examples were found for a CCaMK similar to those previously identified in lily (Lilium longiflorum) and tobacco (Nicotiana tabacum) or for a CaMK similar to those in animals or yeast. CDPKs are present in plants and a specific subgroup of protists, but CRKs, PPCKs, PEPRKs, and two of the SnRK subgroups have been found only in plants. CDPKs and at least one SnRK have been implicated in decoding calcium signals in Arabidopsis. Analysis of intron placements supports the hypothesis that CDPKs, CRKs, PPCKs and PEPRKs have a common evolutionary origin; however there are no conserved intron positions between these kinases and the SnRK subgroup. CDPKs and SnRKs are found on all five Arabidopsis chromosomes. The presence of closely related kinases in regions of the genome known to have arisen by genome duplication indicates that these kinases probably arose by divergence from common ancestors. The PlantsP database provides a resource of continuously updated information on protein kinases from Arabidopsis and other plants.

High molecular weight subunits of wheat glutenin

The high molecular weight (HMW) subunits of wheat glutenin are of considerable interest because of their relationship to breadmaking quality. We review recent studies of their genetics, amino acid sequences and conformations, and discuss how they may be assembled to form disulphide-bonded polymers that confer elasticity on wheat dough. We also speculate on how their structure and functionality may be explored using protein engineering and expression in microorganisms or in developing seeds of transgenic plants.

SNF1-related protein kinases: global regulators of carbon metabolism in plants?

The SNF1 protein kinase family currently comprises SNF1 itself in the yeast Saccharomyces cerevisiae, the AMP-activated protein kinases (AMPK) in mammals, and the SNF1-related protein kinases (SnRKs) in higher plants. Members of the family have been discovered and rediscovered several times in recent years by different biochemical assays and/or genetic screens, and only when DNA and amino acid sequences became available was it realised that all of the different functions described were due to the members of the same protein kinase family. The physiological roles of the SNF1 family are currently better defined in yeast and animals, so it is necessary to begin our review with a description of those systems. However, some of the higher-plant SnRKs appear to be highly conserved with their yeast and animal counterparts, and we suspect they will turn out to play very similar roles. From the yeast and animal studies described in more detail below, the concept is emerging that the SNF1 family protect cells against nutritional or environmental stresses, particularly those which compromise cellular energy status, by regulating both metabolism and gene expression.

Snf1-related protein kinases (SnRKs) act within an intricate network that links metabolic and stress signalling in plants

The phosphorylation and dephosphorylation of proteins, catalysed by protein kinases and phosphatases, is the major mechanism for the transduction of intracellular signals in eukaryotic organisms. Signalling pathways often comprise multiple phosphorylation/dephosphorylation steps and a long-standing hypothesis to explain this phenomenon is that of the protein kinase cascade, in which a signal is amplified as it is passed from one step in a pathway to the next. This review represents a re-evaluation of this hypothesis, using the signalling network in which the SnRKs [Snf1 (sucrose non-fermenting-1)-related protein kinases] function as an example, but drawing also on the related signalling systems involving Snf1 itself in fungi and AMPK (AMP-activated protein kinase) in animals. In plants, the SnRK family comprises not only SnRK1, but also two other subfamilies, SnRK2 and SnRK3, with a total of 38 members in the model plant Arabidopsis. This may have occurred to enable linking of metabolic and stress signalling. It is concluded that signalling pathways comprise multiple levels not to allow for signal amplification, but to enable linking between pathways to form networks in which key protein kinases, phosphatases and target transcription factors represent hubs on/from which multiple pathways converge and emerge.

Analysis of HMW glutenin subunits encoded by chromosome 1A of bread wheat (Triticum aestivum L.) indicates quantitative effects on grain quality.

SummaryA gene encoding the high-molecular-weight (HMW) subunit of glutenin 1Ax1 was isolated from bread wheat cv Hope. Comparison of the deduced amino acid sequence with that previously reported for an allelic subunit, 1Ax2*, showed only minor differences, which were consistent with both subunits being associated with good bread-making quality. Quantitative analyses of total protein extracts from 22 cultivars of bread wheat showed that the presence of either subunit 1Ax1 or 1Ax2*, when compared with a null allele, resulted in an increase in the proportion of HMW subunit protein from ca. 8 to 10% of the total. It is suggested that this quantitative increase in HMW subunit protein may account for the association of 1Ax subunits with good quality.

The nucleotide and deduced amino acid sequences of an HMW glutenin subunit gene from chromosome 1B of bread wheat (Triticum aestivum L.) and comparison with those of genes from chromosomes 1A and 1D

SummaryThe nucleotide and deduced amino acid sequences of a high molecular weight glutenin subunit gene derived from chromosome 1B of bread wheat (Triticum aestivum L.) are reported. The encoded protein corresponds to the y-type subunit 1B9. Comparison of the 5′ upstream untranslated regions of this gene and a previously reported silent y-type gene derived from chromosome 1A showed a deletion of 85 bp in the latter. A sequence present in this region of the 1By 9 gene shows homology with part of the “-300 element” which is conserved in the 5′ upstream regions of other prolamin genes from barley, wheat and maize (Forde BG et al. 1985). It is suggested that the absence of this element is responsible for the lack of expression of the 1Ay gene. Comparison of the derived amino acid sequence with those reported previously for the silent 1Ay gene and the expressed x-type (1Dx2) and y-type (1Dy12) genes derived from chromosome 1D showed that the three y-type proteins are closely related. In contrast the x-type subunit (1Dx2) shows clear differences in the N-terminal region and in the number, type and organisation of repeats in the central repetitive domain.

Silencing of HMW glutenins in transgenic wheat expressing extra HMW subunits

Abstract Wheat HMW glutenin subunit genes 1Ax1 and 1Dx5 were introduced, and either expressed or overexpressed, into a commercial wheat cultivar that already expresses five subunits. Six independent transgenic events were obtained and characterized by SDS-PAGE and Southern analysis. The 1Dx5 gene was overexpressed in two events without changes in the other endosperm proteins. Overexpression of 1Dx5 increased the contribution of HMW glutenin subunits to total protein up to 22%. Two events express the 1Ax1 subunit transgene with associated silencing of the 1Ax2* endogenous subunit. In the SDS-PAGE one of them shows a new HMW glutenin band of an apparent Mr lower than that of the 1Dx5 subunit. Southern analysis of the four events confirmed transformation and suggest that the transgenes are present in a low copy number. Silencing of all the HMW glutenin subunits was observed in two different events of transgenic wheat expressing the 1Ax1 subunit transgene and overexpressing the Dx5 gene. Transgenes and expression patterns were stably transmitted to the progenies in all the events except one where in some of the segregating T2 seeds the silencing of all HMW glutenin subunits was reverted associated with a drastic lost of transgenes from a high to a low copy number. The revertant T2 seeds expressed the five endogenous subunits plus the 1Ax1 transgene.

Is hexokinase really a sugar sensor in plants

The molecular mechanisms by which plant cells sense sugar levels are not understood, but current models (adapted from models for sugar sensing in yeast) favour hexokinase as the primary sugar sensor. However, the hypothesis that yeast hexokinase has a signalling function has not been supported by more recent studies and the idea that hexokinase is involved in sugar sensing in plants has yet to be proven.

The interface between metabolic and stress signalling

BACKGROUND It is becoming increasingly clear that stress and metabolic signalling networks interact and that this interaction is important in plant responses to herbivory, pathogen attack, drought, cold, heat and osmotic stresses including salinity. At the interface between these two major signalling systems are the hormone abscisic acid (ABA) and signalling factors including protein kinases and transcription factors. SCOPE This briefing reviews links between ABA, stress and sugar signalling, focusing on the roles of sucrose non-fermenting-1-related protein kinases (SnRKs), SnRK1-activating protein kinases (SnAKs), calcium-dependent protein kinases (CDPKs) and ABA response element binding proteins (AREBPs, which are transcription factors). Links between stress and nitrogen / amino acid signalling are also described, including the roles of a protein kinase called general control non-derepressible (GCN)-2 in regulating protein synthesis through phosphorylation of the alpha-subunit of translation initiation factor-2 (eIF2alpha) in response not only to decreases in amino acid levels but also to a range of stresses. Evidence of a link between sugar and amino acid signalling is explored, with nitrate reductase being a target for regulation by both SnRK1 and GCN2 through different mechanisms; possible links between SnRK1 and GCN2 via a pathway including the protein kinase target of rapamycin (TOR)-1 are described. The significance of these interactions to the concept of signalling networks as opposed to simple cascades and pathways, and the importance of the subject in the context of the predicted increase in severity and range of stresses that plants will have to withstand as a result of global climate change are discussed.

Identifying target traits and molecular mechanisms for wheat breeding under a changing climate.

Global warming is causing changes in temperature at a rate unmatched by any temperature change over the last 50 million years. Crop cultivars have been selected for optimal performance under the current climatic conditions. With global warming, characterized by shifts in weather patterns and increases in frequency and magnitude of extreme weather events, new ideotypes will be required with a different set of physiological traits. Severe pressure has been placed on breeders to produce new crop cultivars for a future, rapidly-changing environment that can only be predicted with a great degree of uncertainty and is not available in the present day for direct experiments or field trials. Mathematical modelling, therefore, in conjunction with crop genetics, represents a powerful tool to assist in the breeding process. In this review, drought and high temperature are considered as key stress factors with a high potential impact on crop yield that are associated with global warming, focusing on their effects on wheat. Modelling techniques are described which can help to quantify future threats to wheat growth under climate change and simple component traits that are amenable to genetic analysis are identified. This approach could be used to support breeding programmes for new wheat cultivars suitable for future environments brought about by the changing climate.