Moving forward in reverse: genetic technologies to enable genome-wide phenomic screens in Arabidopsis

Genomics and bioinformatics resources for crop improvement

Recent remarkable innovations in platforms for omics-based research and application development provide crucial resources to promote research in model and applied plant species. A combinatorial approach using multiple omics platforms and integration of their outcomes is now an effective strategy for clarifying molecular systems integral to improving plant productivity. Furthermore, promotion of comparative genomics among model and applied plants allows us to grasp the biological properties of each species and to accelerate gene discovery and functional analyses of genes. Bioinformatics platforms and their associated databases are also essential for the effective design of approaches making the best use of genomic resources, including resource integration. We review recent advances in research platforms and resources in plant omics together with related databases and advances in technology.

The PPH1 phosphatase is specifically involved in LHCII dephosphorylation and state transitions in Arabidopsis

The ability of plants to adapt to changing light conditions depends on a protein kinase network in the chloroplast that leads to the reversible phosphorylation of key proteins in the photosynthetic membrane. Phosphorylation regulates, in a process called state transition, a profound reorganization of the electron transfer chain and remodeling of the thylakoid membranes. Phosphorylation governs the association of the mobile part of the light-harvesting antenna LHCII with either photosystem I or photosystem II. Recent work has identified the redox-regulated protein kinase STN7 as a major actor in state transitions, but the nature of the corresponding phosphatases remained unknown. Here we identify a phosphatase of Arabidopsis thaliana, called PPH1, which is specifically required for the dephosphorylation of light-harvesting complex II (LHCII). We show that this single phosphatase is largely responsible for the dephosphorylation of Lhcb1 and Lhcb2 but not of the photosystem II core proteins. PPH1, which belongs to the family of monomeric PP2C type phosphatases, is a chloroplast protein and is mainly associated with the stroma lamellae of the thylakoid membranes. We demonstrate that loss of PPH1 leads to an increase in the antenna size of photosystem I and to a strong impairment of state transitions. Thus phosphorylation and dephosphorylation of LHCII appear to be specifically mediated by the kinase/phosphatase pair STN7 and PPH1. These two proteins emerge as key players in the adaptation of the photosynthetic apparatus to changes in light quality and quantity.

Monitoring the regulation of gene expression in a growing organ using a fluid mechanics formalism

Background

Technological advances have enabled the accurate quantification of gene expression, even within single cell types. While transcriptome analyses are routinely performed, most experimental designs only provide snapshots of gene expression. Molecular mechanisms underlying cell fate or positional signalling have been revealed through these discontinuous datasets. However, in developing multicellular structures, temporal and spatial cues, known to directly influence transcriptional networks, get entangled as the cells are displaced and expand. Access to an unbiased view of the spatiotemporal regulation of gene expression occurring during development requires a specific framework that properly quantifies the rate of change of a property in a moving and expanding element, such as a cell or an organ segment.

Results

We show how the rate of change in gene expression can be quantified by combining kinematics and real-time polymerase chain reaction data in a mechanistic model which considers any organ as a continuum. This framework was applied in order to assess the developmental regulation of the two reference genes Actin11 and Elongation Factor 1-β in the apex of poplar root. The growth field was determined by time-lapse photography and transcript density was obtained at high spatial resolution. The net accumulation rates of the transcripts of the two genes were found to display highly contrasted developmental profiles. Actin11 showed pulses of up and down regulation in the accelerating and decelerating parts of the growth zone while the dynamic of EF1β were much slower. This framework provides key information about gene regulation in a developing organ, such as the location, the duration and the intensity of gene induction/repression.

Conclusions

We demonstrated that gene expression patterns can be monitored using the continuity equation without using mutants or reporter constructions. Given the rise of imaging technologies, this framework in our view opens a new way to dissect the molecular basis of growth regulation, even in non-model species or complex structures.

Light signal transduction: an infinite spectrum of possibilities

The past 30 years has seen a tremendous increase in our understanding of the light-signaling networks of higher plants. This short review emphasizes the role that Arabidopsis genetics has played in deciphering this complex network. Importantly, it outlines how genetic studies led to the identification of photoreceptors and signaling components that are not only relevant in plants, but play key roles in mammals.

Linking genotype to phenotype using the Arabidopsis unimutant collection

The large collections of Arabidopsis thaliana sequence-indexed T-DNA insertion mutants are among the most important resources to emerge from the sequencing of the genome. Several laboratories around the world have used the Arabidopsis reference genome sequence to map T-DNA flanking sequence tags (FST) for over 325,000 T-DNA insertion lines. Over the past decade, phenotypes identified with T-DNA-induced mutants have played a critical role in advancing both basic and applied plant research. These widely used mutants are an invaluable tool for direct interrogation of gene function. However, most lines are hemizygous for the insertion, necessitating a genotyping step to identify homozygous plants for the quantification of phenotypes. This situation has limited the application of these collections for genome-wide screens. Isolating multiple homozygous insert lines for every gene in the genome would make it possible to systematically test the phenotypic consequence of gene loss under a wide variety of conditions. One major obstacle to achieving this goal is that 12% of genes have no insertion and 8% are only represented by a single allele. Generation of additional mutations to achieve full genome coverage has been slow and expensive since each insertion is sequenced one at a time. Recent advances in high-throughput sequencing technology open up a potentially faster and cost-effective means to create new, very large insertion mutant populations for plants or animals. With the combination of new tools for genome-wide studies and emerging phenotyping platforms, these sequence-indexed mutant collections are poised to have a larger impact on our understanding of gene function.

Genetic screens to identify plant stress genes

A powerful means to learn about gene functions in a developmental or physiological context in an organism is to isolate the corresponding mutants with altered phenotypes. Diverse mutagenic agents, including chemical and biological, have been widely employed, and each comes with its own advantages and inconveniences. For Arabidopsis thaliana, whose genome sequence is publicly available, the reliance of reverse genetics to understand the relevant roles of genes particularly those coding for proteins in growth and development is now a common practice. Identifying multiple alleles at each locus is important because they can potentially reveal epistatic relationship in a signaling pathway or components belonging to a common signaling complex by their synergistic or even allele-specific enhancement of the phenotypic severity. In this article, we describe mutagenesis by using ethyl methanesulfonate (EMS) and transfer (T)-DNA-mediated insertion or activation tagging as applied to the most widely used genetic plant model A. thaliana. Also, we demonstrate the utility of several genetic screening approaches to dissect adaptive responses to various abiotic stresses.

Genetic technologies for the identification of plant genes controlling environmental stress responses

Abiotic conditions such as light, temperature, water availability and soil parameters determine plant growth and development. The adaptation of plants to extreme environments or to sudden changes in their growth conditions is controlled by a well balanced, genetically determined signalling system, which is still far from being understood. The identification and characterisation of plant genes which control responses to environmental stresses is an essential step to elucidate the complex regulatory network, which determines stress tolerance. Here, we review the genetic approaches, which have been used with success to identify plant genes which control responses to different abiotic stress factors. We describe strategies and concepts for forward and reverse genetic screens, conventional and insertion mutagenesis, TILLING, gene tagging, promoter trapping, activation mutagenesis and cDNA library transfer. The utility of the various genetic approaches in plant stress research we review is illustrated by several published examples.

Phenome analysis in plant species using loss-of-function and gain-of-function mutants

Analysis of genetic mutations is one of the most effective ways to investigate gene function. We now have methods that allow for mass production of mutant lines and cells in a variety of model species. Recently, large numbers of mutant lines have been generated by both 'loss-of-function' and 'gain-of-function' techniques. In parallel, phenotypic information covering various mutant resources has been acquired and released in web-based databases. As a result, significant progress in comprehensive phenotype analysis is being made through the use of these tools. Arabidopsis and rice are two major model plant species in which genome sequencing projects have been completed. Arabidopsis is the most widely used experimental plant, with a large number of mutant resources and several examples of systematic phenotype analysis. Rice is a major crop species and is used as a model plant, with an increasing number of mutant resources. Other plant species are also being employed in functional genetics research. In this review, the present status of mutant resources for large-scale studies of gene function in plant research and the current perspective on using loss-of-function and gain-of-function mutants in phenome research will be discussed.

Highly specific gene silencing by artificial microRNAs in the unicellular alga Chlamydomonas reinhardtii

MicroRNAs (miRNAs) are small RNAs, 21 to 22 nucleotides long, with important regulatory roles. They are processed from longer RNA molecules with imperfectly matched foldback regions and they function in modulating the stability and translation of mRNA. Recently, we and others have demonstrated that the unicellular alga Chlamydomonas reinhardtii, like diverse multicellular organisms, contains miRNAs. These RNAs resemble the miRNAs of land plants in that they direct site-specific cleavage of target mRNA with miRNA-complementary motifs and, presumably, act as regulatory molecules in growth and development. Utilizing these findings we have developed a novel artificial miRNA system based on ligation of DNA oligonucleotides that can be used for specific high-throughput gene silencing in green algae.

Identification of SFR6, a key component in cold acclimation acting post-translationally on CBF function

The sfr6-1 mutant of Arabidopsis thaliana was identified previously on the basis of its failure to undergo acclimation to freezing temperatures following exposure to low positive temperatures. This failure is attributed to a defect in the pathway leading to cold on-regulated (COR) gene expression via CBF (C-box binding factor) transcription factors. We identified a region of chromosome 4 containing SFR6 by positional mapping. Fine mapping of the sfr6-1 mutation proved impossible as the locus resides very close to the centromere. Therefore, we screened 380 T-DNA lines with insertions in genes within the large region to which sfr6-1 mapped. This resulted in the identification of two further mutant alleles of SFR6 (sfr6-2 and sfr6-3); like the original sfr6-1 mutation, these disrupt freezing tolerance and COR gene expression. To determine the protein sequence, we cloned an SFR6 cDNA based on the predicted coding sequence, but this offered no indication as to the mechanism by which SFR6 acts. The SFR6 gene itself is not strongly regulated by cold, thus discounting regulation of SFR6 activity at the transcriptional level. We show that over-expression of CBF1 or CBF2 transcription factors, which constitutively activate COR genes in the wild-type, cannot do so in sfr6-1. We demonstrate that CBF protein accumulates to wild-type levels in response to cold in sfr6-1. These results indicate a role for the SFR6 protein in the CBF pathway -downstream of CBF translation. The fact that the SFR6 protein is targeted to the nucleus may suggest a direct role in modulating gene expression.

Leaf development: time to turn over a new leaf?

Molecular cloning of mutations affecting the morphology of plant leaves has proven to be useful for the causal analysis of leaf development. Studies of leaf mutants have produced a wealth of biologically meaningful information on the genes that participate in leaf initiation, leaf polarity specification and maintenance, and leaf expansion and maturation. The availability of collections of gene-indexed insertional mutants, automated platforms for high-throughput imaging, and new morphometry software is making genome-wide leaf phenomics possible and complements classical forward genetics approaches. Large-scale phenomic studies will further our understanding, among others, of two intriguing phenomena that recently reentered the leaf scenario. One is the unexpected relationship between translation and leaf dorsoventrality, recently confirmed by the severe abaxialization of double mutants involving loss-of-function alleles of the developmental selector genes AS1 and AS2 and some genes encoding ribosomal proteins. The second unexplained phenomenon is the compensatory cell enlargement experienced by some leaf mutants, in which a reduced cell number is compensated by their increased cell size compared with the wild type. This compensation suggests that cell cycling and cell enlargement are integrated in leaf primordia via cell-to-cell communication.

AtMap1: a DNA microarray for genomic deletion mapping in Arabidopsis thaliana

We have designed a novel tiling array, AtMap1, for genomic deletion mapping. AtMap1 is a 60-mer oligonucleotide microarray consisting of 42 497 data probes designed from the genomic sequence of Arabidopsis thaliana Col-0. The average probe interval is 2.8 kb. The performance of the AtMap1 array was assessed using the deletion mutants mag2-2, rot3-1 and zig-2. Eight of the probes showed threefold lower signals in mag2-2 than Col-0. Seven of these probes were located in one region on chromosome 3. We considered these adjacent probes to represent one deletion. This deletion was consistent with a reported deleted region. The other probe was located near the end of chromosome 4. A newly identified deletion around the probe was confirmed by PCR. We also detected the responsible deletions for rot3-1 and zig-2. Thus we concluded that the AtMap1 array was sufficiently sensitive to identify a deletion without any a priori knowledge of the deletion. An analysis of the result of hybridization of Ler and previously reported polymorphism data revealed that the signal decrease tended to depend on the overlap size of sequence polymorphisms. Mutation mapping is time-consuming, laborious and costly. The AtMap1 array removes these limitations.

Arabidopsis Hormone Database: a comprehensive genetic and phenotypic information database for plant hormone research in Arabidopsis

Plant hormones are small organic molecules that influence almost every aspect of plant growth and development. Genetic and molecular studies have revealed a large number of genes that are involved in responses to numerous plant hormones, including auxin, gibberellin, cytokinin, abscisic acid, ethylene, jasmonic acid, salicylic acid, and brassinosteroid. Here, we develop an Arabidopsis hormone database, which aims to provide a systematic and comprehensive view of genes participating in plant hormonal regulation, as well as morphological phenotypes controlled by plant hormones. Based on data from mutant studies, transgenic analysis and gene ontology (GO) annotation, we have identified a total of 1026 genes in the Arabidopsis genome that participate in plant hormone functions. Meanwhile, a phenotype ontology is developed to precisely describe myriad hormone-regulated morphological processes with standardized vocabularies. A web interface (http://ahd.cbi.pku.edu.cn) would allow users to quickly get access to information about these hormone-related genes, including sequences, functional category, mutant information, phenotypic description, microarray data and linked publications. Several applications of this database in studying plant hormonal regulation and hormone cross-talk will be presented and discussed.

Efficient virus-induced gene silencing in Arabidopsis using a 'one-step' TYMV-derived vector

Virus-induced gene silencing (VIGS) is an important tool for the analysis of gene function in plants. This technique exploits recombinant viral vectors harbouring fragments of plant genes in their genome to generate double-stranded RNAs that initiate homology-dependent silencing of the target gene. Several viral VIGS vectors have already been successfully used in reverse-genetics studies of a variety of processes occurring in plants. Here, we show that a viral vector derived from Turnip yellow mosaic virus (TYMV) has the ability to induce VIGS in Arabidopsis thaliana, accession Col-0, provided that it carries an inverted-repeat fragment of the target gene. Robust and reliable gene silencing was observed when plants were inoculated simply by abrasion with intact plasmid DNA harbouring a cDNA copy of the viral genome, thus precluding the need for in vitro transcription, biolistic or agroinoculation procedures. Our results indicate that a 76 bp fragment is sufficient to cause gene silencing in leaves, stems and flowers, and that the TYMV-derived vector also has the ability to target genes expressed in meristematic tissues. The VIGS vector described here may thus represent an ideal tool for improving high-throughput functional genomics in Arabidopsis.

Getting the most out of publicly available T-DNA insertion lines

In the course of several different projects, we came to realize that there is a significant amount of untapped potential in the publicly available T-DNA insertion lines. In addition to the GABI-Kat lines, which were designed specifically for activation tagging, lines from the SAIL and FLAGdb collections are also useful for this purpose. As well as the 35S promoter chosen for activation tagging in GABI-Kat lines, we found that the 1'2' bidirectional promoter is capable of activating expression of flanking genomic sequences in both GABI-Kat and SAIL lines. Thus these lines have added potential for activation tagging. We also show that these lines are capable of generating antisense transcripts and so have the potential to be used for suppression (loss/reduction of function) studies. By virtue of weak terminator sequences in some T-DNA constructs, transcript read-through from selectable markers is also possible, which again has the potential to be exploited in activation/suppression studies. Finally, we show that, by selecting and characterizing lines in which the T-DNA insertions are present specifically within introns of a target gene, an allelic series of mutants with varying levels of reduced expression can be generated, due to differences in efficiency of intron splicing. Taken together, our analyses demonstrate that there is a wealth of untapped potential within existing insertion lines for studies on gene function, and the effective exploitation of these resources is discussed.

Web-based Arabidopsis functional and structural genomics resources

As plant research moves to a "post-genomic" era, many diverse internet resources become available to the international research community. Arabidopsis thaliana, because of its small size, rapid life cycle and simple genome, has been a model system for decades, with much research funding and many projects devoted to creation of functional and structural genomics resources. Different types of data, including genome, transcriptome, proteome, phenome, metabolome and ionome are stored in these resources. In this chapter, a variety of genomics resources are introduced, with simple descriptions of how some can be accessed by laboratory researchers via the internet.

Vein patterning screens and the defectively organized tributaries mutants in Arabidopsis thaliana

Leaf veins form a closed network that transports essential photosynthates, water and signaling molecules to the developing plant. The formation of the patterns of these networks during leaf ontogeny is an active subject of modeling and computer simulation. To investigate the vein patterning process, we performed screens for defects in juvenile leaf vein patterning in Arabidopsis thaliana lines subjected to mutagenesis via diepoxybutane, activation tagging or the Dissociation/Activator transposon. We identified over 40 vein pattern defective lines, providing a phenotypic resource for the testing of vein patterning models. In addition, we report the chromosomal linkage for 13 of these, eight of which were successfully cloned. We further describe the phenotypes of five of these mutants, which we call the defectively organized tributaries (dot) mutants, and their corresponding molecular identities. The diversity of the individual genes affected in this collection of pattern mutants suggests that vein pattern is highly sensitive to perturbations in many cellular processes. Despite this diversity of causes, the resulting pattern defects fall into a limited number of classes, including parallel, spurred, misaligned, open, midvein gap and irregularly spaced. These classes may represent sensitivities to cellular processes associated with the DOT genes. The ontogeny of common defective patterns should be accommodated into any robust model for the ontogeny and evolution of pattern.

Transcription factors for predictive plant metabolic engineering: are we there yet?

Transcription factors (TFs) are considered viable alternatives to 'single enzyme' approaches for the manipulation of plant metabolic pathways. Because of the ability to control multiple, if not all steps in a particular metabolic pathway, TFs provide attractive tools for overcoming flux bottlenecks involving multiple enzymatic steps, or for deploying pathway genes in specific organs, cell types or even plants where they normally do not express. The potential of a TF for the predictive manipulation of plant metabolism is intimately linked to understanding how it fits in the gene regulatory organization. The knowledge gained over the past decade on how plant pathways are controlled together with increasing efforts aimed at deciphering the overall architecture of plant gene regulatory networks are starting to realize the potential of TFs for predictive plant metabolic engineering.

Retention of induced mutations in a Drosophila reverse-genetic resource

Targeting induced local lesions in genomes (TILLING) is a reverse-genetic method for identifying point mutations in chemically mutagenized populations. For functional genomics, it is ideal to have a stable collection of heavily mutagenized lines that can be screened over an extended period of time. However, long-term storage is impractical for Drosophila, so mutant strains must be maintained by continual propagation of live cultures. Here we evaluate a strategy in which ethylmethane sulfonate (EMS) mutagenized chromosomes were maintained as heterozygotes with balancer chromosomes for >100 generations before screening. The strategy yielded a spectrum of point mutations similar to those found in previous studies of EMS-induced mutations, as well as 2.4% indels (insertions and deletions). Our analysis of 1887 point mutations in 148 targets showed evidence for selection against deleterious lesions and differential retention of lesions among targets on the basis of their position relative to balancer breakpoints, leading to a broad distribution of mutational densities. Despite selection and differential retention, the success of a user-funded service based on screening a large collection several years after mutagenesis indicates sufficient stability for use as a long-term reverse-genetic resource. Our study has implications for the use of balancer chromosomes to maintain mutant lines and provides the first large-scale quantitative assessment of the limitations of using breeding populations for repositories of genetic variability.

Identification and functional analysis of light-responsive unique genes and gene family members in rice

Functional redundancy limits detailed analysis of genes in many organisms. Here, we report a method to efficiently overcome this obstacle by combining gene expression data with analysis of gene-indexed mutants. Using a rice NSF45K oligo-microarray to compare 2-week-old light- and dark-grown rice leaf tissue, we identified 365 genes that showed significant 8-fold or greater induction in the light relative to dark conditions. We then screened collections of rice T-DNA insertional mutants to identify rice lines with mutations in the strongly light-induced genes. From this analysis, we identified 74 different lines comprising two independent mutant lines for each of 37 light-induced genes. This list was further refined by mining gene expression data to exclude genes that had potential functional redundancy due to co-expressed family members (12 genes) and genes that had inconsistent light responses across other publicly available microarray datasets (five genes). We next characterized the phenotypes of rice lines carrying mutations in ten of the remaining candidate genes and then carried out co-expression analysis associated with these genes. This analysis effectively provided candidate functions for two genes of previously unknown function and for one gene not directly linked to the tested biochemical pathways. These data demonstrate the efficiency of combining gene family-based expression profiles with analyses of insertional mutants to identify novel genes and their functions, even among members of multi-gene families.

Identifying candidate genes affecting developmental time in Drosophila melanogaster: pervasive pleiotropy and gene-by-environment interaction

Background

Understanding the genetic architecture of ecologically relevant adaptive traits requires the contribution of developmental and evolutionary biology. The time to reach the age of reproduction is a complex life history trait commonly known as developmental time. In particular, in holometabolous insects that occupy ephemeral habitats, like fruit flies, the impact of developmental time on fitness is further exaggerated. The present work is one of the first systematic studies of the genetic basis of developmental time, in which we also evaluate the impact of environmental variation on the expression of the trait.

Results

We analyzed 179 co-isogenic single P[GT1]-element insertion lines of Drosophila melanogaster to identify novel genes affecting developmental time in flies reared at 25°C. Sixty percent of the lines showed a heterochronic phenotype, suggesting that a large number of genes affect this trait. Mutant lines for the genes Merlin and Karl showed the most extreme phenotypes exhibiting a developmental time reduction and increase, respectively, of over 2 days and 4 days relative to the control (a co-isogenic P-element insertion free line). In addition, a subset of 42 lines selected at random from the initial set of 179 lines was screened at 17°C. Interestingly, the gene-by-environment interaction accounted for 52% of total phenotypic variance. Plastic reaction norms were found for a large number of developmental time candidate genes.

Conclusion

We identified components of several integrated time-dependent pathways affecting egg-to-adult developmental time in Drosophila. At the same time, we also show that many heterochronic phenotypes may arise from changes in genes involved in several developmental mechanisms that do not explicitly control the timing of specific events. We also demonstrate that many developmental time genes have pleiotropic effects on several adult traits and that the action of most of them is sensitive to temperature during development. Taken together, our results stress the need to take into account the effect of environmental variation and the dynamics of gene interactions on the genetic architecture of this complex life-history trait.

A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula

BACKGROUND

Medicago truncatula is a model legume species that is currently the focus of an international genome sequencing effort. Although several different oligonucleotide and cDNA arrays have been produced for genome-wide transcript analysis of this species, intrinsic limitations in the sensitivity of hybridization-based technologies mean that transcripts of genes expressed at low-levels cannot be measured accurately with these tools. Amongst such genes are many encoding transcription factors (TFs), which are arguably the most important class of regulatory proteins. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is the most sensitive method currently available for transcript quantification, and one that can be scaled up to analyze transcripts of thousands of genes in parallel. Thus, qRT-PCR is an ideal method to tackle the problem of TF transcript quantification in Medicago and other plants.

RESULTS

We established a bioinformatics pipeline to identify putative TF genes in Medicago truncatula and to design gene-specific oligonucleotide primers for qRT-PCR analysis of TF transcripts. We validated the efficacy and gene-specificity of over 1000 TF primer pairs and utilized these to identify sets of organ-enhanced TF genes that may play important roles in organ development or differentiation in this species. This community resource will be developed further as more genome sequence becomes available, with the ultimate goal of producing validated, gene-specific primers for all Medicago TF genes.

CONCLUSION

High-throughput qRT-PCR using a 384-well plate format enables rapid, flexible, and sensitive quantification of all predicted Medicago transcription factor mRNAs. This resource has been utilized recently by several groups in Europe, Australia, and the USA, and we expect that it will become the 'gold-standard' for TF transcript profiling in Medicago truncatula.

A transgenic dTph1 insertional mutagenesis system for forward genetics in mycorrhizal phosphate transport of Petunia

The active endogenous dTph1 system of the Petunia hybrida mutator line W138 has been used in several forward-genetic mutant screens that were based on visible phenotypes such as flower morphology and color. In contrast, defective symbiotic phosphate (P(i)) transport in mycorrhizal roots of Petunia is a hidden molecular phenotype as the symbiosis between plant roots and fungi takes place below ground, and, while fungal colonization can be visualized histochemically, P(i) transport and the activity of P(i) transporter proteins cannot be assessed visually. Here, we report on a molecular approach in which expression of a mycorrhiza-inducible bi-functional reporter transgene and insertional mutagenesis in Petunia are combined. Bi-directionalization of a mycorrhizal P(i) transporter promoter controlling the expression of two reporter genes encoding firefly luciferase and GUS allows visualization of mycorrhiza-specific P(i) transporter expression. A population of selectable transposon insertion mutants was established by crossing the transgenic reporter line with the mutator W138, from which the P(i)transporter downregulated (ptd1) mutant was identified, which exhibits strongly reduced expression of mycorrhiza-inducible P(i) transporters in mycorrhizal roots.

Mutagenesis in Petunia x hybrida Vilm. and isolation of a novel morphological mutant

Traditionally, mutagenesis has been used to introduce novel genetic variability in ornamental crops. More recently, it has become a powerful tool in gene discovery and functional analyses in reverse genetics approaches. The present work aimed to compare the efficiency of physical and chemical agents in generating mutant populations of petunia. We have indirectly evaluated the genomic damage by analyzing developmental characteristics of the plantlets derived from treated seeds employing gamma radiation at 0, 20, 40, 60, 80 and 100 Gy and the alkylating agent ethyl-methanesulfonate (EMS) at 0, 0.05, 0.1, 0.15, 0.2 and 0.25% (v/v). Gamma rays and EMS caused developmental defects and decreased seedling viability in plants obtained from the mutagenized seeds. High mutagen doses reduced in approximately 44% the number of plants with primary leaves at 15 days after sowing (DAS) and decreased seedling survival rates to 55% (gamma) and 28% (EMS), in comparison to untreated controls. Seedling height decrease was proportional to increasing EMS dosage, whereas 40 and 60 Gy of gamma irradiation caused the most significant reduction in height. Moderate DNA damage allowing a high saturation of mutant alleles in the genome and the generation of viable plants for reverse genetics studies was correlated to the biological parameter LD50, the dose required to kill half of the tested population. It corresponded to 100 Gy for gamma radiation and 0.1% for EMS treatment. The optimized mutagen treatments were used to develop petunia mutant populations (M1 and M2) and novel morphological mutants were identified.

Plant systems biology comes of age

'Omics' research approaches have produced copious data for living systems, which have necessitated the development of systems biology to integrate multidimensional biological information into networks and models. Applications of systems biology to plant science have been rapid, and have increased our knowledge about circadian rhythms, multigenic traits, stress responses and plant defenses, and have advanced the virtual plant project.

Detecting polymorphic regions in Arabidopsis thaliana with resequencing microarrays

Whole-genome oligonucleotide resequencing arrays have allowed the comprehensive discovery of single nucleotide polymorphisms (SNPs) in eukaryotic genomes of moderate to large size. With this technology, the detection rate for isolated SNPs is typically high. However, it is greatly reduced when other polymorphisms are located near a SNP as multiple mismatches inhibit hybridization to arrayed oligonucleotides. Contiguous tracts of suppressed hybridization therefore typify polymorphic regions (PRs) such as clusters of SNPs or deletions. We developed a machine learning method, designated margin-based prediction of polymorphic regions (mPPR), to predict PRs from resequencing array data. Conceptually similar to hidden Markov models, the method is trained with discriminative learning techniques related to support vector machines, and accurately identifies even very short polymorphic tracts (<10 bp). We applied this method to resequencing array data previously generated for the euchromatic genomes of 20 strains (accessions) of the best-characterized plant, Arabidopsis thaliana. Nonredundantly, 27% of the genome was included within the boundaries of PRs predicted at high specificity ( approximately 97%). The resulting data set provides a fine-scale view of polymorphic sequences in A. thaliana; patterns of polymorphism not apparent in SNP data were readily detected, especially for noncoding regions. Our predictions provide a valuable resource for evolutionary genetic and functional studies in A. thaliana, and our method is applicable to similar data sets in other species. More broadly, our computational approach can be applied to other segmentation tasks related to the analysis of genomic variation.

Systems approaches to identifying gene regulatory networks in plants

Complex gene regulatory networks are composed of genes, noncoding RNAs, proteins, metabolites, and signaling components. The availability of genome-wide mutagenesis libraries; large-scale transcriptome, proteome, and metabalome data sets; and new high-throughput methods that uncover protein interactions underscores the need for mathematical modeling techniques that better enable scientists to synthesize these large amounts of information and to understand the properties of these biological systems. Systems biology approaches can allow researchers to move beyond a reductionist approach and to both integrate and comprehend the interactions of multiple components within these systems. Descriptive and mathematical models for gene regulatory networks can reveal emergent properties of these plant systems. This review highlights methods that researchers are using to obtain large-scale data sets, and examples of gene regulatory networks modeled with these data. Emergent properties revealed by the use of these network models and perspectives on the future of systems biology are discussed.

Germline transformation of Shepherd's purse (Capsella bursa-pastoris) by the 'floral dip' method as a tool for evolutionary and developmental biology

Capsella bursa-pastoris is an attractive model system for evolutionary and developmental biology. To facilitate future studies on gene function, the 'floral dip' method was adapted to achieve germline transformation of C. bursa-pastoris. The GFP and BASTA-resistance (BAR (r)) genes were used as markers for screening or selecting, respectively, putative transgenic C. bursa-pastoris plants and the beta-glucuronidase (GUS) gene as well as the GFP gene for monitoring transgene expression level. We tested two Agrobacterium strains, LBA4404 and GV3101, for their ability to transform C. bursa-pastoris. In contrast to Arabidopsis thaliana, for which both strains were able to transform different ecotypes, only GV3101 gave satisfactory transformation rates with C. bursa-pastoris. Furthermore, we evaluated the effects of different concentrations of sucrose and the surfactant Silwet L-77 on the efficiency to generate transgenic C. bursa-pastoris plants and identified an efficient medium containing 10% (w/v) sucrose and 0.02-0.05% (v/v) Silwet L-77. Using Southern hybridisation, we confirmed the integration of the marker gene in the plant genome and the stable heredity of the introduced genes in the next generation.

A modified protocol for rapid DNA isolation from plant tissues using cetyltrimethylammonium bromide

We describe a modification of the DNA extraction method, in which cetyltrimethylammonium bromide (CTAB) is used to extract nucleic acids from plant tissues. In contrast to the original method, the modified CTAB procedure is faster, omits the selective precipitation and CsCl gradient steps, uses less expensive and toxic reagents, requires only inexpensive laboratory equipment and is more readily adapted to high-throughput DNA extraction. This protocol yields approximately 5-30 microg of total DNA from 200 mg of tissue fresh weight, depending on plant species and tissue source. It can be completed in as little as 5-6 h.

Salicylic acid, yersiniabactin, and pyoverdin production by the model phytopathogen Pseudomonas syringae pv. tomato DC3000: synthesis, regulation, and impact on tomato and Arabidopsis host plants

A genetically tractable model plant pathosystem, Pseudomonas syringae pv. tomato DC3000 on tomato and Arabidopsis thaliana hosts, was used to investigate the role of salicylic acid (SA) and iron acquisition via siderophores in bacterial virulence. Pathogen-induced SA accumulation mediates defense in these plants, and DC3000 contains the genes required for the synthesis of SA, the SA-incorporated siderophore yersiniabactin (Ybt), and the fluorescent siderophore pyoverdin (Pvd). We found that DC3000 synthesizes SA, Ybt, and Pvd under iron-limiting conditions in culture. Synthesis of SA and Ybt by DC3000 requires pchA, an isochorismate synthase gene in the Ybt genomic cluster, and exogenous SA can restore Ybt production by the pchA mutant. Ybt was also produced by DC3000 in planta, suggesting that Ybt plays a role in DC3000 pathogenesis. However, the pchA mutant did not exhibit any growth defect or altered virulence in plants. This lack of phenotype was not attributable to plant-produced SA restoring Ybt production, as the pchA mutant grew similarly to DC3000 in an Arabidopsis SA biosynthetic mutant, and in planta Ybt was not detected in pchA-infected wild-type plants. In culture, no growth defect was observed for the pchA mutant versus DC3000 for any condition tested. Instead, enhanced growth of the pchA mutant was observed under stringent iron limitation and additional stresses. This suggests that SA and Ybt production by DC3000 is costly and that Pvd is sufficient for iron acquisition. Further exploration of the comparative synthesis and utility of Ybt versus Pvd production by DC3000 found siderophore-dependent amplification of ybt gene expression to be absent, suggesting that Ybt may play a yet unknown role in DC3000 pathogenesis.

Size control goes global

The size of cells, tissues and organisms is a fundamental yet poorly understood attribute of biological systems. Traditional difficulties in interrogating the basis for size regulation have been surmounted by recent systematic phenotypic analyses. Genome-wide size screens in yeast suggest that ribosome biogenesis rate dictates cell size thresholds, whereas analogous RNAi-based size screens in metazoans cells reveal further connections between cell size and translation, as well as myriad other pathways. Sophisticated genetic screens in flies have delineated the new Hippo-signalling pathway that controls tissue and organ size. While the plethora of genes that alter size phenotypes at present defies a unified model, systems-level analysis suggests many new inroads into the longstanding enigma of size control.

Towards in vitro genetics

Understanding how variation is controlled in complex traits is a major challenge. Combining forward and reverse genetics to study the gene expression signatures of quantitative trait loci and candidate genes has enabled the dissection of complex traits. However, this approach cannot be implemented in vivo in many species. The recent development of a cell-line-based connectivity map demonstrates that gene signatures can be conserved across tissues and species, and that in vitro approaches are relevant to the whole organism. Thus, we propose that the in vitro study of gene expression, using both natural variation and perturbations induced, for example, by RNA interference, might provide a rapid and effective method for complex trait dissection in many species, including humans.

Top-down phenomics of Arabidopsis thaliana: metabolic profiling by one- and two-dimensional nuclear magnetic resonance spectroscopy and transcriptome analysis of albino mutants

Elucidating the function of each gene in a genome is important for understanding the whole organism. We previously constructed 4000 disruptant mutants of Arabidopsis by insertion of Ds transposons. Here, we describe a top-down phenomics approach based on metabolic profiling that uses one-dimensional 1H and two-dimensional 1H,13C NMR analyses and transcriptome analysis of albino mutant lines of Arabidopsis. One-dimensional 1H NMR metabolic fingerprinting revealed global metabolic changes in the albino mutants, notably a decrease in aromatic metabolites and changes in aliphatic metabolites. NMR measurements of plants fed with 13C6-glucose showed that the albino lines had dramatically different 13C-labeling patterns and increased levels of several amino acids, especially Asn and Gln. Microarray analysis of one of the albino lines revealed a unique expression profile and showed that changes in the expression of genes encoding metabolic enzymes did not correspond with changes in the levels of metabolites. Collectively, these results suggest that albino mutants lose the normal carbon/nitrogen balance, presumably mainly through lack of photosynthesis. Our study offers an idea of how much the metabolite network is affected by chloroplast function in plants and shows the effectiveness of NMR-based metabolic analysis for metabolite profiling. On the basis of these findings, we propose that future investigations of plant systems biology combine transcriptomic, metabolomic, and phenomic analyses of gene disruptant lines.

RNAi for revealing and engineering plant gene functions

RNA interference (RNAi) is now widely used in plant biotechnology, both as a useful tool for discovering or validating gene functions as well as a quick way of engineering specific reductions in expression of chosen genes. Although the amazing popularity of RNAi as a biotechnology tool is certainly justified, the underlying biology is still being worked out and the relative advantages and disadvantages of the approach are only now becoming clear. Recent breakthroughs in elucidating the multiple pathways of RNA-based post-transcriptional control and preliminary results from the first large-scale uses of RNAi in plants will make it easier to gauge the usefulness of the technique. To fully capitalize on the potential of RNAi, we need to become better at predicting and controlling its effects.

Transcript profiling in host-pathogen interactions

Using genomic technologies, it is now possible to address research hypotheses in the context of entire developmental or biochemical pathways, gene networks, and chromosomal location of relevant genes and their inferred evolutionary history. Through a range of platforms, researchers can survey an entire transcriptome under a variety of experimental and field conditions. Interpretation of such data has led to new insights and revealed previously undescribed phenomena. In the area of plant-pathogen interactions, transcript profiling has provided unparalleled perception into the mechanisms underlying gene-for-gene resistance and basal defense, host vs nonhost resistance, biotrophy vs necrotrophy, and pathogenicity of vascular vs nonvascular pathogens, among many others. In this way, genomic technologies have facilitated a system-wide approach to unifying themes and unique features in the interactions of hosts and pathogens.