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Full Text - Research Information Ltd
HERBICIDES DISCOVERING NEW MODES OF ACTION FOR HERBICIDES AND THE IMPACT OF GENOMICS David Cole, Ken Pallett and Matthew Rodgers of Aventis CropScience explain the need for new modes of herbicide action and how plant genomics are revolutionising this quest Introduction Most herbicides work by interfering with the unique biochemistry of plants, acting at single molecular sites to inhibit specific processes and simultaneously causing severe disruption of the plant’s metabolism. Herbicides are usually inhibitors of specific enzymes and bind either at the active site of the enzyme or at some domain removed from the active site. An unsurprising consequence is that although herbicides acting at one single target may be sub-classified into ‘families’ of chemistry, such compounds tend to share similar overall properties. That is, their application rates, performance, environmental fate and “off target” impact, each fall within a predictable envelope. Put simply, their “strengths” and “weaknesses” tend to be similar. Since both the market and regulatory environments are constantly evolving there is an eagerness for product novelty across all agrochemical sectors. Witness, for example, the phenomenal success of contemporary chemistries such as the sulfonylurea herbicides, the strobilurin fungicides or the flurry of new insecticide classes. Unlike disease or insect control, biotechnology is not going to erode the market for chemically based weed control and the need for innovation in herbicide discovery is now paramount. The need for new modes of action Empirical screening of chemicals on whole target organisms over the last forty years has led to over 270 herbicide active ingredients on the market, which possess seventeen identifiable modes of action (Table 1). The mode of action of new herbicide chemistries has always been discovered in retrospect, although concerted attempts have subsequently been made to use this knowledge to assist in the discovery and optimisation of further examples. Onlookers to the industry ceaselessly display bemusement at the seemingly scattershot ‘spray and pray’ methods underlying product discovery and the apparent lack of rationality involved. The random nature of preliminary screens does tend to detract from the considerable science and multidisciplinarity involved in the subsequent optimisation and tailoring of ‘lead’ chemistry. It is nevertheless a proven and highly successful approach and has long been the mainstay of both the agrochemical and pharmaceutical industries. In recent years, this approach has been revolutionised by the advent of the powerful parallel synthesis technology of combinatorial chemistry and the need to minimise costs by screening reduced quantities of chemical linked to the attendant implementation of highthroughput screens, miniaturisation and automation (Steinrücken and Hermann, 2000). DOI: 10.1039/b009272j Table 1. The target sites or modes of action of commercial herbicides. Over fifty per cent of herbicides inhibit only three targets Target Number of herbicides Photosystem II Acetolactate synthase Protoporphyrinogen IX oxidase Auxin mimics Acetyl CoA carboxylase Non-specific chloracetanilide target Cell division Phytoene desaturase Hydroxyphenylpyruvate dioxygenase Oxidative phosphorylation Cellulose biosynthesis Photosystem I Auxin transport Enolpyruvylshikimate phosphate synthase Dihydropteroate synthetase Glutamine synthetase Lycopene cyclase Unknown or not stated 59 43 28 (–3) 20 16 15 14 11 3 (+3) 3 2 2 1 1 1 1 1 48 TOTAL 272 Updated from Pillmoor et al. (1995) and Pallett (1997). Modes of action for which the precise molecular target(s) have not necessarily been identified are italicised. The figures in parentheses highlight three benzoyl pyrazole herbicides (pyrazolynate, pyrazoxyfen and benzofenap) previously classified as Protox inhibitors but now identified as proherbicides of HPPD inhibitors (Pallett, 2000). A closer look at Table 1, however, reveals some concerns. Of these active ingredients, around half of them act on one of three molecular targets: photosystem II, acetolactate synthase (ALS) and protoporphyrinogen IX oxidase (Protox). Furthermore, when we consider specifically the new herbicides introduced in the last decade, this trend becomes even more exaggerated. Well over half of these more recent introductions are either inhibitors of ALS or Protox. Among these products, only two new modes of action can be identified of which hydroxyphenylpyruvate dioxygenase (HPPD) has attracted much interest. Out of ten new herbicide active ingredients announced at the 1999 Brighton Crop Protection Conference, only one, diflufenzopyr, could be considered to have an apparent new mode of action (auxin transport). The technical and environmental profiles Pe stic i de Ou tl ook – De cem be r 200 0 This journal is © The Royal Society of Chemistry 2000 223 HERBICIDES of these groups of herbicides will be broadly similar and therefore this apparent diversity of active ingredients is somewhat illusory. Before identifying how new modes of action and therefore new chemistries can be sought, it is worth considering the pressures, constraints and opportunities encountered by herbicides in the new millennium. These can be summarised thus: ● evolving standards in environmental protection and food quality can mean restriction, or cancellation of products which give rise to unacceptable residues ● limited tolerable residue burdens deriving from similar chemistries – filling of ‘risk cup’ ● decreasing application rates to reduce environmental impact ● reduction in cost of weed control due to agricultural recession, overproduction of food and withdrawal of farming subsidies (in the developed world) ● increase in generic (off-patent) herbicide business and attendant pressure on market prices. ● impact of adoption of crops engineered for tolerance to a few established ‘total’ weedkillers, e.g. glyphosate ● appearance of biotypes of weeds resistant to herbicides – these often mimic the protection mechanisms of the crop, especially in the case of grass weeds in grassy crops ● changing cultural practices, such as reduced tillage, Integrated Weed Management, trend to post-emergence herbicides for use flexibility and spray-by-need Threats are often simultaneously opportunities and enable both replacement and complementation strategies within an essentially static market. Restrictions placed on use of some older products are an opportunity for more sophisticated and environmentally compatible chemistries. The widespread adoption of crops tolerant to ‘total’ herbicides such as glyphosate are perceived to erode the markets for competitors. However, the shifts in weed spectrum and the appearance of resistant weeds which are inevitable results of repeated use of single class herbicides will provide markets for differentiated herbicides having complementary modes of action and technical profiles. Not least, these will be necessary in order to sustain the long-term market viability of ‘total’ herbicides and herbicide-tolerant crops. ● low abundance in the plant ● target inhibition is able to induce ‘catastrophic’ secondary effects on plant metabolism This last point is particularly noteworthy. In aiming to kill plants it is not sufficient simply to inhibit essential metabolic processes. Additional events metabolically upstream or downstream of the target must take place, amounting to an uncontrolled cascade of biochemical events. These amplify the original impact of the herbicide and overwhelm the cell, the normal control of metabolic and protective mechanisms or subcellular integrity. Often, such events have proved to be hard to predict from limited ‘textbook’ knowledge of plant metabolism current at the time such target sites were discovered. Broadly, it can be argued that we still do not know in detail how plants actually die as a result of inhibition of some known targets. However, secondary catastrophic effects are now established in a number of cases (Table 2). The ways in which such secondary effects occur are highly contrasting. Inhibition of Protox generates accumulation of photoreactive porphyrin substrate resulting from the different subcellular locations of multiple Protox and ‘Protox-like’ enzyme forms differentially sensitive to the herbicides. The uncontrolled accumulation of shikimate (phosphate) product of enolpyruvylshikimate phosphate synthase (EPSPS) in the presence of glyphosate drains the cells of other carbon skeletons. Several recent herbicides such as isoxaflutole, mesotrione and sulcotrione inhibit HPPD, a target site of current intense interest in the industry (Pallett, 2000) (Figure 1). It is proposed that there are three independent cascades of events arising from inhibition of HPPD which all contribute to the death of the plant (Figure 2). Identification of new targets Apart from whole organism screening three approaches have been taken in the past to identify new and effective targets. The most popular has been to select known plant enzymes ‘Ideal’ herbicide targets The predominance of a few superior sites of action so far can be understood when we consider the attributes required in preferred herbicide targets: ● plant-specific for low non-target (toxicological and ecotoxicological) impact ● ability to bind diverse types of chemical inhibitors ● low metabolic turnover 224 Pe s t i c i d e Outl o ok – D ece m ber 20 00 Figure 1. Structure of the new corn weed herbicide isoxaflutole (BalanceTM, MerlinTM ), its diketonitrile herbicidal product, RPA 202248, sulcotrione (GalleonTM) and mesotrione. The diketonitrile of isoxaflutole is rapidly formed following uptake into the plant (Pallett, 2000) HERBICIDES Table 2. Primary and secondary effects linked to selected herbicide targets Target Site Primary metabolic effect Secondary effects associated with lethality Photosystem II inhibition of photosynthetic electron transport singlet oxygen and triplet chlorophyll induced photo-oxidation Protox inhibition of chlorophyll biosynthesis accumulation of photodynamic porphyrins and lipid peroxidation ALS inhibition of branched chain amino acid biosynthesis accumulation of α-keto-butyrate/α-aminobutyrate? Enolpyruvylshikimate phosphate synthase inhibition of aromatic amino acid biosynthesis shikimate pathway deregulation; accumulation of shikimate and shikimate phosphate Phytoene desaturase inhibition of carotenoid biosynthesis absence of chloroplast development in developing leaves HPPD inhibition of plastoquinone and α-tocopherol biosynthesis inactivation of phytoene desaturase, absence of chloroplast development, lipid peroxidation and tyrosine accumulation from literature on an inspirational basis, and to prepare and test inhibitors designed following inspection of the enzyme’s reaction mechanisms (Pillmoor et al., 1995). Such compounds can be potent enzyme inhibitors in vitro, but more often than not, have limited herbicidal activity in biological tests. Other possible approaches are to elucidate the as yet ‘unknown’ modes of action of many established herbicides (Table 1; Schmalfuss et al., 2000), or to consider the target sites of herbicidal natural products (Duke et al., 1997). These approaches have now largely been eclipsed by power- ful genomic technologies which can be used in tandem with bioinformatics to identify systematically every gene necessary for plant growth and survival. Targeted gene silencing can then be used to identify how sensitive the plant is to disruption of gene product action. This can lead to selection of a subset of novel proteins which by analogy may be good ‘targets’ to screen for novel herbicides. Alternatively, studying the expression of genes on a massive and parallel scale using microarrays shows potential in elucidating the mode of action of herbicides discovered in conventional biological screens, as we explain later. Plant genomics offers an unparalleled opportunity to uncover all potential herbicide targets heralding a new era of discovery where value-added new high-throughput screens are an integral part of lead identification. Genomics for new targets Figure 2. Phytotoxic secondary effects resulting from inhibition of hydroxyphenylpyruvate dioxygenase (HPPD). Plastoquinone and α-tocopherol are metabolic products of homogentisate, the product of HPPD and inhibition of HPPD results in their depletion. Hydroxyphenylpyruvate is the substrate of HPPD formed from the deamination of tyrosine and inhibition of HPPD can lead to the accumulation of free tyrosine in phytotoxic amounts. These two secondary effect of HPPD inhibition contribute to the effective herbicidal activity of HPPD inhibitors (Pallett, 2000). As we write, the sequencing of the first entire plant genome, that of Arabidopsis thaliana, is all but complete. Arabidopsis has become the organism of choice for plant genomics because of its rapid life cycle, prolific seed pro d u c t i on, small genome, and familiar biology. Knowledge of its genomic DNA sequence will ultimately allow identification of approximately 25,000 genes encoded in its five chromosomes. It is hard to obtain an accurate figure for the subset of genes in A. thaliana critical for growth and survival, but estimates suggest that this could be between one thousand and two thousand (Cole and Rodgers, 2000). Many of these, of course, would not encode useful herbicide targets. Some proteins may not be amenable to binding herbicides and others may be in areas of metabolism that are best avoided due to potential animal toxicology issues. Furthermore, a large Pe sti c ide Ou tl ook – De ce mbe r 20 0 0 225 HERBICIDES number of these genes have no known function and, although this does not limit their potential as in vivo targets, their possibilities as high throughput in vitro screening targets are limited. In the past the exploitation of potential new herbicide targets for in vitro screening was limited by and depended on a rich natural source of the enzyme, or on the lengthy process of protein purification, cloning and over-expression. The increasing availability of genomic data from large numbers of organisms now allows the rapid identification of genes of interest by similarity to previously identified genes from other sources. As a consequence, genes selected by mining knowledge of metabolic pathways can be rapidly cloned and over expressed for in vitro analysis and for use in high throughput biochemical screening. Nevertheless, in order to validate the use of such targets in screens, we must be certain that inhibition of the target is lethal to the plant. By definition, if the potential target is novel then there are unlikely to be readily available small molecule inhibitors for validation. Knowledge of the reaction mechanism might enable the production of reaction state intermediate analogues for use as inhibitors in vitro but there is no guarantee that such molecules will be active in vivo. Evidence that the enzyme candidate is essential to the plant can be gleaned from antisense experiments in which gene expression is depressed in the plant following engineering with a reverse-orientated gene coding sequence. Such experiments provide two important pieces of information. Firstly, the knock-out of gene expression confirms whether the enzyme of interest is essential for the survival of the plant and points to the symptoms to be expected from inhibitors acting on it. Secondly, since antisense lines vary in the level of messenger RNA (mRNA) suppression and thus in the level of remaining enzyme activity, it is possible to determine the degree of mRNA suppression or enzyme activity quenching that is required to cause the onset of severe symptoms or plant death. This can then be used to rank the favourability of the target. The amount of enzyme activity reduction required for lethality in commercial herbicide targets is not clear. However, it appears that complete inhibition of enzyme activity at these targets is not necessary for plant death (Abell, 1996). In mutant plants with reduced amounts of glutamine synthetase activity, the target of glufosinate, reduction in glutamine synthetase activity of only 38% was sufficient to cause severe abnormalities (Blackwell et al., 1987). Antisense knock-out of acetolactate synthase (ALS), the target site of the sulfonylureas, imidazolinones and triazolopyrimidines, can produce plants displaying a range of ALS inhibitor-like symptoms such as growth retardation and necrosis (Hofgen et al., 1995). Such directed knock-outs allow the screening of enzymes whose inhibition might be expected to have catastrophic effects in the plant, based on a knowledge of pathway dynamics. However, our knowledge of biochemical pathways in plants is incomplete and the next major herbicide target may lie in an unexpected area of metabolism. Moreover, the sequencing of complete genomes has revealed the presence of large numbers of genes with no known function – so called “orphan genes”. Some of these may also prove to 226 Pe s t i c i d e Ou tl ook – D ece mbe r 20 00 be useful herbicide targets. Consequently, a number of tools have been developed that attempt to screen all the genes present in the plant genome for potential herbicide targets. Antisense quenching of enzyme activity can be extended to genome-wide analysis. Inserts from a cDNA library can be used in the antisense orientation, to transform plants for the inhibition of expression of a variety of genes. Such a plant collection can then be examined for mimics of herbicide symptoms such as albinism, stunting, necrosis, deformation, chlorosis, scorching of tissues, lack of germination or seedling lethality. Such a task is not trivial, but is now beginning to be explored for the assignment of gene function. Recently, large-scale collections of plant mutants based on a system of insertional mutagenesis have become available (Feldmann and Marks, 1987; Tissier et al., 1999). Developed primarily by biologists as tools for gene finding and functional genomics, they can be put to use for the identification of potential new herbicide targets. Insertional mutagenesis is the process whereby a length of DNA of known sequence is deliberately integrated into the genome at random, disrupting the sequence of any gene within which it might insert. If this sequence is introduced into coding or regulatory regions then the gene is mutated or functionally knocked out altogether (Figure 3). Among these gene knock-out lines are herbicide symptom mimics, resulting from the knock out of critical genes (Figure 4). Having selected the mutants showing interesting phenotypes, the unique sequence of the so called “gene tag” allows the straightforward determination of the DNA sequence bordering the point of insertion. The availability of the complete genome sequence of A. thaliana means that only a relatively short piece of sequence bordering the insertion allows the position of the insertional mutagen to be identified uniquely. The genome region around it can then be analysed to determine the nature of the disrupted gene. The availability of reliable techniques for large-scale A. thaliana transformation has made possible the construction of large collections, typically of around one hundred thousand lines, that should contain mutants for almost every gene, allowing each gene to be surveyed for its suitability as a herbicide target. Populations of tagged mutants can be used not only in the so called “forward genetics” mode where plants with the phenotype of interest are analysed to determine the gene disrupted, but also in the “reverse genetics” mode. Once a Figure 3. The principle of insertional mutagenesis. HERBICIDES Figure 4. Arabidopsis thaliana T-DNA insertion mutant displaying pigment deficiency and dwarfing (lower plants), compared to wild type plants. population is established, the plant line carrying a disrupted version of a gene can be located and its phenotype determined (Winkler and Feldmann, 1998). This is quicker than using antisense to verify the effect of reduced gene expression, but precludes relating expression level to severity of phenotype. Two systems are available for insertional mutagenesis, based on tagging with either T-DNA or transposons. T-DNA tagging makes use of the ability of the plant pathogen Agrobacterium tumefaciens, to insert a small segment of DNA, the so-called “transfer DNA” (T-DNA), into the plant genome. On the other hand, transposon tagging makes use of naturally mobile genetic elements, transposons, that are capable of jumping from the genome and re-inserting at a different genomic site. Although naturally occurring, active transposons, native to the plant of interest can be used as insertional mutagens these elements can also be modified and transferred from one species to another. brought about by inhibition of the target. These latter perturbations in transcription pattern should be diagnostic of the mode of action of the herbicide, at the pathway or even the target site level. Until recently however, there was no method available for the multi-parallel analysis of populations of messenger RNA, to enable this to be done. The large-scale generation of DNA sequence data has allowed the development of several technologies that enable the examination of expression levels of many genes at once (Baldwin et al., 1999). For example, arrays of individual DNA species can be attached to solid supports. These arrays carry representatives of almost the entire complement of genetic messages produced by the plant. By probing them with total plant mRNA, reverse transcribed into fluorescently labelled DNA, changes in the levels of the individual and corresponding mRNA species brought about by the plant’s developmental status can be followed (Aharoni et al., 2000). The effect of treatment with herbicide on the pattern of transcription can be visualised in the same way (Figure 5). Such experiments generate huge amounts of data and the real science now lies in learning to sift out and interpret the significant information. In contrast to the methods available for multi-parallel analysis of gene transcripts in plants, methods available for the analysis of the protein complement, or proteome, offer a smaller window on the cell. Widely available proteomics Genomics for mode of action determination As we have already seen, using the technologies outlined above, scientists are beginning to piece together a catalogue of critical genes which might represent lethal target sites in plants. However, genomics can also find use in traditional herbicide discovery methods to help identify the mode of action of new “leads” found through whole plant screening of candidate herbicides. A catalogue of these targets will provide a useful triage tool for the determination of mode of action. A collection of all known lethal insertions or antisense knock outs related to their phenotype will be a powerful method to separate targets causing bleaching from those causing scorching for example, thus narrowing down the search for mode of action. In conjunction with other target site identification technologies, this could be a significant help in selecting and fast-tracking exciting leads. The treatment of plants with lethal enzyme inhibitors causes profound changes in the metabolism of the plant. These changes in turn can be expected to lead to changes in the transcription pattern of genes. Some of these changes will be a general response of the plant to foreign chemicals and later to cell death, but some changes will be specifically Figure 5. False colour image of Arabidopsis DNA microarray following hybridisation to plant mRNA. The colours and intensities of the spots indicate the source (e.g. treatment type) and the degree of expression respectively of the individual genetic message. Pe st ic id e Ou tl oo k – De ce m be r 20 0 0 227 HERBICIDES technologies rely upon the separation of the protein complement using two dimensional electrophoresis. In this way, up to two thousand spots can be viewed on a single gel slab. Individual proteins are identified either by peptide sequencing, or by comparing the mass of digested peptides to a database of predicted protein fragments. It is hard to estimate what proportion of the protein complement is represented but proteins located in the cellular membranes and other very poorly soluble proteins are likely to be missed. The technique is also limited by current separation and detection procedures. Nevertheless its potential for identifying proteins regulated in response to inhibitor treatment has been proven in yeast, where the potential number of encoded proteins is much lower. Expression profiling experiments and proteomics gels are promising routes to the identification of unknown targets and, through the identification of co-regulated genes, can also give clues to the function of the potential target or pathway if it is not already known. Furthermore, novel pathways identified in this way might also provide a source of new targets. Concluding remarks Plant genomics will deliver a plethora of new candidate targets, based on genetic validation. However, relatively few of these will satisfy the needs of high-throughput biochemical screening. High quality targets must have an acceptable ‘hit’ rate in effectively binding potential chemical inhibitors, they should mediate plant-specific activity and inhibition must lead to devastating secondary effects on plant metabolism. Crucially, functional assays must be simple, economic and amenable to industrialisation. Such screens must be integrated to add value to the discovery process. Unlike the pharmaceutical industry, whole organism screening will remain central to agrochemical discovery. High-throughput biochemical screens must therefore add something special. These can for example, allow the detection of hits that may be missed in glasshouse screens due to poor plant bioavailability, or can allow the rapid and thorough evaluation of a target site by concerted screening against diverse sets of chemistry. Structure activity relationships can provide inspiration for further chemical synthesis based on binding hypotheses or single parameter data not available from glasshouse screening. Further rationalisation of activities downstream of genomics such as high-throughput x-ray crystallography for three-dimensional analysis of protein-inhibitor interactions (structural genomics) will assist in developing ‘virtual’ or ‘in silico’ screening of chemistry. Greater reliance on high-throughput biochemical screening will necessitate an improved ability to convert in vitro hits into biologically active molecules through a better understanding of whole plant-compound interactions and improved test systems for this. As in the past, the keys to successful discovery remain: ● the quality and diversity of chemistry supplying the screens 228 Pe s t i c i d e Ou tl ook – D ece mbe r 20 00 ● intelligent and adept integration of technologies, understanding the strengths and limits of each ● ability to identify and capitalise on the unexpected To these, of course, add a degree of luck! Acknowledgement We thank Monique Guis for providing Figure 5. References Abell, L. (1996) Biochemical approaches to herbicide discovery: advances in enzyme target identification and inhibitor design. Weed Science, 44, 734–742. Aharoni, A.; Keizer, L. C.; Bouwmeester, H. J.; Sun, Z.; AlvarezHuerta, M.; Verhoeven, H. A.; Blaas, J., van Houwelingen, A. M.; De Vos, R. C.; van der Voet, H.; Jansen, R. C.; Guis, M.; Mol, J.; Davis, R. W.; Schena, M.; vanTunen, A. J.; O’Connell, A. P. (2000) Identification of the SAAT gene involved in strawberry flavour biogenesis by use of DNA microarrays. Plant Cell, 12, 647–642. Baldwin, D.; Crane, V.; Rice, D. A. (1999) Comparison of gelbased, nylon filter and microarray techniques to detect differential RNA expression in plants. Current Opinion in Plant Biology, 2, 196–103. Blackwell, R. D.; Murray, A. J. S.; Lea, P. J. (1987) Inhibition of photosynthesis in barley with decreased levels of glutamine synthetase activity. Journal of Experimental Botany, 38, 1799–1809. Cole, D. J.; Rodgers, M. W. (2000) Plant molecular biology for herbicide tolerance and new herbicide targets. In: Herbicides and Their Mechanisms of Action. (Eds. A. H. Cobb and R. C. Kirkwood) Sheffield Academic Press, Sheffield, pp 239–278. Duke, S. O.; Dayan, F. E.; Hernandez, A.; Duke, M. V.; Abbas, H. K. (1997) Natural products as leads for new herbicide modes of action. Proceedings of the Brighton Crop Protection Conference – Weeds, pp 579–586. Feldmann, K.; Marks, M. D., (1987) Agrobacterium-mediated transformation of germinating seeds of Arabidopsis thaliana, a non-tissue culture approach. Molecular and General Genetics, 208, 1–9. Hofgen, R.; Laber, B.; Schuttke, I.; Klonus, A.-K.; Streber, W.; Pohlenz, H.-D. (1995) Repression of acetolactate synthase activity through antisense inhibition. Plant Physiology, 107, 469–477. Pallett, K. E. (1997) Herbicide target sites, recent trends and new challenges. Proceedings of the Brighton Crop Protection Conference – Weeds, pp 575–578. Pallett, K. E. (2000) Mode of action of isoxaflutole – a case study of an emerging target site. In: Herbicides and Their Mechanisms of Action (Eds. A. H. Cobb and R. C. Kirkwood) Sheffield Academic Press, Sheffield, pp 215–238. Pillmoor, J. B.; Lindell, S. D.; Briggs, G. G.; Wright, K. (1995) The influences of molecular mechanisms of action on herbicide design. In: Proceedings of the Eighth International Congress of Pesticide Chemistry (Eds. N. N. Ragsdale, P. C. Kearney and J. R. Plimmer) America Chemical Society, Washington, D.C., pp 292–303 Schmalfuss, J.; Matthes, B.; Knuth, K.; Böger, P. (2000) Inhibition of acyl-CoA elongation by chloroacetamide herbicides in microsomes from leek seedlings. Pesticide Biochemistry and Physiology, 67, 25–35 Steinrücken, H. C. M.; Hermann, D. (2000) Speeding the search for crop protection chemicals. Chemistry and Industry, 246–249. Tissier A.; Marillonnet S.; Klimyuk V.; Patel K.; Torres M.; Murphy G.; and Jones J. (1999) Multiple independent Suppressor-mutator transposon insertions in Arabidopsis: a tool for functional genomics. The Plant Cell, 11, 1841–1852. HERBICIDES Winkler, R.; Feldmann K. (1998) PCR based identification of TDNA insertion mutants. In: Methods in Molecular Biology, Volume 82: Arabidopsis Protocols. (Eds. J. Martinez-Zapater and J. Salinas). Human Press Inc. NJ, pp 129–136. Further reading Gressel, J. G. (2000) Molecular biology of weed control. Transgenic Research, 9, 355–382. Saari, L. L. (1999) A prognosis for discovering new herbicide sites of action. In: Pesticide Chemistry and Bioscience. The FoodEnvironment Challenge. (Eds. G. T. Brooks and T. R. Roberts), Royal Society of Chemistry, Cambridge, pp 207–220. The authors have collectively 35 years experience in industrial herbicide discovery. They all share backgrounds in plant biochemistry and an interest in harnessing this in a practical way to assist herbicide discovery. David Cole and Matthew Rodgers are respectively Technology Liaison Manager and Herbicide Molecular Biology Team Leader at Aventis CropScience’s discovery centre in Ongar, Essex, UK. Ken Pallett is Head of Herbicide Biology and Global Biology Co-ordinator based at Aventis CropScience’s discovery centre at Frankfurt-am-Main, Germany. PREVIOUS PESTICIDE OUTLOOK ARTICLES ON WEED CONTROL Wheat herbicides – emerging resistance S. G. Lisansky 1990, 1(1), 9 Herbicide damage – tracking down the culprits D. J. Eagle 1991, 2(2), 13 Imidazolidinone herbicides D. Shaner 1991, 2(4), 21 Microbial herbicides M. P. Greaves 1993, 4(4), 20 Use of herbicides on set-aside land N. W. Sotherton 1994, 5(2), 17 Introduction of herbicide selectivity D. J. Cole 1994, 5(3), 32 Biochemical basis of herbicide selectivity D. J. Cole 1995, 6(2), 14 Porphyrin-generating herbicides S. Duke 1996, 7(4), 22 Reduced herbicide inputs in Europe A. Nyffeler 1996, 7(5), 33 Isoxaflutole for weed control in maize B. M. Luscombe 1996, 7(6), 29 Aquatic weed control in the UK P. F. R. Barrett 1997, 8(2), 21 Bioherbicides – promide and prospects R. Wall 1997, 8(4), 29 Carotenoid biosynthesis inhibitor herbicides P. Boger 1998, 9(6), 29 ACCace inhibitor herbicides J. Harwood 1999, 10(4), 154 Managing weeds with natural products F. Dayan 1999, 10(5), 185 Future of grass weed management in the UK J. Clarke 2000, 11(2), 59 Control of invasive weeds in Australia S. Corey 2000, 11(3), 101 Noxious weed control in the USA A. Tasker 2000, 11(3), 104 Pe stic i de Ou tl ook – De cem be r 200 0 229