Genetic diversity and disease control in rice

Assessing the value of transgenic crops

In the current controversy about the value of transgenic crops, matters open to empirical inquiry are centrally at issue. One such matter is a key premise in a common argument (that I summarize) that transgenic crops should be considered to have universal value. The premise is that there are no alternative forms of agriculture available to enable the production of sufficient food to feed the world. The proponents of agroecology challenge it, claiming that agroecology provides an alternative, and they deny the claim that it is well founded on empirical evidence. It is, therefore, a matter of both social and scientific importance that this premise and the criticisms of it be investigated rigorously and empirically, so that the benefits and disadvantages of transgenic-intensive agriculture and agroecology can be compared in a reliable way. Conducting adequate investigation about the potential contribution of agroecology requires that the cultural conditions of its practice (and, thus, of the practices and movements of small-scale farmers in the "third world") be strengthened--and this puts the interests of investigation into tension with the socio-economic interests driving the development of transgenics. General issues about relationship between ethical argument and empirical (scientific) investigation are raised throughout the article.

DNA chips for yeast biotechnology. The case of wine yeasts

The yeast Saccharomyces cerevisiae is one of the most popular model organisms. It was the first eukaryote whose genome was sequenced. Since then many functional analysis projects have tried to find the function of many genes and to understand its metabolism in a holistic way. Apart from basic science this microorganism is of great interest in several biotechnology processes, such as winemaking. Only global studies of the cell as a whole can help us to understand many of the technical problems facing winemaking. DNA chip technology is one of the most promising tools for the analysis of cell physiology. Yeast has been the model organism for the development of this technique. Many of the studies can be applied to improve our knowledge of wine strains. Nevertheless wine strains are quite different in some aspects from the laboratory reference strains so a particular study of wine strains and especially during the winemaking process is needed. During the past two years some groups have started this study and the first results have been published. We review here the current state of the knowledge of wine yeast and the capacity of DNA chip technology for its improvement.

Yeast genomic expression studies using DNA microarrays

The exploration and characterization of yeast genomic expression programs is providing a wealth of information about yeast biology, as well as other organisms. The intriguing biology of yeast species invites characterization of genomic expression patterns to illuminate the details of cellular physiology. In addition to its value as an interesting organism, yeast maintains its role as an excellent model in which to characterize genomic expression programs. Microarray studies are quickly spreading to plant, animal, and microbial organisms that remain in the early stages of characterization. The extensive knowledge of yeast biology, as well as the relative ease with which yeast studies can be performed and controlled, facilitates interpretation of the genomic expression data. Importantly, existing information about yeast biology, including functional annotations for each gene, is captured and efficiently presented in databases such as the Saccharomyces Genome Database (SGD), the Munich Information Center Yeast Genome Database (MIPS), the Yeast and Pombe Protein Databases (YPD and PPD, respectively), and others. A number of databases also allow the exploration of published genomic expression studies, including the "Expression Connection" at SGD and the Microarray Global Viewer (yMGV) organized by Marc et al. Consulting these databases to retrieve known details about gene function and regulation vastly facilitates interpretation of the genomic expression data, allowing biological hypotheses to be formulated and tested. These hypotheses can be applied to other organisms that may execute genomic expression programs similar to those seen in yeast. Furthermore, as more genomic expression studies in multiple organisms emerge, large-scale data comparisons can be conducted, within and across organisms. Incorporating the results of yeast studies into such comparisons is certain to increase our understanding about the function, regulation, and evolution of genomic expression programs.

The role of sustainable agriculture and renewable-resource management in reducing greenhouse-gas emissions and increasing sinks in China and India

This paper contains an analysis of the technical options in agriculture for reducing greenhouse-gas emissions and increasing sinks, arising from three distinct mechanisms: (i) increasing carbon sinks in soil organic matter and above-ground biomass; (ii) avoiding carbon emissions from farms by reducing direct and indirect energy use; and (iii) increasing renewable-energy production from biomass that either substitutes for consumption of fossil fuels or replaces inefficient burning of fuelwood or crop residues, and so avoids carbon emissions, together with use of biogas digesters and improved cookstoves. We then review best-practice sustainable agriculture and renewable-resource-management projects and initiatives in China and India, and analyse the annual net sinks being created by these projects, and the potential market value of the carbon sequestered. We conclude with a summary of the policy and institutional conditions and reforms required for adoption of best sustainability practice in the agricultural sector to achieve the desired reductions in emissions and increases in sinks. A review of 40 sustainable agriculture and renewable-resource-management projects in China and India under the three mechanisms estimated a carbon mitigation potential of 64.8 MtC yr(-1) from 5.5 Mha. The potential income for carbon mitigation is $324 million at $5 per tonne of carbon. The potential exists to increase this by orders of magnitude, and so contribute significantly to greenhouse-gas abatement. Most agricultural mitigation options also provide several ancillary benefits. However, there are many technical, financial, policy, legal and institutional barriers to overcome.

Agricultural sustainability and intensive production practices

A doubling in global food demand projected for the next 50 years poses huge challenges for the sustainability both of food production and of terrestrial and aquatic ecosystems and the services they provide to society. Agriculturalists are the principal managers of global usable lands and will shape, perhaps irreversibly, the surface of the Earth in the coming decades. New incentives and policies for ensuring the sustainability of agriculture and ecosystem services will be crucial if we are to meet the demands of improving yields without compromising environmental integrity or public health.

Evaluation of the genetic structure of Xylella fastidiosa populations from different Citrus sinensis varieties

Xylella fastidiosa was isolated from sweet orange plants (Citrus sinensis) grown in two orchards in the northwest region of the Brazilian state of São Paulo. One orchard was part of a germ plasm field plot used for studies of citrus variegated chlorosis resistance, while the other was an orchard of C. sinensis cv. Pêra clones. These two collections of strains were genotypically characterized by using random amplified polymorphic DNA (RAPD) and variable number of tandem repeat (VNTR) markers. The genetic diversity (H(T)) values of X. fastidiosa were similar for both sets of strains; however, H(T)(RAPD) values were substantially lower than H(T)(VNTR) values. The analysis of six strains per plant allowed us to identify up to three RAPD and five VNTR multilocus haplotypes colonizing one plant. Molecular analysis of variance was used to determine the extent to which population structure explained the genetic variation observed. The genetic variation observed in the X. fastidiosa strains was not related to or dependent on the different sweet orange varieties from which they had been obtained. A significant amount of the observed genetic variation could be explained by the variation between strains from different plants within the orchards and by the variation between strains within each plant. It appears, therefore, that the existence of different sweet orange varieties does not play a role in the population structure of X. fastidiosa. The consequences of these results for the management of sweet orange breeding strategies for citrus variegate chlorosis resistance are also discussed.

Characterization of Botryosphaeria dothidea Isolates Collected from Pistachio and Other Plant Hosts in California

ABSTRACT Eighty-six isolates of Botryosphaeria dothidea, the causal agent of Botryosphaeria panicle and shoot blight of pistachio, were collected from pistachio and other plant hosts in California. The isolates were characterized by microsatellite-primed polymerase chain reaction (MP-PCR), sequences of the nuclear ribosomal DNA internal transcribed spacer region (ITS1, 5.8S gene, and ITS2), morphological and cultural characters, osmotic and fungicide sensitivity, and pathogenicity on pistachio. Three groups of these isolates were identified based upon analysis of MP-PCR data and ITS sequences. Group I contained 43 pycnidiospore-derived isolates collected from pistachio and other hosts. Group II consisted of 20 ascosporic isolates obtained from a single sequoia plant. Group III consisted of 20 ascosporic isolates from three shoots on a single blackberry plant, two pycnidiospore-derived isolates from incense cedar, and one from pistachio. Group I predominated over the other two groups in California pistachio orchards. B. dothidea isolates of group III grew faster on acidified potato dextrose agar (APDA) than the isolates of groups I and II. Isolates of group III produced pycnidia on both APDA and autoclaved pistachio shoots, but the isolates of the other two groups produced pycnidia on only autoclaved pistachio shoots. Additionally, significant differences in osmotic and fungicide sensitivities were observed among these three groups. Results from lathhouse inoculations demonstrated that the representative isolates for each of the three groups were all capable of infecting pistachio and producing characteristic disease symptoms of Botryosphaeria blight. The virulence of group II isolates on pistachio was, however, significantly lower than that of group I isolates.

Deciphering gene expression regulatory networks

In the past year, great strides have been made in our understanding of the regulatory networks that control gene expression in the model eukaryote Saccharomyces cerevisiae. The development and use of a number of genomic tools, including genome-wide location and expression analysis, has fueled this progress. In addition, a variety of computational algorithms have been devised to mine genomic sequence for conserved regulatory motifs in co-regulated genes. The recent description of the genetic network controlling the cell cycle illustrates the tremendous potential of these approaches for deciphering gene expression regulatory networks in eukaryotic cells.

International Rice Research Institute: roles and challenges as we enter the genomics era

The International Rice Research Institute (IRRI) was established in 1960 by the Rockefeller (New York, NY, USA) and Ford Foundations (New York, NY, USA) in response to food scarcity problems in the developing world. Today, it is the world's leading international research and training center for rice. Based in the Philippines, with operations in 11 other countries, it is one of 16 Future Harvest Centers funded by the Consultative Group on International Agricultural Research (CGIAR), an association of public and private donor agencies.

Use of multiline cultivars and cultivar mixtures for disease management

The usefulness of mixtures (multiline cultivars and cultivar mixtures) for disease management has been well demonstrated for rusts and powdery mildews of small grain crops. Such mixtures are more useful under some epidemiological conditions than under others, and experimental methodology, especially problems of scale, may be crucial in evaluating the potential efficacy of mixtures on disease. There are now examples of mixtures providing both low and high degrees of disease control for a wide range of pathosystems, including crops with large plants, and pathogens that demonstrate low host specificity, or are splash dispersed, soilborne, or insect vectored. Though most analyses of pathogen evolution in mixtures consider static costs of virulence to be the main mechanism countering selection for pathogen complexity, many other potential mechanisms need to be investigated. Agronomic and marketing considerations must be carefully evaluated when implementing mixture approaches to crop management. Practical difficulties associated with mixtures have often been overestimated, however, and mixtures will likely play an increasingly important role as we develop more sustainable agricultural systems.

Pathogen population genetics, evolutionary potential, and durable resistance

We hypothesize that the evolutionary potential of a pathogen population is reflected in its population genetic structure. Pathogen populations with a high evolutionary potential are more likely to overcome genetic resistance than pathogen populations with a low evolutionary potential. We propose a flexible framework to predict the evolutionary potential of pathogen populations based on analysis of their genetic structure. According to this framework, pathogens that pose the greatest risk of breaking down resistance genes have a mixed reproduction system, a high potential for genotype flow, large effective population sizes, and high mutation rates. The lowest risk pathogens are those with strict asexual reproduction, low potential for gene flow, small effective population sizes, and low mutation rates. We present examples of high-risk and low-risk pathogens. We propose general guidelines for a rational approach to breed durable resistance according to the evolutionary potential of the pathogen.

Beyond synexpression relationships: local clustering of time-shifted and inverted gene expression profiles identifies new, biologically relevant interactions

The complexity of biological systems provides for a great diversity of relationships between genes. The current analysis of whole-genome expression data focuses on relationships based on global correlation over a whole time-course, identifying clusters of genes whose expression levels simultaneously rise and fall. There are, of course, other potential relationships between genes, which are missed by such global clustering. These include activation, where one expects a time-delay between related expression profiles, and inhibition, where one expects an inverted relationship. Here, we propose a new method, which we call local clustering, for identifying these time-delayed and inverted relationships. It is related to conventional gene-expression clustering in a fashion analogous to the way local sequence alignment (the Smith-Waterman algorithm) is derived from global alignment (Needleman-Wunsch). An integral part of our method is the use of random score distributions to assess the statistical significance of each cluster. We applied our method to the yeast cell-cycle expression dataset and were able to detect a considerable number of additional biological relationships between genes, beyond those resulting from conventional correlation. We related these new relationships between genes to their similarity in function (as determined from the MIPS scheme) or their having known protein-protein interactions (as determined from the large-scale two-hybrid experiment); we found that genes strongly related by local clustering were considerably more likely than random to have a known interaction or a similar cellular role. This suggests that local clustering may be useful in functional annotation of uncharacterized genes. We examined many of the new relationships in detail. Some of them were already well-documented examples of inhibition or activation, which provide corroboration for our results. For instance, we found an inverted expression profile relationship between genes YME1 and YNT20, where the latter has been experimentally documented as a bypass suppressor of the former. We also found new relationships involving uncharacterized yeast genes and were able to suggest functions for many of them. In particular, we found a time-delayed expression relationship between J0544 (which has not yet been functionally characterized) and four genes associated with the mitochondria. This suggests that J0544 may be involved in the control or activation of mitochondrial genes. We have also looked at other, less extensive datasets than the yeast cell-cycle and found further interesting relationships. Our clustering program and a detailed website of clustering results is available at http://www.bioinfo.mbb.yale.edu/expression/cluster (or http://www.genecensus.org/expression/cluster).

Cell cycle controls: genome-wide analysis in Arabidopsis

The first decade of molecular analysis of plant cell cycle control genes revealed how well the important regulators are conserved among eukaryotes. The recent completion of the Arabidopsis genome sequence, and the use of increasingly sophisticated biochemical assays and genetic approaches, heralds a period of more detailed functional analysis of cell cycle regulators aimed at resolving their role in plant growth and development.

Serial regulation of transcriptional regulators in the yeast cell cycle

Genome-wide location analysis was used to determine how the yeast cell cycle gene expression program is regulated by each of the nine known cell cycle transcriptional activators. We found that cell cycle transcriptional activators that function during one stage of the cell cycle regulate transcriptional activators that function during the next stage. This serial regulation of transcriptional activators forms a connected regulatory network that is itself a cycle. Our results also reveal how the nine transcriptional regulators coordinately regulate global gene expression and diverse stage-specific functions to produce a continuous cycle of cellular events. This information forms the foundation for a complete map of the transcriptional regulatory network that controls the cell cycle.

Isolation and characterization of the human forkhead gene FOXQ1

We have isolated a human genomic and cDNA clone that encodes a protein of 403 amino acids and belongs to the family of the FOX transcription factors (previously called HNF-3/forkhead transcription factors). The 2.7-kb transcript of the human FOXQ1 gene is expressed predominantly in the stomach, trachea, bladder and salivary gland. Additionally, overexpression of human FOXQ1 was shown in colorectal adenocarcinoma and lung carcinoma cell lines. The FOXQ1 gene is located on chromosome 6p23-25. Databank analysis shows 82% homology with the mouse Foxq1 gene (formerly Hfh-1L) and with a revised sequence of the rat FoxQ1 gene (formerly HFH-1). The DNA-binding motif, named HNF-3/forkhead domain, is well conserved, showing 100% identity in human, mouse, and rat. The human protein sequence contains two putative transcriptional activation domains, which share a high amino acid identity with the corresponding mouse and rat domains.

Putting knowledge of plant disease resistance genes to work

Plant disease resistance genes trigger defence mechanisms upon recognition of pathogen compatibility factors, which are encoded by avirulence genes. Isolation of the barley powdery mildew resistance gene Mla opens the door to understanding the extensive allelic diversity of this locus. Completion of the Arabidopsis genome sequence enables the analysis of the complete set of R-gene homologues in a flowering plant. A new R gene, RPW8, conferring resistance in Arabidopsis to powdery mildew, reveals a new class of protein associated with pathogen recognition. New prospects for using R-gene polymorphism in agriculture are becoming apparent.

Simultaneous temporal progress of sorghum anthracnose and leaf blight in crop mixtures with disparate patterns

Field studies were conducted at Alupe in western Kenya in 1995 and 1996 to evaluate the efficacy of crop and species mixtures for the management of sorghum anthracnose (caused by Colletotrichum sublineolum) and leaf blight (caused by Exserohilum turcicum). The progress of these diseases developing simultaneously on a susceptible sorghum cultivar planted in inter- or intra-row mixtures of varying proportions with either maize or resistant sorghum was monitored. The effects of host type and mixture patterns on disease progress were compared by parameter estimates derived from fitted Lotka-Volterra competition equations and nonlinear logistic models. Competition coefficients were not significant and their confidence intervals included zero in most cases, suggesting that interactions between C. sublineolum and E. turcicum did not occur. Mixtures of the susceptible sorghum with either the nonhost maize or the resistant sorghum delayed the time when disease is first observed and reduced the rate of disease progress and carrying capacity for both anthracnose and leaf blight, with a more pronounced effect on the latter disease. The lower efficacy of mixtures in reducing anthracnose was attributed to an aggregated spatial pattern, coupled with higher rates of progress for this disease. Intra-row mixtures were more efficient than inter-row mixtures in reducing disease development in all years. The implications of these observations for the management of sorghum diseases under small-scale farming systems are discussed.

The arms race is ancient history in Arabidopsis, the wildflower

Plant pathology was born after the nineteenth-century potato famine, and since then insightful genetic experiments have contributed to the great progress in our understanding of disease control. Our current view of plant resistance focuses on numerous polymorphic resistance loci, which contain genes known as R genes. The complete sequence of the Arabidopsis thaliana genome provides a framework for exploring the 'big bang' of R genes that occurred and how R genes evolved in plants from their associations with microorganisms, and for improving strategies for more sustainable deployment of disease resistance in crops.

The vulnerability of animal and human health to parasites under global change

The term 'global change' is used to encompass all of the significant drivers of environmental change as experienced by hosts, parasites and parasite managers. The term includes changes in climate and climate variability, atmospheric composition, land use and land cover including deforestation and urbanisation, bio-geochemistry, globalisation of trade and transport, the spread of alien species, human health and technology. A subset of land use issues relates to the management of protective technologies in relation to residues in food and the environment and the emergence of resistance. Another is the question of changing biodiversity of both parasites and their associated natural enemies, and the effects on the host--parasite relationship and on parasite management. A framework for studying impacts of global change is proposed and illustrated with field data, and CLIMEX and simulation modelling of the cattle tick Boophilus microplus in Australia. Parasitology suffers from the perception that the key impacts of global change will be driven by changes at lower trophic levels, with parasitic interactions being treated as secondary effects. This is incorrect because the environment mediates host-parasite interactions as much as it affects parasites directly. Parasitologists need to strive for holistic solutions to the management of animal and human health, within a wider context of overall management of those systems, if they are to make a meaningful contribution to global efforts aimed at coping with global change.

Sustainability of three apple production systems

Escalating production costs, heavy reliance on non-renewable resources, reduced biodiversity, water contamination, chemical residues in food, soil degradation and health risks to farm workers handling pesticides all bring into question the sustainability of conventional farming systems. It has been claimed, however, that organic farming systems are less efficient, pose greater health risks and produce half the yields of conventional farming systems. Nevertheless, organic farming became one of the fastest growing segments of US and European agriculture during the 1990s. Integrated farming, using a combination of organic and conventional techniques, has been successfully adopted on a wide scale in Europe. Here we report the sustainability of organic, conventional and integrated apple production systems in Washington State from 1994 to 1999. All three systems gave similar apple yields. The organic and integrated systems had higher soil quality and potentially lower negative environmental impact than the conventional system. When compared with the conventional and integrated systems, the organic system produced sweeter and less tart apples, higher profitability and greater energy efficiency. Our data indicate that the organic system ranked first in environmental and economic sustainability, the integrated system second and the conventional system last.

Forecasting agriculturally driven global environmental change

During the next 50 years, which is likely to be the final period of rapid agricultural expansion, demand for food by a wealthier and 50% larger global population will be a major driver of global environmental change. Should past dependences of the global environmental impacts of agriculture on human population and consumption continue, 10(9) hectares of natural ecosystems would be converted to agriculture by 2050. This would be accompanied by 2.4- to 2.7-fold increases in nitrogen- and phosphorus-driven eutrophication of terrestrial, freshwater, and near-shore marine ecosystems, and comparable increases in pesticide use. This eutrophication and habitat destruction would cause unprecedented ecosystem simplification, loss of ecosystem services, and species extinctions. Significant scientific advances and regulatory, technological, and policy changes are needed to control the environmental impacts of agricultural expansion.

Overlapping and distinct roles of the duplicated yeast transcription factors Ace2p and Swi5p

The yeast transcription factors Ace2p and Swi5p regulate the expression of several target genes involved in mating type switching, exit from mitosis and cell wall function. We describe the analysis of 12 novel targets, some regulated by Ace2p or Swi5p alone and some by both. We show that Ace2p is the major regulator of four genes (CTS1, YHR143W, SCW11 and YER124C). Expression of all four is inhibited by Swi5p. Like Cts1p and Scw11p, the two new Ace2p targets are associated with cell wall metabolism. Yhr143p is localized to the cell wall, and deletion affects cell separation and enhances pseudohyphal growth. Deleting YER124C also affects cell separation and sensitivity to drugs targeted against the cell wall. Expression of PIR1, YPL158C and YNL046W is dependent on Swi5p alone. In contrast, expression of YBR158W, YNL078W and YOR264W is minimized when both ace2 and swi5 are disrupted. We propose that, although Ace2p and Swi5p co-operate to induce the expression of a subset of genes, some functional divergence has occurred. This results in a delay in the expression of those genes predominantly regulated by Ace2p, compared with those predominantly regulated by Swi5p.

DNA microarrays for expression profiling

DNA microarrays enable the transcript levels of an entire genome to be measured simultaneously. Recent improvements in array manufacture, sample preparation, and data analysis are shifting emphasis from the technology itself to experimental design and the broader range of biological questions that can be addressed. The past year has also seen a transition from experiments involving a small number of conditions, with an emphasis on the specific genes induced or repressed, to experiments involving hundreds of conditions in which patterns of global gene expression are used to classify disease specimens and discover gene functions and drug targets. Basic research, medicine, and pharmacology are all likely to benefit from these advances.

Signal transduction cascades regulating pseudohyphal differentiation of Saccharomyces cerevisiae

In response to nitrogen limitation, diploid cells of the yeast Saccharomyces cerevisiae undergo a dimorphic transition to filamentous pseudohyphal growth. At least two signaling pathways regulate filamentation. One involves components of the MAP kinase cascade that also regulates mating of haploid cells. The second involves a nutrient-sensing G-protein-coupled receptor that signals via an unusual G(alpha) protein, cAMP and protein kinase A. Recent studies reveal crosstalk between these pathways during pseudohyphal growth. Related MAP kinase and cAMP pathways regulate filamentation and virulence of human and plant fungal pathogens, and represent novel targets for antifungal drug design.

Microarrays and cell cycle transcription in yeast

Microarrays have been used to characterize gene expression through the yeast cell cycle. Computational methods have been applied to the microarray data to identify coregulated clusters of genes, and motif-finding algorithms have found promoter elements characteristic of each cluster. The functional relevance of these promoter elements can be tested using chromatin immunoprecipitation, additional microarrays and other molecular techniques. The yeast forkhead proteins have been successfully identified as cell cycle transcription factors for an important cluster of genes by this and other approaches.

Cyclin transcription: Timing is everything

The stage-specific activation of cyclin-dependent kinases controls the order and timing of cell-cycle transitions. Recent studies offer insight into the mechanism of cell-cycle-regulated transcription of the mitotic cyclins of budding yeast.

[Implications of transgenics for environmental and agricultural sustainability]

The potential risks of GMOs, their impact on human and animal health, and on the environment, as well as their socioeconomic effects, have generated a worldwide discussion which is far from drawing to a close for lack of sufficient information. Part of this information supports risk-hypotheses previously put forward. Thus the presence of transgenic plant genes in other plants and in other organisms has been confirmed in several occasions. Therefore, gene dissemination to plants of the same species as well as to widely different species is already regarded as an actual risk. The principle of substantial equivalence has opened the way for the liberation of transgenic plants for commercial crops, despite short-term tests, which are quantitatively and qualitatively insufficient to certify that the foods deriving from those plants are healthy and safe. Thus, the adoption of the so-called precautionary principle (PP) has turned out to be the most adequate safety measure to date, or else until scientific data should be able to demonstrate the actual impact of transgenic plants on human and animal health, and on the environment.