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In order to keep subscribers up-to-date with the latest developments in their field, this current awareness service is provided by John WileySons and contains newly-published material on comparative and functional genomics. Each bibliography is divided into 16 sections. 1 Reviewssymposia; 2 General; 3 Large-scale sequencing and mapping; 4 Genome evolution; 5 Comparative genomics; 6 Gene families and regulons; 7 Pharmacogenomics; 8 Large-scale mutagenesis programmes; 9 Functional complementation; 10 Transcriptomics; 11 Proteomics; 12 Protein structural genomics; 13 Metabolomics; 14 Genomic approaches to development; 15 Technological advances; 16 Bioinformatics. Within each section, articles are listed in alphabetical order with respect to author. If, in the preceding period, no publications are located relevant to any one of these headings, that section will be omitted

Genes encoding proteins involved in the function of the nervous system can be identified via mutations causing behavioral abnormalities. An example is ether a go-go (eag) in Drosophila melanogaster, which was identified originally as an X-linked mutation that displayed ether-induced leg-shaking behavior. Electrophysiological and genetic evidence suggests that the product of the eag locus is intimately involved in the normal functioning of one or more types of voltage-gated potassium channels. To initiate a molecular analysis of eag we first generated a collection of deletions to pinpoint its cytological location. On the basis of this location, we identified an existing inversion, In(1)sc(29), with one breakpoint at the eag locus and the other in the scute (sc) complex. A genomic library was prepared from In(1)sc(29) and screened with a genomic DNA fragment that spanned the sc breakpoint to isolate DNA from the eag region. Beginning from this starting point over 85 kb of DNA were isolated by chromosome walking. Three additional eag alleles, including two dysgenesis-induced insertion mutations and a γ-ray-induced insertional translocation, were located on the molecular map of the eag locus by Southern blot analysis. The molecular defects associated with these alleles encompass a total of 27 kb within the chromosome walk. A 10-kb transcript derived from this region, which is expressed most abundantly in heads, was identified on Northern blots. Two different eag mutations separated by over 20 kb interrupt the same transcript identifying it as the likely eag message. cDNAs representing a portion of this transcript have been isolated. The genomic DNA sequences from which these cDNAs are derived extend over 37.5 kb, providing a minimum estimate of the size of the eag transcription unit. Ultimately, sequence analysis of these cDNAs should enable us to the identify the eag polypeptide and to elucidate its role in membrane excitability.

FlyBase ( http://flybase.org ) is the primary database of integrated genetic and genomic data about the Drosophilidae, of which Drosophila melanogaster is the most extensively studied species. Information in FlyBase originates from a variety of sources ranging from large-scale genome projects to the primary research literature. Data-types include sequence-level gene models, molecular classification of gene product functions, mutant phenotypes, mutant lesions and chromosome aberrations, gene expression patterns, transgene insertions, and anatomical images. Query tools allow interrogation of FlyBase through DNA or protein sequence, by gene or mutant name, or through terms from the several ontologies used to capture functional, phenotypic, and anatomical data. Links between FlyBase and external databases provide extensive opportunity for extending exploration into other model organism databases and resources of biological and molecular information. This review will introduce the FlyBase web server and query tools.

The sequence and genome annotations of Drosophila melanogaster were initially published in late 1999 and early 2000. Since then, the Berkeley Drosophila Genome Project (BDGP) and FlyBase have improved the quality of the sequence and reviewed the annotations by hand, respectively, to produce an account of the fruit fly genome that is of the highest quality. This review discusses the main features of this process, both from the point of view of the biology revealed in the end result and in the development of software that has been central to this genome sequencing and annotation project.

Many of the signaling properties of neurons and other electrically excitable cells are determined by a diverse family of potassium channels. A number of genes that encode potassium channel polypeptides have been cloned from various organisms on the basis of their sequence similarity to the Drosophila Shaker (Sh) locus. As an alternative strategy, a molecular analysis of other Drosophila genes that were defined by mutations that perturb potassium channel function was undertaken. Sequence analysis of complementary DNA from the ether à go-go (eag) locus revealed that it encodes a structural component of potassium channels that is related to but is distinct from all identified potassium channel polypeptides.

The FlyBase Drosophila genetics database and the public interfaces of the Berkeley Drosophila Genome Project (BDGP) and European Drosophila Genome Project (EDGP) are in the process of integrating. At present, the data of these projects are available from independent, but hyperlinked, WWW sites (FlyBase URL, http://flybase. bio.indiana.edu/; BDGP URL, http://fruitfly.berkeley.edu/; EDGP URL, http://edgp.ebi.ac.uk/ ). Because of the considerable overlap of data classes between the contributions of the Drosophila genome projects and the Drosophila community, the new and enlarged FlyBase consortium views the implementation of a single integrated Drosophila genomics/genetics server as essential to the scientific community. This integration will occur in a stepwise fashion over the next 1-2 years. In this report, the salient features of the current databases and how to interrogate and navigate the extensive data sets are discussed.

We have used mutations in the newly identified gene myoblast city to investigate the founder cell hypothesis of muscle development in Drosophila melanogaster. In embryos mutant for myoblast city the fusion of myoblasts into multinucleate muscles is virtually abolished. Nevertheless, a subset of the myoblasts develop specific muscle-like characteristics, including gene expression appropriate to particular muscles, migration to the appropriate part of the segment, correct position and orientation, and contact by motor neurons. We suggest that this subset of myoblasts represents the proposed muscle founder cells and we draw an analogy between these founder cells and the muscle pioneers described for grasshopper muscle development.

The first recorded scientific publication on Drosophila was 310 years ago (Mentzel, 1684). By 1980 about 35,000 papers on Drosophila had been published and at the time of writing this total had risen to over 60,000. By the year 2000, there will be over 80,000 Drosophila publications — and the on-going publication rate will be more than 4,000 a year. There is nothing unique in this rate of growth — it is typical for any “active” subject to double its output every fifteen years (see de Solla Price, 1986). Sooner or later, of course, the curve must plateau but, until it does, the individual scientist faces an obvious problem. Not all of the papers published will be of the standard of those in Development. Nevertheless, just sifting those that are worthy of reading from those that are not will be (indeed is) a daunting task. What is to be done? The answer is obvious, we must exploit the power of computers to point us to papers that we need to read. We must also exploit the power of computers to provide us with basic data about our organism. Luckily, there is every prospect that the power of engines to process and access these data will increase, and their relative cost decrease, with the growth in scientific information.