Updated guidelines for gene nomenclature in wheat.

KEY MESSAGE: Here, we provide an updated set of guidelines for naming genes in wheat that has been endorsed by the wheat research community. The last decade has seen a proliferation in genomic resources for wheat, including reference- and pan-genome assemblies with gene annotations, which provide new opportunities to detect, characterise, and describe genes that influence traits of interest. The expansion of genetic information has supported growth of the wheat research community and catalysed strong interest in the genes that control agronomically important traits, such as yield, pathogen resistance, grain quality, and abiotic stress tolerance. To accommodate these developments, we present an updated set of guidelines for gene nomenclature in wheat. These guidelines can be used to describe loci identified based on morphological or phenotypic features or to name genes based on sequence information, such as similarity to genes characterised in other species or the biochemical properties of the encoded protein. The updated guidelines provide a flexible system that is not overly prescriptive but provides structure and a common framework for naming genes in wheat, which may be extended to related cereal species. We propose these guidelines be used henceforth by the wheat research community to facilitate integration of data from independent studies and allow broader and more efficient use of text and data mining approaches, which will ultimately help further accelerate wheat research and breeding.

Empirical limits for template-based protein structure prediction: the CASP5 example.

Most protein structure prediction methods use templates to assist in the construction of protein models. In this paper, we analyse the current state of template-based modelling approaches and reach an estimate of the empirical limits of these methods. Our analysis show that current prediction methods are already reaching these empirical accuracy limits in the easier cases, where finding a close homologue to the native target structure is not a problem. However, we find that even in the absence of alignment errors and using optimal templates, template-based methods have intrinsic limitations, suggesting that other methodologies, such as ab initio procedures, must be used if accuracy is ultimately to be improved.

Domain fishing: a first step in protein comparative modelling.

UNLABELLED: To optimize the search for structural templates in protein comparative modelling, the query sequence is split into domains. The initial list of templates for each domain, extracted from PFAM plus PDB and SCOP, is then ranked according to sequence identity (%ID), coverage and resolution. If %ID is less than 30, secondary structure matching is used to filter out false templates. AVAILABILITY: http://www.bmm.icnet.uk/~3djigsaw/dom_fish