Updated guidelines for gene nomenclature in wheat

文献类型： 外文期刊

第一作者： Boden, S. A.

作者： Boden, S. A.;McIntosh, R. A.;Uauy, C.;Krattinger, S. G.;Dubcovsky, J.;Rogers, W. J.;Xia, X. C.;Badaeva, E. D.;Bentley, A. R.;Dreisigacker, S.;Brown-Guedira, G.;Caccamo, M.;Cockram, J.;Cattivelli, L.;Chhuneja, P.;Contreras-Moreira, B.;Edwards, D.;Gonzalez, F. G.;Guzman, C.;Ikeda, T. M.;Karsai, I;Nasuda, S.;Pozniak, C.;Pozniak, C.;Prins, R.;Prins, R.;Sen, T. Z.;Silva, P.;Simkova, H.;Zhang, Y.;Krattinger, S. G.;Dubcovsky, J.;Rogers, W. J.;Bentley, A. R.;Brown-Guedira, G.;Caccamo, M.;Cattivelli, L.;Cockram, J.;Dreisigacker, S.;Edwards, D.;Gonzalez, F. G.;Guzman, C.;Ikeda, T. M.;Karsai, I;Pozniak, C.;Sen, T. Z.;Wheat Initiative

作者机构：

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.4； 五年影响因子：5.7 ）

ISSN： 0040-5752

年卷期： 2023 年 136 卷 4 期

页码：

收录情况： SCI

摘要： 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.

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