Département de Biologie & Institut de Biologie Intégrative et des Systèmes (IBIS), Pavillon Charles-Eugène-Marchand, Université Laval, QC, Canada.
Trends Ecol Evol. 2012 Dec;27(12):673-8. doi: 10.1016/j.tree.2012.07.014. Epub 2012 Aug 17.
Ecological and evolutionary genomics (EEG) aims to link gene functions and genomic features to phenotypes and ecological factors. Although the rapid development of technologies allows central questions to be addressed at an unprecedented level of molecular detail, they do not alleviate one of the major challenges of EEG, which is that a large fraction of genes remains without any annotation. Here, we propose two solutions to this challenge. The first solution is in the form of a database that regroups associations between genes, organismal attributes and abiotic and biotic conditions. This database would result in an ecological annotation of genes by allowing cross-referencing across studies and taxa. Our second solution is to use new functional techniques to characterize genes implicated in the response to ecological challenges.
生态与进化基因组学（EEG）旨在将基因功能和基因组特征与表型和生态因素联系起来。尽管技术的快速发展使得核心问题能够以前所未有的分子细节水平得到解决，但它们并没有缓解 EEG 的主要挑战之一，即很大一部分基因仍然没有任何注释。在这里，我们提出了两种解决这个问题的方案。第一个解决方案是一个数据库的形式，该数据库将基因、生物属性以及非生物和生物条件之间的关联分组。该数据库将通过允许跨研究和分类群交叉引用，实现对基因的生态注释。我们的第二个解决方案是使用新的功能技术来描述与应对生态挑战相关的基因。
