School of Veterinary Medicine and Science, Sutton Bonington Campus, University of Nottingham, Leicestershire, UK.
Department of Experimental Medicine, University of Perugia, Perugia, Italy.
Life Sci Alliance. 2019 Jan 2;2(1):e201800191. doi: 10.26508/lsa.201800191. eCollection 2019 Feb.
Modifications in gene expression determine many of the phenotypic differentiations between closely related species. This is particularly evident in reproductive tissues, where evolution of genes is more rapid, facilitating the appearance of distinct reproductive characteristics which may lead to species isolation and phenotypic variation. Large-scale, comparative analyses of transcript expression levels have been limited until recently by lack of inter-species data mining solutions. Here, by combining expression normalisation across lineages, multivariate statistical analysis, evolutionary rate, and protein-protein interaction analysis, we investigate ortholog transcripts in the male accessory glands and testes across five closely related species in the complex. We first demonstrate that the differentiation by transcript expression is consistent with the known phylogeny. Then, through clustering, we discover groups of transcripts with tissue-dependent expression patterns conserved across lineages, or lineage-dependent patterns conserved across tissues. The strongest associations with reproductive function, transcriptional regulatory networks, protein-protein subnetworks, and evolutionary rate are found for the groups of transcripts featuring large expression differences in lineage or tissue-conserved patterns.
基因表达的改变决定了亲缘关系密切的物种之间许多表型的分化。这在生殖组织中尤为明显,因为基因的进化速度更快,有助于出现明显的生殖特征,从而导致物种隔离和表型变异。直到最近,由于缺乏种间数据挖掘解决方案,大规模的转录表达水平比较分析才受到限制。在这里,我们通过结合跨谱系的表达归一化、多元统计分析、进化率和蛋白质-蛋白质相互作用分析,研究了复杂中的五个近缘物种的雄性附腺和睾丸中的直系同源转录物。我们首先证明转录表达的分化与已知的系统发育一致。然后,通过聚类,我们发现了具有组织依赖性表达模式的转录物组在谱系中保守,或在组织中保守的谱系依赖性模式。与生殖功能、转录调控网络、蛋白质-蛋白质子网和进化率最强相关的是在谱系或组织保守模式中具有较大表达差异的转录物组。