Smith Moray, Jones John T, Hein Ingo
Cell and Molecular Sciences Department, The James Hutton Institute, Dundee, UK.
School of Biology, University of St Andrews, St Andrews, UK.
Bioinform Biol Insights. 2025 Jan 22;19:11779322241308944. doi: 10.1177/11779322241308944. eCollection 2025.
Nucleotide-binding domain leucine-rich repeat (NLR) proteins are a key component of the plant innate immune system. In plant genomes, NLRs exhibit considerable presence/absence variation and sequence diversity. Recent advances in sequencing technologies have made the generation of high-quality novel plant genome assemblies considerably more straightforward. Accurately identifying NLRs from these genomes is a prerequisite for improving our understanding of NLRs and identifying novel sources of disease resistance. While several tools have been developed to predict NLRs, they are hampered by low accuracy, speed, and availability. Here, the NLR annotation tool Resistify is presented. Resistify is an easy-to-use, rapid, and accurate tool to identify and classify NLRs from protein sequences. Applying Resistify to the RefPlantNLR database demonstrates that it can correctly identify NLRs from a diverse range of species. Applying Resistify in combination with tools to identify transposable elements to a panel of Solanaceae genomes reveals a previously undescribed association between NLRs and Helitron transposable elements.
核苷酸结合结构域富含亮氨酸重复序列(NLR)蛋白是植物先天免疫系统的关键组成部分。在植物基因组中,NLRs存在显著的有无变异和序列多样性。测序技术的最新进展使高质量新型植物基因组组装的生成变得更加直接。从这些基因组中准确识别NLRs是增进我们对NLRs的理解并确定新的抗病性来源的先决条件。虽然已经开发了几种工具来预测NLRs,但它们受到准确性低、速度慢和可用性差的阻碍。在此,介绍了NLR注释工具Resistify。Resistify是一种易于使用、快速且准确的工具,可从蛋白质序列中识别和分类NLRs。将Resistify应用于RefPlantNLR数据库表明,它可以从多种物种中正确识别NLRs。将Resistify与识别转座元件的工具结合应用于一组茄科基因组,揭示了NLRs与Helitron转座元件之间以前未描述的关联。