Department of Plant Pathology and microbiology, Iowa State University, Ames, IA, USA.
Mol Plant Microbe Interact. 2013 Jan;26(1):31-5. doi: 10.1094/MPMI-05-12-0121-FI.
Esophageal glands of plant-parasitic nematodes are highly specialized cells whose gene expression products include secreted effector proteins, which govern nematode parasitism of host plants. Therefore, elucidating the transcriptomes of esophageal glands with the goal of identifying nematode effectors is a promising avenue to understanding nematode parasitism and its evolutionary origins as well as to devising nematode control strategies. We have developed a method to separate and isolate individual esophageal gland cells from multiple species of plant-parasitic nematodes while preserving RNA quality. We have used such isolated gland cells for transcriptome analysis via high-throughput DNA sequencing. This method relies on the differential histochemical staining of the gland cells after homogenization of phytonematode tissues. Total RNA was extracted from whole gland cells isolated from eight different plant-parasitic nematode species. To validate this approach, the isolated RNA from three plant-parasitic nematode species-Globodera rostochiensis, Pratylenchus penetrans, and Radopholus similis-was amplified, gel purified, and used for 454 sequencing. We obtained 456,801 total reads with an average read length of 409 bp. Sequence analyses revealed the presence of homologs of previously known nematode effectors in these libraries, thus validating our approach. These data provide compelling evidence that this technical advance can be used to relatively easily and expediently discover effector repertoires of plant-parasitic nematodes.
植物寄生线虫的食管腺是高度特化的细胞,其基因表达产物包括分泌效应蛋白,这些蛋白控制线虫寄生宿主植物。因此,阐明食管腺的转录组,以鉴定线虫效应子,是理解线虫寄生及其进化起源以及设计线虫控制策略的有前途的途径。我们已经开发了一种从多种植物寄生线虫中分离和分离单个食管腺细胞的方法,同时保持 RNA 质量。我们已经使用这种分离的腺细胞通过高通量 DNA 测序进行转录组分析。该方法依赖于植物线虫组织匀浆后腺细胞的差异组织化学染色。从八个不同的植物寄生线虫物种中分离的整个腺细胞中提取总 RNA。为了验证这种方法,从三种植物寄生线虫物种——根结线虫、短体线虫和香蕉穿孔线虫——中分离的 RNA 进行了扩增、凝胶纯化,并用于 454 测序。我们获得了 456801 条总reads,平均读长为 409bp。序列分析表明这些文库中存在先前已知的线虫效应子的同源物,从而验证了我们的方法。这些数据提供了令人信服的证据,表明这种技术进步可以相对容易和方便地发现植物寄生线虫的效应子库。