Molecular Plant Sciences Program, Washington State University, Pullman, Washington, USA.
Department of Plant Pathology, Washington State University, Pullman, Washington, USA.
BMC Res Notes. 2023 Aug 14;16(1):171. doi: 10.1186/s13104-023-06426-8.
RNA sequencing of two organisms in a symbiotic interaction can yield insights that are not found in samples from each organism alone. We present a sequencing dataset focusing on the small RNA fraction from wheat plants (Triticum aestivum) infected with the biotrophic pathogen wheat stem rust fungus (Puccinia graminis f.sp. tritici). Simultaneous small RNA sequencing of this agronomically important crop and its adversary can lead to a better understanding of the role of noncoding RNAs in both plant and fungal biology.
Small RNA libraries were constructed from infected and mock-infected plant tissue and sequenced on the Ion Torrent platform. Quality control was performed to ensure sample and data integrity. Using this dataset, researchers can employ previously established methods to map subsets of reads exclusively to each organism's genome. Subsequent analyses can be undertaken to discover microRNAs, predict small RNA targets, and generate hypotheses for further laboratory experiments.
对共生关系中的两个生物体进行 RNA 测序，可以获得仅从每个生物体的样本中无法发现的见解。我们提供了一个测序数据集，重点是感染生物营养病原体小麦条锈菌（Puccinia graminis f.sp. tritici）的小麦植株（Triticum aestivum）的小 RNA 部分。对这种具有重要农业意义的作物及其敌对阵营同时进行小 RNA 测序，可以更好地了解非编码 RNA 在植物和真菌生物学中的作用。
从小麦感染和模拟感染组织中构建了小 RNA 文库，并在 Ion Torrent 平台上进行了测序。进行了质量控制以确保样品和数据的完整性。使用这个数据集，研究人员可以采用先前建立的方法将读段的子集专门映射到每个生物体的基因组上。随后可以进行分析，以发现 microRNAs、预测小 RNA 靶标，并为进一步的实验室实验生成假设。
