Zhang Hengyou, Song Bao-Hua
Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Genom Data. 2017 Aug 9;14:36-39. doi: 10.1016/j.gdata.2017.08.001. eCollection 2017 Dec.
Soybean [ (L.) Merr.] is an important crop rich in vegetable protein and oil, and is a staple food for human and animals worldwide. However, soybean plants have been challenged by soybean cyst nematode (SCN, ), one of the most damaging pests found in soybean fields. Applying SCN-resistant cultivars is the most efficient and environmentally friendly strategy to manage SCN. Currently, soybean breeding and further improvement in soybean agriculture are hindered by severely limited genetic diversity in cultivated soybeans. . is a soybean wild progenitor with much higher levels of genetic diversity compared to cultivated soybeans. In this study, transcriptomes of the resistant and susceptible genotypes of the wild soybean, Sieb & Zucc, were sequenced to examine the genetic basis of SCN resistance. Seedling roots were treated with infective second-stage juveniles (J2s) of the soybean cyst nematode (HG type 2.5.7) for 3, 5, 8 days and pooled for library construction and RNA sequencing. The transcriptome sequencing generated approximately 245 million (M) high quality (Q > 30) raw sequence reads (125 bp in length) for twelve libraries. The raw sequence reads were deposited in NCBI sequence read archive (SRA) database, with the accession numbers SRR5227314-25. Further analysis of this data would be helpful to improve our understanding of the molecular mechanisms of soybean-SCN interaction and facilitate the development of diverse SCN resistance cultivars.
大豆[(L.)Merr.]是一种重要的作物,富含植物蛋白和油脂,是全球人类和动物的主食。然而,大豆植株受到大豆胞囊线虫(SCN)的挑战,SCN是大豆田中发现的最具破坏性的害虫之一。应用抗SCN品种是管理SCN最有效且环保的策略。目前,栽培大豆严重受限的遗传多样性阻碍了大豆育种及大豆农业的进一步改良。野生大豆是大豆的野生祖先,与栽培大豆相比具有更高水平的遗传多样性。在本研究中,对野生大豆Sieb & Zucc的抗性和感病基因型的转录组进行测序,以研究SCN抗性的遗传基础。用大豆胞囊线虫(HG型2.5.7)的感染性二期幼虫(J2s)处理幼苗根3、5、8天,然后将其汇集用于文库构建和RNA测序。转录组测序为12个文库产生了约2.45亿(M)高质量(Q>30)的原始序列读数(长度为125 bp)。原始序列读数已存入NCBI序列读数存档(SRA)数据库,登录号为SRR5227314 - 25。对这些数据的进一步分析将有助于增进我们对大豆 - SCN相互作用分子机制的理解,并促进多种抗SCN品种的开发。