Bovine Functional Genomics Laboratory, Animal and Natural Resources Institute, Beltsville Agricultural Research Center, USDA-ARS, Beltsville, MD 20705, United States.
Exp Parasitol. 2011 Dec;129(4):346-54. doi: 10.1016/j.exppara.2011.09.007. Epub 2011 Sep 22.
To understand the genetic basis of virulence, gene expression profiles of a temperature-sensitive clone (NCts-8, relatively avirulent) and its wild type (NC-1) of Neospora caninum were characterized and compared using a high-density microarray with approximately 63,000 distinct oligonucleotides. This microarray consists of 5692 unique N. caninum sequences, including 1980 Tentative Consensus sequences and 3712 singleton ESTs from the TIGR N. caninum Gene Index (NCGI, release 5.0). Each sequence was represented by 11 distinct 60mer oligonucleotides synthesized in situ on the microarray. The results showed that 111 genes were significantly repressed and no up-regulated genes were identified in the NCts-8 clone. The level of 10 randomly selected genes from the repressed genes was confirmed using real-time RT-PCR. Of the 111 repressed genes, 58 were hypothetical protein products and 53 were annotated genes. Over 70% of the repressed genes identified in this study are clustered on five chromosomes (I, VII, VIII, X and XII). These results suggest that the down-regulated genes may be in part responsible for the reduced pathogenesis of NCts-8; further characterization of the regulated genes may aid in understanding of molecular basis of virulence and development of countermeasures against neosporosis.
为了理解毒力的遗传基础,我们使用了高密度微阵列来描述和比较一株温度敏感型克隆(NCts-8,相对无致病性)及其野生型(NC-1)的 Neospora caninum 的基因表达谱。该微阵列包含大约 63000 个不同的寡核苷酸,由 5692 个独特的 N. caninum 序列组成,包括 1980 个暂定共识序列和 3712 个来自 TIGR N. caninum Gene Index (NCGI,版本 5.0) 的单序列 EST。每个序列由 11 个不同的 60mer 寡核苷酸代表,这些寡核苷酸在微阵列上原位合成。结果表明,在 NCts-8 克隆中,有 111 个基因受到显著抑制,没有发现上调的基因。使用实时 RT-PCR 验证了从受抑制基因中随机选择的 10 个基因的水平。在这 111 个受抑制的基因中,58 个是假定的蛋白产物,53 个是注释基因。本研究中鉴定的受抑制基因中有超过 70%聚类在五个染色体上(I、VII、VIII、X 和 XII)。这些结果表明,下调的基因可能部分负责 NCts-8 致病性降低;对调节基因的进一步特征分析可能有助于理解毒力的分子基础,并开发针对新孢子虫病的对策。