Genomics Unit, Research Technologies Section, Research Technologies Branch, Rocky Mountain Laboratories, NIH, 904 South 4th Street, Hamilton, MT 59840, USA.
Future Microbiol. 2010 Feb;5(2):205-19. doi: 10.2217/fmb.09.125.
The use of microarray and comparative genomic technologies for the analysis of host-pathogen interactions has led to a greater understanding of the biological systems involved in infectious disease processes. Transcriptome analysis of intracellular pathogens at single or multiple time points during infection offers insight into the pathogen intracellular lifecycle. Host-pathogen transcriptome analysis in vivo, over time, enables characterization of both the pathogen and the host during the dynamic, multicellular host response. Comparative genomics using hybridization microarray-based comparative whole-genome resequencing or de novo whole-genome sequencing can identify the genetic factors responsible for pathogen evolutionary divergence, emergence, reemergence or the genetic basis for different pathogenic phenotypes. Together, microarray and comparative genomic technologies will continue to advance our understanding of pathogen evolution and assist in combating human infectious disease.
利用微阵列和比较基因组技术分析宿主-病原体相互作用，使我们对感染性疾病过程中涉及的生物系统有了更深入的了解。在感染过程中对单个或多个时间点的细胞内病原体进行转录组分析，有助于了解病原体的细胞内生命周期。随着时间的推移，对体内宿主-病原体转录组进行分析，能够在动态的多细胞宿主反应过程中对病原体和宿主进行特征描述。利用基于杂交微阵列的比较全基因组重测序或从头全基因组测序进行比较基因组学，可以鉴定导致病原体进化分歧、出现、再现或不同致病表型遗传基础的遗传因素。总之，微阵列和比较基因组技术将继续促进我们对病原体进化的理解，并有助于对抗人类传染病。
