Chung Won-Hyong, Rhee Sung-Keun, Wan Xiu-Feng, Bae Jin-Woo, Quan Zhe-Xue, Park Yong-Ha
Biological Resource Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon.
Bioinformatics. 2005 Nov 15;21(22):4092-100. doi: 10.1093/bioinformatics/bti673. Epub 2005 Sep 13.
Analysis of the functions of microorganisms and their dynamics in the environment is essential for understanding microbial ecology. For analysis of highly similar sequences of a functional gene family using microarrays, the previous long oligonucleotide probe design strategies have not been useful in generating probes.
We developed a Hierarchical Probe Design (HPD) program that designs both sequence-specific probes and hierarchical cluster-specific probes from sequences of a conserved functional gene based on the clustering tree of the genes, specifically for analyses of functional gene diversity in environmental samples. HPD was tested on datasets for the nirS and pmoA genes. Our results showed that HPD generated more sequence-specific probes than several popular oligonucleotide design programs. With a combination of sequence-specific and cluster-specific probes, HPD generated a probe set covering all the sequences of each test set.
分析微生物在环境中的功能及其动态变化对于理解微生物生态学至关重要。对于使用微阵列分析功能基因家族的高度相似序列,以前的长寡核苷酸探针设计策略在生成探针方面并不有用。
我们开发了一种分层探针设计(HPD)程序,该程序基于基因的聚类树从保守功能基因的序列中设计序列特异性探针和分层聚类特异性探针,专门用于分析环境样品中的功能基因多样性。HPD在nirS和pmoA基因的数据集上进行了测试。我们的结果表明,HPD生成的序列特异性探针比几个流行的寡核苷酸设计程序更多。通过结合序列特异性探针和聚类特异性探针,HPD生成了一个覆盖每个测试集所有序列的探针集。