Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis | |
Yang, Bo1; Wang, Yong2; Qian, Pei-Yuan1 | |
刊名 | BMC BIOINFORMATICS |
2016-03-18 | |
卷号 | 17 |
关键词 | 16s Rrna 16s Rrna Gene Variable Regions Phylogenetic Geodesic Distance Primer |
DOI | 10.1186/s12859-016-0992-y |
文献子类 | Article |
英文摘要 | Background: Prokaryotic 16S ribosomal RNA (rRNA) sequences are widely used in environmental microbiology and molecular evolution as reliable markers for the taxonomic classification and phylogenetic analysis of microbes. Restricted by current sequencing techniques, the massive sequencing of 16S rRNA gene amplicons encompassing the full length of genes is not yet feasible. Thus, the selection of the most efficient hypervariable regions for phylogenetic analysis and taxonomic classification is still debated. In the present study, several bioinformatics tools were integrated to build an in silico pipeline to evaluate the phylogenetic sensitivity of the hypervariable regions compared with the corresponding full-length sequences. |
WOS关键词 | GRADIENT GEL-ELECTROPHORESIS ; CONSERVED 690 HAIRPIN ; COMPUTING GEODESIC DISTANCES ; ESCHERICHIA-COLI ; MICROBIAL COMMUNITIES ; ANGSTROM RESOLUTION ; PCR PRIMERS ; TREE SPACE ; NUCLEOTIDES ; CYANOBACTERIA |
语种 | 英语 |
WOS记录号 | WOS:000372487500001 |
内容类型 | 期刊论文 |
源URL | [http://ir.idsse.ac.cn/handle/183446/1531] |
专题 | 深海科学研究部_深海生物学研究室_海洋微生物宏基因组与分子进化研究组 |
作者单位 | 1.Hong Kong Univ Sci & Technol, Div Life Sci, Hong Kong, Hong Kong, Peoples R China 2.Chinese Acad Sci, Sanya Inst Deep Sea Sci & Engn, San Ya, Hai Nan, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Bo,Wang, Yong,Qian, Pei-Yuan. Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis[J]. BMC BIOINFORMATICS,2016,17. |
APA | Yang, Bo,Wang, Yong,&Qian, Pei-Yuan.(2016).Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis.BMC BIOINFORMATICS,17. |
MLA | Yang, Bo,et al."Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis".BMC BIOINFORMATICS 17(2016). |
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