焦测序
微生物种群生物学
生物
基因组
比例(比率)
β多样性
航程(航空)
群落结构
计算生物学
生态学
生物多样性
地图学
遗传学
地理
基因
细菌
材料科学
复合材料
作者
Justin Kuczynski,Zongzhi Liu,Catherine Lozupone,Daniel McDonald,Noah Fierer,Rob Knight
出处
期刊:Nature Methods
[Springer Nature]
日期:2010-09-05
卷期号:7 (10): 813-819
被引量:253
摘要
High-throughput sequencing methods enable characterization of microbial communities in a wide range of environments on an unprecedented scale. However, insight into microbial community composition is limited by our ability to detect patterns in this flood of sequences. Here we compare the performance of 51 analysis techniques using real and simulated bacterial 16S rRNA pyrosequencing datasets containing either clustered samples or samples arrayed across environmental gradients. We found that many diversity patterns were evident with severely undersampled communities and that methods varied widely in their ability to detect gradients and clusters. Chi-squared distances and Pearson correlation distances performed especially well for detecting gradients, whereas Gower and Canberra distances performed especially well for detecting clusters. These results also provide a basis for understanding tradeoffs between number of samples and depth of coverage, tradeoffs that are important to consider when designing studies to characterize microbial communities.
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