| Chapter title |
Marine Genomics
|
|---|---|
| Chapter number | 15 |
| Book title |
Marine Genomics
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3774-5_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3772-1, 978-1-4939-3774-5
|
| Authors |
Leray, Matthieu, Knowlton, Nancy, Matthieu Leray, Nancy Knowlton |
| Editors |
Sarah J. Bourlat |
| Abstract |
PCR amplification followed by deep sequencing of homologous gene regions is increasingly used to characterize the diversity and taxonomic composition of marine eukaryotic communities. This approach may generate millions of sequences for hundreds of samples simultaneously. Therefore, tools that researchers can use to visualize complex patterns of diversity for these massive datasets are essential. Efforts by microbiologists to understand the Earth and human microbiomes using high-throughput sequencing of the 16S rRNA gene has led to the development of several user-friendly, open-source software packages that can be similarly used to analyze eukaryotic datasets. Quantitative Insights Into Microbial Ecology (QIIME) offers some of the most helpful data visualization tools. Here, we describe functionalities to import OTU tables generated with any molecular marker (e.g., 18S, COI, ITS) and associated metadata into QIIME. We then present a range of analytical tools implemented within QIIME that can be used to obtain insights about patterns of alpha and beta diversity for marine eukaryotes. |
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| Unknown | 6 | 75% |
Demographic breakdown
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| Scientists | 2 | 25% |
Mendeley readers
Geographical breakdown
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| Unknown | 41 | 98% |
Demographic breakdown
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| Student > Ph. D. Student | 7 | 17% |
| Student > Master | 7 | 17% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 10 | 24% |
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|---|---|---|
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| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Environmental Science | 4 | 10% |
| Social Sciences | 2 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 11 | 26% |