Performance comparison of genetic markers for high-throughput sequencing-based biodiversity assessment in complex communities
Document Type
Article
Publication Date
2014
Publication Title
Molecular Ecology Resources
Volume
14
Issue
5
First Page
1049
Last Page
1059
Abstract
Metabarcode surveys of DNA extracted from environmental samples are increasingly popular for biodiversity assessment in natural communities. Such surveys rely heavily on robust genetic markers. Therefore, analysis of PCR efficiency and subsequent biodiversity estimation for different types of genetic markers and their corresponding primers is important. Here, we test the PCR efficiency and biodiversity recovery potential of three commonly used genetic markers - nuclear small subunit ribosomal DNA (18S), mitochondrial cytochrome c oxidase subunit I (COI) and 16S ribosomal RNA (mt16S) - using 454 pyrosequencing of a zooplankton community collected from Hamilton Harbour, Ontario. We found that biodiversity detection power and PCR efficiency varied widely among these markers. All tested primers for COI failed to provide high-quality PCR products for pyrosequencing, but newly designed primers for 18S and 16S passed all tests. Furthermore, multiple analyses based on large-scale pyrosequencing (i.e. 1/2 PicoTiter plate for each marker) showed that primers for 18S recover more (38 orders) groups than 16S (10 orders) across all taxa, and four vs. two orders and nine vs. six families for Crustacea. Our results showed that 18S, using newly designed primers, is an efficient and powerful tool for profiling biodiversity in largely unexplored communities, especially when amplification difficulties exist for mitochondrial markers such as COI. Universal primers for higher resolution markers such as COI are still needed to address the possible low resolution of 18S for species-level identification.
DOI
10.1111/1755-0998.12254
Recommended Citation
Zhan, Aibin; Bailey, Sarah A.; Heath, Daniel D.; and MacIsaac, Hugh J.. (2014). Performance comparison of genetic markers for high-throughput sequencing-based biodiversity assessment in complex communities. Molecular Ecology Resources, 14 (5), 1049-1059.
https://scholar.uwindsor.ca/glierpub/74
Comments
This is an accepted manuscript version of an aritcle whose version of record was published in:Molecular Ecology Resources: http://dx.doi.org/10.1111/1755-0998.12254