Ardep, a Rapid Degenerate Primer Design Pipeline Based on k-mers for Amplicon Microbiome Studies
Bibliographic Data
| ID | 15515500 |
|---|---|
| Authors | Yueni Wu (0000-0002-2087-2952, Chinese Academy of Sciences), Kai Feng (0000-0002-1099-2352, Chinese Academy of Sciences), Ziyan Wei (0000-0002-6003-6182, Shandong University of Science and Technology), Zhujun Wang (0000-0002-3998-7477, Chinese Academy of Sciences), Ye Deng (0000-0003-1603-4961, Chinese Academy of Sciences, corresponding author) |
| Year | 2020 |
| Volume | 17 |
| Issue | 16 |
| Pages | 5958-5958 |
| Publication date | 2020-08-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17165958 |
| PMID | 32824566 |
| OpenAlex | W3049700823 |
| Language | EN |
| References cited | 22 |
The survey of microbial diversity in various environments has relied upon the widespread use of well-evaluated amplification primers for taxonomic marker genes (e.g., prokaryotic 16S and fungal ITS). However, it is urgent to develop a fast and accurate bioinformatic program to design primers for microbial functional genes to explore more mechanisms in the microbial community. Here, we provide a rapid degenerate primer design pipeline (ARDEP) based on the k -mer algorithm, which can bypass the time-consuming step of sequence alignment to greatly reduce run times while ensuring accuracy. In addition, we developed an open-access platform for the implementation of primer design projects that could also calculate the amplification product length, GC content, Annealing Temperature (Tm), and ΔG of primer self-folding, and identify covered species and functional groups. Using this new platform, we designed primers for several functional genes in the nitrogen cycle, including napA and amoA . Our newly designed primers achieved higher coverage than the commonly used primers for all tested genes. The program and the associated platform that applied the k -mer algorithm could greatly enhance the design and evaluation of primers for environmental microbiome studies
Amplicon · Biology · Computational biology · Gene · Metagenomics · Microbiome · Pipeline (software · Polymerase chain reaction · Primer (cosmetics · Programming language · Bioinformatics and Genomic Networks · Chemistry · Computer Science · Genomics and Phylogenetic Studies · Microbial Community Ecology and Physiology · Genetics
| Highly cited | No |
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