Data from: Using full-length metabarcoding and DNA barcoding to infer community assembly for speciose taxonomic groups: a case study
Creators
- 1. Capital Normal University
- 2. BGI-Shenzhen
- 3. Fudan University
- 4. China Agricultural University
- 5. Guizhou Provincial Center for Disease Control and Prevention*
- 6. National Museum of Natural History*
- 7. National Museums Liverpool*
Description
How insect communities are assembled in nature remains largely unknown. In particular, whether habitat filtering or competition serves as the main mechanism in forming insect communities is rarely subject to an in-depth investigation. One bottleneck lies in the difficulty of species identification when dealing with a large number of diverse insects. However, High-Throughput Sequencing (HTS) technology coupled with classic DNA barcoding offers a great opportunity to infer community assembly for this speciose group. In this study, using 13,909 full-length barcodes obtained by Sanger sequencing or the SOAPBarcode metabarcoding method, we showed that competition was the main assembly mechanism for the moth communities studied in temperate forests of China. The two sequencing methods showed highly consistent results with regards to both diversity composition and community assembly mechanism. Significant phylogenetic signals and structure suggested that the focal moth communities were the result of the non-neutral assembly process, which was further confirmed by results of neutral assembly test that accounted for immigration and speciation rates. In conclusion, HTS coupled with a well-curated DNA barcode library can facilitate community assembly inferences, especially for speciose taxonomic groups.
Notes
Please see README files for specific information.
Funding provided by: Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 3,177,250,131,272,340,000,000,000,000,000,000,000,000
Funding provided by: China National Funds for Distinguished Young Scientists
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005153
Award Number: 31425023
Funding provided by: Chinese Universities Scientific Fund
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005236
Award Number: 2017QC114
Funding provided by: Program for Changjiang Scholars and Innovative Research Team in University
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100018621
Award Number: IRT_17R75
Funding provided by: Academy for Multidisciplinary Studies, Capital Normal University
Crossref Funder Registry ID:
Funding provided by: Support Project of High-level Teachers in Beijing Municipal Universities
Crossref Funder Registry ID:
Award Number: IDHT20180518
Files
1.MorphologicalTraitDATA.csv
Files
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Additional details
Related works
- Is cited by
- 10.1007/s10682-020-10072-y (DOI)