Sequencing the Ant fauna of a Small Island: Can Metagenomic Analysis Enable Faster Identification for Routine Ant Surveys?
DOI:
https://doi.org/10.13102/sociobiology.v65i3.2885Keywords:
Next Generation Sequencing, Barrow Island, Evaluation, Biosecurity, Ant incursion.Abstract
All known ant species from a small Western Australian island were subjected to DNA barcoding of the CO1 gene, with a view to using the database to identify ants by Next Generation Sequencing in subsequent, routine surveys. A further aim was to evaluate whether the data could be used to see if any new species had arrived on the island since the total fauna had been inventoried. Of the 125 unique ant species then known from the island, 72 were successfully barcoded. Those that were refractory to amplification were largely the result of sample age and/or contamination. Following this base-line barcoding, ants were sampled from 14 regular sampling sites and ant sequences were obtained from the bulked ‘metagenomic soup’. Prior to doing this, a parataxonomist had identified all ant species in the samples and returned them to the ‘soup’. Successful identification for each site varied from 38% (Sites 12 and 27) to 100% of species (Site 10). Comparison of the number of species recovered with the number of sequences obtained from each sample showed a positive correlation between the two variables. When a site had >1,000 sequences, the average recovery rate was 79%, which is in contrast to the lowest four recovery rates (Site samples 12, 22, 26 and 27), which had fewer than 440 amplicon sequences. The ability to detect individuals that occur at low frequencies is also important. We analysed each site individually to determine if a species was detected and how that related to the proportion of individuals in the pooled sample. Where a species was present at <4% of the total sample, it was only detected 10% of the time, indicating that adequate sequencing depth is critical to species recovery. We conclude that this technique was only partially successful in replacing conventional taxonomy and that it could have limited ability to detect incursions unless the new arrival is abundant. Current barcoding is no longer limited to the CO1 gene and other genes are characterised for identification of intractable groups where CO1 does not provide appropriate levels of resolution.
Downloads
References
Beng, K.C., Tomlinson, K.W., Shen, X.H., Surget-Groba, Y., Hughes, A.C., Corlett, R.T. & Silk, J.F. (2016). The Utility of DNA Metabarcoding for Studying the Response of Arthropod Diversity and Composition to Land-use Change in the Tropics. Scientific Reports, 6: 24965. http://dx.doi.org/10.1038/srep24965
Biomatters Ltd. Geneious version 8.0.3. Biomatters. Available from http://www.geneious.com/
Brandon-Mong, G. J., Gan H. M., Sing, K. W., Lee, P. S., Lim, P. E. & Wilson, J.J. (2015). DNA Metabarcoding of Insects and Allies: an Evaluation of Primers and Pipelines. Bulletin of Entomological Research, 105: 717-27. doi: 10.1017/S0007485315000681
Callan, S. K., Majer, J. D., Edwards, K. & Moro, D. (2011). Documenting the Terrestrial Invertebrate Fauna of Barrow Island, Western Australia. Australian Journal of Entomology, 50: 323-343. http://dx.doi.org/10.1111/j.1440-6055.2011.00818.x
Castalanelli, M. A., Severtson, D. L., Brumley, C. J., Szito, A., Foottit, R. G., Grimm, M., Munyard, K. & Groth, D .M. (2010). A Rapid Non-destructive DNA Extraction Method for Insects and Other arthropods. Journal of Asia-Pacific Entomology, 13: 243-248. http://dx.doi.org/10.1016/j.aspen.2010.04.003
Castalanelli, M. A., Mikac, K. M., Baker, A. M., Munyard, K., Grimm, M. & Groth, D. M. (2011). Multiple Incursions and Putative Species Revealed Using a Mitochondrial and Nuclear Phylogenetic Approach to the Trogoderma variabile (Coleoptera: Dermestidae) trapping program in Australia. Bulletin of Entomological Research, 101: 333-343. http://dx.doi.org/10.1017/S0007485310000544
Gibson, J., Shokralla, S., Porter, T. M., King, I., Van Konynenburg, S., Janzen, D. H., Hallwachs, W. & Hajibabael, M. (2014). Simultaneous Assessment of the Macrobiome and Microbiome in a Bulk Sample of Tropical Arthropods through DNA Metasystematics. PNAS 2014 June, 111 (22) 8007-8012. https://doi.org/10.1073/pnas.1406468111
Haas, B. J., Gevers, D., Earl, A. M., Feldgarden, M., Ward, D. V., Giannoukos, G., Ciulla, D., Tabbaa, D., Highlander, S. K., Sodergren, E. & Methé, B. (2011). Chimeric 16S rRNA Sequence Formation and Detection in Sanger and 454-pyrosequenced PCR Amplicons. Genome Research, 21: 494-504. http://dx.doi.org/10.1101/gr.112730.110
Heterick, B. E. (2013). A Taxonomic Overview and Key to the Ants of Barrow Island, Western Australia. Records of the Western Australian Museum, Supplement, 83: 375-404. http://dx.doi.org/10.18195/issn.0313-122x.83.2013.375-404
Ji, Y, Ashton, L., Pedley S. M., Edwards, D. P., Tang, Y., Nakamura, A., Kitching, R., Dolman, P. M., Woodcock, P., Edwards, F. A. & Larsen, T. H. (2013). Reliable, Verifiable and Efficient Monitoring of Biodiversity via Metabarcoding. Ecology Letters, 16:1245-1257. http://dx.doi.org/10.1111/ele.12162
Kocher, A., Gantier, J. C., Gaborit, P., Zinger, L., Holota, H., Valiere, S., Dusfour, I., Girod, R., Bañuls, A. L. & Murienne, J. (2017). Vector Soup: High‐Throughput Identification of Neotropical Phlebotomine Sand flies Using Metabarcoding. Molecular Ecology Resources, 17: 172-182. http://dx.doi.org/10.1111/1755-0998.12556
Majer, J. D., Callan, S. K., Edwards, K., Gunawardene, N. R. & Taylor, C. K. (2013). Baseline Survey of the Terrestrial Invertebrate Fauna of Barrow Island. Records of the Western Australian Museum, Supplement, 83:13-112. http://dx.doi.org/10.18195/issn.0313-122x.83.2013.013-112
Pochon, X., Bott, N. J., Smith, K. F. & Wood, S. A. (2013). Evaluating Detection Limits of Next-generation Sequencing for the Surveillance and Monitoring of International Marine Pests. PLoS ONE, 8(9): e73935. doi:10.1371/journal.pone.0073935
Purty, R. S. & Chatterjee, S. (2016). DNA Barcoding: An Effective Technique in Molecular Taxonomy. Austin Journal of Biotechnology and Bioengineering, 3: 1059. Available as Open Access on ResearchGate but apparently no DOI
Simon, C., Frati, F., Beckenbach, A., Crespi, B., Liu, H., & Flook, P. (1994). Evolution, Weighting, and Phylogenetic Utility of Mitochondrial Gene Sequences and a Compilation of Conserved Polymerase Chain Reaction Primers. Annals of the Entomological Society of America, 87: 651-701. https://doi.org/10.1093/aesa/87.6.651
Smith, M. A., Fisher, B. L. & Hebert P. D. N. (2005). DNA Barcoding for Effective Biodiversity Assessment of a Hyperdiverse Arthropod Group: the Ants of Madagascar. Philosophical Transactions of the Royal Society of London, B Biological Sciences, 360(1462): 1825-34. http://dx.doi.org/10.1098/rstb.2005.1714
Telfer, A. C., Young, M. R., Quinn, J., Perez, K., Sobel, C. N., Sones, J. E., Levesque-Beaudin, V., Derbyshire, R., Fernandez-Triana, J., Rougerie, R. & Thevanayagam, A., (2015). Biodiversity Inventories in High Gear: DNA Barcoding Facilitates a Rapid Biotic Survey of a Temperate Nature Reserve. Biodiversity Data Journal, 3: e6313 (30 Aug 2015) doi: 10.3897/BDJ.3.e6313
Thomas, M. L., Gunawardene, N., Horton, K., Williams, A., O’Connor, S., McKirdy, S. & Van der Merwe, J. (2017). Many Eyes on the Ground: Citizen Science is an Effective Early Detection Tool for Biosecurity. Biological Invasions, 19:1-15. http://dx.doi.org/10.1007/s10530-017-1481-6
Yang, C., Wang, X., Miller, J. A., De Blécourt, M., Ji, Y, Yang, C, Harrison, R.D. & Douglas, W. Y. (2014). Using Metabarcoding to Ask if Easily Collected Soil and Leaf-litter Samples Can be used as a General Biodiversity Indicator. Ecological Indicators, 46:379-89. http://dx.doi.org/10.1016/j.ecolind.2014.06.028
Yoon, T. H., Kang, H. E., Kang, C. K., Lee, S. H., Ahn, D. H., Park, H. & Kim, H. W. (2016). Development of a Cost-effective Metabarcoding Strategy for Analysis of the Marine Phyto-plankton Community. PeerJ 4, e2115; DOI 10.7717/peerj.2115
Yu, D. W., Ji, Y., Emerson, B.C., Wang, X., Ye, C., Yang, C. & Ding, Z. (2012). Biodiversity Soup: Metabarcoding of Arthropods for Rapid Biodiversity Assessment and Biomonitoring. Methods in Ecology and Evolution, 3: 613-623. http://dx.doi.org/10.1111/j.2041-210X.2012.00198.x
Downloads
Published
How to Cite
Issue
Section
License
Sociobiology is a diamond open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).