The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Species Delimitation and Global Biosecurity
Open accessAbstract
Species delimitation directly impacts on global biosecurity. It is a critical element in the decisions made by national governments in regard to the flow of trade and to the biosecurity measures imposed to protect countries from the threat of invasive species. Here we outline a novel approach to species delimitation, “tip to root”, for two highly invasive insect pests, Bemisia tabaci (sweetpotato whitefly) and Lymantria dispar (Asian gypsy moth). Both species are of concern to biosecurity, but illustrate the extremes of phylogenetic resolution that present the most complex delimitation issues for biosecurity; B. tabaci having extremely high intra-specific genetic variability and L. dispar composed of relatively indistinct subspecies. This study tests a series of analytical options to determine their applicability as tools to provide more rigorous species delimitation measures and consequently more defensible species assignments and identification of unknowns for biosecurity. Data from established DNA barcode datasets (COI), which are becoming increasingly considered for adoption in biosecurity, were used here as an example. The analytical approaches included the commonly used Kimura two-parameter (K2P) inter-species distance plus four more stringent measures of taxon distinctiveness, (1) Rosenberg's reciprocal monophyly, (P(AB)), 1 (2) Rodrigo's (P(randomly distinct)), 2 (3) genealogical sorting index, ( gsi), 3 and (4) General mixed Yule- coalescent (GMYC). 4 , 5 For both insect datasets, a comparative analysis of the methods revealed that the K2P distance method does not capture the same level of species distinctiveness revealed by the other three measures; in B. tabaci there are more distinct groups than previously identified using the K2P distances and for L. dipsar far less variation is apparent within the predefined subspecies. A consensus for the results from P(AB), P(randomly distinct) and gsi offers greater statistical confidence as to where genetic limits might be drawn. In the species cases here, the results clearly indicate that there is a need for more gene sampling to substantiate either the new cohort of species indicated for B. tabaci or to detect the established subspecies taxonomy of L. dispar. Given the ease of use through the Geneious species delimitation plugins, similar analysis of such multi-gene datasets would be easily accommodated. Overall, the tip to root approach described here is recommended where careful consideration of species delimitation is required to support crucial biosecurity decisions based on accurate species identification.
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Cites
Kimura, M. (1980) · Journal of Molecular Evolution · doi:10.1007/bf01731581 · Cited by 29,778
Pimentel, D., Zuniga, R., & Morrison, D. (2005) · Ecological Economics · doi:10.1016/j.ecolecon.2004.10.002 · Cited by 4,771
Bayesian inference of species trees from multilocus data
Heled, J., & Drummond, A. J. (2010) · Molecular Biology and Evolution · doi:10.1093/molbev/msp274 · Cited by 2,453
DNA barcoding: error rates based on comprehensive sampling
Meyer, C. P., & Paulay, G. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030422 · Cited by 1,957
Bayesian species delimitation using multilocus sequence data
Yang, Z., & Rannala, B. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913022107 · Cited by 1,405
Cited by
Impact of Host Plant Species and Whitefly Species on Feeding Behavior of Bemisia tabaci
Milenovic, M., Wosula, E. N., Rapisarda, C., & Legg, J. P. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00001 · Cited by 389
Metadata
- Authors
- Boykin, L. M., Armstrong, K. F., Kubatko, L., & De Barro, P.
- Venue
- Evolutionary Bioinformatics
- Publisher
- SAGE Publications
- Published
- 2011-12-08
- Volume
- 8
- Pages
- 1-37
- ISSN
- 1176-9343 (ISSN-L)
- OpenAlex
- W2009116080
- Cited by
- 200
- References
- 5
- FWCI
- 18.07
- Type
- journal article
- Language
- en
- Open access
- gold
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- Boykin, L. M., Armstrong, K. F., Kubatko, L., & De Barro, P. (2012). Species Delimitation and Global Biosecurity. Evolutionary Bioinformatics. https://doi.org/10.4137/ebo.s8532
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