Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-18T10:52:28.390Z Has data issue: false hasContentIssue false

The geography of parasite discovery across taxa and over time

Published online by Cambridge University Press:  17 July 2018

Robert Poulin*
Affiliation:
Department of Zoology, University of Otago, P.O. Box 56, Dunedin, New Zealand
Fátima Jorge
Affiliation:
Department of Zoology, University of Otago, P.O. Box 56, Dunedin, New Zealand
*
Author for correspondence: Robert Poulin, E-mail: [email protected]

Abstract

We need reliable data on the spatial distribution of parasites in order to achieve an inventory of global parasite biodiversity and establish robust conservation initiatives based on regional disease risk. This requires an integrated and spatially consistent effort toward the discovery of new parasite species. Using a large and representative dataset on the geographical coordinates where 4943 helminth species were first discovered, we first test whether the geographical distribution of parasite species reports is spatially congruent across helminth higher taxa; i.e. whether areas, where many trematodes are found, are also areas where many nematodes or cestodes have been discovered. Second, we test whether the global geographical distribution of new helminth species reports has changed significantly over time, i.e. across the last few decades. After accounting for spatial autocorrelation in the data, we find no strong statistical support for either of the patterns we investigated. Overall, our results indicate that helminth species discoveries are both spatially incongruent among higher taxa of helminths, and inconsistent over time. These findings suggest that the global parasite discovery effort is inefficient, spatially biased and subject to idiosyncrasies. Coordinated biodiscovery programmes, involving research teams with expertise in multiple taxonomic groups, seem the best approach to remedy these issues.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aguilar-Aguilar, R, Salgado-Maldonado, G, Contreras-Medina, R and Martinez-Aquino, A (2008) Richness and endemism of helminth parasites of freshwater fishes in Mexico. Biological Journal of the Linnean Society 94, 435444.Google Scholar
Beveridge, I and Jones, MK (2002) Diversity and biogeographical relationships of the Australian cestode fauna. International Journal for Parasitology 32, 343351.Google Scholar
Bivand, R and Piras, G (2015) Comparing implementations of estimation methods for spatial econometrics. Journal of Statistical Software 63, 136.Google Scholar
Bivand, RS, Hauke, J and Kossowski, T (2013) Computing the Jacobian in Gaussian spatial autoregressive models: an illustrated comparison of available methods. Geographical Analysis 45, 150179.Google Scholar
Bjørnstad, O. N. (2013). ncf: Spatial nonparametric covariance functions. R package version 1.1-5. Available at http://CRAN.R-project.org/package=ncf.Google Scholar
Brooks, DR and Hoberg, EP (2001) Parasite systematics in the 21st century: opportunities and obstacles. Trends in Parasitology 17, 273275.Google Scholar
Cribb, TH (2004) Living on the edge: parasite taxonomy in Australia. International Journal for Parasitology 34, 117123.Google Scholar
Cribb, TH (2016) Editorial: the biodiversity of trematodes of fishes. Systematic Parasitology 93, 219221.Google Scholar
Cribb, TH, Bott, NJ, Bray, RA, McNamara, MKA, Miller, TL, Nolan, MJ and Cutmore, SC (2014) Trematodes of the Great Barrier Reef: emerging patterns of diversity and richness in coral reef fishes. International Journal for Parasitology 44, 929939.Google Scholar
Cribb, TH, Bray, RA, Diaz, PE, Huston, DC, Kudlai, O, Martin, SB, Yong, RQ-Y and Cutmore, SC (2016) Trematodes of fishes of the Indo-west Pacific: told and untold richness. Systematic Parasitology 93, 237247.Google Scholar
Dobson, A, Lafferty, KD, Kuris, AM, Hechinger, RF and Jetz, W (2008) Homage to Linnaeus: how many parasites? How many hosts? Proceedings of the National Academy of Sciences of the USA 105, 1148211489.Google Scholar
Dormann, CF, McPherson, JM, Araujo, MB, Bivand, R, Bolliger, J, Carl, G, Davies, RG, Hirzel, A, Jetz, W, Kissling, WD, Kühn, I, Ohlemüller, R, Peres-Neto, PR, Reineking, B, Schröder, B, Schurr, FM and Wilson, R (2007) Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 30, 609628.Google Scholar
Gaston, K. J. (1996). Spatial covariance in the species richness of higher taxa. In Hochberg, M. E., Clobert, J. and Barbault, R. (eds), Aspects of the Genesis and Maintenance of Biological Diversity. Oxford, UK: Oxford University Press, pp. 221242.Google Scholar
Grenyer, R, Orme, CD, Jackson, SF, Thomas, GH, Davies, RG, Davies, TJ, Jones, KE, Olson, VA, Ridgely, RS, Rasmussen, PC, Ding, T-S, Bennett, PM, Blackburn, TM, Gaston, KJ, Gittleman, JL and Owens, IPF (2006) Global distribution and conservation of rare and threatened vertebrates. Nature 444, 9396.Google Scholar
Heino, J (2002) Concordance of species richness patterns among multiple freshwater taxa: a regional perspective. Biodiversity and Conservation 11, 137147.Google Scholar
Jones, KE, Patel, NG, Levy, MA, Storeygard, A, Balk, D, Gittleman, JL and Daszak, P (2008) Global trends in emerging infectious diseases. Nature 451, 990993.Google Scholar
Jorge, F and Poulin, R (2018) Poor geographical match between the distributions of host diversity and parasite discovery effort. Proceedings of the Royal Society B 285, 20180072.Google Scholar
Justine, J-L, Beveridge, I, Boxshall, GA, Bray, RA, Moravec, F and Whittington, ID (2010) An annotated list of fish parasites (Copepoda, Monogenea, Digenea, Cestoda and Nematoda) collected from emperors and emperor bream (Lethrinidae) in New Caledonia further highlights parasite biodiversity estimates on coral reef fish. Zootaxa 269, 140.Google Scholar
Justine, J-L, Beveridge, I, Boxshall, GA, Bray, RA, Miller, TL, Moravec, F, Trilles, J-P and Whittington, ID (2012) An annotated list of fish parasites (Isopoda, Copepoda, Monogenea, Digenea, Cestoda, Nematoda) collected from snappers and bream (Lutjanidae, Nemipteridae, Caesionidae) in New Caledonia confirms high parasite biodiversity on coral reef fish. Aquatic Biosystems 8, 22.Google Scholar
Keitt, TH, Bjørnstad, ON, Dixson, PM and Citron-Pousty, S (2002) Accounting for spatial pattern when modeling organism-environment interactions. Ecography 25, 616625.Google Scholar
Krasnov, BR, Mouillot, D, Khokhlova, IS, Shenbrot, GI and Poulin, R (2005) Covariance in species diversity and facilitation among non-interactive parasite taxa: all against the host. Parasitology 131, 557568.Google Scholar
Legendre, P. and Legendre, L. (1998). Numerical Ecology, 2nd Edn. Amsterdam: Elsevier.Google Scholar
O'Hara, RB and Kotze, DJ (2010) Do not log-transform count data. Methods in Ecology and Evolution 1, 118122.Google Scholar
Pearson, DL, Hamilton, AL and Erwin, TL (2011) Recovery plan for the endangered taxonomy profession. BioScience 61, 5863.Google Scholar
Pebesma, E. J. and Bivand, R. S. (2005). Classes and methods for spatial data in R. R News 5 (2). Available at https://cran.r-project.org/doc/Rnews/.Google Scholar
Pérez-Ponce de León, G and Choudhury, A (2010) Parasite inventories and DNA-based taxonomy: lessons from helminths of freshwater fishes in a megadiverse country. Journal of Parasitology 96, 236244.Google Scholar
Poulin, R (2014) Parasite biodiversity revisited: frontiers and constraints. International Journal for Parasitology 44, 581589.Google Scholar
Poulin, R. and Morand, S. (2004). Parasite Biodiversity. Washington, DC: Smithsonian Institution Press.Google Scholar
Poulin, R and Presswell, B (2016) Taxonomic quality of species descriptions varies over time and with the number of authors, but unevenly among parasite taxa. Systematic Biology 65, 11071116.Google Scholar
Prendergast, JR and Eversham, BC (1997) Species richness covariance in higher taxa: empirical tests of the biodiversity indicator concept. Ecography 20, 210216.Google Scholar
Quiroz-Martinez, B and Salgado-Maldonado, G (2013) Patterns of distribution of the helminth parasites of freshwater fishes of Mexico. PLoS ONE 8, e54787.Google Scholar
R Core Team (2017). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Available at https://www.R-project.org/.Google Scholar
Smith, KF (2009) Global pathogen distributions: a win-win for disease ecology and biogeography. EcoHealth 6, 479480.Google Scholar
Stephens, PR, Altizer, S, Smith, KF, Aguirre, AA, Brown, JH, Budischak, SA, Byers, JE, Dallas, TA, Davies, TJ, Drake, JM, Ezenwa, VO, Farrell, MJ, Gittleman, JL, Han, BA, Huang, S, Hutchinson, RA, Johnson, P, Nunn, CL, Onstad, D, Park, A, Vazquez-Prokopec, GM, Schmidt, JP and Poulin, R (2016) The macroecology of infectious diseases: a new perspective on global-scale drivers of pathogen distributions and impacts. Ecology Letters 19, 11591171.Google Scholar
Venables, W. N. and Ripley, B. D. (2002). Modern Applied Statistics with S, 4th Edn. New York: Springer.Google Scholar
Vilela, B and Villalobos, F (2015) Letsr: a new R package for data handling and analysis in macroecology. Methods in Ecology and Evolution 6, 12291234.Google Scholar
Waeber, PO, Gardner, CJ, Lourenço, WR and Wilmé, L (2017) On specimen killing in the era of conservation crisis: a quantitative case for modernizing taxonomy and biodiversity inventories. PLoS ONE 12, e0183903.Google Scholar
Wolters, V, Bengtsson, J and Zaitsev, AS (2006) Relationship among the species richness of different taxa. Ecology 87, 18861895.Google Scholar
Zuur, AF, Leno, EN and Elphick, CS (2010) A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution 1, 314.Google Scholar