Skip to main content

Advertisement

Log in

Conservation genetics of the central newt (Notophthalmus viridescens) in Iowa: the importance of a biogeographic framework

  • Research Article
  • Published:
Conservation Genetics Aims and scope Submit manuscript

Abstract

In light of global declines in amphibian populations, genetic data have become increasingly important for understanding population structure and for revealing hidden diversity. At the species level, Notophthalmus viridescens is an IUCN species of “least concern”, but the subspecies N. v. louisianensis (central newt) is listed as “threatened” in Iowa, a state on the western periphery of the species range. Genetic data were collected from 282 N. v. louisianensis from 14 sites in Iowa. Sequences from 1,054 nucleotides of mitochondrial DNA from Iowa newts revealed unexpected diversity in the form of two major haplotype groups that are not sister clades, with southern Iowa N. v. louisianensis being more closely related to N. v. piaropicola (peninsula newt) from Florida than to consubspecifics in Iowa. Sequence differentiation indicates that the two lineages of newts present in Iowa diverged near the beginning of the Pleistocene. Northern and southern Iowa haplotypes were found together at one site, indicating an opportunity for hybridization near Remington’s biogeographic suture zone 1, a hotspot for hybridization in other species. Three microsatellite loci provided additional evidence for distinctness of northern and southern Iowa newt populations. This study highlights the relevance of historical biogeography to conservation, as management strategies for N. v. louisianensis in Iowa must reflect previously unrecognized diversity in this species. Nuclear and mitochondrial data indicate genetic isolation of nearby populations on the same drainage, and field data suggest the decline of one study population, emphasizing the need for identification and protection of newt breeding sites in Iowa.

This is a preview of subscription content, log in via an institution to check access.

Access this article

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • AmphibiaWeb (2011) Information on amphibian biology and conservation. AmphibiaWeb. http://amphibiaweb.org/. Accessed 24 Oct 2011

  • Barinaga M (1990) Where have all the froggies gone? Science 247:1033–1034

    Article  PubMed  CAS  Google Scholar 

  • Benjamini Y, Yekutieli D (2001) The control of false discovery rate under dependency. Ann Stat 29:1165–1188

    Article  Google Scholar 

  • Blaustein A, Kiesecker J (2002) Complexity in conservation: lessons from the global decline of amphibian populations. Ecol Lett 5:597–608

    Article  Google Scholar 

  • Caccone A, Milinkovitch MC, Sbordoni V, Powell JR (1997) Mitochondrial DNA rates and biogeography in European newts (genus Euproctus). Syst Biol 46:126–144

    Article  PubMed  CAS  Google Scholar 

  • Camper JD (1988) The status of three uncommon salamanders (Amphibia: Caudata) in Iowa. J Iowa Acad Sci 95:127–130

    Google Scholar 

  • Croshaw D, Glenn T (2003) Seven polymorphic microsatellite DNA loci from the red-spotted newt (Notophthalmus viridescens). Mol Ecol Notes 3:514–516

    Article  CAS  Google Scholar 

  • Drummond AJ, Ashton B, Buxton S, Cheung M, Cooper A, Duran C, Field M, Heled J, Kearse M, Markowitz S, Moir R, Stones-Havas S, Sturrock S, Thierer T, Wilson A (2011) Geneious v5.4

  • Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32:1792–1797

    Article  PubMed  CAS  Google Scholar 

  • Emel SL, Storfer A (2012) A decade of amphibian population genetics studies: synthesis and recommendations. Conserv Genet 13:1685–1689

    Google Scholar 

  • Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:2611–2620

    Article  PubMed  CAS  Google Scholar 

  • Excoffier L, Lischer HEL (2010) Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Notes (in press)

  • Falush D, Stephens M, Pritchard JK (2003) Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164:1567–1587

    PubMed  CAS  Google Scholar 

  • Gabor C, Nice C (2004) Genetic variation among populations of eastern newts, Notophthalmus viridescens: a preliminary analysis based on allozymes. Herpetologica 60:373–386

    Article  Google Scholar 

  • Gates J, Thompson E (1982) Small pool habitat selection by red-spotted newts in western Maryland. J Herpetol 16:7–15

    Article  Google Scholar 

  • Gill D (1978) The metapopulation ecology of the red-spotted newt, Notophthalmus viridescens (Rafinesque). Ecol Monogr 48:145–166

    Google Scholar 

  • Glaubitz J (2004) convert: a user-friendly program to reformat diploid genotypic data for commonly used population genetic software packages. Mol Ecol Notes 4:309–310

    Article  CAS  Google Scholar 

  • Goudet J (1995) FSTAT (version 1.2): a computer program to calculate F-statistics. J Hered 86:485

    Google Scholar 

  • Goudet J (2001) FSTAT, a program to estimate and test gene diversities and fixation indices (version 2.9.3)

  • Hammerson G (2004) Notophthalmus viridescens. In: IUCN 2012. IUCN red list of threatened species. Version 2012.1. http://www.iucnredlist.org/details/59453/0. Accessed on 27 Aug 2012

  • Hewitt G (2000) The genetic legacy of the quaternary ice ages. Nature 405:907–913

    Article  PubMed  CAS  Google Scholar 

  • Hubisz MJ, Falush D, Falush D, Stephens M, Prichard JK (2009) Inferring weak population structure with the assistance of sample group information. Mol Ecol Resour 9:1322–1332

    Article  PubMed  Google Scholar 

  • Jakobsson M, Rosenberg NA (2007) CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics 23:1801–1806

    Article  PubMed  CAS  Google Scholar 

  • Jensen JL, Bohonak AJ, Kelley ST (2005) Isolation by distance, web service. BMC Genet 6:13

    Article  PubMed  Google Scholar 

  • Jones A, Blouin M, Arnold S (2001) Genetic variation in two populations of the rough-skinned newt (Taricha granulosa) assessed using novel tetranucleotide microsatellite loci. Mol Ecol Notes 1:293–296

    Article  CAS  Google Scholar 

  • Kalinowski ST (2010) The computer program STRUCTURE does not reliably identify the main genetic clusters within species: simulations and implications for human population structure. Heredity 106:1–8

    Google Scholar 

  • Krysko KL, Enge KM, Moler PE (2011) Atlas of amphibians and reptiles in Florida, final report, project agreement 08013. Florida Fish and Wildlife Conservation Commission, Tallahassee, p 524

    Google Scholar 

  • Narum SR (2006) Beyond Bonferroni: less conservative analyses for conservation genetics. Conserv Genet 7:783–787

    Article  CAS  Google Scholar 

  • Nei M, Kumar S (2000) Molecular evolution and phylogenetics. Oxford University Press, New York

    Google Scholar 

  • Peakall R, Smouse P (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295

    Article  Google Scholar 

  • Pechmann J, Wilbur H (1994) Putting declining amphibian populations in perspective: natural fluctuations and human impacts. Herpetologica 50:65–84

    Google Scholar 

  • Pechmann J, Scott D, Semlitsch R, Caldwell J, Vitt L, Gibbons J (1991) Declining amphibian populations: the problem of separating human impacts from natural fluctuations. Science 253:892–895

    Article  PubMed  CAS  Google Scholar 

  • Petranka JW (1998) Salamanders of the United States and Canada. Smithsonian Institution Press, Washington, DC, p 587

    Google Scholar 

  • Posada D, Crandall KA (1998) MODELTEST: testing the model of DNA substitution. Bioinformatics, Oxford, pp 817–818

    Google Scholar 

  • Pounds JA, Bustamante MR, Coloma LA, Consuegra JA, Fogden MPL, Foster PN, La Marca E, Masters KL, Merino-Viteri A, Puschendorf R, Ron SR, Sánchez-Azofeifa GA, Still CJ, Young BE (2006) Widespread amphibian extinctions from epidemic disease driven by global warming. Nature 439:161–167

    Article  PubMed  CAS  Google Scholar 

  • Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959

    PubMed  CAS  Google Scholar 

  • Reilly SM (1990) Biochemical systematics and evolution of the eastern North American newts, genus Notophthalmus (Caudata: Salamandridae). Herpetologica 46:51–59

    Google Scholar 

  • Remington CL (1968) Suture-zones of hybrid interaction between recently joined biotas. In: Dobzhansky T, Hecht MK, Steere WC (eds) Evolutionary biology. Plenum Press, New York, pp 321–428

    Chapter  Google Scholar 

  • Rinehart KA, Donovan TM, Mitchell BR, Long RA (2009) Factors influencing occupancy patterns of eastern newts across Vermont. J Herpetol 43:521–531

    Article  Google Scholar 

  • Rosenberg NA (2004) DISTRUCT: a program for the graphical display of population structure. Mol Ecol Notes 4:137–138

    Article  Google Scholar 

  • Savage WK, Fremier AK, Shaffer B (2010) Landscape genetics of alpine Sierra Nevada salamanders reveal extreme population subdivision in space and time. Mol Ecol 19:3301–3314

    Article  PubMed  Google Scholar 

  • Schuelke M (2000) An economic method for the fluorescent labeling of PCR fragments. Nat Biotechnol 18:233–234

    Article  PubMed  CAS  Google Scholar 

  • Slatkin M (1995) A measure of population subdivision based on microsatellite allele frequencies. Genetics 139:457–462

    PubMed  CAS  Google Scholar 

  • Stuart SN, Chanson JS, Cox NA, Young BE, Rodrigues ASL, Fischman DL, Waller RW (2004) Status and trends of amphibian declines and extinctions worldwide. Science, New York, pp 1783–1786

    Google Scholar 

  • Swenson NG, Howard DJ (2004) Do suture zones exist? Evolution 58:2391–2397

    PubMed  Google Scholar 

  • Swofford DL (2003) PAUP*. Phylogenetic analysis using parsimony (*and other methods). Sinauer Associates, Sunderland

    Google Scholar 

  • Takahashi MK, Parris MJ (2008) Life cycle polyphenism as a factor affecting ecological divergence within Notophthalmus viridescens. Oecologia 158:23–34

    Article  PubMed  Google Scholar 

  • Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28:2731–2739

    Article  PubMed  CAS  Google Scholar 

  • Travis J (1994) Calibrating our expectations in studying amphibian populations. Herpetologica 50:104–108

    Google Scholar 

  • van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P (2004) Micro-checker: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4:535–538

    Article  Google Scholar 

  • Vucetich JA, Waite TA (2003) Spatial patterns of demography and genetic processes across the species’ range: null hypotheses for landscape conservation genetics. Conserv Genet 4:639–645

    Article  Google Scholar 

  • Wake DB, Vredenburg VT (2008) Colloquium paper: are we in the midst of the sixth mass extinction? A view from the world of amphibians. Proc Natl Acad Sci 105(Suppl 1):11466–11473

    Article  PubMed  CAS  Google Scholar 

  • Zhang P, Papenfuss TJ, Wake MH, Qu L, Wake DB (2008) Phylogeny and biogeography of the family Salamandridae (Amphibia: Caudata) inferred from complete mitochondrial genomes. Mol Phylogenet Evol 49:586–597

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

We thank Jeffrey W. Tamplin for providing newt samples from West Virginia and Harlo Hadow for providing newt samples from Behren’s Pond. Neil Bernstein offered advice, equipment, and samples for the project. Terry Van De Walle and Jeff LeClere provided records of known newt populations. James W. Demastes advised specimen collection and provided critical review of this manuscript. Jonathan Eastman made many helpful suggestions for data analysis and presentation. We thank Laura Whitmore, Andrew Heise, and Esther Heise for help in the field. Lauren Dougall, Sheree Harper, Shantra Neuhring, and Kayla Peiffer assisted in the lab. We thank Matt Fisher (Nature Conservancy) and other landowners for access to their respective properties. We thank Andrew Storfer, Jason Baumsteiger, Mizuki Takahashi, and Jonathan Eastman for Noto1 and Noto2 primer sequences. Jack Kosmicki drew Fig. 1. Comments from two anonymous reviewers and the editor of this article improved the quality of this manuscript. This work was funded by a Wildlife Diversity Small Grant from the Iowa Department of Natural Resources and by grants from the College of Natural Sciences and the Intercollegiate Academic Fund of University of Northern Iowa.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Theresa A. Spradling.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 340 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Whitmore, S.S., Losee, S., Meyer, L. et al. Conservation genetics of the central newt (Notophthalmus viridescens) in Iowa: the importance of a biogeographic framework. Conserv Genet 14, 771–781 (2013). https://doi.org/10.1007/s10592-013-0472-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10592-013-0472-0

Keywords

Navigation