Abstract
Original language | English (US) |
---|---|
Pages (from-to) | 487-502 |
Number of pages | 16 |
Journal | Global Ecology and Conservation |
Volume | 3 |
DOIs | |
State | Published - 2015 |
Externally published | Yes |
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In: Global Ecology and Conservation, Vol. 3, 2015, p. 487-502.
Research output: Contribution to journal › Research Article › peer-review
TY - JOUR
T1 - Large divergence and low diversity suggest genetically informed conservation strategies for the endangered Virgin Islands Boa (Chilabothrus monensis)
AU - Reynolds, R.G.
AU - Puente-Rolón, A.R.
AU - Platenberg, R.
AU - Tyler, R.K.
AU - Tolson, P.J.
AU - Revell, L.J.
N1 - Cited By :1 Export Date: 17 April 2018 Correspondence Address: Reynolds, R.G.; Dept. of Organismic and Evolutionary Biology and oMuseum of Comparative Zoology, Harvard University, 26 Oxford St., United States Funding details: University of Massachusetts Boston Funding details: 2012-EPE-001 Funding details: 2011-EPE-015 Funding details: 97-EPE-2 Funding details: TE63270A-0 Funding details: USFWS, U.S. Fish and Wildlife Service Funding details: DRN 93-104 Funding details: DRN-93-84 Funding details: DRN 86-80 Funding details: Harvard Catalyst Funding details: 2011006, University of Massachusetts Boston Funding text: We are grateful to the Puerto Rico Departamento de Recursos Naturales y Ambientales (DRNA) for permits and assistance. All samples were collected under DRNA permits 2012-EPE-001 (to RGR); 2011-EPE-015, 97-EPE-2, 97 EPE-11, 96 EPE-11, DRN 95-74; US Virgin Islands Department of Planning and Natural Resources (DPNR) permits DRN-93-84, DRN 93-104, and DRN 86-80 (to PJT); US Fish and Wildlife Service Native Endangered Species Recovery Permit # TE63270A-0 (to RGR); US Fish and Wildlife Service Permits SA 86-14, SA 88-2, SA 90-13, and SA 93-15 (to PJT); and a DPNR Section 6 Cooperative Agreement with the United States Fish and Wildlife Service (USFWS). We are grateful for funding from the USFWS Southeast Region Endangered Species Recovery Implementation for related work and for support from the University of Massachusetts Boston. We would like to thank Rosario Castañeda, Ambika Kamath, and the Losos Lab at Harvard for comments on earlier versions of the manuscript, and Ben Fitzpatrick for assistance with simulation scripts. We thank S. Blair Hedges for discussion related to this work and for assistance with sample curation. We also thank the participants of the 2013 Caribbean and Latin American Boa Specialist Group meeting, held in Arecibo, Puerto Rico, for excellent discussions related to this project. This work has been approved by the University of Massachusetts Boston Institutional Animal Care and Use Committee (IACUC) Protocol no. 2011006, and reviewed annually. We thank the editor and three anonymous reviewers for excellent comments on a previous version of the manuscript. Appendix A References: Allendorf, F.W., Luikart, G.H., Aitken, S.A., (2012) Conservation and the Genetics of Populations, , Wiley-Blackwell, United Kingdom; Avise, J.C., (2004) Molecular Markers, Natural History, and Evolution, , Sinauer Associates, Massachusetts; Balloux, F., EASYPOP (Version 1.7): a computer program for population genetics simulations (2001) J. 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PY - 2015
Y1 - 2015
N2 - The Virgin Islands boa (. Chilabothrus monensis) was listed as critically endangered by the U.S. Fish and Wildlife Service in 1979, and is presently known to occur in two disjunct regions: Isla de Mona and the eastern Puerto Rico Bank. Populations of the species are highly vulnerable and are hypothesized to have contracted considerably from their former range. Here we conduct intraspecific genetic analyses for this species using mitochondrial and nuclear loci as well as population genetic simulations. In so doing, we characterize nine microsatellite markers for C. monensis and demonstrate their potential usefulness for in situ or ex situ conservation genetic analysis. We find that populations on the Puerto Rico Bank are highly divergent (3.03% sequence divergence; 2.10 Mya temporal divergence) from Isla de Mona animals and that little genetic diversity exists within or among these sampling sites. Furthermore, we provide recommendations and an assessment of translocation/reintroduction potential for this species based on the genetic data presented herein. Our study also highlights the usefulness of simulations for assessing small sample size in conservation genetic studies. We anticipate that these results and genetic tools will be useful in formulating a comprehensive conservation genetic approach for Virgin Island boas. © 2015 The Authors.
AB - The Virgin Islands boa (. Chilabothrus monensis) was listed as critically endangered by the U.S. Fish and Wildlife Service in 1979, and is presently known to occur in two disjunct regions: Isla de Mona and the eastern Puerto Rico Bank. Populations of the species are highly vulnerable and are hypothesized to have contracted considerably from their former range. Here we conduct intraspecific genetic analyses for this species using mitochondrial and nuclear loci as well as population genetic simulations. In so doing, we characterize nine microsatellite markers for C. monensis and demonstrate their potential usefulness for in situ or ex situ conservation genetic analysis. We find that populations on the Puerto Rico Bank are highly divergent (3.03% sequence divergence; 2.10 Mya temporal divergence) from Isla de Mona animals and that little genetic diversity exists within or among these sampling sites. Furthermore, we provide recommendations and an assessment of translocation/reintroduction potential for this species based on the genetic data presented herein. Our study also highlights the usefulness of simulations for assessing small sample size in conservation genetic studies. We anticipate that these results and genetic tools will be useful in formulating a comprehensive conservation genetic approach for Virgin Island boas. © 2015 The Authors.
U2 - 10.1016/j.gecco.2015.02.003
DO - 10.1016/j.gecco.2015.02.003
M3 - Research Article
SN - 2351-9894
VL - 3
SP - 487
EP - 502
JO - Global Ecology and Conservation
JF - Global Ecology and Conservation
ER -