title: Spatial genetic analysis reveals high connectivity of tiger (Panthera tigris) populations in the Satpura-Maikal landscape of Central India.
abstract: We investigated the spatial genetic structure of the tiger meta-population in the Satpura-Maikal landscape of central India using population- and individual-based genetic clustering methods on multilocus genotypic data from 273 individuals. The Satpura-Maikal landscape is classified as a global-priority Tiger Conservation Landscape (TCL) due to its potential for providing sufficient habitat that will allow the long-term persistence of tigers. We found that the tiger meta-population in the Satpura-Maikal landscape has high genetic variation and very low genetic subdivision. Individual-based Bayesian clustering algorithms reveal two highly admixed genetic populations. We attribute this to forest connectivity and high gene flow in this landscape. However, deforestation, road widening, and mining may sever this connectivity, impede gene exchange, and further exacerbate the genetic division of tigers in central India.
authors: Smithsonian Conservation Biology Institute, National Zoological Park Washington, District of Columbia, 20013-7012 ; Environmental Science & Policy Department, George Mason University Fairfax, Virginia, 22030-4444.
authors: Sandeep
authors: S
authors: Sharma
authors: Trishna
authors: T
authors: Dutta
authors: Jesús E
authors: JE
authors: Maldonado
authors: Thomas C
authors: TC
authors: Wood
authors: Hemendra Singh
authors: HS
authors: Panwar
authors: John
authors: J
authors: Seidensticker
keywords: Central India; Panthera tigris; connectivity; non-invasive genetic analysis; spatial genetics; tiger
references: Forensic Sci Int. 2005 Jun 30;151(1):45-51
references: 15935942
references: Heredity (Edinb). 2009 May;102(5):506-13
references: 19174839
references: PLoS Biol. 2010 Sep 14;8(9):
references: 20856904
references: PLoS Biol. 2004 Dec;2(12):e442
references: 15583716
references: Electrophoresis. 1997 Aug;18(9):1693-700
references: 9378147
references: Mol Ecol. 2001 Jan;10(1):249-56
references: 11251803
references: Mol Ecol. 2008 Sep;17(18):4015-26
references: 19238703
references: Evol Bioinform Online. 2007 Feb 23;1:47-50
references: 19325852
references: Nucleic Acids Res. 1996 Aug 15;24(16):3189-94
references: 8774899
references: Q Rev Biol. 1999 Mar;74(1):21-45
references: 10081813
references: Evolution. 1995 Dec;49(6):1280-1283
references: 28568523
references: BMC Genet. 2009 Dec 04;10:79
references: 19961605
references: PLoS One. 2012;7(1):e29827
references: 22253791
references: Mol Ecol. 2005 Jul;14(8):2611-20
references: 15969739
references: PLoS Genet. 2009 Aug;5(8):e1000585
references: 19680439
references: BMC Genet. 2006 Oct 17;7:48
references: 17044939
references: Mol Ecol Resour. 2010 Sep;10(5):773-84
references: 21565089
references: Mol Biol Evol. 2007 Mar;24(3):621-31
references: 17150975
references: Mol Ecol. 2001 Feb;10(2):305-18
references: 11298947
references: Evolution. 1989 Jan;43(1):223-225
references: 28568501
references: Genetics. 1996 Dec;144(4):2001-14
references: 8978083
references: Mol Ecol Resour. 2010 May;10(3):556-7
references: 21565057
references: Genomics. 1999 Apr 1;57(1):9-23
references: 10191079
references: Mol Ecol. 2007 Mar;16(5):1099-106
references: 17305863
references: Am J Hum Genet. 1967 May;19(3 Pt 1):233-57
references: 6026583
references: Biometrics. 1992 Jun;48(2):361-72
references: 1637966
references: Genetics. 2000 Jun;155(2):945-59
references: 10835412
references: Integr Zool. 2010 Dec;5(4):285-299
references: 21392347
references: J Forensic Sci. 2005 Sep;50(5):1061-70
references: 16225210
references: Mol Ecol. 2010 Oct;19(19):4179-91
references: 20819159
references: Genetics. 2003 Aug;164(4):1567-87
references: 12930761