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Table 1 Sampling details of P. ferruginea
Sampling station Code Geographical location of Reference on Latitude; longitude Sampling period No. of individuals
sampling station map in Fig. 1 analysed ISSR/mtDNA
0
0
00
00
Cala Sant’Andrea ACS NW Sardinia Inbox ‘‘a’’ 41°00 52.17 N; 08°15 08.65 E Mar. 2005 10/7 (3*)
00
0
00
0
Punta Sabina APS 41°05 21.35 N; 08°21 03.07 E Mar. 2005 10/8 (4*)
0
00
00
0
Pedra Bianca APB 41°00 09.00 N; 08°12 34.44 E Mar. 2005 10/8 (4*)
00
00
0
0
Mal di Ventre MVE 39°59 23.75 N; 08°17 52.32 E Mar. 2005 9/8 (5*)
0
00
0
00
Coscia di Donna CDN 40°54 00.83 N; 08°13 09.85 E Aug. 2006 9/8
0
00
0
00
Isola dei Porri IPO 40°52 53.61 N; 08°12 52.04 E Aug. 2006 4/4
00
0
0
00
Argentiera ARG 40°43 30.69 N; 08°08 50.30 E Feb. 2007 11/9 (4*)
0
0
00
00
Punta li Francesi PLF NE Sardinia Inbox ‘‘a’’ 41°08 09.56 N; 09°03 09.44 E Feb. 2007 10/7
0
00
00
0
Nido d’Aquila NAQ 41°12 52.84 N; 09°22 47.56 E Feb. 2007 3/2
00
0
0
00
Molara MLA 40°52 35.66 N; 09°43 48.04 E Jun. 2008 8/7
0
0
00
00
Molarotto MLT 40°52 27.52 N; 09°46 43.64 E Jun. 2008 9/7 (4*)
0
0
00
00
Madonnetta MAD 41°13 50.30 N; 09°22 34.28 E Sept. 2009 10/8
00
00
0
0
Pittulongu PIT 40°57 06.31 N; 09°34 40.81 E Nov. 2009 7/6
00
0
00
0
Cala Greca CGR 40°59 14.72 N; 09°39 12.99 E Nov. 2009 8/8
0
00
00
0
Galeria GAL Corsica Inbox ‘‘a’’ 42°24 55.70 N; 08°39 08.29 E Jan. 2009 5/5
0
00
00
0
Cargese CAR 42°07 44.24 N; 08°35 13.82 E Jan. 2009 5/5
0
00
00
0
Tizzano TIZ 41°32 19.26 N; 08°51 03.41 E Jan. 2009 1/1
00
00
0
0
Bonifacio BOF 41°23 14.17 N; 09°08 37.96 E Jan. 2009 1/1
00
0
0
00
Cape Bon CAP Siculo-Tunisian Inbox ‘‘b’’ 36827 12.19 N; 10847 29.90 E Apr. 2008 10/9*
00
0
00
0
Zembra Is. ZEM Strait (Tunisia) 37°07 44.65 N; 10°47 32.70 E Jun. 2009 5/4
00
0
00
0
Pantelleria PAN Siculo-Tunisian Inbox ‘‘b’’ 36°50 22.32 N; 11°57 14.26 E Jun. 2009 1/1
00
00
0
0
Marettimo MAR 37°58 14.41 N: 12°04 15.90 E Jun. 2009 2/2
00
0
00
0
Favignana FAV Strait (Sicily) 37°57 08.48 N; 12°18 12.73 E Jun. 2009 2/2
0
0
00
00
Gibraltar LIT Strait of Gibraltar Inbox ‘‘c’’ 36807 13.10 N; 05821 09.38 W Sept. 2004 5/4*
00
00
0
0
Parque Mediterra ´neo PAR 35853 23.89 N; 05818 37.60 W Sept. 2004 5/4*
00
0
0
00
Dique de Poniente DIQ 35853 53.61 N; 05819 06.02 W Oct. 2004 8/6*
00
0
00
0
Desnarigado DES 35853 38.57 N; 05816 52.34 W Sept. 2008 4/3
00
00
0
0
Chorrillo CRL 35852 52.84 N: 05819 25.62 W Sept. 2008 5/5
0
0
00
00
Alboran Is. ALB Alboran Sea Inbox ‘d’ 35°54 02.59 N; 03°02 01.45 W Sept. 2004 6/4*
00
0
00
0
Melilla MEL 35819 28.23 N; 02857 21.16 W Sept. 2004 10/5*
0
00
0
00
Chafarinas Is. CHA 35810 54.04 N: 02825 54.18 W Sept. 2004 10/8*
0
00
00
0
Plane Is. PLA 35819 08.48 N; 01828 45.00 W Apr. 2008 4/4
00
00
0
0
Habibas Is. HAB 35843 09.69 N: 01808 16.33 W Apr. 2008 6/4
Asterisks (*) follow individuals whose COI sequences were obtained from GenBank
(Nybom 2004). Thus, seven primers tested in the previous results with the STRUCTURE results, the module for the
study (Casu et al. 2006) were used for genotyping the 213 nonspatial clustering of individuals was used. We per-
specimens (Table 2). The PCR mixture, amplification and formed ten independent analyses to assess the reliability of
electrophoretic techniques were performed as described in results. In each analysis the number of clusters (K) was
Casu et al. (2006). estimated by a range of possible values (K = 2 up to 35).
To overcome potential problems due to small sampling The algorithm was reiterated on each predefined value of
size at a number of localities, the underlying genetic pop- K five times. The clustering solution with the highest mean
ulation structure was inferred using an individual-based posterior probability computed over the ten independent
approach (Luikart et al. 2003) using the Bayesian model- runs was chosen as the partition on which the admixture
based clustering algorithms implemented in the software analysis was subsequently performed (Va ¨ha ¨ et al. 2007).
package BAPS 5.2 (Corander and Tang 2007) and STRUCTURE analysis, which assumes that K is known
STRUCTURE 2.2.3 (Pritchard et al. 2000). in advance, was used to assess the occurrence of hierar-
BAPS analysis is used to infer the number of genetic chical levels of genetic structure. The method is hereafter
clusters (K) in the data set, where K is treated as an described: in a given dataset STRUCTURE identifies the
unknown parameter to be estimated. To compare the BAPS uppermost hierarchical structure that corresponds to the
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