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Table 5 Estimated Ne (columns 1 and 3) based on the linkage disequilibrium (LD) model.

From: Microsatellite data suggest significant population structure and differentiation within the malaria vector Anopheles darlingi in Central and South America

 

LD 95% CI (columns 2 and 4)

 

Based on 5 loci

Based on 7–8 loci

Peru

1161.1

599.9 – 6815.7

379

316.5 – 464.8

   NAU

8

171.5 – 8

1786

205.6 – 8

   PRT

93.6

41.3 – 8

95.2

55.8 – 258.7

   MAZ

131.8

61.2 – 4139.3

61.7

46.4 – 87.9

   SHP

177.2

78.3 – 8

159

84.3 – 228.7

   SAE

1044.9

139.5 – 8

1929

245.3 – 8

   PCO

220.2

72.8 – 8

453.7

148.1 – 8

   ZUN

8

3405.4 – 8

8

251.0 – 8

CA

8

649.7 – 8

--

--

Belize

216

96.3 – 8274.7

--

--

   CAV

70.5

29 – 8

--

--

   GOL

526.6

45.9 – 8

--

--

   SIB

84.7

30 – 8

--

--

Guatemala

773.8

163.9 – 8

--

--

   SPB

62.6

27.9 – 1265.4

--

--

   SRO

8

72.6 – 8

--

--

   ELP

35.8

17.8 – 129.3

--

--

WCA Brazil†

233.6

195.4 – 284.0

202.4

186.1 – 220.8

NEA Brazil‡

8

2698.2 – 8

1405.8

539.0 – 8

SEAC Brazil‡

90.2

81.4 – 100.2

101.4

96.3 – 106.9

   BV

413.1

114.6 – 8

324.7

155.0 – 8

   PLT

144.2

90.4 – 316.8

120.7

96.50 – 158.9

  1. See Table 2 for abbreviations; †, the results for MAC, PVE, SMI, COA, NAI, CAS, PUR, RBR, and BAN are given in Scarpassa and Conn [38]; ‡, the results for LI, GA, STN, ARA, BEL, MOJ, and PEX are given in [37]; CI, confidence intervals; 8, infinity; --, no data.