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Table 3 Genetic variability of SSR markers for functionally important genes in three populations of nine-spined sticklebacks.

From: Utility of sequenced genomes for microsatellite marker development in non-model organisms: a case study of functionally important genes in nine-spined sticklebacks (Pungitius pungitius)

Gene ID Locus Total A Baltic Sea Lake 1 Pyöreälampi
    Size (bp) A H E F IS Size (bp) A H E F IS Size (bp) A H E F IS
ACAPRb Ppgm2 3 382-414 3 0.573 -0.017 410 1 0.000 na 414 1 0.000 na
AE1 Ppgm3 15 214-260 10 0.779 -0.070 226-308 6 0.560 0.146 228 1 0.000 na
ATP1A2 Ppgm7 9 117-143 9 0.774 -0.077 117-139 3 0.576 -0.085 135 1 0.000 na
ATP4A Ppgm8 2 186-196 2 0.042 0.000 186 1 0.000 na 186 1 0.000 na
ATP6V1Aa Ppgm9 7 187-199 7 0.783 -0.065 189-191 2 0.504 -0.324 191 1 0.000 na
ATP6V1Ab Ppgm10 4 102-110 3 0.265 0.058 98-110 2 0.451 -0.293 110 1 0.000 na
CFTR Ppgm11 10 129-159 9 0.593 0.157 139-143 2 0.359 -0.278 149 1 0.000 na
CLCN3 Ppgm12 25 185-241 20 0.935 -0.023 194-225 6 0.755 0.118 193-195 2 0.437 -0.241
CLCN7 Ppgm14 8 245-266 6 0.626 0.001 254-261 4 0.746 0.107 256 1 0.000 na
CSP2 Ppgm16 3 184-192 3 0.490 -0.360 184 1 0.000 na 184 1 0.000 na
DIO1 Ppgm17 4 162-166 4 0.545 0.123 162-166 2 0.254 -0.150 166 1 0.000 na
eEF1A1b Ppgm18 5 217-229 5 0.715 0.125 227-229 2 0.223 -0.122 225 1 0.000 na
FERH1 Ppgm19 4 217-235 4 0.352 0.054 232-235 2 0.496 -0.007 235 1 0.000 na
FGF6a Ppgm20 14 332-346 12 0.859 -0.063 335-340 4 0.624 0.132 337 1 0.000 na
FGF18 Ppgm21 6 331-347 6 0.723 -0.038 335-343 2 0.511 0.021 335 1 0.000 na
GHR-1 Ppgm24 5 193-205 3 0.121 -0.030 192-193 2 0.223 -0.122 193-195 2 0.156 -0.070
GHR-2 Ppgm25 3 327-333 3 0.492 -0.186 331-333 2 0.082 -0.022 327 1 0.000 na
GR1 Ppgm26 3 295-297 3 0.532 0.060 297 1 0.000 na 297 1 0.000 na
GTF2B Ppgm28 2 290 1 0.000 na 288-290 2 0.418 -0.394 290 1 0.000 na
HPX Ppgm29 13 126-169 10 0.746 0.163 137-157 3 0.586 0.289 155-158 2 0.504 0.090
HSP25 Ppgm30 4 159-177 4 0.605 0.243 159-175 2 0.478 -0.045 173 1 0.000 na
HSP47a Ppgm31 2 107-109 2 0.042 0.000 107 1 0.000 na 107 1 0.000 na
HSP70Aa Ppgm32 27 283-529 26 0.959 0.094 305-329 4 0.662 0.146 317-319 2 0.466 -0.163
HSP70B Ppgm35 6 324-348 6 0.416 -0.102 324-342 2 0.462 -0.533 324-342 2 0.283 -0.179
HSP90Ab Ppgm36 7 198-232 7 0.629 0.205 204-206 2 0.156 -0.070 204 1 0.000 na
HSP90B Ppgm37 7 244-271 6 0.728 0.085 232-259 3 0.429 -0.068 247 1 0.000 na
IGF-II Ppgm39 8 387-401 8 0.700 0.107 389-397 3 0.160 0.480 393-397 3 0.159 -0.051
Kir2.1a Ppgm40 8 293-327 8 0.713 -0.169 301-321 2 0.511 0.103 297-301 2 0.156 -0.070
Kir2.2 Ppgm42 6 289-299 6 0.578 -0.082 291-293 2 0.223 -0.122 289 1 0.000 na
MYHe Ppgm46 6 154-161 5 0.639 0.021 154-159 3 0.508 -0.148 159 1 0.000 na
NKCC1b Ppgm47 10 117-159 10 0.744 -0.065 119-159 3 0.629 0.171 123-125 2 0.042 0.000
NPY2Rb Ppgm48 25 406-471 19 0.918 0.001 423-475 6 0.793 0.002 469 1 0.000 na
PKMa Ppgm50 5 327-334 3 0.518 0.660 327-334 3 0.392 -0.062 327-329 3 0.159 -0.045
PVALBb Ppgm51 5 168-176 5 0.747 0.243 169-176 2 0.042 0.000 169 1 0.000 na
SHH Ppgm52 13 344-356 11 0.856 0.054 353-358 2 0.315 0.603 351-353 2 0.198 -0.100
SLC14 Ppgm53 3 230-240 3 0.121 -0.030 236 1 0.000 na 236 1 0.000 na
SSR1b Ppgm54 8 129-145 8 0.544 0.005 135-145 4 0.727 0.083 139 1 0.000 na
T1R3 Ppgm55 6 278-285 5 0.558 -0.195 281-286 2 0.082 -0.022 281 1 0.000 na
TAAR Ppgm56 9 123-141 8 0.614 0.050 123-139 4 0.659 0.305 127 1 0.000 na
TBX4 Ppgm57 3 278-292 3 0.318 -0.048 278-290 2 0.380 -0.314 290 1 0.000 na
TTP Ppgm58 3 317-321 3 0.291 0.140 317-321 2 0.283 -0.179 317 1 0.000 na
  1. A, number of observed alleles; HE, expected heterozygosity; na, not applied.