Geoduck RRBS Library Prep - part 2

Prepping remaining 76 RRBS libraries for geoduck juvenile OA acclimatization study.

20161206

Chose remaining 76 samples from 88 sample set for full timepoint coverage of geoduck ocean acidification study.100ng was used as the starting amount of DNA for each sample and the volume of water in each reaction was adjusted as necessary. 0.5% unmethylated lambda DNA was spiked in (w/w DNA) to determine conversion efficiency by estimating the error rate at which a C count occurs at an unmethylated C position.

Step 1 MSPI DNA Cutting

MSPI restriction endonuclease in NEBuffer2

  • MspI - 25,000U (NEB cat: R0106L)
  • NEBuffer2 10x (NEB cat: B7002S)

Reaction Mix

  • Samples were mixed as follows to a total reaction volume of 30µl. Samples were incubated at 37°C starting at 15:00
  • Lambda DNA (581ng/µl) was diluted 1:1160 for a concentration of 0.5ng/µl and 1µl added to each sample
  • Unmethylated lamda phage DNA (Promega cat: D1501)

    • 3µl NEBuffer2
    • 1µl MSPI 20U/µl
    • 16µl DNA (100ng)
    • 10µl of H20
    • 30µl total
Date EPI.Tube.Num Tank Treatment TimePoint Homogenization DNA.Extraction DNA.QC DNA.Conc.ng.µl DNA.vol.µl DNA.amount.µg vol for 100ng lambda.0.5% Water.µl NSBuffer2.µl MSPI.µl
16-Mar-16 EPI_41 Time0 Field Day0 20160912 20161025 20161026 13.6 140 1.904 7.4 1 17.6 3 1
16-Mar-16 EPI_42 Time0 Field Day0 20160912 20161028 20161028 79 140 11.06 1.3 1 23.7 3 1
16-Mar-16 EPI_43 Time0 Field Day0 20160912 20161025 20161026 17.2 140 2.408 5.8 1 19.2 3 1
16-Mar-16 EPI_44 Time0 Field Day0 20160912 20161025 20161026 14.8 140 2.072 6.8 1 18.2 3 1
17-Mar-16 EPI_45 Tank11 Low Day1 20160912 20161028 20161028 43.1 140 6.034 2.3 1 22.7 3 1
17-Mar-16 EPI_46 Tank11 Low Day1 20160912 20161028 20161028 21.2 140 2.968 4.7 1 20.3 3 1
17-Mar-16 EPI_47 Tank12 Super.Low Day1 20160912 20161028 20161028 57.6 140 8.064 1.7 1 23.3 3 1
17-Mar-16 EPI_48 Tank12 Super.Low Day1 20160912 20161028 20161028 12.6 140 1.764 7.9 1 17.1 3 1
17-Mar-16 EPI_49 Tank13 Ambient Day1 20160912 20161025 20161026 63.4 140 8.876 1.6 1 23.4 3 1
17-Mar-16 EPI_50 Tank13 Ambient Day1 20160912 20161028 20161028 8.21 140 1.1494 12.2 1 12.8 3 1
17-Mar-16 EPI_51 Tank14 Low Day1 20160912 20161025 20161026 14.6 140 2.044 6.8 1 18.2 3 1
17-Mar-16 EPI_52 Tank14 Low Day1 20160912 20161025 20161026 9.82 140 1.3748 10.2 1 14.8 3 1
17-Mar-16 EPI_53 Tank15 Ambient Day1 20160912 20161025 20161026 27.4 140 3.836 3.6 1 21.4 3 1
17-Mar-16 EPI_54 Tank15 Ambient Day1 20160912 20161025 20161026 15 140 2.1 6.7 1 18.3 3 1
17-Mar-16 EPI_55 Tank16 Super.Low Day1 20160912 20161025 20161026 12.4 140 1.736 8.1 1 16.9 3 1
17-Mar-16 EPI_56 Tank16 Super.Low Day1 20160912 20161025 20161026 21.4 140 2.996 4.7 1 20.3 3 1
29-Jul-16 EPI_151 Ambient Ambient Day135 20160909 20161004 20161006 11.8 140 1.652 8.5 1 16.5 3 1
29-Jul-16 EPI_152 Ambient Ambient Day135 20160909 20161004 20161006 16.8 140 2.352 6 1 19 3 1
29-Jul-16 EPI_153 Ambient Ambient Day135 20160909 20161025 20161026 22.4 140 3.136 4.5 1 20.5 3 1
29-Jul-16 EPI_154 Ambient Ambient Day135 20160909 20161025 20161026 19.5 140 2.73 5.1 1 19.9 3 1
29-Jul-16 EPI_159 Low Low Day135 20160909 20161004 20161006 21.4 140 2.996 4.7 1 20.3 3 1
29-Jul-16 EPI_160 Low Low Day135 20160909 20161004 20161006 10.8 140 1.512 9.3 1 15.7 3 1
29-Jul-16 EPI_161 Low Low Day135 20160909 20161028 20161028 24.9 140 3.486 4 1 21 3 1
29-Jul-16 EPI_162 Low Low Day135 20160909 20161007 20161010 12.5 140 1.75 8 1 17 3 1
29-Jul-16 EPI_167 Super.Low Super.Low Day135 20160908 20160930 Pass 13.2 190 2.508 7.6 1 17.4 3 1
29-Jul-16 EPI_168 Super.Low Super.Low Day135 20160908 20160930 Pass 6.18 190 1.1742 16.2 1 8.8 3 1
29-Jul-16 EPI_169 Super.Low Super.Low Day135 20160908 20161007 20161010 14.8 140 2.072 6.8 1 18.2 3 1
29-Jul-16 EPI_170 Super.Low Super.Low Day135 20160908 20161007 20161010 11.2 140 1.568 8.9 1 16.1 3 1
8-Aug-16 EPI_175 Bin1 Low-Ambient Day145 20160908 20160930 Pass 19.6 190 3.724 5.1 1 19.9 3 1
8-Aug-16 EPI_176 Bin1 Low-Ambient Day145 20160908 20160930 Pass 7.84 190 1.4896 12.8 1 12.2 3 1
8-Aug-16 EPI_181 Bin2 Ambient-Ambient Day145 20160908 20161004 20161006 40.8 140 5.712 2.5 1 22.5 3 1
8-Aug-16 EPI_182 Bin2 Ambient-Ambient Day145 20160908 20161004 20161006 20.8 140 2.912 4.8 1 20.2 3 1
8-Aug-16 EPI_184 Bin3 Ambient-Ambient Day145 20160908 20161007 20161010 7.46 140 1.0444 13.4 1 11.6 3 1
8-Aug-16 EPI_185 Bin3 Ambient-Ambient Day145 20160907 20161007 20161010 18.6 140 2.604 5.4 1 19.6 3 1
8-Aug-16 EPI_187 Bin4 Super.Low-Ambient Day145 20160907 20160930 Pass 17.1 190 3.249 5.8 1 19.2 3 1
8-Aug-16 EPI_188 Bin4 Super.Low-Ambient Day145 20160907 20160930 Pass 14.5 190 2.755 6.9 1 18.1 3 1
8-Aug-16 EPI_193 Bin5 Low-Ambient Day145 20160907 20161004 20161006 9.26 140 1.2964 10.8 1 14.2 3 1
8-Aug-16 EPI_194 Bin5 Low-Ambient Day145 20160907 20161004 20161006 11.7 140 1.638 8.5 1 16.5 3 1
8-Aug-16 EPI_199 Bin6 Super.Low-Ambient Day145 20160907 20161004 20161006 21.8 140 3.052 4.6 1 20.4 3 1
8-Aug-16 EPI_200 Bin6 Super.Low-Ambient Day145 20160907 20161004 20161006 21.2 140 2.968 4.7 1 20.3 3 1
8-Aug-16 EPI_205 Bin7 Ambient-Low Day145 20160907 20160930 Pass 11.9 190 2.261 8.4 1 16.6 3 1
8-Aug-16 EPI_206 Bin7 Ambient-Low Day145 20160906 20160930 Pass 18.1 190 3.439 5.5 1 19.5 3 1
8-Aug-16 EPI_208 Bin8 Low-Low Day145 20160906 20161007 20161010 31 140 4.34 3.2 1 21.8 3 1
8-Aug-16 EPI_209 Bin8 Low-Low Day145 20160906 20161007 20161010 22 140 3.08 4.5 1 20.5 3 1
8-Aug-16 EPI_214 Bin9 Super.Low-Low Day145 20160906 20161004 20161006 13.3 140 1.862 7.5 1 17.5 3 1
8-Aug-16 EPI_215 Bin9 Super.Low-Low Day145 20160906 20161004 20161006 22.6 140 3.164 4.4 1 20.6 3 1
8-Aug-16 EPI_220 Bin10 Super.Low-Low Day145 20160906 20160930 Pass 48.8 190 9.272 2 1 23 3 1
8-Aug-16 EPI_221 Bin10 Super.Low-Low Day145 20160906 20160930 Pass 30 190 5.7 3.3 1 21.7 3 1
8-Aug-16 EPI_226 Bin11 Ambient-Low Day145 20160902 20161007 20161010 13.1 140 1.834 7.6 1 17.4 3 1
8-Aug-16 EPI_227 Bin11 Ambient-Low Day145 20160902 20161007 20161010 31.6 140 4.424 3.2 1 21.8 3 1
8-Aug-16 EPI_229 Bin12 Low-Low Day145 20160902 20160930 Pass 17.4 190 3.306 5.7 1 19.3 3 1
8-Aug-16 EPI_230 Bin12 Low-Low Day145 20160902 20160930 Pass 10.1 190 1.919 9.9 1 15.1 3 1
21-Aug-16 EPI_235 Bin1 Low-Ambient Day158 20160902 20161004 20161006 10.6 140 1.484 9.4 1 15.6 3 1
21-Aug-16 EPI_236 Bin1 Low-Ambient Day158 20160902 20161004 20161006 8.66 140 1.2124 11.5 1 13.5 3 1
21-Aug-16 EPI_242 Bin2 Ambient-Ambient Day158 20160902 20161028 20161028 15.5 140 2.17 6.5 1 18.5 3 1
21-Aug-16 EPI_243 Bin2 Ambient-Ambient Day158 20160902 20161028 20161028 17.2 140 2.408 5.8 1 19.2 3 1
21-Aug-16 EPI_246 Bin3 Ambient-Ambient Day158 20160902 20161025 20161026 19.4 140 2.716 5.2 1 19.8 3 1
21-Aug-16 EPI_247 Bin3 Ambient-Ambient Day158 20160902 20161028 20161028 8.23 140 1.1522 12.2 1 12.8 3 1
21-Aug-16 EPI_250 Bin4 Super.Low-Ambient Day158 20160901 20161025 20161026 28.2 140 3.948 3.5 1 21.5 3 1
21-Aug-16 EPI_251 Bin4 Super.Low-Ambient Day158 20160901 20161025 20161026 16 140 2.24 6.3 1 18.7 3 1
21-Aug-16 EPI_257 Bin5 Low-Ambient Day158 20160901 20161004 20161006 15.4 140 2.156 6.5 1 18.5 3 1
21-Aug-16 EPI_258 Bin5 Low-Ambient Day158 20160901 20161028 20161028 18.8 140 2.632 5.3 1 19.7 3 1
21-Aug-16 EPI_264 Bin6 Super.Low-Ambient Day158 20160901 20161025 20161026 8.42 140 1.1788 11.9 1 13.1 3 1
21-Aug-16 EPI_265 Bin6 Super.Low-Ambient Day158 20160901 20161025 20161026 17.5 140 2.45 5.7 1 19.3 3 1
21-Aug-16 EPI_271 Bin7 Ambient-Low Day158 20160901 20161028 20161028 39.1 140 5.474 2.6 1 22.4 3 1
21-Aug-16 EPI_272 Bin7 Ambient-Low Day158 20160901 20161028 20161028 105 140 14.7 1 1 24 3 1
21-Aug-16 EPI_275 Bin8 Low-Low Day158 20160825 20161025 20161026 15 140 2.1 6.7 1 18.3 3 1
21-Aug-16 EPI_276 Bin8 Low-Low Day158 20160824 20161025 20161026 21 140 2.94 4.8 1 20.2 3 1
21-Aug-16 EPI_282 Bin9 Super.Low-Low Day158 20160824 20161004 20161006 10.3 140 1.442 9.7 1 15.3 3 1
21-Aug-16 EPI_283 Bin9 Super.Low-Low Day158 20160824 20161028 20161028 36.6 140 0.77 2.7 1 22.3 3 1
21-Aug-16 EPI_289 Bin10 Super.Low-Low Day158 20160824 20161025 20161026 13.4 140 1.876 7.5 1 17.5 3 1
21-Aug-16 EPI_290 Bin10 Super.Low-Low Day158 20160824 20161025 20161026 7.4 140 1.036 13.5 1 11.5 3 1
21-Aug-16 EPI_298 Bin11 Ambient-Low Day158 20160824 20161028 20161028 79.9 140 11.186 1.3 1 23.7 3 1
21-Aug-16 EPI_299 Bin11 Ambient-Low Day158 20160824 20161007 20161010 17.6 140 2.464 5.7 1 19.3 3 1
21-Aug-16 EPI_302 Bin12 Low-Low Day158 20160824 20161004 20161006 32.8 140 4.592 3 1 22 3 1
21-Aug-16 EPI_303 Bin12 Low-Low Day158 20160824 20161004 20161006 32.4 140 4.536 3.1 1 21.9 3 1

Step 1 conclusions

  • no errors were seen on the PCR machine. Samples assumed to have been cut with MSPI

Step 2 Bisulfite conversion

Bisulfite conversion kit prep

  • Prepared the CT Conversion Reagent for larger DNA samples (30µl) by adding 800µl of water, 300µl of M-Dilution and 50µl of M-Dissolving

  • Added 30µl of sample described in table to 120 µl of CT Conversion Reagent, mixed by flicking, and spun down
  • Placed tubes in PCR machine at 10:45 and set as follows:
    • 98°C for 10 min
    • 64°C for 2.5 hours
    • 4°C forever
  • followed protocol steps EZ DNA Methylation-Gold Manual

  • Eluted in 12µl of elution buffer

Bisulfite Conversion ssDNA QC

  • 1µl was used to assess fragment size on the bioanalyzer.

Expected DNA size for Gold kit (A)

Expected DNA size

Results of bisulfite converted samples

20161209

chip1

  • Samples all look good except EPI-44. Will run again

chip2

  • Samples 52, 53, 54, 55, 56 are as expected, samples 151, 152, 153, 154, 159, 160 are shifted to a larger proportion of smaller fragments

chip3

  • Samples are shifted to a larger proportion of smaller fragments

20161211

chip4

  • Samples 185, 188, 193, 200, 205, 206, 208, and 209 are shifted to a larger proportion of smaller fragments

chip5

  • Samples 214, 229, 230, 235, 236, 242 are shifted to a larger proportion of smaller fragments

chip6

  • Samples 243, 246, 247, 250, 251, 258, 264, 265, and 272 are shifted to a larger proportion of smaller fragments

chip7

  • Sample 275 has abnormal peak around 3000
  • Sample 44 was re-reun and still has strange very small fragment size
  • Samples 275, 276, 282, 283, 298 are shifted to a larger proportion of smaller fragments

20161213

Step 3 Library Prep

Ilumina TruSeq DNA Methylation Library Preparation Guide

Illumina Adapter Sequences Document # 1000000002694 v01 17 February 2016 TruSeq DNA Methylation Index PCR Primers 5’ CAAGCAGAAGACGGCATACGAGAT[6 bases]GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT

  • Index 1: ATCACG
  • Index 2: CGATGT
  • Index 3: TTAGGC
  • Index 4: TGACCA
  • Index 5: ACAGTG
  • Index 6: GCCAAT
  • Index 7: CAGATC
  • Index 8: ACTTGA
  • Index 9: GATCAG
  • Index 10: TAGCTT
  • Index 11: GGCTAC
  • Index 12: CTTGTA

Illumina library prep was completed according to manufacturer’s instructions with modifications as described in red text on the protocol and listed below.

  • samples eluted in 12µl post BS conversion
  • 200µl of 80% ethanol used for rinsing beads
  • Samples were stored at -20 for ~24h between Purify the Tagged DNA and Amplify the Library and Add an Index steps
  • Library prep was started 20161213
  • Library prep was finished 20161213
  • Individual barcodes were used for each sample from the Illumina TruSeq DNA Methylation Index PCR Primers (10 reactions, 12 indexes Cat #: EGIDX81312)
Sample.ID Index.Number Index.Sequence
EPI_151 1 ATCACG
EPI_152 2 CGATGT
EPI_153 3 TTAGGC
EPI_154 4 TGACCA
EPI_159 5 ACAGTG
EPI_160 6 GCCAAT
EPI_161 7 CAGATC
EPI_162 8 ACTTGA
EPI_167 9 GATCAG
EPI_168 10 TAGCTT
EPI_169 11 GGCTAC
EPI_170 12 CTTGTA
EPI_175 1 ATCACG
EPI_176 2 CGATGT
EPI_181 3 TTAGGC
EPI_182 4 TGACCA
EPI_184 5 ACAGTG
EPI_185 6 GCCAAT
EPI_187 7 CAGATC
EPI_188 8 ACTTGA
EPI_193 9 GATCAG
EPI_194 10 TAGCTT
EPI_199 11 GGCTAC
EPI_200 12 CTTGTA
EPI_205 1 ATCACG
EPI_206 2 CGATGT
EPI_208 3 TTAGGC
EPI_209 4 TGACCA
EPI_214 5 ACAGTG
EPI_215 6 GCCAAT
EPI_220 7 CAGATC
EPI_221 8 ACTTGA
EPI_226 9 GATCAG
EPI_227 10 TAGCTT
EPI_229 11 GGCTAC
EPI_230 12 CTTGTA
EPI_41 1 ATCACG
EPI_42 2 CGATGT
EPI_43 4 TGACCA

Library Quantification

20161213 Libraries were quantified on the Qubit using the dsDNA High Sensitivity Kit

  • Samples were loaded 1µl of library + 199µl of Qubit dye/buffer mix (1:200)
  • Standards were loaded 10µl of standard + 190µl of Qubit dye/buffer mix (1:200)

  • Illumina indicates samples should be >3ng/µl
Sample.ID ng/µl
EPI_151 0.242
EPI_152 0.486
EPI_153 0.580
EPI_154 0.320
EPI_159 0.356
EPI_160 0.210
EPI_161 0.226
EPI_162 0.930
EPI_167 0.808
EPI_168 0.880
EPI_169 0.500
EPI_170 0.866
EPI_175 0.552
EPI_176 0.676
EPI_181 1.18
EPI_182 0.902
EPI_184 0.956
EPI_185 0.972
EPI_187 0.976
EPI_188 1.05
EPI_193 1.74
EPI_194 0.518
EPI_199 0.464
EPI_200 0.664
EPI_205 0.312
EPI_206 0.270
EPI_208 0.408
EPI_209 0.114
EPI_214 0.350
EPI_215 1.192
EPI_220 0.888
EPI_221 0.492
EPI_226 1.71
EPI_227 0.796
EPI_229 0.808
EPI_230 0.642
EPI_41 0.314
EPI_42 0.740
EPI_43 0.252
  • Library concentration is significantly lower than expected in the majority of the samples

Library Quality

20161214

  • 1.0µl of each sample was run on the Agilent DNA High Sensitivity Kit

Illumina DNA Methylation kit expected library size on high sensitivity chip expected size

RRBS Chip 1 Data

RRBS Chip 1 Data

Conclusions

  • Library quality is shifted to a smaller size in libraries that are detectable.
  • Given the low concentraiton and poor traces, no further chips were run and the library preps need to be redone.
Written on December 9, 2016