Error: For mixture model, you need to specify +F/+FO/+F{}/+FQ for every model
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Nanzhen
Mar 9, 2023, 2:08:37 AMMar 9
to IQ-TREE
Hey,
Does anyone know how to fix this problem?
I have been following the same protocol to build bacterial trees for a long time. I have no idea why it shows errors this time. Any help would be greatly appreciated!!
$ iqtree2 -s core_alignment.fasta -m TEST -alrt 1000 -bb 1000 -nt 8
IQ-TREE multicore version 2.2.0 COVID-edition for Linux 64-bit built Sep 1 2022
Developed by Bui Quang Minh, James Barbetti, Nguyen Lam Tung,
Olga Chernomor, Heiko Schmidt, Dominik Schrempf, Michael Woodhams, Ly Trong Nhan.
Host: gra705 (AVX2, FMA3, 125 GB RAM)
Command: core_alignment.fasta -m TEST -alrt 1000 -bb 1000 -nt 8
Seed: 867200 (Using SPRNG - Scalable Parallel Random Number Generator)
Time: Thu Mar 9 02:01:15 2023
Kernel: AVX+FMA - 8 threads (8 CPU cores detected)
Reading alignment file core_alignment.fasta ... Fasta format detected
Reading fasta file: done in 0.0719978 secs using 69.86% CPU
Alignment most likely contains protein sequences
Constructing alignment: done in 0.417143 secs using 49.7% CPU
Alignment has 11 sequences with 190956 columns, 75523 distinct patterns
70607 parsimony-informative, 51431 singleton sites, 68918 constant sites
Gap/Ambiguity Composition p-value
Analyzing sequences: done in 0.00726517 secs using 587.4% CPU
1 GCF_0014340 0.51% failed 0.00%
2 GCF_0014360 0.76% failed 0.00%
3 GCF_001436 0.30% failed 0.00%
4 GCF_00143 0.87% failed 0.00%
5 GCF_02338 0.84% failed 0.00%
6 GCF_02402 0.07% failed 0.00%
7 GCF_02402 0.02% failed 0.00%
8 GCF_02402 0.03% failed 0.00%
9 GCF_0241 0.11% failed 0.00%
10 GCF_02402 1.71% failed 0.00%
11 GCF_024 0.17% failed 0.00%
**** TOTAL 0.49% 11 sequences failed composition chi2 test (p-value<5%; df=19)
NOTE: minimal branch length is reduced to 0.000000523681 for long alignment
Checking for duplicate sequences: done in 0.00566472 secs using 438.3% CPU
NOTE: Restoring information from model checkpoint file core_alignment.fasta.model.gz
CHECKPOINT: Initial tree restored
ERROR: For mixture model, you need to specify +F/+FO/+F{}/+FQ for every model
ERROR: For example: MIX{GTR+FO,GTR+F}
IQ-TREE multicore version 2.2.0 COVID-edition for Linux 64-bit built Sep 1 2022
Developed by Bui Quang Minh, James Barbetti, Nguyen Lam Tung,
Olga Chernomor, Heiko Schmidt, Dominik Schrempf, Michael Woodhams, Ly Trong Nhan.
Host: gra705 (AVX2, FMA3, 125 GB RAM)
Command: core_alignment.fasta -m TEST -alrt 1000 -bb 1000 -nt 8
Seed: 867200 (Using SPRNG - Scalable Parallel Random Number Generator)
Time: Thu Mar 9 02:01:15 2023
Kernel: AVX+FMA - 8 threads (8 CPU cores detected)
Reading alignment file core_alignment.fasta ... Fasta format detected
Reading fasta file: done in 0.0719978 secs using 69.86% CPU
Alignment most likely contains protein sequences
Constructing alignment: done in 0.417143 secs using 49.7% CPU
Alignment has 11 sequences with 190956 columns, 75523 distinct patterns
70607 parsimony-informative, 51431 singleton sites, 68918 constant sites
Gap/Ambiguity Composition p-value
Analyzing sequences: done in 0.00726517 secs using 587.4% CPU
1 GCF_0014340 0.51% failed 0.00%
2 GCF_0014360 0.76% failed 0.00%
3 GCF_001436 0.30% failed 0.00%
4 GCF_00143 0.87% failed 0.00%
5 GCF_02338 0.84% failed 0.00%
6 GCF_02402 0.07% failed 0.00%
7 GCF_02402 0.02% failed 0.00%
8 GCF_02402 0.03% failed 0.00%
9 GCF_0241 0.11% failed 0.00%
10 GCF_02402 1.71% failed 0.00%
11 GCF_024 0.17% failed 0.00%
**** TOTAL 0.49% 11 sequences failed composition chi2 test (p-value<5%; df=19)
NOTE: minimal branch length is reduced to 0.000000523681 for long alignment
Checking for duplicate sequences: done in 0.00566472 secs using 438.3% CPU
NOTE: Restoring information from model checkpoint file core_alignment.fasta.model.gz
CHECKPOINT: Initial tree restored
ERROR: For mixture model, you need to specify +F/+FO/+F{}/+FQ for every model
ERROR: For example: MIX{GTR+FO,GTR+F}
Thanks!
Best,
Nanzhen
Thomas Wong
Mar 9, 2023, 5:29:00 AMMar 9
to iqt...@googlegroups.com
Hi,
Can you try the version v2.2.2.3 (from https://github.com/iqtree/iqtree2/releases) and see whether the issue still exists? Thanks.
Thomas
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Aniket Ghosh
Mar 9, 2023, 5:50:34 AMMar 9
to iqt...@googlegroups.com
Hi,
Now I have used version v2.2.2.3 . Still, I am facing problems.
IQ-TREE multicore version 2.2.2.3 COVID-edition for Windows 64-bit built Feb 25 2023
Developed by Bui Quang Minh, James Barbetti, Nguyen Lam Tung,
Olga Chernomor, Heiko Schmidt, Dominik Schrempf, Michael Woodhams, Ly Trong Nhan.
Host: DESKTOP-H8J1SD4 (AVX512, FMA3, 7 GB RAM)
Command: D:\Phylogeny _Software_AG\iqtree-2.2.2.3-Windows\iqtree-2.2.2.3-Windows\bin\iqtree2.exe -s Russula.fas -spp Partition.nex –m MF+MERGE -bb 1000
Seed: 937036 (Using SPRNG - Scalable Parallel Random Number Generator)
Time: Thu Mar 09 16:17:42 2023
Kernel: AVX+FMA - 1 threads (8 CPU cores detected)
HINT: Use -nt option to specify number of threads because your CPU has 8 cores!
HINT: -nt AUTO will automatically determine the best number of threads to use.
Reading partition model file Partition.nex ...
Reading alignment file Russula.fas ... Fasta format detected
Reading fasta file: done in 0.0024748 secs
Alignment most likely contains DNA/RNA sequences
Constructing alignment: done in 0.0042654 secs
Alignment has 58 sequences with 2191 columns, 705 distinct patterns
479 parsimony-informative, 89 singleton sites, 1622 constant sites
Gap/Ambiguity Composition p-value
Analyzing sequences: done in 9.49e-005 secs
1 Multifurca_aurantiophylla_644_BB_09_119_New_Caledonia 4.70% passed 49.18%
2 Multifurca_ochricompacta_580_BB_07_010_USA 4.70% passed 44.62%
3 Russula_shoreae_Holotype_India1 9.17% passed 43.32%
4 Russula_shoreae_India2 9.49% passed 47.79%
5 Russula_boddingii_Holotype_India1 5.20% passed 20.65%
6 Russula_boddingii_India2 5.57% passed 22.39%
7 Russula_pseudoflavida_Holotype_India1 6.62% failed 0.54%
8 Russula_pseudoflavida_India2 6.94% failed 0.43%
9 Russula_aurata_547_BB_07_211_Slovakia 7.71% failed 1.15%
10 Russula_luteotacta_452_BB_07_188_Europe 4.43% passed 23.18%
11 Russula_persicina_428_BB_07_271_Europe 5.66% passed 22.32%
12 Russula_gracillima_441_BB_07_785_Europe 4.88% passed 24.28%
13 Russula_densifolia_439_BB_07_344_Slovakia 5.39% passed 37.27%
14 Russula_fuliginosa_1178_M_Floriani_Italy 4.93% passed 16.36%
15 Russula_nigricans_429_BB_07_342_Slovakia 7.58% passed 32.57%
16 Russula_adusta_223_BB_06_562_Canada 10.09% passed 36.74%
17 Russula_acrifolia_543_BB_08_662_Italy 5.93% passed 32.63%
18 Russula_zvarae_538_BB_08_639_Europe 5.43% passed 22.57%
19 Russula_densifolia_RDL_16-001_2_Belgium 29.07% failed 3.70%
20 Russula_densifolia_RDL_18-052_Belgium 29.07% failed 3.70%
21 Russula_densifolia_RDL_17-024_Belgium 29.07% failed 3.70%
22 Russula_cf_fuliginosa_FH_RUS_14091001_Slovakia 29.07% failed 4.23%
23 Russula_fuliginosa_FH_RUS_14091201_Slovakia 29.07% failed 4.23%
24 Russula_atramentosa_FH_2011-002R_Belgium 29.07% passed 13.88%
25 Russula_atramentosa_FH0170824-02_Germany 29.07% passed 13.88%
26 Russula_dissimulans_BPL285_USA 30.76% passed 5.24%
27 Russula_nigricans_RDL_17-004_Belgium 30.53% failed 4.41%
28 Russula_albonigra_JK_RUS_13090603_Germany 29.21% failed 4.80%
29 Russula_albonigra_SAV_F-20197_Slovakia 29.16% failed 4.46%
30 Russula_nigrifacta_RDL_16-044_Italy 29.16% failed 3.72%
31 Russula_peckii_BPL270_USA 29.58% passed 42.26%
32 Russula_sardonia_FH12215_Germany 29.53% passed 7.13%
33 Russula_sanguinea_FH12240_Germany 29.71% failed 2.40%
34 Russula_queletii_FH12237_Germany 30.21% passed 15.78%
35 Russula_redolens_BPL260_USA 29.53% failed 4.91%
36 Russula_redolens_BPL141_USA 29.53% failed 4.46%
37 Russula_cyanoxantha_FH_12-201_Germany 30.40% failed 2.67%
38 Russula_cf_cyanoxantha_BPL280_USA 29.53% failed 3.12%
39 Russula_cf_variata_BPL241_USA 29.21% failed 1.49%
40 Russula_substriata_XHW4785_China 28.94% passed 7.05%
41 Russula_maguanensis_XHW4765_China 28.98% passed 19.53%
42 Russula_sp_GENT_FH_12-064_Thailand 54.72% failed 0.03%
43 Russula_wielangtae_HO_593332_Australia 56.32% failed 0.02%
44 Russula_velutipes_SAV_F-3428_Slovakia 48.43% failed 0.01%
45 Russula_wielangtae_HO_593331_Australia 77.91% failed 0.00%
46 Russula_densissima_FH_2014_ST04_Germany 70.74% passed 14.79%
47 Russula_densissima_FH_2010_ST02_Germany 70.74% passed 14.79%
48 Russula_subtilis_SAV_F-3805_USA 77.32% passed 59.96%
49 Russula_phloginea_CNX530524304_China 44.64% passed 23.22%
50 Russula_aurantioflava_LAH35410_Pakistan 55.64% failed 0.00%
51 Russula_aurantioflava_LAH35405_Pakistan 60.61% failed 0.00%
52 Russula_aurantioflava_LAH35408_Pakistan 54.91% failed 0.00%
53 Russula_ambusta_SAV_F-3358_Slovakia 58.42% passed 18.51%
54 Russula_cyanoxantha_UE29_09_2002-2_France 58.60% passed 21.42%
55 Russula_lotus_LF321_China 58.51% passed 15.49%
56 Russula_inquinata_JAC9757_New_Zealand 58.65% passed 21.90%
57 Russula_inquinata_JAC13249_New_Zealand 58.65% passed 25.28%
58 Russula_inquinata_JAC11697_New_Zealand 58.65% passed 24.90%
WARNING: 15 sequences contain more than 50% gaps/ambiguity
**** TOTAL 31.30% 25 sequences failed composition chi2 test (p-value<5%; df=3)
NOTE: No CharPartition defined, use all CharSets
Loading 5 partitions...
Identifying sites to remove: done in 0.0009624 secs
Identifying sites to remove: done in 0.000433 secs
Identifying sites to remove: done in 0.0003268 secs
Identifying sites to remove: done in 0.000237 secs
Identifying sites to remove: done in 0.0004619 secs
Subset Type Seqs Sites Infor Invar Model Name
1 51 945 166 750 part1
2 26 605 71 500 part2
3 47 214 34 169 part3
4 47 214 57 153 part4
5 47 213 151 51 part5
Degree of missing data: 0.260
Info: multi-threading strategy over partitions
NOTE: Russula_densifolia_RDL_18-052_Belgium is identical to Russula_densifolia_RDL_16-001_2_Belgium but kept for subsequent analysis
NOTE: Russula_fuliginosa_FH_RUS_14091201_Slovakia is identical to Russula_cf_fuliginosa_FH_RUS_14091001_Slovakia but kept for subsequent analysis
NOTE: Russula_atramentosa_FH0170824-02_Germany is identical to Russula_atramentosa_FH_2011-002R_Belgium but kept for subsequent analysis
NOTE: Russula_densissima_FH_2010_ST02_Germany is identical to Russula_densissima_FH_2014_ST04_Germany but kept for subsequent analysis
Identifying sites to remove: done in 0.0008692 secs
Identifying sites to remove: done in 0.000394 secs
Identifying sites to remove: done in 0.0001968 secs
Identifying sites to remove: done in 0.0002285 secs
Identifying sites to remove: done in 0.0004278 secs
NOTE: 1 identical sequences (see below) will be ignored for subsequent analysis
NOTE: Russula_densifolia_RDL_17-024_Belgium (identical to Russula_densifolia_RDL_16-001_2_Belgium) is ignored but added at the end
Alignment was printed to Partition.nex.uniqueseq.phy
For your convenience alignment with unique sequences printed to Partition.nex.uniqueseq.phy
Reading input tree file –m ...ERROR:
ERROR: *** IQ-TREE CRASHES WITH SIGNAL ABORTED
ERROR: *** For bug report please send to developers:
ERROR: *** Log file: Partition.nex.log
ERROR: *** Alignment files (if possible)
Command: D:\Phylogeny _Software_AG\iqtree-2.2.2.3-Windows\iqtree-2.2.2.3-Windows\bin\iqtree2.exe -s Russula.fas -spp Partition.nex –m MF+MERGE -bb 1000
Seed: 937036 (Using SPRNG - Scalable Parallel Random Number Generator)
Time: Thu Mar 09 16:17:42 2023
Kernel: AVX+FMA - 1 threads (8 CPU cores detected)
HINT: Use -nt option to specify number of threads because your CPU has 8 cores!
HINT: -nt AUTO will automatically determine the best number of threads to use.
Reading partition model file Partition.nex ...
Reading alignment file Russula.fas ... Fasta format detected
Reading fasta file: done in 0.0024748 secs
Alignment most likely contains DNA/RNA sequences
Constructing alignment: done in 0.0042654 secs
Alignment has 58 sequences with 2191 columns, 705 distinct patterns
479 parsimony-informative, 89 singleton sites, 1622 constant sites
Gap/Ambiguity Composition p-value
Analyzing sequences: done in 9.49e-005 secs
1 Multifurca_aurantiophylla_644_BB_09_119_New_Caledonia 4.70% passed 49.18%
2 Multifurca_ochricompacta_580_BB_07_010_USA 4.70% passed 44.62%
3 Russula_shoreae_Holotype_India1 9.17% passed 43.32%
4 Russula_shoreae_India2 9.49% passed 47.79%
5 Russula_boddingii_Holotype_India1 5.20% passed 20.65%
6 Russula_boddingii_India2 5.57% passed 22.39%
7 Russula_pseudoflavida_Holotype_India1 6.62% failed 0.54%
8 Russula_pseudoflavida_India2 6.94% failed 0.43%
9 Russula_aurata_547_BB_07_211_Slovakia 7.71% failed 1.15%
10 Russula_luteotacta_452_BB_07_188_Europe 4.43% passed 23.18%
11 Russula_persicina_428_BB_07_271_Europe 5.66% passed 22.32%
12 Russula_gracillima_441_BB_07_785_Europe 4.88% passed 24.28%
13 Russula_densifolia_439_BB_07_344_Slovakia 5.39% passed 37.27%
14 Russula_fuliginosa_1178_M_Floriani_Italy 4.93% passed 16.36%
15 Russula_nigricans_429_BB_07_342_Slovakia 7.58% passed 32.57%
16 Russula_adusta_223_BB_06_562_Canada 10.09% passed 36.74%
17 Russula_acrifolia_543_BB_08_662_Italy 5.93% passed 32.63%
18 Russula_zvarae_538_BB_08_639_Europe 5.43% passed 22.57%
19 Russula_densifolia_RDL_16-001_2_Belgium 29.07% failed 3.70%
20 Russula_densifolia_RDL_18-052_Belgium 29.07% failed 3.70%
21 Russula_densifolia_RDL_17-024_Belgium 29.07% failed 3.70%
22 Russula_cf_fuliginosa_FH_RUS_14091001_Slovakia 29.07% failed 4.23%
23 Russula_fuliginosa_FH_RUS_14091201_Slovakia 29.07% failed 4.23%
24 Russula_atramentosa_FH_2011-002R_Belgium 29.07% passed 13.88%
25 Russula_atramentosa_FH0170824-02_Germany 29.07% passed 13.88%
26 Russula_dissimulans_BPL285_USA 30.76% passed 5.24%
27 Russula_nigricans_RDL_17-004_Belgium 30.53% failed 4.41%
28 Russula_albonigra_JK_RUS_13090603_Germany 29.21% failed 4.80%
29 Russula_albonigra_SAV_F-20197_Slovakia 29.16% failed 4.46%
30 Russula_nigrifacta_RDL_16-044_Italy 29.16% failed 3.72%
31 Russula_peckii_BPL270_USA 29.58% passed 42.26%
32 Russula_sardonia_FH12215_Germany 29.53% passed 7.13%
33 Russula_sanguinea_FH12240_Germany 29.71% failed 2.40%
34 Russula_queletii_FH12237_Germany 30.21% passed 15.78%
35 Russula_redolens_BPL260_USA 29.53% failed 4.91%
36 Russula_redolens_BPL141_USA 29.53% failed 4.46%
37 Russula_cyanoxantha_FH_12-201_Germany 30.40% failed 2.67%
38 Russula_cf_cyanoxantha_BPL280_USA 29.53% failed 3.12%
39 Russula_cf_variata_BPL241_USA 29.21% failed 1.49%
40 Russula_substriata_XHW4785_China 28.94% passed 7.05%
41 Russula_maguanensis_XHW4765_China 28.98% passed 19.53%
42 Russula_sp_GENT_FH_12-064_Thailand 54.72% failed 0.03%
43 Russula_wielangtae_HO_593332_Australia 56.32% failed 0.02%
44 Russula_velutipes_SAV_F-3428_Slovakia 48.43% failed 0.01%
45 Russula_wielangtae_HO_593331_Australia 77.91% failed 0.00%
46 Russula_densissima_FH_2014_ST04_Germany 70.74% passed 14.79%
47 Russula_densissima_FH_2010_ST02_Germany 70.74% passed 14.79%
48 Russula_subtilis_SAV_F-3805_USA 77.32% passed 59.96%
49 Russula_phloginea_CNX530524304_China 44.64% passed 23.22%
50 Russula_aurantioflava_LAH35410_Pakistan 55.64% failed 0.00%
51 Russula_aurantioflava_LAH35405_Pakistan 60.61% failed 0.00%
52 Russula_aurantioflava_LAH35408_Pakistan 54.91% failed 0.00%
53 Russula_ambusta_SAV_F-3358_Slovakia 58.42% passed 18.51%
54 Russula_cyanoxantha_UE29_09_2002-2_France 58.60% passed 21.42%
55 Russula_lotus_LF321_China 58.51% passed 15.49%
56 Russula_inquinata_JAC9757_New_Zealand 58.65% passed 21.90%
57 Russula_inquinata_JAC13249_New_Zealand 58.65% passed 25.28%
58 Russula_inquinata_JAC11697_New_Zealand 58.65% passed 24.90%
WARNING: 15 sequences contain more than 50% gaps/ambiguity
**** TOTAL 31.30% 25 sequences failed composition chi2 test (p-value<5%; df=3)
NOTE: No CharPartition defined, use all CharSets
Loading 5 partitions...
Identifying sites to remove: done in 0.0009624 secs
Identifying sites to remove: done in 0.000433 secs
Identifying sites to remove: done in 0.0003268 secs
Identifying sites to remove: done in 0.000237 secs
Identifying sites to remove: done in 0.0004619 secs
Subset Type Seqs Sites Infor Invar Model Name
1 51 945 166 750 part1
2 26 605 71 500 part2
3 47 214 34 169 part3
4 47 214 57 153 part4
5 47 213 151 51 part5
Degree of missing data: 0.260
Info: multi-threading strategy over partitions
NOTE: Russula_densifolia_RDL_18-052_Belgium is identical to Russula_densifolia_RDL_16-001_2_Belgium but kept for subsequent analysis
NOTE: Russula_fuliginosa_FH_RUS_14091201_Slovakia is identical to Russula_cf_fuliginosa_FH_RUS_14091001_Slovakia but kept for subsequent analysis
NOTE: Russula_atramentosa_FH0170824-02_Germany is identical to Russula_atramentosa_FH_2011-002R_Belgium but kept for subsequent analysis
NOTE: Russula_densissima_FH_2010_ST02_Germany is identical to Russula_densissima_FH_2014_ST04_Germany but kept for subsequent analysis
Identifying sites to remove: done in 0.0008692 secs
Identifying sites to remove: done in 0.000394 secs
Identifying sites to remove: done in 0.0001968 secs
Identifying sites to remove: done in 0.0002285 secs
Identifying sites to remove: done in 0.0004278 secs
NOTE: 1 identical sequences (see below) will be ignored for subsequent analysis
NOTE: Russula_densifolia_RDL_17-024_Belgium (identical to Russula_densifolia_RDL_16-001_2_Belgium) is ignored but added at the end
Alignment was printed to Partition.nex.uniqueseq.phy
For your convenience alignment with unique sequences printed to Partition.nex.uniqueseq.phy
Reading input tree file –m ...ERROR:
ERROR: *** IQ-TREE CRASHES WITH SIGNAL ABORTED
ERROR: *** For bug report please send to developers:
ERROR: *** Log file: Partition.nex.log
ERROR: *** Alignment files (if possible)
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Sender notified by Mailtrack | 09/03/23, 16:20:16 |
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Thomas Wong
Mar 9, 2023, 6:23:39 AMMar 9
to iqt...@googlegroups.com
Hi,
Because you would like to do bootstrapping, you should use "MFP" instead of "MF".
MFP: "Find best partition scheme followed by tree inference and bootstrap"
That means your syntax should be: iqtree2.exe -s Russula.fas -spp Partition.nex –m MFP+MERGE -bb 1000
Thomas
To view this discussion on the web visit https://groups.google.com/d/msgid/iqtree/CAFXtBMm535zBxzVw_p-6QpGS6Q2Umufog0sdm8eWrS61CJF%2Baw%40mail.gmail.com.
Thomas Wong
Mar 9, 2023, 6:43:29 AMMar 9
to iqt...@googlegroups.com
Hi Aniket,
By the way, when I copied and pasted your command, it didn't work.
However, it worked when I typed the command again (exactly, but
changed to MF to MFP). I guess there were some hidden characters.
Thomas
Aniket Ghosh
Mar 9, 2023, 8:29:04 AMMar 9
to iqt...@googlegroups.com
Hi Thomas,
Thank you very much for your suggestion. Now It works smoothly.
Regards,
Aniket
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Fabian Ruperti
May 10, 2023, 9:57:07 AMMay 10
to IQ-TREE
Hey everyone,
I am facing a similar problem using IQ-TREE multicore version 2.2.0.
With the following command, I get the following error:
iqtree2 -s MYLK_domains_MSA.fa -m MFP -B 1000 -alrt 1000 -abayes -nt AUTO
ERROR: For mixture model, you need to specify +F/+FO/+F{}/+FQ for every model
ERROR: For example: MIX{GTR+FO,GTR+F}
ERROR: For example: MIX{GTR+FO,GTR+F}
There are not hidden characters, etc. At least non that I can find.
Thanks already for any help.
Regards,
Fabian
Thomas Wong
May 10, 2023, 7:35:26 PMMay 10
to iqt...@googlegroups.com, Fabian Ruperti
Hi Fabian,
The issue should have been addressed in the later version. Can you try the latest version, say v2.2.2.5, at https://github.com/iqtree/iqtree2/releases ?
Thomas
To view this discussion on the web visit https://groups.google.com/d/msgid/iqtree/65ab21eb-c2d5-4802-9b20-034bb17f53f6n%40googlegroups.com.
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