ID Mismatch when running core-metrics

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2

I think I'd better to fully introduce my condition.

My data are PGM data. detailed information is here Demultiplex joined reads sequences

then my work route is as follow:

  • download and setup qiime1 as tutorial

  • validate mapping file “sample-mapping.txt”

  • demux and quality control the "full-files" (not the pr-file because little sequence pass the filter)
    split_libraries.py -m sample-mapping.txt -f full.fasta -q full.qual -b 8 -o split_library_output”

  • construct unrooted tree with code “
    pick_de_novo_otus.py -i split_library_output/seqs.fna -o otus"

  • enter q2:

  • import data

import sequences
qiime tools import \

--input-path seqs.fna \

--output-path seqs.qza \

--type 'SampleData[Sequences]’

import FeatureTable

qiime vsearch dereplicate-sequences

--i-sequences seqs.qza \

--o-dereplicated-table table.qza \

--o-dereplicated-sequences rep-seqs.qza

import unrooted tree (phylogenetic tree)

qiime tools import \

--input-path unrooted-tree.tre \

--output-path unrooted-tree.qza \

--type 'Phylogeny[Unrooted]'

unrooted to rooted

qiime phylogeny midpoint-root \

--i-tree unrooted-tree.qza \

--o-rooted-tree rooted-tree.qza

#generate core metrics: sampling depth could vary. Here 50000 was chosen since the least counts are 6XXX, 3XXXX, 6XXXX, 7xxxx, and chinese version tutorial indicates that usually 30000/50000 are suitable depth.

#generate core metrics

qiime diversity core-metrics-phylogenetic --i-phylogeny rooted-tree.qza --i-table table.qza --p-sampling-depth 50000 --m-metadata-file sample-metadata.txt --output-dir core-metrics-results

Did I do any thing wrong?