Hi there,
I am using QIIME to identify sequences found in eDNA. Occasionally I get features that are identified as species that are highly unlikely to be found in the eDNA sample (e.g. a Japanese saltwater fish found in an Alabama freshwater pond). I'd like to check the raw sequence data of these identified features using BLAST to see if they might be complete matches with other, more plausible species.
Is there an easy way to do that? I notice that the FeatureTable and Taxonomy Table outputs only include feature IDs or OTU IDs rather than the raw sequence.
Here's an example of my pipeline:
qiime tools import --type 'SampleData[SequencesWithQuality]' --input-path manifest-file.txt --input-format SingleEndFastqManifestPhred33V2 --output-path demux-co1-r1.qza
qiime dada2 denoise-single \
--i-demultiplexed-seqs demux-co1-r1.qza \
--p-trim-left 20 \
--p-trunc-len 115 \
--o-representative-sequences rep-seqs-r1-115.qza \
--o-table table-r2-115.qza \
--o-denoising-stats denoise-stats-r2-115.qza
qiime rescript evaluate-fit-classifier --i-sequences coi-mussels-filtered-seqs.qza --i-taxonomy coi-mussels-taxonomy-unfiltered.qza --o-classifier coi-mussels-classifier.qza --o-evaluation coi-mussels-classifier-evaluation.qzv --o-observed-taxonomy coi-mussels-classifier-predicted-taxonomy.qza --verbose
qiime feature-classifier classify-sklearn \
--i-classifier ../coi-mussels-classifier.qza \
--i-reads rep-seqs-r1-115.qza \
--o-classification coi-r1-mussels-classified-taxonomy.qza
qiime metadata tabulate \
--m-input-file coi-r1-mussels-classified-taxonomy.qza \
--o-visualization coi-r1-mussels-classified-taxonomy.qzv
Thanks for your help.
-Alex