THAPBI PICT—a fast, cautious, and accurate metabarcoding analysis pipeline
THAPBI PICT is an open source software pipeline for metabarcoding analysis of Illumina paired-end reads, including cases of multiplexing where more than one amplicon is amplified per DNA sample. Initially a Phytophthora ITS1 Classification Tool (PICT), we demonstrate using worked examples with our o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2023-08-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/15648.pdf |
| _version_ | 1797422034755518464 |
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| author | Peter J. A. Cock David E. L. Cooke Peter Thorpe Leighton Pritchard |
| author_facet | Peter J. A. Cock David E. L. Cooke Peter Thorpe Leighton Pritchard |
| author_sort | Peter J. A. Cock |
| collection | DOAJ |
| description | THAPBI PICT is an open source software pipeline for metabarcoding analysis of Illumina paired-end reads, including cases of multiplexing where more than one amplicon is amplified per DNA sample. Initially a Phytophthora ITS1 Classification Tool (PICT), we demonstrate using worked examples with our own and public data sets how, with appropriate primer settings and a custom database, it can be applied to other amplicons and organisms, and used for reanalysis of existing datasets. The core dataflow of the implementation is (i) data reduction to unique marker sequences, often called amplicon sequence variants (ASVs), (ii) dynamic thresholds for discarding low abundance sequences to remove noise and artifacts (rather than error correction by default), before (iii) classification using a curated reference database. The default classifier assigns a label to each query sequence based on a database match that is either perfect, or a single base pair edit away (substitution, deletion or insertion). Abundance thresholds for inclusion can be set by the user or automatically using per-batch negative or synthetic control samples. Output is designed for practical interpretation by non-specialists and includes a read report (ASVs with classification and counts per sample), sample report (samples with counts per species classification), and a topological graph of ASVs as nodes with short edit distances as edges. Source code available from https://github.com/peterjc/thapbi-pict/ with documentation including installation instructions. |
| first_indexed | 2024-03-09T07:26:18Z |
| format | Article |
| id | doaj.art-8785f97214b64a08b5264d71a8827c00 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T07:26:18Z |
| publishDate | 2023-08-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-8785f97214b64a08b5264d71a8827c002023-12-03T07:01:04ZengPeerJ Inc.PeerJ2167-83592023-08-0111e1564810.7717/peerj.15648THAPBI PICT—a fast, cautious, and accurate metabarcoding analysis pipelinePeter J. A. Cock0David E. L. Cooke1Peter Thorpe2Leighton Pritchard3Information and Computational Sciences, The James Hutton Institute, Dundee, United KingdomCell and Molecular Sciences, The James Hutton Institute, Dundee, United KingdomCell and Molecular Sciences, The James Hutton Institute, Dundee, United KingdomInformation and Computational Sciences, The James Hutton Institute, Dundee, United KingdomTHAPBI PICT is an open source software pipeline for metabarcoding analysis of Illumina paired-end reads, including cases of multiplexing where more than one amplicon is amplified per DNA sample. Initially a Phytophthora ITS1 Classification Tool (PICT), we demonstrate using worked examples with our own and public data sets how, with appropriate primer settings and a custom database, it can be applied to other amplicons and organisms, and used for reanalysis of existing datasets. The core dataflow of the implementation is (i) data reduction to unique marker sequences, often called amplicon sequence variants (ASVs), (ii) dynamic thresholds for discarding low abundance sequences to remove noise and artifacts (rather than error correction by default), before (iii) classification using a curated reference database. The default classifier assigns a label to each query sequence based on a database match that is either perfect, or a single base pair edit away (substitution, deletion or insertion). Abundance thresholds for inclusion can be set by the user or automatically using per-batch negative or synthetic control samples. Output is designed for practical interpretation by non-specialists and includes a read report (ASVs with classification and counts per sample), sample report (samples with counts per species classification), and a topological graph of ASVs as nodes with short edit distances as edges. Source code available from https://github.com/peterjc/thapbi-pict/ with documentation including installation instructions.https://peerj.com/articles/15648.pdfAmpliconEnvironmental DNABiodiversityBarcodingMetabarcodingPhytophthora |
| spellingShingle | Peter J. A. Cock David E. L. Cooke Peter Thorpe Leighton Pritchard THAPBI PICT—a fast, cautious, and accurate metabarcoding analysis pipeline PeerJ Amplicon Environmental DNA Biodiversity Barcoding Metabarcoding Phytophthora |
| title | THAPBI PICT—a fast, cautious, and accurate metabarcoding analysis pipeline |
| title_full | THAPBI PICT—a fast, cautious, and accurate metabarcoding analysis pipeline |
| title_fullStr | THAPBI PICT—a fast, cautious, and accurate metabarcoding analysis pipeline |
| title_full_unstemmed | THAPBI PICT—a fast, cautious, and accurate metabarcoding analysis pipeline |
| title_short | THAPBI PICT—a fast, cautious, and accurate metabarcoding analysis pipeline |
| title_sort | thapbi pict a fast cautious and accurate metabarcoding analysis pipeline |
| topic | Amplicon Environmental DNA Biodiversity Barcoding Metabarcoding Phytophthora |
| url | https://peerj.com/articles/15648.pdf |
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