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Table 1 Considerations for new users developing a helminth metabarcoding protocol

From: Transforming gastrointestinal helminth parasite identification in vertebrate hosts with metabarcoding: a systematic review

Step

Method

Prosa

Consa

1. Collect samples

Fecal material

Non-invasive

Risk of environmental contamination

Low effort to collect

Parasite species that are actively reproducing may make up larger portion of sequence reads

Can obtain a large sample size

DNA may be degraded and/or PCR inhibitors may be present in fecal matter

Gastrointestinal tract tissue

Can detect parasites that are not actively reproducing

Invasive

Environmental contamination is limited

Obtaining a large sample size may be difficult, especially for imperiled species

Cloacal swab

Non-invasive

Only available for certain host species

Low effort to collect

Swab may miss parasite species located higher up in orifice

2. Extract DNA

Traditional technique (i.e. isopropanol precipitation, phenol–chloroform)

May already have reagents in laboratory, low cost

May need to troubleshoot to validate protocol

High DNA yield

Lower detection rate of species present in sample

Commercial kit

DNA kits made specifically for fecal matter to decrease PCR inhibitors

Higher cost

High detection rate of species present in sample

Variable DNA yield depending on sample type and kit used

Isolating parasites from sample before extraction

Limits PCR inhibitors in fecal matter

May lose some adult parasites if utilizing a sieving method focused on collected eggs, avoidable if using co-proculture and extracting whole sample

Time-consuming

Lysis procedures (i.e. bead beating)

Increase DNA yield of species with hard eggshells

Time-consuming, additional costs

3. Amplified marker region

Nuclear ITS

Good for species identification due to highly variable sequences between species

ITS region may not as suitable for inferring phylogenetic relationships due to nucleotide substitution saturation

Nuclear rRNA (28S, 18S)

Highly conserved, good for determining phylogenetic relationships

Lower resolution of species-level identification

Easier primer design due to more universal primers and reference sequences available

Only a small proportion of sequence reads are specific to nematodes for 18S

Mitochondrial COX1

Universal primers available

High sequence variation in COX1  gene in helminths compared to other groups leads to low PCR amplification success and limited taxa identification

Mitochondrial 16S

Good phylogenetic and species resolution

Used less frequently in studies causing fewer reference sequences available

Mitochondrial 12S

Good phylogenetic and species resolution, may recover more platyhelminth and nematode species than 16S

Used less frequently in studies causing fewer reference sequences available

4. Sequencing platforms

Illumina (Illumina Inc., San Diego, CA, USA)

Low error rates

Maximum read length is appprox. 500 bp (for paired end sequencing)

Produces short reads, which can provide high read numbers per sample

Short reads may have lower accuracy in assigning taxonomy

Available at most genomic core facilities, well-established procedures

Less power in determining phylogenetic relationships

Pacific Biosciences of California, Inc. (PacBio; Menlo Park, CA, USA)

Produces long reads, up to 10,000 bp long

Primer pairs need to be developed to cover the longer fragments, lower read depth

Long reads may be necessary if using long marker regions or a combination of marker regions

Less available at genomic core facilities than Illumina platforms

Long reads are better for phylogenetic inferences

Higher error rate than the Illumina method

5. Bioinformatic analysis and database

NCBI GenBank

Database is largest, contains sequences from all phyla

Not all sequences are annotated

Compatible with any genetic marker

Mislabeled sequences may be present, database is less curated than more custom databases

Nemabiome ITS2 database

Clear protocols developed

Only contains sequences from phylum Nematoda

Database is updated frequently

Only compatible with ITS2 genetic marker

SILVA rRNA database

Quality checked and regular updates

Only compatible with rRNA markers (18S, 16S, 28S, 23S)

Protist Ribosomal Reference database (PR2)

Annotated, allows for interpretation of the structure and function of specific genes

Only compatible with 18S rRNA and limited 16S genetic markers

  1. COX1 Cytochrome c oxidase 1, ITS internal transcribed spacer, NCBI National Center for Biotechnology Information, rRNA ribosomal RNA
  2. aPros and cons are listed for each step of the process