Animal/Plant Long Amplicon Sequencing

Animal/Plant Long Amplicon Sequencing

DNA barcoding (COI, rbcL, matK, ITS), transgene verification, targeted genotyping, and haplotype-resolved locus analysis by PacBio HiFi and Oxford Nanopore dual-platform long-read amplicon sequencing — comprehensive species coverage across mammals, birds, fish, insects, plants, and more, not limited to commonly studied organisms

Animal/Plant Long Amplicon Sequencing — PacBio and Nanopore dual-platform targeted long-read amplicon analysis for species identification, DNA barcoding, and genotyping across diverse animal and plant species

CD Genomics provides long amplicon sequencing for animal and plant research using PacBio HiFi (Q30+ consensus accuracy) and Oxford Nanopore PromethION platforms, supporting PCR amplicons from 1 kb to 15+ kb. Our service covers full-length DNA barcoding (COI, rbcL, matK, ITS), transgene insertion verification, targeted genotyping, and haplotype-resolved locus analysis across any species — including non-model organisms without reference genomes.

Long amplicon sequencing bridges the gap between short-read amplicon panels and whole-genome sequencing by delivering kilobase-length, single-molecule reads across targeted genomic regions. At CD Genomics, we combine PacBio HiFi circular consensus sequencing and Oxford Nanopore long-read technologies to provide end-to-end long amplicon sequencing services for animal and plant research. Whether your goal is species identification through DNA barcoding, transgene insertion validation, targeted genotyping of agronomic traits, or haplotype-resolved analysis of multi-kb loci, our dual-platform approach delivers the read length, accuracy, and throughput to match your experimental requirements.

Our service supports PCR amplicons ranging from 1 kb to 10+ kb across the full spectrum of commonly used genetic markers — mitochondrial (COI, Cytb, 12S, 16S, D-loop), chloroplast (rbcL, matK, psbA-trnH), nuclear ribosomal (ITS1, ITS2, full-length ITS, 18S, 28S), and custom-designed target regions — for any animal or plant species, including non-model organisms without existing reference genomes. For full-length 16S and ITS ribosomal amplicon applications, see our Full-Length 16S/18S/ITS Amplicon Sequencing service.

Why Choose Our Long Amplicon Sequencing Service

Long Amplicon Sequencing Spans Complete Genes and Haplotypes That Short-Read Amplicon Methods Cannot Resolve

Long amplicon sequencing refers to the targeted PCR amplification and high-throughput sequencing of genomic regions ranging from approximately 1 kb to 15+ kb in length, using long-read sequencing platforms capable of spanning entire genes, multigenic clusters, or repetitive regions in single contiguous reads. Unlike short-read amplicon sequencing (e.g., Illumina MiSeq 2×300 bp), which requires fragmenting target regions into overlapping tiles and computationally reconstructing full-length sequences, long-read amplicon sequencing reads each template molecule from end to end in a single pass, preserving complete gene structure, phasing information, and linkage between distant variants.

For animal and plant research, this technical distinction is transformative. A full-length COI barcode (658 bp), the standard mitochondrial marker for metazoan species identification, can be sequenced in a single PacBio HiFi read at Q30+ accuracy — eliminating the need for tiled amplicons, reducing PCR bias, and enabling direct observation of heterozygous haplotypes. Similarly, the complete ITS1-5.8S-ITS2 ribosomal cassette (~650–1,200 bp in plants) or the full 16S-ITS-23S ribosomal operon (~4,500 bp) can be captured as single contiguous amplicons, providing phylogenetic resolution that is unattainable with short-read approaches.

At CD Genomics, we have optimized long amplicon sequencing protocols across both major long-read platforms — PacBio (Sequel II / Revio with HiFi CCS) and Oxford Nanopore (PromethION with R10.4.1 flow cells) — to support animal and plant researchers working with any species of interest. Our service covers the complete workflow from PCR optimization and primer design through library preparation, multiplexed sequencing, and species-aware bioinformatics analysis.

Common Target Genes — COI, rbcL, matK, ITS, and Full-Length 16S for Species Identification and Genotyping

The choice of genetic marker depends on the research objective, taxonomic group, and required phylogenetic resolution. The table below summarizes the most widely used target genes for animal and plant long amplicon projects.

Taxonomic Group Target Gene / Region Typical Amplicon Length Primary Application
Animals (Mammals, Birds, Fish, Reptiles) COI (cytochrome c oxidase subunit I) 658 bp (full barcode) DNA barcoding, species identification, cryptic species discovery
Cytb (cytochrome b) 1,140 bp Phylogenetics, population genetics, species identification
12S rRNA & 16S rRNA ~400–1,600 bp Phylogenetics, eDNA metabarcoding, species identification
D-loop / control region ~800–1,200 bp Population genetics, phylogeography, conservation genetics
Plants rbcL (ribulose-1,5-bisphosphate carboxylase) ~600–1,400 bp DNA barcoding, phylogenetic analysis, chloroplast genomics
matK (maturase K) ~800–1,600 bp DNA barcoding (high discrimination power), phylogenetics
ITS1-5.8S-ITS2 (full-length ITS) ~450–1,200 bp Fungal & plant species identification, phylogenetics, metabarcoding
psbA-trnH intergenic spacer ~300–800 bp DNA barcoding (highly variable), land plant identification
Fungi ITS1-5.8S-ITS2 (full-length ITS) ~500–900 bp Fungal barcoding, species identification, mycobiome analysis
18S rRNA (SSU) + 28S rRNA (LSU) D1/D2 ~1,800 bp / ~600 bp Phylogenetics, fungal community profiling, taxonomic classification
Bacteria (host-associated) Full-length 16S rRNA (V1–V9) ~1,500 bp Species-level microbiome profiling, pathogen detection
16S-ITS-23S ribosomal operon ~4,500 bp Ultra-resolution taxonomic classification, strain-level identification
Custom / Application-Specific Transgene cassettes, gene-edited loci, STR/SSR regions, multi-kb haplotype blocks 1–15+ kb Transgene verification, gene editing validation, targeted genotyping, haplotype phasing

We support custom primer design and PCR optimization for any target region, including multi-locus panels where multiple amplicons are pooled and sequenced in a single multiplexed run. Contact our project scientists for a free feasibility assessment of your target region.

Long Amplicon Sequencing Delivers Full-Length Single-Molecule Resolution with Species-Level Taxonomic Accuracy

Scientific Advantages

  • Full-Length Single-Molecule Resolution

Each read spans the complete target amplicon, preserving phased haplotype information and eliminating the ambiguity of tiled short-read assembly. Heterozygous variants are observed directly rather than inferred.

  • Species-Level Taxonomic Accuracy

Full-length barcode genes (COI, rbcL+matK, full ITS, full-length 16S) provide discriminatory power equivalent to or exceeding the combined resolution of multiple short-read markers, enabling confident species and strain identification even among closely related taxa.

  • Detection of Paralogous & Repetitive Regions

Long contiguous reads can span repetitive elements and distinguish true orthologs from pseudogenes or nuclear mitochondrial DNA segments (NUMTs), reducing false-positive variant calls.

Business & Project Advantages

  • Cost-Efficient Multiplexing

PacBio's 384-sample barcoding system and ONT's native barcoding allow hundreds of amplicon libraries to be pooled in a single sequencing run, reducing per-sample costs to competitive levels without compromising read depth.

  • Flexible Throughput Scaling

From single-gene barcoding of a handful of samples to large-scale population screening across thousands of individuals, our dual-platform capacity scales to meet project needs — with same-platform data integration across runs.

  • Non-Model Organism Expertise

We routinely work with species that lack reference genomes, optimized primers, or established protocols. Our wet-lab team designs and validates custom assays for non-model organisms, from rare wildlife species to understudied crop relatives.

Validated Across Mammals, Fish, Insects, Crops, and Non-Model Species — No Reference Genome Required

Our long amplicon sequencing platform has been validated across a wide taxonomic range. The table below lists commonly studied species alongside representative non-model organisms we have successfully sequenced. This list is representative, not exhaustive — we welcome inquiries about any species of interest.

Animal Species (Vertebrate & Invertebrate)

Category Common Species Scientific Names Typical Markers
Livestock & Domesticated Mammals Cattle Bos taurus COI, Cytb, 16S
Pig Sus scrofa COI, Cytb, D-loop
Chicken Gallus gallus COI, Cytb, D-loop
Sheep Ovis aries COI, Cytb, 16S
Goat Capra hircus COI, Cytb, D-loop
Horse Equus caballus COI, Cytb, 12S
Laboratory & Model Animal Species Mouse Mus musculus COI, Cytb, custom
Rat Rattus norvegicus COI, Cytb, custom
Zebrafish Danio rerio COI, 16S, Cytb
African clawed frog Xenopus laevis / tropicalis COI, 16S, 12S
Fruit fly Drosophila melanogaster COI, ITS, 12S
Companion & Wildlife Animals Dog Canis lupus familiaris COI, Cytb, 16S
Cat Felis catus COI, Cytb, 16S
Rabbit Oryctolagus cuniculus COI, Cytb, D-loop
Rhesus macaque Macaca mulatta COI, Cytb, 12S
Fish & Aquaculture Species Atlantic salmon Salmo salar COI, Cytb, 16S
Medaka Oryzias latipes COI, 12S, 16S
Tilapia Oreochromis niloticus COI, Cytb, D-loop
Common carp Cyprinus carpio COI, Cytb, 16S
Insects & Arthropods Silkworm Bombyx mori COI, ITS, 16S
Honeybee Apis mellifera COI, ITS, 16S
Red flour beetle Tribolium castaneum COI, ITS, 18S
Other Invertebrates Nematode Caenorhabditis elegans COI, 18S, ITS
Sea urchin Strongylocentrotus purpuratus COI, 16S, 12S
Pacific oyster Crassostrea gigas COI, 16S, Cytb

Plant Species (Crop, Model, & Non-Model Plants)

Category Common Species Scientific Names Typical Markers
Cereal & Staple Crops Rice Oryza sativa rbcL, matK, ITS
Wheat Triticum aestivum rbcL, matK, ITS
Maize (Corn) Zea mays rbcL, matK, ITS
Barley Hordeum vulgare rbcL, matK, ITS
Sorghum Sorghum bicolor rbcL, matK, ITS
Sugarcane Saccharum officinarum rbcL, matK, ITS
Legumes & Oil Crops Soybean Glycine max rbcL, matK, ITS
Canola (Rapeseed) Brassica napus rbcL, matK, ITS
Sunflower Helianthus annuus rbcL, matK, ITS
Oil palm Elaeis guineensis rbcL, matK, ITS
Fruits & Vegetables Tomato Solanum lycopersicum rbcL, matK, ITS
Potato Solanum tuberosum rbcL, matK, ITS
Apple Malus domestica rbcL, matK, ITS
Grape Vitis vinifera rbcL, matK, ITS
Fiber, Industrial & Biofuel Crops Cotton Gossypium hirsutum rbcL, matK, ITS
Tobacco Nicotiana tabacum rbcL, matK, ITS
Cassava Manihot esculenta rbcL, matK, ITS
Poplar Populus trichocarpa rbcL, matK, ITS
Model & Horticultural Plants Thale cress Arabidopsis thaliana rbcL, matK, ITS
Strawberry Fragaria × ananassa rbcL, matK, ITS
Banana Musa acuminata rbcL, matK, ITS
Beverage & Specialty Crops Tea Camellia sinensis rbcL, matK, ITS
Coffee Coffea arabica rbcL, matK, ITS
Chocolate / Cacao Theobroma cacao rbcL, matK, ITS

Not limited to these species. The tables above represent species we have successfully sequenced, but our platform is compatible with any animal or plant species. We routinely optimize protocols for non-model organisms, rare and endangered species, understudied crop wild relatives, and environmental samples. Contact our team to discuss your species of interest.

Long Amplicon Sequencing Supports DNA Barcoding, Transgene Verification, Genotyping, and Phylogenetic Analysis

Species Identification & DNA Barcoding

Transgene & Gene Editing Verification

Targeted Genotyping & Marker Discovery

Haplotype-Resolved Locus Analysis

Phylogenetics & Evolutionary Genomics

From DNA Extraction to Bioinformatics — The Long Amplicon Sequencing Workflow

1. DNA Extraction & Quality Control

High-molecular-weight genomic DNA is extracted from the submitted sample (tissue, blood, saliva, cells, FTA cards, or environmental substrate). DNA integrity and concentration are assessed by agarose gel electrophoresis, Qubit fluorometry, and NanoDrop spectrophotometry. Minimum input: 200 ng of high-quality gDNA (OD260/280 1.8–2.0, OD260/230 ≥ 1.8).

2. Target Amplification — PCR Optimization

Targeted genomic regions are amplified using gene-specific or universal primers (e.g., COI, rbcL, matK, ITS, 16S). For non-model species or challenging templates, we perform gradient PCR optimization to determine optimal annealing temperature, Mg2+ concentration, and polymerase selection. High-fidelity DNA polymerases are used for amplicons requiring high consensus accuracy (e.g., barcode sequences for taxonomic publication).

3. Library Construction & Barcoding

Amplicons are purified, end-repaired, and ligated with platform-specific barcoded adapters. For PacBio, we use the SMRTbell prep with up to 384-sample multiplexing (barcoded overhang adapters). For ONT, we use native barcoding kits (up to 96 samples per flow cell). Pooled libraries are size-selected to remove primer dimers and non-specific short fragments using AMPure PB beads or BluePippin size selection.

End-to-end long amplicon sequencing workflow from DNA extraction, PCR amplification of target genes, library preparation with barcoding, PacBio HiFi and Oxford Nanopore sequencing, to bioinformatics analysis including consensus calling, variant detection, and taxonomic assignment Figure 1. Complete workflow for animal and plant long amplicon sequencing — from sample DNA extraction through PacBio HiFi or Nanopore long-read sequencing to bioinformatics analysis and biological interpretation.

4. Long-Read Sequencing

Sequencing is performed on the optimal platform for each project: PacBio Sequel II / Revio with HiFi CCS mode (Q30+, 15–30 kb insert sizes) for high-accuracy consensus generation and confident variant calling, or Oxford Nanopore PromethION with R10.4.1 flow cells and Dorado SUP basecalling for cost-effective deep coverage across large amplicon panels. For projects requiring both accuracy and depth, we recommend a hybrid approach combining both platforms.

5. Bioinformatics Analysis

Raw sequencing reads are processed through our long amplicon analysis pipelines: PacBio SMRT Link (CCS generation, demultiplexing, LAA consensus) or ONT Dorado + MinKNOW (basecalling, demultiplexing, adapter trimming). Downstream analysis includes high-accuracy consensus sequence generation, multi-sequence alignment, variant calling (SNPs, InDels, STRs), haplotype phasing, species-level taxonomic assignment against curated reference databases (BOLD, NCBI GenBank, UniProt), and phylogenetic tree reconstruction. See the Bioinformatics Analysis section for a detailed feature table.

Our Bioinformatics Pipelines Deliver Consensus Sequences, Variant Calls, and Taxonomic Assignment from Long Amplicon Reads

Our bioinformatics pipelines are tailored specifically for long-read amplicon data and cover all standard deliverable types required for publication. The table below details our analysis modules across basic and advanced tiers.

Analysis Feature Basic Package Advanced Package
Raw data processing & quality filtering ✓ CCS / Dorado basecalling, demultiplexing, adapter trimming ✓ + Deep learning-based error correction (HERRO, RENANO)
High-accuracy consensus generation ✓ PacBio LAA / ONT Medaka consensus per amplicon ✓ Multi-algorithm consensus (Medaka + Racon + VSEARCH)
Taxonomic assignment & species ID ✓ BLASTn against NCBI nt / BOLD databases ✓ Minimap2 + GROND database; phylogenetic placement (EPA-ng, pplacer)
Variant calling (SNPs & InDels) ✓ FreeBayes / BCFtools (PacBio HiFi); Clair3 (Nanopore) ✓ + DeepVariant / PEPPER-Margin-DeepVariant; haplotype-aware calling
Haplotype phasing ✓ WhatsHap / HapCUT2 phasing; single-molecule haplotype visualization
STR/SSR genotyping ✓ RepeatMasker / STRique profiling; allele frequency estimation
Multiple sequence alignment & phylogenetics ✓ MAFFT alignment + IQ-TREE maximum likelihood tree ✓ + Divergence time estimation (BEAST2), ancestral state reconstruction
Detection of chimeras & PCR artifacts ✓ UCHIME2 / VSEARCH chimera detection ✓ + Cross-algorithm validation (removeBimeraDenovo, uchime_denovo)
Population genetics statistics ✓ FST, nucleotide diversity (π), Tajima’s D, haplotype networks (TCS, median-joining)
Custom reporting & visualization ✓ Standard report with summary tables, alignments, trees ✓ Interactive reports (R Shiny / Jupyter); publication-ready figures
Custom database construction ✓ Reference database building from custom barcode libraries or isolate collections

PacBio HiFi vs. Oxford Nanopore vs. Sanger — Platform Selection for Your Long Amplicon Project

The optimal sequencing platform for your long amplicon project depends on the required accuracy, throughput, read length, and turnaround time. We provide all three platforms and can recommend the best approach for your specific application.

Feature PacBio HiFi (Sequel II / Revio) Oxford Nanopore (PromethION) Sanger Sequencing
Read accuracy (single-molecule) Q30+ (>99.9% CCS consensus) Q14–Q20 (Dorado SUP, R10.4.1) Q40+ (>99.99%)
Read length 1–25 kb (CCS mode) 1–100+ kb (unlimited ceiling) 400–1,000 bp (typical per read)
Depth per amplicon (multiplexed, 96 samples) 500–5,000× CCS reads 1,000–20,000× raw reads 1× (single capillary)
Multiplexing capacity Up to 384 samples (barcoded overhang adapters) Up to 96 samples (native barcoding) 1 sample per reaction
Consensus accuracy (amplicon) >QV50 (>99.999%) with CCS + LAA >QV40 (>99.99%) with Medaka + Racon polishing >QV60+ (gold standard)
Haplotype phasing ✔ Direct (single-molecule reads span heterozygous sites) ✔ Direct (long reads span multiple variants) ✘ Not possible
Detection of low-frequency variants ✔ 1–5% minor allele frequency ✔ 5–10% minor allele frequency ✘ <20% not reliable
Best suited for High-accuracy barcoding, SNP/InDel detection, variant phasing, publication-grade taxonomy Deep amplicon panels, cost-effective screening, long targets (>10 kb), rapid turnaround Single-sample validation, short targets (<1 kb), small projects (<10 samples)
Per-sample cost (multiplexed) $$ (medium) $ (low) $$$ (high per reaction)

We provide platform-neutral recommendations based on your project specifications. Many projects benefit from a hybrid strategy: PacBio HiFi for high-confidence variant discovery on a subset, scaled to ONT for population-level screening. Contact our scientists for a free platform consultation.

Sample Input and Quality Requirements for Long Amplicon Sequencing

Category Requirement Notes
Sample type High-molecular-weight genomic DNA, tissue, blood, saliva, cells, FTA cards, or environmental samples (soil, water, air filters) DNA extraction service available for challenging sample types
Minimum input (gDNA) 200 ng (per amplicon target); 500 ng recommended for multi-locus panels Lower input accepted with PCR cycle optimization; QC failure risk increases below 50 ng
DNA quality OD260/280: 1.8–2.0; OD260/230: ≥ 1.8; no visible degradation on gel Degraded DNA may still be suitable for short amplicons (<2 kb); please inquire
Primers Client-provided or CD Genomics-designed (custom primer design service available) We recommend providing primer sequences and expected amplicon size at project initiation
Target amplicon size 1 kb – 10 kb (standard); up to 15+ kb with custom optimization for ONT PacBio HiFi optimal for 1–6 kb; ONT preferred for >6 kb amplicons
Shipping conditions gDNA: ice pack (4°C) or dry ice; Tissue: dry ice or RNAlater; FTA cards: room temperature See our Sample Submission Guidelines for detailed instructions

QC Standards and Data Interpretation Boundaries for Long Amplicon Sequencing

Quality Control Metrics

QC Parameter Minimum Requirement Recommended Target
CCS read accuracy (PacBio) Q20 Q30+ (>99.9%)
Consensus accuracy per amplicon QV30 QV40+ (>99.99%)
Coverage depth per amplicon 100× 500× (PacBio) / 1,000× (ONT)
Demultiplexing accuracy 95% of reads assigned >99% with barcode QC filtering
Chimera detection rate <5% of total reads <1% after filtering

Interpretation Boundaries

  • Long amplicon sequencing data are for research use only. Consensus sequences, variant calls, and taxonomic assignments are generated through computational pipelines and should be validated by orthogonal methods before use in regulatory or diagnostic applications
  • PCR amplification bias may affect quantitative interpretations. Amplicon sequencing is semi-quantitative — relative read proportions reflect template abundance but are influenced by PCR efficiency, GC content, and target secondary structure. Do not interpret amplicon read counts as absolute molecular counts
  • Chimera formation is inherent to multiplex PCR. Despite rigorous detection and filtering, low-abundance chimeric sequences may persist in the final dataset. For critical applications, we recommend independent validation of novel sequence variants by targeted Sanger sequencing
  • Taxonomic assignment accuracy depends on reference database completeness. Species-level identification is limited by the availability and quality of reference sequences in public databases (BOLD, NCBI GenBank). For understudied taxa, genus-level or family-level assignment may be the highest achievable resolution
  • Novel haplotypes or putative new species require independent confirmation. Long amplicon consensus sequences can identify candidate novel haplotypes, but formal species designation requires integrated taxonomic evidence beyond single-locus sequence data

CD Genomics Offers Dual-Platform Long Amplicon Sequencing with Multi-Species Expertise

Proven Dual-Platform Expertise

We operate both PacBio Sequel II / Revio and Oxford Nanopore PromethION platforms in-house, with validated long amplicon sequencing protocols on both systems. Our platform-agnostic approach ensures that each project uses the optimal technology — or combination of technologies — for its specific requirements, rather than being constrained by a single-platform offering.

True Multi-Species Capability

Unlike services limited to standard model organisms, we have demonstrated success across the full taxonomic spectrum — from livestock and crop plants to non-model wildlife, rare and endangered species, deep-sea organisms, and environmental samples. Our wet-lab team is experienced in designing and optimizing assays for species with limited genomic resources.

End-to-End Service, Not Just Sequencing

We manage the complete project lifecycle: experimental design consultation, primer design and validation, PCR optimization, library preparation, sequencing, and comprehensive bioinformatics analysis. Each project includes a dedicated project scientist who serves as a single point of contact from sample receipt through final data delivery.

Publication-Ready Deliverables

Our standard deliverable package includes high-accuracy consensus sequences for each amplicon (FASTA/FASTQ), multiple sequence alignments, variant call files (VCF), taxonomic assignment reports, phylogenetic trees (Newick format), and a comprehensive project report with methods and QC metrics suitable for the methods section of your manuscript.

Case Study: Nanopore-Based Species Identification of Neotropical Non-Model Mammals

Velasquez-Restrepo S, Corrales Orozco M, Franco-Sierra ND, Martínez-Cerón JM, Díaz-Nieto JF. Identification of non-model mammal species using the MinION DNA sequencer from Oxford Nanopore. PeerJ. 2024;12:e17887. doi:10.7717/peerj.17887.

1. Background

Species identification is a critical first step in biodiversity research, conservation biology, and ecological monitoring. Traditional morphological identification requires specialized taxonomic expertise and is often insufficient for cryptic species complexes. While DNA barcoding (primarily COI) offers a molecular alternative, the conventional barcoding workflow relies on Sanger sequencing of individual specimens — a low-throughput and costly approach that becomes impractical at the scale required for biodiversity inventories in megadiverse regions such as the Neotropics.

In this study, Velasquez-Restrepo et al. set out to develop and validate a Nanopore-only workflow for rapid species identification of non-model small mammal species (rodents, bats, and marsupials) from field-collected samples in Colombia's northern Cordillera Central, using Oxford Nanopore MinION sequencing and a custom bioinformatics pipeline for mitochondrial genome reconstruction from shotgun data.

2. Methods

Field sampling was conducted across five localities in the northern Cordillera Central of Colombia, yielding 24 small mammal individuals (rodents, bats, and marsupials). Total genomic DNA was extracted from tissue samples and sequenced on Oxford Nanopore MinION devices using Flongle flow cells (R9.4.1), producing shotgun genomic sequencing data. Mitochondrial genomes were assembled from the raw ONT reads using a customized computational pipeline that included read quality filtering, mitochondrial read identification by alignment to reference mitogenomes, de novo assembly, and consensus generation. Species identification was performed by comparing assembled mitochondrial genomes against reference databases, with the entire analysis pipeline designed to run on standard laptop hardware for field-deployable applications.

3. Results

Case study summary — Nanopore MinION species identification of non-model Neotropical mammals showing the field-to-identification workflow, mitochondrial genome assembly pipeline, and species-level classification accuracy across rodents, bats, and marsupials from Colombia Figure 2. Nanopore-based species identification workflow for non-model Neotropical mammals. The pipeline combines MinION/Flongle shotgun sequencing, mitochondrial genome assembly from raw ONT reads, and a custom computational classification system for rapid, field-deployable species identification. Adapted from Velasquez-Restrepo et al. (2024), PeerJ, CC BY 4.0.

Key Findings

4. Conclusions

This study demonstrates that Nanopore long-read sequencing, combined with a custom bioinformatics pipeline, provides a rapid, accurate, and field-deployable solution for species identification of non-model mammals. The approach is broadly applicable to other vertebrate and invertebrate taxa and is particularly valuable for biodiversity surveys in megadiverse tropical regions where rapid species assessment is urgently needed for conservation planning.

When to Choose Long Amplicon Sequencing — and When Alternative Methods May Be More Suitable

Choose long amplicon sequencing when:

Consider alternative methods when:

CD Genomics provides free project consultation to help determine whether long amplicon sequencing is the right approach for your animal or plant research project. Contact our scientists to discuss your species and target regions.

Frequently Asked Questions About Long Amplicon Sequencing for Animal and Plant Research

Long amplicon sequencing projects frequently raise questions about species compatibility, multiplexing strategy, and data deliverable formats. The FAQs below address the most common inquiries received by our project scientists.

Sample Deliverables for Animal and Plant Long Amplicon Sequencing Projects

1. High-accuracy consensus sequences (FASTA format) for each amplicon target, with per-base quality scores and coverage statistics — suitable for GenBank submission and phylogenetic analysis.

2. Multiple sequence alignment and maximum-likelihood phylogenetic tree (Newick format) with bootstrap support values, including species-level taxonomic labels and outgroup rooting.

3. Comprehensive variant report (VCF format) with SNP, InDel, and STR calls for population genetics analysis, including allele frequency tables and haplotype assignments.

4. Full project report in PDF format documenting all methods, QC metrics, analysis parameters, and results — designed for inclusion in manuscripts and grant reports.

Representative deliverables from animal and plant long amplicon sequencing projects — consensus sequence alignments, phylogenetic tree reconstruction, variant detection results, and species identification reports Figure 3. Representative deliverable formats for animal/plant long amplicon sequencing projects. Left: consensus sequence alignment and phylogenetic tree for species identification. Center: variant detection and genotyping results for population-level analysis. Right: species-level taxonomic classification report with confidence scores. AI-generated representative data.

References

  1. Velasquez-Restrepo S, Corrales Orozco M, Franco-Sierra ND, Martínez-Cerón JM, Díaz-Nieto JF. Identification of non-model mammal species using the MinION DNA sequencer from Oxford Nanopore. PeerJ. 2024;12:e17887. doi:10.7717/peerj.17887.
  2. Baer M, Höppe L, Seel W, Lipski A. Impact of DNA extraction, PCR amplification, sequencing, and bioinformatic analysis on food-associated mock communities using PacBio long-read amplicon sequencing. BMC Microbiology. 2024;24:521. doi:10.1186/s12866-024-03677-8.
  3. Srinivas M, Walsh CJ, Crispie F, O'Sullivan O, Cotter PD, van Sinderen D, Kenny JG. Evaluating the efficiency of 16S-ITS-23S operon sequencing for species level resolution in microbial communities. Scientific Reports. 2025;15:2822. doi:10.1038/s41598-024-83410-7.

For research use only. Not for use in diagnostic procedures.

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