Evidence map›Paper›PMID 40181733›Full record

ArticleMolecular ecology resources2025

CCS-Consensuser: A Haplotype-Aware Consensus Generator for PacBio Amplicon Sequences.

Carlos Congrains, Forest Bremer, Julian R Dupuis, Norman B Barr, Ivonne J Garzón-Orduña, Daniel Rubinoff, Camiel Doorenweerd, Michael San Jose, Kimberley Morris, Angela Kauwe and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Carlos CongrainsEntomology Section, Department of Plant and Environmental Protection Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID https://orcid.org/0000-0001-7506-6133
Forest BremerU.S. Department of Agriculture-Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, Hawaii, USA.
Julian R DupuisDepartment of Entomology, University of Kentucky, Lexington, Kentucky, USA.ORCID https://orcid.org/0000-0002-6989-9179
Norman B BarrUnited States Department of Agriculture, Animal and Plant Health Inspection Service, Plant Protection and Quarantine, Pest Exclusion and Import Programs, National Identification Services, Riverdale, Maryland, USA.ORCID https://orcid.org/0000-0002-7063-1073
Ivonne J Garzón-OrduñaColección Nacional de Insectos, Instituto de Biología, Universidad Autónoma de México, Ciudad de México, México.ORCID https://orcid.org/0000-0003-3914-4952
Daniel RubinoffEntomology Section, Department of Plant and Environmental Protection Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID https://orcid.org/0000-0002-2732-3032
Camiel DoorenweerdEntomology Section, Department of Plant and Environmental Protection Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID https://orcid.org/0000-0002-0418-4439
Michael San JoseEntomology Section, Department of Plant and Environmental Protection Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID https://orcid.org/0000-0001-9877-2794
Kimberley MorrisEntomology Section, Department of Plant and Environmental Protection Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.
Angela KauweU.S. Department of Agriculture-Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, Hawaii, USA.
Scott GeibU.S. Department of Agriculture-Agricultural Research Service, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Hilo, Hawaii, USA.ORCID https://orcid.org/0000-0002-9511-5139

Funding

U.S. Department of Agriculture-Animal and Plant Health Inspection Service 8130-0565-CAU.S. Department of Agriculture-Animal and Plant Health Inspection Service 8130-0984-IA
6 · The paper itself

Abstract

DNA sequencing technology has undergone substantial improvements in recent years, to the extent that Third Generation Sequencing platforms are capable of massively generating long-reads. Amplicon sequencing has been among the most popular techniques due to its wide application in diverse fields of biological sciences. However, there is a lack of software specifically designed to analyse intra-individual genetic variation using amplicon long-read data. Here, we present CCS-consensuser, an end-to-end pipeline that generates consensus sequences from amplicon sequencing using high-fidelity reads produced by PacBio circular consensus sequencing (CCS). We evaluated the concordance of the results produced using CCS + CCS-consensuser and other sequencing platforms (Illumina and Sanger), as well as accuracy using a simulated dataset. This assessment showed that CCS amplicon data coupled with CCS-consensuser can produce high-quality sequences (PHRED > 30). The pipeline resulted in high proportions of identical sequence bins for real data, achieving up to 94.94% concordance with COI Sanger sequences and 92.61% with nuclear loci Illumina sequences (considering heterozygous loci), and 95.55% with a fully phased nuclear simulated dataset. Furthermore, our pipeline can be used to detect heteroplasmy in mtDNA, cross-contamination, resolve the phase of nuclear genes in diploid organisms, and conceivably for multi-copy gene systems such as rDNA. These results not only support its potential for application in studies using haploid data such as DNA barcoding, but also demonstrate its unique capacity to explore within individual haplotype variation. Therefore, our strategy shows promise for a broad range of applications in biology and medicine that have been challenging to assess using traditional techniques.

Indexed as

Computational BiologyHaplotypesHigh-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareGenetic Variationamplicon sequencingcircular consensus sequencingconsensus sequenceintraindividual variationlong‐read sequencing

Identifiers

PMID40181733
PMCPMC12415819

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.