Evidence map›Paper›PMID 41968734›Full record

ArticleMolecular ecology resources2026

OligoN-Design: A Simple and Versatile Tool to Design Specific Probes and Primers From Large Heterogeneous Datasets.

Miguel M Sandin, Marie Walde, Nicolas Henry, Irene Forn, Nathalie Simon, Cédric Berney, Ramon Massana, Daniel J Richter

Abstract read
In one paragraph

Article in Molecular ecology resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Miguel M SandinInstitut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain.ORCID https://orcid.org/0000-0002-0602-7613
Marie WaldeSorbonne Université, CNRS, AD2M, UMR 7144, Station Biologique De Roscoff, Roscoff, France.
Nicolas HenryCNRS, Sorbonne Université, FR2424, ABiMS, Station Biologique de Roscoff, Roscoff, France.ORCID https://orcid.org/0000-0002-7702-1382
Irene FornInstitut de Ciències del Mar (CSIC), Barcelona, Catalonia, Spain.
Nathalie SimonSorbonne Université, CNRS, AD2M, UMR 7144, Station Biologique De Roscoff, Roscoff, France.
Cédric BerneyInstitut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain.ORCID https://orcid.org/0000-0001-8689-9907
Ramon MassanaInstitut de Ciències del Mar (CSIC), Barcelona, Catalonia, Spain.ORCID https://orcid.org/0000-0001-9172-5418
Daniel J RichterInstitut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain.ORCID https://orcid.org/0000-0002-9238-5571

Funding

Departament de Recerca i Universitats de la Generalitat de Catalunya 2021 SGR 00751Deutsche Forschungsgemeinschaft 464344344European Research Council PID2022-137508NB-I00European Research Council PID2023-152955NA-I00European Union under the Horizon Europe Programme 101082304Generalitat de Catalunya 2021BP00068H2020 Marie Skłodowska-Curie Actions 101103530
6 · The paper itself

Abstract

High-throughput environmental DNA sequencing has ushered ecological and evolutionary studies into the big data era. With thousands to millions of DNA sequences, designing taxon-specific oligonucleotides is a current bottleneck of molecular studies that rely on primers for Polymerase Chain Reactions (PCRs) or probes for Fluorescence in situ Hybridization (FISH). No software currently exists to design specific oligonucleotides starting from a custom set of sequences. Existing tools rely on specific databases, alignments or phylogenetic trees, or cannot accommodate increasingly large molecular environmental datasets. Here we present oligoN-design, a versatile tool to design oligonucleotides specific to a set of target sequences while minimizing predicted binding to non-target sequences. OligoN-design is simple, reproducible and adaptable to high-throughput sequencing data analyses. It requires only two fasta files as input, one containing target taxa and the other containing non-target taxa. Using standard bioinformatic formats, it integrates easily with other tools such as BLAST, VSEARCH or MAFFT. OligoN-design allows a range of strategies that we present in detail, from an unsupervised end-to-end usage all the way to a detailed and thorough expert usage. Starting with large, comprehensive ribosomal databases that are widely used by the community (i.e., PR2, SILVA) and the unsupervised function, we were able to replicate known taxa-specific oligonucleotides in under 30 min and up to 6 GB of RAM on a personal laptop. OligoN-design, available at github.com/MiguelMSandin/oligoN-design under GNU General Public Licence version 3.0, is easily installed via bioconda bioconda.github.io/recipes/oligon-design/README.html.

Indexed as

Computational BiologyDNA PrimersOligonucleotide ProbesSoftwareHigh-Throughput Nucleotide SequencingSequence Analysis, DNADNA PrimersOligonucleotide Probesbioinformaticsfluorescence in situ hybridizationoligonucleotide designpolymerase chain reactionribosomal DNA

Identifiers

PMID41968734
PMCPMC13071497

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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.