Evidence map›Paper›PMID 33205353›Full record

ArticleJournal, genetic engineering & biotechnology2020

In silico design and validation of a highly degenerate primer pair: a systematic approach.

Prosper Obed Chukwuemeka, Haruna Isiyaku Umar, Oluwatoyin Folake Olukunle, Oluwaseyi Matthew Oretade, Christopher Busayo Olowosoke, Emmanuel Oluwasegun Akinsola, Michael Omoniyi Elabiyi, Usman Garba Kurmi, Joy Oseme Eigbe, Bukola Rukayat Oyelere and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Designated primers targeted canineOpen veterinary journal · 2025
    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

12 authors at 2 institutions in 1 country.

Prosper Obed ChukwuemekaDepartment of Biotechnology, School of Sciences (SOS), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria. chukwuemekamcb154271@futa.edu.ng.ORCID http://orcid.org/0000-0001-8381-2802
Haruna Isiyaku UmarDepartment of Biochemistry, School of Sciences (SOS), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.ORCID http://orcid.org/0000-0001-9427-9804
Oluwatoyin Folake OlukunleDepartment of Biotechnology, School of Sciences (SOS), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.
Oluwaseyi Matthew OretadeDepartment of Biotechnology, School of Sciences (SOS), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.
Christopher Busayo OlowosokeDepartment of Biotechnology, School of Sciences (SOS), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.
Emmanuel Oluwasegun AkinsolaDepartment of Mechanical Engineering, School of Engineering and Engineering Technology (SEET), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.
Michael Omoniyi ElabiyiDepartment of Microbiology, School of Sciences (SOS), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.
Usman Garba KurmiDepartment of Biochemistry, University of Maiduguri, Maiduguri, Nigeria.
Joy Oseme EigbeDepartment of Biomedical Technology, School of Health and Health Technology (SHHT), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.
Bukola Rukayat OyelereDepartment of Microbiology, School of Sciences (SOS), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.
Lucky Efe IsunuDepartment of Microbiology, School of Sciences (SOS), Federal University of Technology Akure, Akure, P.M.B 704, Nigeria.
Oyeyemi Janet OretadeDepartment of Physiology, College of Health Science (CHS), Osun State University, Osogbo, Nigeria.
Federal University of Technology · NGUniversity of Maiduguri · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe techniques of amplifying genetic materials have enabled the extensive study of several biological activities outside the biological milieu of living systems. More recently, this approach has been extended to amplify population of genes, from evolutionarily related gene family for detection and evaluation of microbial consortial with several unique potentialities (e.g., enzymatic degradability). Conceivably, primer mixtures containing substitutions of different bases at specific sites (degenerate primers) have enabled the amplification of these genes in PCR reaction. However, the degenerate primer design problem (DPD) is a constraint to designing this kind of primer. To date, different algorithms now exist to solve various versions of DPD problem, many of which, only few addresses and satisfy the criteria to design primers that can extensively cover high through-put sequences while striking the balance between specificity and efficiency. The highly degenerate primer (HYDEN) design software program primarily addresses this variant of DPD problem termed "maximum coverage-degenerate primer design (MC-DPD)" and its heuristics have been substantiated for optimal efficiency from significant successes in PCR. In spite of the premium presented for designing degenerate primers, literature search has indicated relatively little use of its heuristics. This has been thought to result from the complexity of the program since it is run only by command-line, hence limiting its accessibility. To solve this problem, researchers have optionally considered the manual design of degenerate primers or design through software programs that provides accessibility through a graphical user interface (GUI). Realizing this, we have attempted in this study to provide a user-friendly approach for researchers with little or no background in bioinformatics to design degenerate primers using HYDEN

resultsVirtual Tests of our designed degenerate primer pair through in silico PCR substantiated the correspondence between efficiency and coverage with the target sequences as pre-defined by the initial HYDEN output, thereby validating the potentials of HYDEN to effectively solve the MC-DPD problem. Additionally, the designed primer-pair mechanistically amplified all sequences used as a positive control with no amplification observed in the negative controls.

conclusionIn this study, we provided a turnkey protocol to simplify the design of degenerate primers using the heuristics of the HYDEN software program.

Indexed as

AccessibleBioinformaticsC12OCoverageDegenerate primersGenetic materialsHYDENIn silico PCRMC-DPDSystematic

Identifiers

PMID33205353
PMCPMC7671957
OpenAlexW3105713273

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.