Evidence map›Paper›PMID 33439452›Full record

ArticleMolecular biotechnology2021

Alternative Seamless Cloning Strategies in Fusing Gene Fragments Based on Overlap-PCR.

Xue-Wen Hou, Hong-Yun Tong, Zheng-Hui He

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Minicells derived fromApplied and environmental microbiology · 2026
    Article
  2. Article
  3. 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

3 authors.

Xue-Wen HouState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China. hxw1969@scau.edu.cn.ORCID http://orcid.org/0000-0002-6448-5292
Hong-Yun TongDepartment of Biology, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA, 94132, USA.
Zheng-Hui HeDepartment of Biology, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA, 94132, USA.

Funding

The Natural Science Foundation of China 30971709
6 · The paper itself

Abstract

Gene fragment swapping and site-directed mutagenesis are commonly required in dissecting functions of gene domains. While there are many approaches for seamless fusion of different gene fragments, new methods are yet to be developed to offer higher efficiency, better simplicity, and more affordability. In this study, we showed that in most cases overlap-PCR was highly effective in creating site-directed mutagenesis, gene fragment deletion, and substitutions using RUS1 and RUS2 as example. While for cases where the overlap-PCR approach is not feasible due to complex secondary structure of gene fragments, a unique restriction site can be generated at the overlapped region of the primers through synonymous mutations. Then different gene fragments can be seamlessly fused through traditional restriction digestion and subsequent ligation. In conclusion, while the classical overlap-PCR is not feasible, the modified overlap-PCR approaches can provide effective and alternative ways to seamlessly fuse different gene fragments.

Indexed as

Amino Acid SubstitutionArabidopsisArabidopsis ProteinsArtificial Gene FusionDNA, PlantDNA Restriction EnzymesMutagenesis, Site-DirectedNucleic Acid ConformationPolymerase Chain ReactionSequence DeletionArabidopsis ProteinsDNA, PlantDNA Restriction EnzymesRUS1 protein, ArabidopsisRUS2 protein, ArabidopsisMolecular cloningOverlap-PCRSeamless fusionSite-directed mutagenesisSynonymous mutation

Identifiers

What OpenQuestion holds

Textmetadata
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.