Evidence map›Paper›PMID 31666295›Full record

ArticleThe Plant cell2020

An Improved Recombineering Toolset for Plants.

Javier Brumos, Chengsong Zhao, Yan Gong, David Soriano, Arjun P Patel, Miguel A Perez-Amador, Anna N Stepanova, Jose M Alonso

Abstract read
In one paragraph

Article in The Plant cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. DELLA proteins positively regulate seed size in Arabidopsis.Development (Cambridge, England) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. The Diverse Salt-Stress Response of ArabidopsisPlants (Basel, Switzerland) · 2021
    Article
  13. Article
  14. 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

8 authors.

Javier BrumosDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695.ORCID 0000-0002-6503-9593
Chengsong ZhaoDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695.ORCID 0000-0002-1289-9696
Yan GongDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695.ORCID 0000-0003-1329-7096
David SorianoDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695.ORCID 0000-0002-6435-5842
Arjun P PatelDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695.ORCID 0000-0002-8211-6431
Miguel A Perez-AmadorDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695.ORCID 0000-0003-4518-3544
Anna N StepanovaDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695.ORCID 0000-0003-1018-4758
Jose M AlonsoDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, North Carolina 27695 jmalonso@ncsu.edu.ORCID 0000-0001-7087-1571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene functional studies often rely on the expression of a gene of interest as transcriptional and translational fusions with specialized tags. Ideally, this is done in the native chromosomal contexts to avoid potential misexpression artifacts. Although recent improvements in genome editing have made it possible to directly modify the target genes in their native chromosomal locations, classical transgenesis is still the preferred experimental approach chosen in most gene tagging studies because of its time efficiency and accessibility. We have developed a recombineering-based tagging system that brings together the convenience of the classical transgenic approaches and the high degree of confidence in the results obtained by direct chromosomal tagging using genome-editing strategies. These simple, scalable, customizable recombineering toolsets and protocols allow a variety of genetic modifications to be generated. In addition, we developed a highly efficient recombinase-mediated cassette exchange system to facilitate the transfer of the desired sequences from a bacterial artificial chromosome clone to a transformation-compatible binary vector, expanding the use of the recombineering approaches beyond Arabidopsis (

Indexed as

Recombination, GeneticArabidopsisChromosomes, Artificial, BacterialGene EditingGenes, ReporterGenetic EngineeringPlantsPlants, Genetically Modified

Identifiers

PMID31666295
PMCPMC6961616

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.