Evidence map›Paper›PMID 35184267›Full record

ReviewMolecular biotechnology2022

Selectable Markers to Marker-Free Selection in Rice.

Aditi Sharma, Ayush Chouhan, Tarun Bhatt, Anupreet Kaur, Anu Priya Minhas

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2022. 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
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Aditi Sharma *Department of Biotechnology, University Institute of Engineering and Technology, Sector-25, Panjab University, Chandigarh, 160014, India.
Ayush Chouhan *Department of Biotechnology, University Institute of Engineering and Technology, Sector-25, Panjab University, Chandigarh, 160014, India.
Tarun BhattDepartment of Biotechnology, University Institute of Engineering and Technology, Sector-25, Panjab University, Chandigarh, 160014, India.
Anupreet KaurDepartment of Biotechnology, University Institute of Engineering and Technology, Sector-25, Panjab University, Chandigarh, 160014, India.
Anu Priya MinhasDepartment of Biotechnology, University Institute of Engineering and Technology, Sector-25, Panjab University, Chandigarh, 160014, India. annuminhas@gmail.com.ORCID http://orcid.org/0000-0001-6871-9896
Panjab University · IN

Funding

Science & Technology & Renewable Energy, UT Chandigarh S&T&RE/RP/147(21-22)/10/2021/956
6 · The paper itself

Abstract

Inadequate rice production worldwide is largely attributed to abiotic and biotic stresses, along with high sensitivity of cultivable plant germplasm. In the field of cereal biotechnology, rice engineering plays an important role in achieving tolerance to such stresses. Plant transformation and selection play crucial role in rice engineering. This review summarized the antibiotic, herbicide and metabolic selection marker genes (SMG) employed in diverse rice engineering studies. These SMGs are no longer required after the transformation has been achieved, hence undesirable at the commercial level. This study also included several strategies employed in rice engineering to eliminate such foreign DNA elements. These include co-transformation, site-specific recombination, transposon and CRISPR base approaches. CRISPR/Cas9 being simple and efficient, is considered a crucial step toward clean gene technology. Further ease and applicability of CRISPR/Cas9 in the embryos directly can help us to modify target genes with efficient marker-free selection in minimum time. Overall, this review summarizes and analyse the recent advances that have enormous potential in rice improvement.

Indexed as

OryzaBiotechnologyCloning, MolecularGenetic MarkersPlants, Genetically ModifiedGenetic MarkersCRISPREngineeringMarker-free selectionRiceSelection marker geneTransformation

Identifiers

PMID35184267
OpenAlexW4213346424

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.