Evidence map›Paper›PMID 34238778›Full record

ReviewJournal of genetics2021

Skim sequencing: an advanced NGS technology for crop improvement.

Pardeep Kumar, Mukesh Choudhary, B S Jat, Bhupender Kumar, Vishal Singh, Virender Kumar, Deepak Singla, Sujay Rakshit

Abstract readReview
PubMed
In one paragraph

Review in Journal of genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  4. Pathogenic and Genetic Diversity ofJournal of fungi (Basel, Switzerland) · 2025
    Article
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  10. Review
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  15. Review
  16. Article
  17. DNA storage-from natural biology to synthetic biology.Computational and structural biotechnology journal · 2023
    Review
  18. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022
    Article
  19. Article
  20. 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 at 3 institutions in 1 country.

Pardeep KumarICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana 141 004, India. pardeepkumar656@gmail.com.
Mukesh Choudhary
B S Jat
Bhupender Kumar
Vishal Singh
Virender Kumar
Deepak Singla
Sujay Rakshit
ICAR-Indian Institute of Maize Research · INNational Agri-Food Biotechnology Institute · INPunjab Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput genotyping has become more convenient and cost-effective due to recent advancements in next-generation sequencing (NGS) techniques. Numerous approaches exploring sequencing advances for genotyping have been developed over the past decade, which includes different variants of genotyping-by-sequencing (GBS), and restriction-site associated DNA sequencing (RAD-seq). Most of these methods are based on the reduced representation of the genome, which ultimately reduces the cost of sequencing by many folds. However, continuously lowering the cost of sequencing makes it more convenient to use whole genome-based approaches. In this regard, skim sequencing, where low coverage whole-genome sequencing is used for the identification of large numbers of polymorphic markers cost-effectively. In the present review, we have discussed recent technological advancements, applicability, and challenges of skim sequencing-based genotypic approaches for crop improvement programmes. Skim sequencing is being extensively used for genotyping in diverse plant species and has a wide range of applications, particularly in quantitative trait loci (QTL) mapping, genomewide association studies (GWAS), fine genetic map construction, and identification of recombination and gene conversion events in various breeding programmes. The cost-effectiveness, simplicity, and genomewide coverage will increase the application of skims sequencing-based genotyping. The article summarizes the protocol, uses, bioinformatics tools, its application, and future prospects of skim sequencing in crop improvement.

Indexed as

High-Throughput Nucleotide SequencingPlant BreedingCrops, AgriculturalGenome, PlantGenome-Wide Association StudyGenotypeGenotyping TechniquesPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID34238778
OpenAlexW3171985122

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.