Evidence map›Paper›PMID 29352324›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

Efficient genome-wide genotyping strategies and data integration in crop plants.

Davoud Torkamaneh, Brian Boyle, François Belzile

Abstract readReview
PubMed Publisher
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Association ofGynecology and pelvic medicine · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Identification of Late Ripening Citrus Mutant,Plants (Basel, Switzerland) · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Genetic analysis of sucrose concentration in soybean seeds using a historical soybean genomic panel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  17. Article
  18. Chile Pepper (Frontiers in plant science · 2022
    Review
  19. Genome-Wide Association Study Statistical Models: A Review.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  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

3 authors.

Davoud TorkamanehDépartement de Phytologie, Université Laval, Québec City, QC, Canada.
Brian BoyleInstitut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada.
François BelzileDépartement de Phytologie, Université Laval, Québec City, QC, Canada. francois.belzile@fsaa.ulaval.ca.

Funding

Genome Canada 5801
6 · The paper itself

Abstract

key messageNext-generation sequencing (NGS) has revolutionized plant and animal research by providing powerful genotyping methods. This review describes and discusses the advantages, challenges and, most importantly, solutions to facilitate data processing, the handling of missing data, and cross-platform data integration. Next-generation sequencing technologies provide powerful and flexible genotyping methods to plant breeders and researchers. These methods offer a wide range of applications from genome-wide analysis to routine screening with a high level of accuracy and reproducibility. Furthermore, they provide a straightforward workflow to identify, validate, and screen genetic variants in a short time with a low cost. NGS-based genotyping methods include whole-genome re-sequencing, SNP arrays, and reduced representation sequencing, which are widely applied in crops. The main challenges facing breeders and geneticists today is how to choose an appropriate genotyping method and how to integrate genotyping data sets obtained from various sources. Here, we review and discuss the advantages and challenges of several NGS methods for genome-wide genetic marker development and genotyping in crop plants. We also discuss how imputation methods can be used to both fill in missing data in genotypic data sets and to integrate data sets obtained using different genotyping tools. It is our hope that this synthetic view of genotyping methods will help geneticists and breeders to integrate these NGS-based methods in crop plant breeding and research.

Indexed as

Crops, AgriculturalGenetic MarkersGenome, PlantGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingPlant BreedingPolymorphism, Single NucleotideSequence Analysis, DNAGenetic Markers

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.