Evidence map›Paper›PMID 23107919›Full record

ReviewJournal of biosciences2012

Application of large-scale sequencing to marker discovery in plants.

Robert J Henry, Mark Edwards, Daniel L E Waters, S Gopala Krishnan, Peter Bundock, Timothy R Sexton, Ardashir K Masouleh, Catherine J Nock, Julie Pattemore

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of biosciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. The Challenge of Analyzing the Sugarcane Genome.Frontiers in plant science · 2018
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

9 authors at 5 institutions in 3 countries.

Robert J HenryQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane QLD 4072, Australia. robert.henry@uq.edu.au
Mark Edwards
Daniel L E Waters
S Gopala Krishnan
Peter Bundock
Timothy R Sexton
Ardashir K Masouleh
Catherine J Nock
Julie Pattemore
Southern Cross University · AUCharles Sturt University · AUIndian Agricultural Research Institute · INThe University of Queensland · AUUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in DNA sequencing provide tools for efficient large-scale discovery of markers for use in plants. Discovery options include large-scale amplicon sequencing, transcriptome sequencing, gene-enriched genome sequencing and whole genome sequencing. Examples of each of these approaches and their potential to generate molecular markers for specific applications have been described. Sequencing the whole genome of parents identifies all the polymorphisms available for analysis in their progeny. Sequencing PCR amplicons of sets of candidate genes from DNA bulks can be used to define the available variation in these genes that might be exploited in a population or germplasm collection. Sequencing of the transcriptomes of genotypes varying for the trait of interest may identify genes with patterns of expression that could explain the phenotypic variation. Sequencing genomic DNA enriched for genes by hybridization with probes for all or some of the known genes simplifies sequencing and analysis of differences in gene sequences between large numbers of genotypes and genes especially when working with complex genomes. Examples of application of the above-mentioned techniques have been described.

Indexed as

Genome, PlantPolymorphism, Single NucleotideBreedingContig MappingEpigenesis, GeneticGene ExpressionGenetic MarkersGenomic LibraryGenotypeHigh-Throughput Nucleotide SequencingHybridization, GeneticPhenotypePlants, EdibleQuantitative Trait LociSelection, GeneticGenetic Markers

Identifiers

PMID23107919
OpenAlexW2130942189

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.