Evidence map›Paper›PMID 15299128›Full record

ArticlePlant physiology2004

Utility of different gene enrichment approaches toward identifying and sequencing the maize gene space.

Nathan Michael Springer, Xiequn Xu, W Brad Barbazuk

Abstract read
In one paragraph

Article in Plant physiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Towards decoding the conifer giga-genome.Plant molecular biology · 2012
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Triticeae genomics: advances in sequence analysis of large genome cereal crops.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2007
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. The TIGR Maize Database.Nucleic acids research · 2006
    Article
  14. Analysis and mapping of randomly chosen bacterial artificial chromosome clones from hexaploid bread wheat.Proceedings of the National Academy of Sciences of the United States of America · 2005
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Quality assessment of maize assembled genomic islands (MAGIs) and large-scale experimental verification of predicted genes.Proceedings of the National Academy of Sciences of the United States of America · 2005
    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.

Nathan Michael SpringerCenter for Plant and Microbial Genomics, Department of Plant Biology, University of Minnesota, St. Paul, Minnesota 55108, USA. springer@umn.edu
Xiequn Xu
W Brad Barbazuk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize (Zea mays) possesses a large, highly repetitive genome, and subsequently a number of reduced-representation sequencing approaches have been used to try and enrich for gene space while eluding difficulties associated with repetitive DNA. This article documents the ability of publicly available maize expressed sequence tag and Genome Survey Sequences (GSSs; many of which were isolated through the use of reduced representation techniques) to recognize and provide coverage of 78 maize full-length cDNAs (FLCs). All 78 FLCs in the dataset were identified by at least three GSSs, indicating that the majority of maize genes have been identified by at least one currently available GSS. Both methyl-filtration and high-Cot enrichment methods provided a 7- to 8-fold increase in gene discovery rates as compared to random sequencing. The available maize GSSs aligned to 75% of the FLC nucleotides used to perform searches, while the expressed sequence tag sequences aligned to 73% of the nucleotides. Our data suggest that at least approximately 95% of maize genes have been tagged by at least one GSS. While the GSSs are very effective for gene identification, relatively few (18%) of the FLCs are completely represented by GSSs. Analysis of the overlap of coverage and bias due to position within a gene suggest that RescueMu, methyl-filtration, and high-Cot methods are at least partially nonredundant.

Indexed as

Genome, PlantBase SequenceComputational BiologyDatabases, GeneticDNA, PlantExpressed Sequence TagsGenomic LibraryGenomicsPromoter Regions, GeneticSequence Analysis, DNASequence Homology, Nucleic AcidZea maysDNA, Plant

Identifiers

PMID15299128
PMCPMC523364

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.