Evidence map›Paper›PMID 23589518›Full record

ArticleG3 (Bethesda, Md.)2013

Isolation and diversity analysis of resistance gene homologues from switchgrass.

Qihui Zhu, Jeffrey L Bennetzen, Shavannor M Smith

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Virulence and Genetic Diversity ofPathogens (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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.

Qihui ZhuDepartment of Genetics, The University of Georgia, Athens, Georgia 30602, USA.
Jeffrey L Bennetzen
Shavannor M Smith

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance gene homologs (RGHs) were isolated from the switchgrass variety Alamo by a combination of polymerase chain reaction and expressed sequence tag (EST) database mining. Fifty-eight RGHs were isolated by polymerase chain reaction and 295 RGHs were identified in 424,545 switchgrass ESTs. Four nucleotide binding site--leucine-rich repeat RGHs were selected to investigate RGH haplotypic diversity in seven switchgrass varieties chosen for their representation of a broad range of the switchgrass germplasm. Lowland and upland ecotypes were found to be less similar, even from nearby populations, than were more distant populations with similar growth environments. Most (83.5%) of the variability in these four RGHs was found to be attributable to the within-population component. The difference in nucleotide diversity between and within populations was observed to be small, whereas this diversity is maintained to similar degrees at both population and ecotype levels. The results also revealed that the analyzed RGHs were under positive selection in the studied switchgrass accessions. Intragenic recombination was detected in switchgrass RGHs, thereby demonstrating an active genetic process that has the potential to generate new resistance genes with new specificities that might act against newly-arising pathogen races.

Indexed as

Genetic VariationSequence Homology, Nucleic AcidBase SequenceBinding SitesCloning, MolecularCluster AnalysisConserved SequenceDatabases, Nucleic AcidDisease ResistanceEcotypeExpressed Sequence TagsGenes, PlantHaplotypesMolecular Sequence DataNucleotide MotifsNucleotidesNucleotidesbioenergy cropgenetic diversityNBS-LRRpopulation structureresistance gene homologue (RGH)switchgrass

Identifiers

PMID23589518
PMCPMC3689800

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.