Evidence map›Paper›PMID 18780732›Full record

ArticleGenetics2008

Impact of transgene inheritance on the mitigation of gene flow between crops and their wild relatives: the example of foxtail millet.

Yunsu Shi, Tianyu Wang, Yu Li, Henri Darmency

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Taxonomic Demarcation ofFrontiers in plant science · 2018
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Pollen dispersal in sugar beet production fields.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2009
    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

4 authors at 3 institutions in 2 countries.

Yunsu ShiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Tianyu Wang
Yu Li
Henri Darmency
Chinese Academy of Agricultural Sciences · CNInstitut Agro Dijon · FRInstitute of Crop Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing genetically modified crop plants that are biologically contained could reduce significantly the potential spread of transgenes to conventional and organic crop plants and to wild or weedy relatives. Among several strategies, the hereditary mode of transmission of transgenes, whether dominant, recessive, or maternal, could play a major role in interspecific gene flow. Here we report on the gene flow between foxtail millet (Setaria italica), an autogamous crop, and its weedy relative, S. viridis, growing within or beside fields containing the three kinds of inherited herbicide resistance. Over the 6-year study, in the absence of herbicide selection, the maternal chloroplast-inherited resistance was observed at a 2 x 10(-6) frequency in the weed populations. Resistant weed plants were observed 60 times as often, at 1.2 x 10(-4) in the case of the nuclear recessive resistance, and 190 times as often, at 3.9 x 10(-4) in the case of the dominant resistance. Because the recessive gene was not expressed in the first-generation hybrids, it should be more effective than dominant genes in reducing gene flow under normal agricultural conditions where herbicides are sprayed because interspecific hybrids cannot gain from beneficial genes.

Indexed as

TransgenesCrosses, GeneticGene FlowGenes, PlantHerbicide ResistanceHybridization, GeneticPlants, Genetically ModifiedSeedsSetaria Plant

Identifiers

PMID18780732
PMCPMC2567395
OpenAlexW1988070373

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.