Evidence map›Paper›PMID 21221780›Full record

ArticleTransgenic research2011

Molecular-based environmental risk assessment of three varieties of genetically engineered cows.

Jianxiang Xu, Jie Zhao, Jianwu Wang, Yaofeng Zhao, Lei Zhang, Mingxing Chu, Ning Li

Abstract read
PubMed Publisher
In one paragraph

Article in Transgenic research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. A review of transgenic animal techniques and their applications.Journal, genetic engineering & biotechnology · 2023
    Review
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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

7 authors at 2 institutions in 1 country.

Jianxiang XuState Key Laboratory of Agrobiotechnology, China Agricultural University, 100193 Beijing, China.
Jie Zhao
Jianwu Wang
Yaofeng Zhao
Lei Zhang
Mingxing Chu
Ning Li
China Agricultural University · CNInstitute of Animal Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of animal biotechnology has led to an increase in attention to biosafety issues. Here we evaluated the impact of genetically engineered cows on the environment. The probability of horizontal gene transfer and the impact on the microbial communities in cow gut and soil were tested using three varieties of genetically engineered cows that were previously transformed with a human gene encoding lysozyme, lactoferrin, or human alpha lactalbumin. The results showed that the transgenes were not detectable by polymerase chain reaction (PCR) or quantitative real-time PCR in gut microbial DNA extracts of manure or microbial DNA extracts of topsoil. In addition, the transgenes had no impact on the microbial communities in cow gut or soil as assessed by PCR-denaturing gradient gel electrophoresis or 16S rDNA sequencing. Furthermore, phylogenetic analyses showed that the manure bacteria sampled during each of the four seasons belonged primarily to two groups, Firmicutes and Bacteroidetes, and the soil bacteria belonged to four groups, Firmicutes, Bacteroidetes, Actinobacteria, and α-proteobacteria. Other groups, such as β-proteobacteria, γ-proteobacteria, δ-proteobacteria, ε-proteobacteria, Spirochaetes, Acidobacteria, Chloroflexi, and Nitrospira, were not dominant in the manure or soil.

Indexed as

Soil MicrobiologyAnimalsAnimals, Genetically ModifiedBase SequenceCattleEcological and Environmental PhenomenaGene Transfer, HorizontalHumansLactalbuminLactoferrinManureMolecular Sequence DataMuramidasePhylogenyRisk AssessmentRNA, Ribosomal, 16SLactalbuminLactoferrinManureMuramidaseRNA, Ribosomal, 16S

Identifiers

PMID21221780
OpenAlexW2047557979

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.